Private distribution learning with public data: The view from sample compression
2026
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Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors
2026
Alpacafarm: A simulation framework for methods that learn from human feedback
2026
Copula-based deep survival models for dependent censoring
2026
Impact of Automated Prognostication on Traumatic Brain Injury Care: A Focus Group Study
2026
Unveiling the TADF Emitters with Apparent Negative Singlet‐Triplet Gaps: Implications for Exciton Harvesting and OLED Performance
2025
Robustness implies privacy in statistical estimation
2025
Automated screening of computed tomography using weakly supervised anomaly detection
2025
Trace and pace: Controllable pedestrian animation via guided trajectory diffusion
2025
Neural fields meet explicit geometric representations for inverse rendering of urban scenes
2025
Neuralfield-ldm: Scene generation with hierarchical latent diffusion models
2025
Problems in the deployment of machine-learned models in health care
2024
Segment anything in medical images
2024
DeepVelo: deep learning extends RNA velocity to multi-lineage systems with cell-specific kinetics
2024
A radiographic score for human donor lungs on ex vivo lung perfusion predicts transplant outcomes
2024
Deep learning for automatic organ and tumor segmentation in nanomedicine pharmacokinetics
2024
Gauche: A library for Gaussian processes in chemistry
2024
Artificial design of organic emitters via a genetic algorithm enhanced by a deep neural network
2024
Ultrafast computational screening of molecules with inverted singlet-triplet energy gaps using the Pariser-Parr-Pople semi-empirical quantum chemistry method
2024
Accelerated chemical science with AI
2024
DELFI: A computer oracle for recommending density functionals for excited states calculations
2024
Determining 3D structure from molecular formula and isotopologue rotational spectra in natural abundance with reflection-equivariant diffusion
2024
Accelerating discovery in organic redox flow batteries
2024
Allosteric inhibition of tRNA synthetase Gln4 by N-pyrimidinyl-β-thiophenylacrylamides exerts highly selective antifungal activity
2024
Identifying the risks of lm agents with an lm-emulated sandbox
2024
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization
2024
Probabilistic programming interfaces for random graphs: Markov categories, graphons, and nominal sets
2024
Tools for Verifying Neural Models’ Training Data
2024
Advancing differential privacy: Where we are now and future directions for real-world deployment
2024
Distribution learnability and robustness
2024
Not All Learnable Distribution Classes are Privately Learnable
2024
Pathologies of Predictive Diversity in Deep Ensembles
2024
Learning in the presence of low-dimensional structure: a spiked random matrix perspective
2024
HyperSOR: Context-aware Graph Hypernetwork for Salient Object Ranking
2024
Mitigating the Effect of Incidental Correlations on Part-based Learning
2024
Framework-agnostic Semantically-aware Global Reasoning for Segmentation
2024
Gradient-based feature learning under structured data
2024
Optimal Excess Risk Bounds for Empirical Risk Minimization on -Norm Linear Regression
2024
Calibrated one round federated learning with bayesian inference in the predictive space
2024
Structured Neural Networks for Density Estimation and Causal Inference
2024
Development of a Multimodal Machine Learning-Based Prognostication Model for Traumatic Brain Injury Using Clinical Data and Computed Tomography Scans: A CENTER-TBI and CINTER-TBI Study
2024
Dreamteacher: Pretraining image backbones with deep generative models
2024
Adaptive Combinatorial Maximization: Beyond Approximate Greedy Policies
2024
Clever hans or neural theory of mind? stress testing social reasoning in large language models
2024
GD-COMET: A Geo-Diverse Commonsense Inference Model
2024
Multi-view Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces
2024
Predicting memorability of face photographs with deep neural networks
2024
f-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning
2024
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers
2024
Remembering to Be Fair: On Non-Markovian Fairness in Sequential Decision Making
2024
Managing extreme AI risks amid rapid progress.
2024
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions
2023
Subject-driven Text-to-Image Generation via Apprenticeship Learning
2023
Facilitating robotic control using a virtual reality interface
2023
Monitoring Shortcut Learning using Mutual Information
2023
Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers
2023
GCNet: Probing Self-Similarity Learning for Generalized Counting Network
2023
Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition
2023
DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
2023
NodeCoder: a graph-based machine learning platform to predict active sites of modeled protein structures
2023
Interpretable machine learning for automated left ventricular scar quantification in hypertrophic cardiomyopathy patients
2023
scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI
2023
Generative AI could revolutionize health care — but not if control is ceded to big tech
2023
Self-driving laboratories: A paradigm shift in nanomedicine development
2023
Large language models for chemistry robotics
2023
Revolutionizing drug formulation development: The increasing impact of machine learning
2023
Rational design of organic molecules with inverted gaps between the first excited singlet and triplet
2023
Recent advances in the self-referencing embedded strings (SELFIES) library
2023
Towards equilibrium molecular conformation generation with GFlowNets
2023
Data-driven development of an oral lipid-based nanoparticle formulation of a hydrophobic drug
2023
Boosting quantum amplitude exponentially in variational quantum algorithms
2023
Kernel based quantum machine learning at record rate: Many-body distribution functionals as compact representations
2023
Autonomous data extraction from peer reviewed literature for training machine learning models of oxidation potentials
2023
Probabilistic invariant learning with randomized linear classifiers
2023
Minimax rates for conditional density estimation via empirical entropy
2023
Existence of matching priors on compact spaces
2023
Relaxing the iid assumption: Adaptively minimax optimal regret via root-entropic regularization
2023
Exploring the limits of model-targeted indiscriminate data poisoning attacks
2023
Private gans, revisited
2023
Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent
2023
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks
2023
Federated benchmarking of medical artificial intelligence with MedPerf
2023
Speeding up fourier neural operators via mixed precision
2023
Arbitor: A Numerically Accurate Hardware Emulation Tool for {DNN} Accelerators
2023
TorchProbe: Fuzzing Dynamic Deep Learning Compilers
2023
Grape: Practical and Efficient Graphed Execution for Dynamic Deep Neural Networks on GPUs
2023
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
2023
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra
2023
Managing ai risks in an era of rapid progress
2023
Judging facts, judging norms: Training machine learning models to judge humans requires a modified approach to labeling data
2023
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
2023
Decomposed Prompting to Answer Questions on a Course Discussion Board
2023
Classifying Course Discussion Board Questions using LLMs
2023
TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation
2023
Inve: Interactive neural video editing
2023
Uncertainty guided adaptive warping for robust and efficient stereo matching
2023
Dinn360: Deformable invertible neural network for latitude-aware 360deg image rescaling
2023
Subpixel Deblurring of Anti‐Aliased Raster Clip‐Art
2023
GraphPNAS: Learning Probabilistic Graph Generators for Neural Architecture Search
2023
Weakly-supervised Spatially Grounded Concept Learner for Few-Shot Learning
2023
Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video
2023
Riemannian langevin algorithm for solving semidefinite programs
2023
Towards a complete analysis of langevin monte carlo: Beyond poincaré inequality
2023
An analysis of Transformed Unadjusted Langevin Algorithm for Heavy-tailed Sampling
2023
Attribute controlled dialogue prompting
2023
Contrastive Deterministic Autoencoders For Language Modeling
2023
Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations
2023
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient
2023
Batchnorm Allows Unsupervised Radial Attacks
2023
Do we need Label Regularization to Fine-tune Pretrained Language Models?
2023
Machine learning in computational histopathology: Challenges and opportunities
2023
Characterizing the Progression of Pulmonary Edema Severity: Can Pairwise Comparisons in Radiology Reports Help?
2023
Duett: Dual event time transformer for electronic health records
2023
Deep learning analysis of endometrial histology as a promising tool to predict the chance of pregnancy after frozen embryo transfers
2023
EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms
2023
Align your latents: High-resolution video synthesis with latent diffusion models
2023
Voxformer: Sparse voxel transformer for camera-based 3d semantic scene completion
2023
Texfusion: Synthesizing 3d textures with text-guided image diffusion models
2023
Learning physically simulated tennis skills from broadcast videos
2023
Neural kernel surface reconstruction
2023
Neural lidar fields for novel view synthesis
2023
Learning human dynamics in autonomous driving scenarios
2023
End-to-end 3D Tracking with Decoupled Queries
2023
Towards Viewpoint Robustness in Bird’s Eye View Segmentation
2023
Emerging Pixel-level Semantic Knowledge in Diffusion Models
2023
Fast Distributed k-Means with a Small Number of Rounds
2023
On the Capacity Limits of Privileged ERM
2023
Improved Robust Algorithms for Learning with Discriminative Feature Feedback
2023
Memecap: A dataset for captioning and interpreting memes
2023
What happens before and after: Multi-event commonsense in event coreference resolution
2023
Comet-m: Reasoning about multiple events in complex sentences
2023
From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds?
2023
Knowledge Graph Compression Enhances Diverse Commonsense Generation
2023
CASE: Commonsense-Augmented Score with an Expanded Answer Space
2023
Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning
2023
On the Risk of Misinformation Pollution with Large Language Models
2023
MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing
2023
TheoremQA: A Theorem-driven Question Answering dataset
2023
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
2023
Few-shot In-context Learning for Knowledge Base Question Answering
2023
DreamEdit: Subject-driven Image Editing
2023
MARBLE: Music Audio Representation Benchmark for Universal Evaluation
2023
MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response
2023
EDIS: Entity-Driven Image Search over Multimodal Web Content
2023
Hypernetwork-based personalized federated learning for multi-institutional CT imaging
2023
BUDDY: molecular formula discovery via bottom-up MS/MS interrogation
2023
Memoir study: Investigating image memorability across developmental stages
2023
Operator Selection and Ordering in a Pipeline Approach to Efficiency Optimizations for Transformers
2023
Multi-Objective Reinforcement Learning: Convexity, Stationarity and Pareto Optimality
2023
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
2023
Noisy intermediate-scale quantum algorithms
2022
A comprehensive discovery platform for organophosphorus ligands for catalysis
2022
Experimental high-dimensional greenberger-horne-zeilinger entanglement with superconducting transmon qutrits
2022
Optimized low-depth quantum circuits for molecular electronic structure using a separable-pair approximation
2022
Routescore: Punching the ticket to more efficient materials development
2022
Correction to “Generative Adversarial Networks for Crystal Structure Prediction”
2022
Updated Calibrated Model for the Prediction of Molecular Frontier Orbital Energies and Its Application to Boron Subphthalocyanines
2022
A Materials Acceleration Platform for Organic Laser Discovery
2022
Toward Quantum Computing with Molecular Electronics
2022
Understanding and Mitigating the Limitations of Prioritized Replay
2022
Machine learning using modular solution datasets
2022
Online task inference for compositional tasks with context adaptation
2022
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings
2022
Attribute-aware image generation using neural networks
2022
A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning
2022
Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study
2022
Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland
2022
Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum
2022
Assessment of Machine Learning–Based Medical Directives to Expedite Care in Pediatric Emergency Medicine
2022
Cascaded diffusion models for high fidelity image generation
2022
What makes RAFT better than PWC-Net?
2022
Kubric: A scalable dataset generator
2022
Predicting Fine-Tuning Performance with Probing
2022
Biological underpinnings for lifelong learning machines
2022
Visualizing privacy-utility trade-offs in differentially private data releases
2022
Autoregressive neural network for simulating open quantum systems via a probabilistic formulation
2022
Optimal control of quantum thermal machines using machine learning
2022
Neural Error Mitigation of Near-Term Quantum Simulations
2022
Detecting topological order using recurrent neural network wave functions
2022
Machine-learning Augmented Shadow Tomography (Part I)
2022
Machine Learning Augmented Shadow Tomography (Part II)
2022
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
2022
In medicine, how do we machine learn anything real?
2022
Outcomes in patients with and without disability admitted to hospital with COVID-19: a retrospective cohort study
2022
Automatic localization and brand detection of cervical spine hardware on radiographs using weakly supervised machine learning
2022
Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum
2022
CanDIG: Federated network across Canada for multi-omic and health data discovery and analysis
2022
Safety and efficacy of preventative COVID vaccines: The StopCoV Study
2022
Assessment of Machine Learning–Based Medical Directives to Expedite Care in Pediatric Emergency Medicine
2022
PhenoPad: Building AI enabled note-taking interfaces for patient encounters
2022
Outcome of over 1500 matches through the Matchmaker Exchange for rare disease gene discovery: The 2-year experience of Care4Rare Canada
2022
Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance
2022
Increasing the Cost of Model Extraction with Calibrated Proof of Work
2022
Is fairness only metric deep? evaluating and addressing subgroup gaps in deep metric learning
2022
Optimality and stability in non-convex smooth games
2022
Linearizing Contextual Bandits with Latent State Dynamics
2022
Learning Functions on Multiple Sets using Multi-Set Transformers
2022
Reconstructing complex cancer evolutionary histories from multiple bulk DNA samples using PairtreeReconstructing cancer evolutionary histories using Pairtree
2022
Regional Mutational Signature Activities in Cancer Genomes
2022
Three-dimensional object detection
2022
Compression of images having overlapping fields of view using machine-learned models
2022
Compression of Machine-Learned Models by Vector Quantization
2022
Systems and Methods for Mitigating Vehicle Pose Error Across an Aggregated Feature Map
2022
Systems and Methods for Sensor Data Packet Processing and Spatial Memory Updating for Robotic Platforms
2022
Systems and Methods for Simulating Dynamic Objects Based on Real World Data
2022
System and method for identifying travel way features for autonomous vehicle motion control
2022
Labeling images using a neural network
2022
Neural network motion controller
2022
Generating labels for synthetic images using one or more neural networks
2022
Object image completion
2022
System and method for generation of an interactive color workspace
2022
Neural network motion controller
2022
Reward machines: Exploiting reward function structure in reinforcement learning
2022
Efficient multi-agent epistemic planning: Teaching planners about nested belief
2022
Embedding Ethics in Computer Science Courses: Does it Work?
2022
Knowledge-based programs as building blocks for planning
2022
Conditional Generative Quantile Networks via Optimal Transport
2022
An orbital-based representation for accurate quantum machine learning
2022
Non-covalent interactions between molecular dimers (S66) in electric fields
2022
Visualizing privacy-utility trade-offs in differentially private data releases
2022
The role of adaptive optimizers for honest private hyperparameter selection
2022
Cache me if you can: Accuracy-aware inference engine for differentially private data exploration
2022
Don’t be a tattle-tale: preventing leakages through data dependencies on access control protected data
2022
MIDE: accuracy aware minimally invasive data exploration for decision support
2022
Transitioning from testbeds to ships: an experience study in deploying the TIPPERS Internet of Things platform to the US Navy
2022
Learning to cut by looking ahead: Cutting plane selection via imitation learning
2022
Optimal Representations for Covariate Shift
2022
Augment with Care: Contrastive Learning for the Boolean Satisfiability Problem
2022
The machine learning for combinatorial optimization competition (ml4co): Results and insights
2022
Bayesian nonparametrics for offline skill discovery
2022
Stochastic Reweighted Gradient Descent
2022
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
2022
Re-imagen: Retrieval-augmented text-to-image generator
2022
Explanations from Large Language Models Make Small Reasoners Better
2022
Large language models are few (1)-shot table reasoners
2022
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text
2022
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering
2022
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
2022
HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data
2022
DePlot: One-shot visual language reasoning by plot-to-table translation
2022
Controllable Dialogue Simulation with In-Context Learning
2022
QA Is the New KR: Question-Answer Pairs as Knowledge Bases
2022
Using meta-information in neural machine translation
2022
Federated learning and differential privacy for medical image analysis
2022
Bulk arthropod abundance, biomass and diversity estimation using deep learning for computer vision
2022
On evaluation metrics for graph generative models
2022
Similarity learning networks for animal individual re-identification: an ecological perspective
2022
Predicting dreissenid mussel abundance in nearshore waters using underwater imagery and deep learning
2022
The gist and rist of iterative self-training for semi-supervised segmentation
2022
Learning with Less Labels in Digital Pathology Via Scribble Supervision from Natural Images
2022
Getting the Bugs Out: Entomology Using Computer Vision
2022
Bounding generalization error with input compression: An empirical study with infinite-width networks
2022
Understanding the impact of image and input resolution on deep digital pathology patch classifiers
2022
Understanding the impact of image and input resolution on deep digital pathology patch classifiers
2022
DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software
2022
Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays
2022
Whole-genome sequencing reveals host factors underlying critical COVID-19
2022
Cell transcriptomic atlas of the non-human primate Macaca fascicularis
2022
Artificial intelligence for the echocardiographic assessment of valvular heart disease
2022
Colony stimulating factor-1 producing endothelial cells and mesenchymal stromal cells maintain monocytes within a perivascular bone marrow niche
2022
A sequence-to-sequence approach for document-level relation extraction
2022
DeepVelo: Deep Learning extends RNA velocity to multi-lineage systems with cell-specific kinetics
2022
BIONIC: biological network integration using convolutions
2022
Comparison of machine learning and the regression-based EHMRG model for predicting early mortality in acute heart failure
2022
The promise of machine learning applications in solid organ transplantation
2022
Factors associated with SARS-CoV-2 test positivity in long-term care homes: a population-based cohort analysis using machine learning
2022
A biomarker assay to risk-stratify patients with symptoms of respiratory tract infection
2022
A graph neural network approach for molecule carcinogenicity prediction
2022
One Cell At a Time (OCAT): a unified framework to integrate and analyze single-cell RNA-seq data
2022
Use of wearable technology and deep learning to improve the diagnosis of Brugada syndrome
2022
Using Deep Convolutional Neural Networks to Automate Classification of Carotid Plaques from Ultrasound Imaging
2022
Machine learning as a new frontier in mitral valve surgical strategy
2022
scFormer: A Universal Representation Learning Approach for Single-Cell Data Using Transformers
2022
The differential impacts of dataset imbalance in single-cell data integration
2022
Standardized Radiographic Evaluation of Human Donor Lungs During Ex Vivo Lung Perfusion Predicts Lung Injury and Lung Transplant Outcomes
2022
The Inclusion of Biomarker Scoring During Ex-Vivo Lung Perfusion Can Improve Organ Utilization and Patient Outcomes-A Retrospective, Single Center Study
2022
InsighTx: A Machine-Learning Model That Accurately Predicts Transplant Outcomes During Ex Vivo Lung Perfusion
2022
Do Embedded Ethics Modules Have Impact Beyond the Classroom?
2022
You Can’t Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments
2022
Software for the frontiers of quantum chemistry: An overview of developments in the Q-Chem 5 package
2021
Machine-learned potentials for next-generation matter simulations
2021
Machine learning the quantum-chemical properties of metal–organic frameworks for accelerated materials discovery
2021
Nanoparticle synthesis assisted by machine learning
2021
Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge
2021
Data-science driven autonomous process optimization
2021
Neural message passing on high order paths
2021
Olympus: a benchmarking framework for noisy optimization and experiment planning
2021
Quantum computing at the frontiers of biological sciences
2021
Meta-variational quantum eigensolver: Learning energy profiles of parameterized hamiltonians for quantum simulation
2021
Organic molecules with inverted gaps between first excited singlet and triplet states and appreciable fluorescence rates
2021
Assigning confidence to molecular property prediction
2021
Machine learning directed drug formulation development
2021
Conceptual understanding through efficient automated design of quantum optical experiments
2021
Mutual information-assisted adaptive variational quantum eigensolver
2021
Scientific intuition inspired by machine learning-generated hypotheses
2021
Deep Molecular Dreaming: Inverse machine learning for de-novo molecular design and interpretability with surjective representations
2021
Quantum computer-aided design: digital quantum simulation of quantum processors
2021
Self‐Driving Platform for Metal Nanoparticle Synthesis: Combining Microfluidics and Machine Learning
2021
Quantum computer-aided design of quantum optics hardware
2021
Natural evolutionary strategies for variational quantum computation
2021
Frank-van der Merwe growth in bilayer graphene
2021
An artificial spiking quantum neuron
2021
A molecular computing approach to solving optimization problems via programmable microdroplet arrays
2021
MPGVAE: improved generation of small organic molecules using message passing neural nets
2021
Noise robustness and experimental demonstration of a quantum generative adversarial network for continuous distributions
2021
Analog quantum simulation of non-Condon effects in molecular spectroscopy
2021
Machine Learning Predictions of Drug Release from Polymeric Long Acting Injectables
2021
Funsies: A minimalist, distributed and dynamic workflow engine
2021
Fast Reverse Intersystem Crossing Over 107 s-1 in Organic Emitters with Inverted Singlet-Triplet Gap via Intramolecular Through Space Charge Transfer
2021
Correction to “Extending the Lifetime of Organic Flow Batteries via Redox State Management”
2021
Improving lossless compression rates via monte carlo bits-back coding
2021
Variational Model Inversion Attacks
2021
Few Shot Image Generation via Implicit Autoencoding of Support Sets
2021
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
2021
Your Dataset is a Multiset and You Should Compress it Like One
2021
PID Accelerated Value Iteration Algorithm
2021
Deep Reinforcement Learning for Online Control of Stochastic Partial Differential Equations
2021
Lecture Notes on Reinforcement Learning
2021
Conservative Safety Critics for Exploration
2021
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution
2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics
2021
Dynamics Randomization Revisited: A Case Study for Quadrupedal Locomotion
2021
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting
2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
2021
Learning Latent Actions to Control Assistive Robots
2021
Robust Value Iteration for Continuous Control Tasks
2021
Skill Transfer via Partially Amortized Hierarchical Planning
2021
Principled Exploration via Optimistic Bootstrapping and Backward Induction
2021
Value Iteration in Continuous Actions, States and Time
2021
LASER: Learning a Latent Action Space for Efficient Reinforcement Learning
2021
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers
2021
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition
2021
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos
2021
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects
2021
GIFT: Generalizable Interaction-aware Functional Tool Affordances without Labels
2021
LEAF: Latent Exploration Along the Frontier
2021
Dynamic Bottleneck for Robust Self-Supervised Exploration
2021
Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions
2021
C-Learning: Horizon-Aware Cumulative Accessibility Estimation
2021
Seeing Glass: Joint Point-Cloud and Depth Completion for Transparent Objects
2021
Generalizing Successor Features to continuous domains for Multi-task Learning
2021
Guided uncertainty-aware policy optimization: combining model-free and model-based strategies for sample-efficient learning
2021
How interpretable and trustworthy are gams?
2021
A comprehensive EHR timeseries pre-training benchmark
2021
An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study
2021
Predicting Malignancy in Pediatric Thyroid Nodules: Early Experience With Machine Learning for Clinical Decision Support
2021
Finding associations in a heterogeneous setting: statistical test for aberration enrichment
2021
Assessing therapy response in patient-derived xenografts
2021
MP44-18 accurate estimate of split differential renal function using ultrasound alone for infants with hydronephrosis
2021
Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework
2021
Dear watch, should I get a COVID test? designing deployable machine learning for wearables
2021
Identification of Optical Coherence Tomography Phenotypes and Their Relationship with Patient Outcomes in Youth With Demyelinating Syndromes: Preliminary Results of an Unsupervised Machine Learning Analysis
2021
On extended admissible procedures and their nonstandard Bayes risk
2021
Towards a Unified Information-Theoretic Framework for Generalization
2021
The future is log-Gaussian: ResNets and their infinite-depth-and-width limit at initialization
2021
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers
2021
Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning
2021
Getting to the Point. Index Sets and Parallelism-Preserving Autodiff for Pointful Array Programming
2021
Meta-learning to Improve Pre-training
2021
Image super-resolution via iterative refinement
2021
Unsupervised part representation by Flow Capsules
2021
3D Flexible Refinement: Structure and motion of flexible proteins from cryo-EM
2021
Palette: Image-to-image diffusion models
2021
Advances in modelling continuous heterogeneity from single particle cryo-EM data
2021
Comparing pre-trained and feature-based models for prediction of Alzheimer’s disease based on speech
2021
Coughwatch: Real-world cough detection using smartwatches
2021
Machine Learning–Based Prediction of Growth in Confirmed COVID-19 Infection Cases in 114 Countries Using Metrics of Nonpharmaceutical Interventions and Cultural Dimensions: Model Development and Validation
2021
Using machine learning to predict children’s reading comprehension from linguistic features extracted from speech and writing.
2021
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
2021
Intraoperative Adverse Event Detection in Laparoscopic Surgery: Stabilized Multi-Stage Temporal Convolutional Network with Focal-Uncertainty Loss
2021
Deep Learning for Voice Gender Identification: Proof‐of‐concept for Gender‐Affirming Voice Care
2021
Population-based incidence of invasive pneumococcal disease in children and adults in Ontario and British Columbia, 2002–2018: A Canadian Immunization Research Network (CIRN) study
2021
1211. Incidence of All-Cause Community-Acquired Pneumonia in Ontario and British Columbia, Canada, 2002-2018; a Canadian Immunization Research Network (CIRN) study
2021
System, method, and computer program for cognitive training
2021
An Evaluation of Disentangled Representation Learning for Texts
2021
A machine learning approach to chronic obstructive pulmonary disease exacerbation identification and readmission risk quantification
2021
Hierarchical cnn-transformer based machine learning
2021
Distributed deep learning in open collaborations
2021
Moshpit SGD: Communication-efficient decentralized training on heterogeneous unreliable devices
2021
FPRaker: A Processing Element For Accelerating Neural Network Training
2021
LifeStream: a high-performance stream processing engine for periodic streams
2021
NVOverlay: enabling efficient and scalable high-frequency snapshotting to NVM
2021
Clockwork variational autoencoders
2021
Lime: Learning inductive bias for primitives of mathematical reasoning
2021
Efficient statistical tests: A neural tangent kernel approach
2021
On Monotonic Linear Interpolation of Neural Network Parameters
2021
Training neural networks using evolution based strategies and novelty search
2021
Deep learning for AI
2021
Neural additive models: Interpretable machine learning with neural nets
2021
The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing
2021
An assessment of the structural resolution of various fingerprints commonly used in machine learning
2021
Ab initio machine learning in chemical compound space
2021
How does a Neural Network’s Architecture Impact its Robustness to Noisy Labels?
2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
2021
BLAST: Latent Dynamics Models from Bootstrapping
2021
Understanding the Variance Collapse of SVGD in High Dimensions
2021
Probabilistic simulation of quantum circuits using a deep-learning architecture
2021
Protocol discovery for the quantum control of majoranas by differentiable programming and natural evolution strategies
2021
Attention-based quantum tomography
2021
Variational neural annealing
2021
How To Use Neural Networks To Investigate Quantum Many-Body Physics
2021
U (1)-symmetric recurrent neural networks for quantum state reconstruction
2021
Human pose estimation
2021
Discriminative feature alignment: Improving transferability of unsupervised domain adaptation by Gaussian-guided latent alignment
2021
Referring transformer: A one-step approach to multi-task visual grounding
2021
Weakly-supervised audio-visual sound source detection and separation
2021
PROVIDE: a probabilistic framework for unsupervised video decomposition
2021
Guest editorial introduction to the special issue on large-scale visual sensor networks: architectures and applications
2021
TriBERT: Human-centric Audio-visual Representation Learning
2021
Probabilistic Label-Efficient Deep Generative Structures (PLEDGES)
2021
Ethical machine learning in healthcare
2021
The false hope of current approaches to explainable artificial intelligence in health care
2021
An empirical framework for domain generalization in clinical settings
2021
Implementing machine learning in medicine
2021
The role of machine learning in clinical research: transforming the future of evidence generation
2021
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
2021
Probabilistic machine learning for healthcare
2021
A comprehensive EHR timeseries pre-training benchmark
2021
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
2021
Characterizing generalization under out-of-distribution shifts in deep metric learning
2021
Learning Optimal Predictive Checklists
2021
An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study
2021
Medical Dead-ends and Learning to Identify High-risk States and Treatments
2021
Understanding the Variance Collapse of SVGD in High Dimensions
2021
Problems associated with the deployment of machine learning-based models in health
2021
Implementing machine learning in healthcare
2021
Problèmes associés au déploiement des modèles fondés sur l’apprentissage machine en santé
2021
Mise en œuvre de l’apprentissage machine en santé
2021
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
2021
Caractéristiques et issues des hospitalisations pour les cas de COVID-19 et d’influenza dans la région de Toronto
2021
GA4GH: International policies and standards for data sharing across genomic research and healthcare
2021
International federation of genomic medicine databases using GA4GH standards
2021
Automatically disambiguating medical acronyms with ontology-aware deep learning
2021
MetaFusion: a high-confidence metacaller for filtering and prioritizing RNA-seq gene fusion candidates
2021
Child Neurology: RNA Sequencing for the Diagnosis of Lissencephaly
2021
A Canadian Study of Cisplatin Metabolomics and Nephrotoxicity (ACCENT): A Clinical Research Protocol
2021
Creation of an electronic patient-reported outcome measure platform Voxe: a mixed methods study protocol in paediatric solid organ transplantation
2021
Convergence rate of block-coordinate maximization Burer–Monteiro method for solving large SDPs
2021
An analysis of constant step size sgd in the non-convex regime: Asymptotic normality and bias
2021
Convergence rates of stochastic gradient descent under infinite noise variance
2021
Manipulating sgd with data ordering attacks
2021
Heavy tails in sgd and compressibility of overparametrized neural networks
2021
Fractal structure and generalization properties of stochastic optimization algorithms
2021
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
2021
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings
2021
Dataset Inference: Ownership Resolution in Machine Learning
2021
Bad characters: Imperceptible nlp attacks
2021
Manipulating SGD with data ordering attacks
2021
Hyperparameter Tuning with Renyi Differential Privacy
2021
On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning
2021
Markpainting: Adversarial Machine Learning meets Inpainting
2021
Unrolling sgd: Understanding factors influencing machine unlearning
2021
Accelerating Symbolic Analysis for Android Apps
2021
Losing Less: A Loss for Differentially Private Deep Learning
2021
A Zest of LIME: Towards Architecture-Independent Model Distances
2021
Private Multi-Winner Voting For Machine Learning
2021
Context-invariant, multi-variate time series representations
2021
Fourth International Workshop on Dependable and Secure Machine Learning–DSML 2021
2021
Quantifying and Improving Transferability in Domain Generalization
2021
System and method for bi-directional translation using sum-product networks
2021
Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning
2021
Decentralized Mean Field Games
2021
Learning Object-Oriented Dynamics for Planning from Text
2021
Distributional Reinforcement Learning with Monotonic Splines
2021
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation
2021
Partially Observable Mean Field Reinforcement Learning
2021
Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes
2021
An empirical framework for domain generalization in clinical settings
2021
Learning Optimal Predictive Checklists
2021
Interacting evolutionary pressures drive mutation dynamics and health outcomes in aging blood
2021
Segmenting Hybrid Trajectories using Latent ODEs
2021
Peripheral blood values as predictors of autoimmune status in oral cavity squamous cell carcinoma
2021
Tumour spatial heterogeneity in breast cancer and the impact on clinical management
2021
Deep structured reactive planning
2021
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving
2021
Asynchronous multi-view slam
2021
Photorealistic Image Simulation with Geometry-Aware Composition
2021
Systems and Methods for Using Attention Masks to Improve Motion Planning
2021
Systems and Methods for Latent Distribution Modeling for Scene-Consistent Motion Forecasting
2021
Systems and Methods for Integrating Radar Data for Improved Object Detection in Autonomous Vehicles
2021
Systems and Methods for Vehicle-to-Vehicle Communications for Improved Autonomous Vehicle Operations
2021
Systems and Methods for Jointly Performing Perception, Perception, and Motion Planning for an Autonomous System
2021
High Quality Instance Segmentation
2021
System and Methods for Encoding Octree Structured Point Cloud Data Using an Entropy Model
2021
End-To-End Tracking of Objects
2021
Autonomous Vehicle Lane Boundary Detection Systems and Methods
2021
Sparse Convolutional Neural Networks
2021
Systems and Methods for Training Object Detection Models Using Adversarial Examples
2021
Systems and Methods for Autonomous Vehicle Systems Simulation
2021
Systems and Methods for Training Machine-Learned Models with Deviating Intermediate Representations
2021
Systems and Methods for Selecting Trajectories Based on Interpretable Semantic Representations
2021
Systems and Methods for Training Probabilistic Object Motion Prediction Models Using Non-Differentiable Prior Knowledge
2021
Systems and Methods for Optimized Multi-Agent Routing Between Nodes
2021
Autonomous vehicle lane boundary detection systems and methods
2021
Semantic Segmentation of Three-Dimensional Data
2021
Jointly Learnable Behavior and Trajectory Planning for Autonomous Vehicles
2021
Compression of images having overlapping fields of view using machine-learned models
2021
End-to-end tracking of objects
2021
Conditional Entropy Coding for Efficient Video Compression
2021
Systems and Methods for Answering Region Specific Questions
2021
Localization with Diverse Dataset for Autonomous Vehicles
2021
Systems and Methods for Vehicle-to-Vehicle Communications for Improved Autonomous Vehicle Operations
2021
Systems and Methods for Vehicle-to-Vehicle Communications for Improved Autonomous Vehicle Operations
2021
Systems and Methods for Predicting Instance Geometry
2021
Systems and Methods for Generating Motion Forecast Data for a Plurality of Actors with Respect to an Autonomous Vehicle
2021
Semantic segmentation of three-dimensional data
2021
Differentiable annealed importance sampling and the perils of gradient noise
2021
On Monotonic Linear Interpolation of Neural Network Parameters
2021
REFACTOR: Learning to Extract Theorems from Proofs
2021
Estimating Severity of Depression From Acoustic Features and Embeddings of Natural Speech
2021
High Frequency-Low Amplitude Oscillometry: Continuous Unobtrusive Monitoring of Respiratory Function on PAP Machines
2021
Controlling BigGAN Image Generation with a Segmentation Network
2021
Significance of Speaker Embeddings and Temporal Context for Depression Detection
2021
f-Domain Adversarial Learning: Theory and Algorithms
2021
EditGAN: High-Precision Semantic Image Editing
2021
Image-level or object-level? a tale of two resampling strategies for long-tailed detection
2021
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
2021
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
2021
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
2021
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer
2021
Image generation using one or more neural networks
2021
Environment generation using one or more neural networks
2021
Scalable Neural Data Server: A Data Recommender for Transfer Learning
2021
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation
2021
Method and system for color representation generation
2021
Causal Scene BERT: Improving object detection by searching for challenging groups
2021
Neural rendering for inverse graphics generation
2021
Unsupervised learning of scene structure for synthetic data generation
2021
Systems, devices and methods for transfer learning with a mixture of experts model
2021
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
2021
Causal Scene BERT: Improving object detection by searching for challenging groups
2021
Weighted clustering: Towards solving the user’s dilemma
2021
Open Problem: Are all VC-classes CPAC learnable?
2021
Learnability can be independent of set theory
2021
LTL2action: Generalizing LTL instructions for multi-task rl
2021
Learning reward machines: A study in partially observable reinforcement learning
2021
BLAST: Latent Dynamics Models from Bootstrapping
2021
Explaining the Plans of Agents via Theory of Mind
2021
Be Considerate: Objectives, Side Effects, and Deciding How to Act
2021
The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing
2021
Are my deep learning systems fair? An empirical study of fixed-seed training
2021
S: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks
2021
Demystifying and Generalizing BinaryConnect
2021
DEVIATE: A Deep Learning Variance Testing Framework
2021
Conditional Generative Quantile Networks via Optimal Transport and Convex Potentials
2021
Revisiting flow generative models for Out-of-distribution detection
2021
-Mutual Information Contrastive Learning
2021
Splitting Algorithms for Federated Learning
2021
An assessment of the structural resolution of various fingerprints commonly used in machine learning
2021
Ab initio machine learning in chemical compound space
2021
Machine learning based energy-free structure predictions of molecules, transition states, and solids
2021
Machine learning meets chemical physics
2021
Toward the design of chemical reactions: Machine learning barriers of competing mechanisms in reactant space
2021
Machine learning of free energies in chemical compound space using ensemble representations: Reaching experimental uncertainty for solvation
2021
Introduction: Machine Learning at the Atomic Scale
2021
Simplifying inverse materials design problems for fixed lattices with alchemical chirality
2021
Density Functional Geometries and Zero-Point Energies in Ab Initio Thermochemical Treatments of Compounds with First-Row Atoms (H, C, N, O, F)
2021
Conformer-specific polar cycloaddition of dibromobutadiene with trapped propene ions
2021
Elucidating an Atmospheric Brown Carbon Species—Toward Supplanting Chemical Intuition with Exhaustive Enumeration and Machine Learning
2021
Learning Generalized Gumbel-max Causal Mechanisms
2021
Lossy Compression for Lossless Prediction
2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
2021
Selecting actions to be performed by a reinforcement learning agent using tree search
2021
Dual space preconditioning for gradient descent
2021
Learning Branching Heuristics for Propositional Model Counting
2021
Neural network systems implementing conditional neural processes for efficient learning
2021
Unbiased gradient estimation with balanced assignments for mixtures of experts
2021
Learning to Extend Program Graphs to Work-in-Progress Code
2021
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator
2021
Splicing is an alternate oncogenic pathway activation mechanism in glioma
2020
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes
2020
Direct policy gradients: Direct optimization of policies in discrete action spaces
2020
Gradient Estimation with Stochastic Softmax Tricks
202
Exploring Conditioning for Generative Music Systems with Human-Interpretable Controls
Proceedings of the 10th International Conference on Computational Creativity 2019
Synthesizing Environment-Aware Activities via Activity Sketches
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
Convolutional Recurrent Network for Road Boundary Extraction
2019
Generative Adversarial Networks for text using word2vec intermediaries
arXiv preprint 1904.02293 2019
DeepConsensus: using the consensus of features from multiple layers to attain robust image classification
arXiv preprint 1811.07266 2019
Extracting relevant information from physician-patient dialogues for automated clinical note taking
LOUHI: International Workshop on Health Text Mining and Information Analysis 2019
Fast Convergence of Natural Gradient Descent for Overparameterized Neural Networks
Advances in Neural Information Processing Systems (NeurIPS) 2019
Which algorithmic choices matter at which batch sizes? insights from a noisy quadratic model
Advances in Neural Information Processing Systems (NeurIPS) 2019
Three mechanisms of weight decay regularization
International Conference on Learning Representations (ICLR) 2019
Graph HyperNetworks for Neural Architecture Search
International Conference on Learning Representations 2019
Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise
2019
Neural Graph Evolution: Automatic Robot Design
International Conference on Learning Representation 2019
Exploring Model-based Planning with Policy Networks
2019
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
Proceedings of the 36th International Conference on Machine Learning (ICML) 2019
Object Instance Annotation with Deep Extreme Level Set Evolution
CVPR 2019
Neural Graph Evolution: Automatic Robot Design
International Conference on Learning Representations 2019
Differentiable Hebbian Plasticity for Continual Learning
International Conference on Machine Learning (ICML) Workshop on Adaptive and Multitask Learning 2019
Functional Variational Bayesian Neural Networks
International Conference on Learning Representations (ICLR) 2019
Flexibly Fair Representation Learning by Disentanglement
Proceedings of the 36th International Conference on Machine Learning 2019
Creative Flow+ Dataset
CVPR 2019
Classification and Re-Identification of Fruit Fly Individuals Across Days with Convolutional Neural Networks
IEEE Winter Conference on Applications of Computer Vision (WACV) 2019
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
International Conference on Learning Representations (ICLR) 2019
Don’t Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
Advances in Neural Information Processing Systems (NeurIPS) 2019
Aggregated momentum: Stability through passive damping
International Conference on Learning Representations (ICLR) 2019
Clinically Accurate Chest X-Ray Report Generation
2019
Efficient Graph Generation with Graph Recurrent Attention Networks
Advances in Neural Information Processing Systems (NeurIPS) 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
International Conference on Learning Representations 2019
Multi-Task Multi-Sensor Fusion for 3D Object Detection
2019
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks
Advances in Neural Information Processing Systems (NeurIPS) 2019
Lorentzian Distance Learning
2019
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models
International Conference on Learning Representations 2019
Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning
IEEE CVPR Workshop on Explainable Computer Vision 2019
Understanding Attention in Graph Neural Networks
International Conference on Learning Representations (ICLR) Workshop on Representation Learning on Graphs and Manifolds 2019
Visual Reasoning by Progressive Module Networks
International Conference on Learning Representations 2019
DOM-Q-NET: Grounded RL on Structured Language
International Conference on Learning Representation 2019
Excessive Invariance Causes Adversarial Vulnerability
International Conference on Learning Representations 2019
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer
International Conference on Learning Representations (ICLR) 2019
Scalable Reversible Generative Models with Free-form Continuous Dynamics
International Conference on Learning Representations 2019
Batch Normalization is a Cause of Adversarial Vulnerability
International Conference on Machine Learning (ICML) Workshop on Identifying and Understanding Deep Learning Phenomena 2019
Residual Flows for Invertible Generative Modeling
Advances in Neural Information Processing Systems (NeurIPS) 2019
Explaining Image Classifiers by Counterfactual Generation
International Conference on Learning Representations 2019
ACTRCE: Augmenting Experience via Teacher’s Advice For Multi-Goal Reinforcement Learning
2019
Sorting out Lipschitz function approximation
Proceedings of the 36th International Conference on Machine Learning (ICML) 2019
End-To-End Interpretable Neural Motion Planner
2019
Learning to Localize Through Compressed Binary Maps
2019
Differentiable probabilistic models of scientific imaging with the Fourier slice theorem
Conference on Uncertainty in Artificial Intelligence (UAI) 2019
Latent ODEs for Irregularly-Sampled Time Series
Advances in Neural Information Processing Systems (NeurIPS) 2019
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss
2019
Generative Adversarial Networks for text using word2vec intermediaries
the 4th Workshop on Representation Learning for NLP (RepL4NLP at ACL 2019) 2019
How do we feel when a robot dies? Emotions expressed on Twitter before and after hitchBOT’s destruction
The 10th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA 2019) 2019
Predicting ICU transfers using text messages between nurses and doctors
ClinicalNLP 2019 2019
AutoScribe: Extracting clinically pertinent information from patient-clinician dialogues
MedInfo 2019
Detecting cognitive impairments by agreeing on interpretations of linguistic features
NAACL 2019
Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modeling
NAACL 2019
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus
NAACL 2019
Augmenting word2vec with latent Dirichlet allocation within a clinical application
NAACL 2019
Centroid-based deep metric learning for speaker recognition
ICASSP 2019
Towards international standards for evaluating machine learning
SafeAI 2019
Robot Learning by Collaborative Network Training: A Self-Supervised Method Using Ranking
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems 2019
The Lottery Ticket Hypothesis at Scale
2019
Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT
2019
Can AI Help Reduce Disparities in General Medical and Mental Health Care?
AMA journal of ethics 2019 21(2):167--179
Sampling and estimation for (sparse) exchangeable graphs
Ann. Statist. 2019 47(6):3274--3299
Neural Gutzwiller-Projected Variational Wave Functions
arXiv:1906.00463 [cond-mat] 2019
Wavefunction Positivization via Automatic Differentiation
arXiv:1906.04654 [cond-mat, physics:quant-ph] 2019
A deep learning system can accurately classify primary and metastatic cancers based on patterns of passenger mutations
bioRxiv 2019
Automatically determining cause of death from verbal autopsy narratives
BMC Medical Informatics 2019 9:127
Development of a ternary hybrid fNIRS-EEG brain-computer interface based on imagined speech
Brain-Computer Interfaces (Accepted) 2019
DARNet: Deep Active Ray Network for Building Segmentation
CoRR 2019
Deep Rigid Instance Scene Flow
CoRR 2019
Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations
CoRR 2019
Action Recognition from Single Timestamp Supervision in Untrimmed Videos
CoRR 2019
A Variational Auto-Encoder Model for Stochastic Point Processes
CoRR 2019
Neural Sequential Phrase Grounding (SeqGROUND)
CoRR 2019
Fast Interactive Object Annotation with Curve-GCN
CoRR 2019
Dynamic Measurement Scheduling for Event Forecasting using Deep RL
CoRR 2019
UPSNet: A Unified Panoptic Segmentation Network
CoRR 2019
Accessible data, health AI, and the human right to benefit from science and its applications
Health Law in Canada 2019 40(1):37-43
From Group-Level Statistics to Single-Subject Prediction: Machine Learning Detection of Concussion in Retired Athletes
IEEE Transactions on Neural Systems and Rehabilitation Engineering 2019 :1-1
Explainable artificial intelligence for safe intraoperative decision support
JAMA Surgery 2019
A survey of word embeddings for clinical text
Journal of Biomedical Informatics 2019 4
Artificial intelligence and the implementation challenge
Journal of Medical Internet Research 2019 21(7):e13659
On the computability of conditional probability
Journal of the ACM 2019 66(3)
Reconstructing Quantum States with Generative Models
Nature Machine Intelligence 2019 1(3):155
Restricted Boltzmann Machines in Quantum Physics
Nature Physics 2019 :1
Patterns of joint involvement in juvenile idiopathic arthritis and prediction of disease course: A prospective study with multilayer non-negative matrix factorization
PLOS Medicine 2019 16(2):1-22
Talk2Me: Automated linguistic data collection for personal assessment
PLoS ONE 2019 14(3):e0212342
The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data
PloS one 2019 14(1):e0210232
WearBreathing: Real World Respiratory Rate Monitoring Using Smartwatches
ACM conference on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019 3(2)
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI
2019
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
2019
Sparse convolutional neural networks
2019
Relative energies without electronic perturbations via integral transform
2019
On empirical comparisons of optimizers for deep learning
2019
Hamiltonian descent for composite objectives
2019
Learning Latent Subspaces in Variational Autoencoders
Advances in Neural Information Processing Systems 31 2018
Unsupervised Video Object Segmentation for Deep Reinforcement Learning
Advances in Neural Information Processing Systems 31 2018
Occam’s razor is insufficient to infer the preferences of irrational agents
Advances in Neural Information Processing Systems 31 2018
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
Advances in Neural Information Processing Systems 31 2018
Isolating Sources of Disentanglement in Variational Autoencoders
Advances in Neural Information Processing Systems 31 2018
Neural Guided Constraint Logic Programming for Program Synthesis
Advances in Neural Information Processing Systems 31 2018
A Neural Compositional Paradigm for Image Captioning
Advances in Neural Information Processing Systems 31 2018
The more fine-grained the better for transfer learning
NeurIPS Workshop on Modeling and Decision Making in the Spatiotemporal Domain 2018
TzK: Flow-Based Conditional Generative Model
NeurIPS Workshop on Bayesian Deep Learning 2018
Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture
Computer and Robot Vision (CRV) 2018
Neural Relational Inference for Interacting Systems
Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
International Conference on Learning Representations (ICLR) 2018
VSE++: Improved visual-semantic embeddings with hard negatives
British Machine Vision Conference (BMVC) 2018
ChainGAN: A sequential approach to GANs
arXiv preprint 1811.08081 2018
Dropout during inference as a model for neurological degeneration in an image captioning network
arXiv preprint 1808.03747 2018
Deconfounding age effects with fair representation learning when assessing dementia
arXiv preprint 1807.07217 2018
Developing innovative interdisciplinary technological solutions for caregivers of older adults within Canada’s technology and aging network
12th ISPRM World Congress, Paris France 2018
Creating the CARE\_RATE interface through multi-modal participatory design with caregivers of people with dementia
11th World Conference of the International Society for Gerontechnology (ISG2018), St. Petersburg, FL 2018
The Impact of Design on Feelings of Trust of Online Information for Family Caregivers of People with Dementia
British Computer Society 32nd Human Computer Interaction Conference (BHCI-2018), Belfast, UK 2018
Finding Patterns of Events in Laparoscopic Roux-en-Y Gastric Bypass with Machine Learning Techniques
Scientific Forum program at the American College of Surgeons 2018
Feasibility Of Using Android Smartwatches For Nearly Continuous Monitoring Of Patients With COPD
Proceedings of the American Thoracic Society 2018
Towards Ambulatory Cough Monitoring using Smartwatches
Proceedings of the American Thoracic Society 2018
Similarity Network Fusion: A Novel Application to Making Clinical Diagnoses
Rheumatic Disease Clinics of North America; v44 n2; doi: 10.1016/j.rdc.2018.01.005. 2018
Noisy Natural Gradient as Variational Inference
Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
Neural Guided Constraint Logic Programming for Program Synthesis
Advances in Neural Information Processing Systems (NeurIPS) 2018
Leveraging Constraint Logic Programming for Neural Guided Program Synthesis
2018
Inference in probabilistic graphical models by Graph Neural Networks
2018
Understanding Short-Horizon Bias in Stochastic Meta-Optimization
International Conference on Learning Representations (ICLR) 2018
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
International Conference on Learning Representations (ICLR) 2018
NerveNet: Learning Structured Policy with Graph Neural Networks
International Conference on Learning Representation 2018
Adversarial Distillation of Bayesian Neural Network Posteriors
Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
The Ontario Data Safe Haven: Bringing High Performance Computing to Population-wide Data Assets
Internationa Journal of Population Data Science 2018
Self-Paced Learning with Adaptive Deep Visual Embeddings
British Machine Vision Conference (BMVC) 2018
Differentiable Compositional Kernel Learning for Gaussian Processes
Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
Motif models for RNA-binding proteins
2018
On the convergence and robustness of training GANs with regularized optimal transport
Advances in Neural Information Processing Systems 2018
Reconstructing evolutionary trajectories of mutations in cancer
2018
The Elephant in The Room
2018
Meta-Learning for Semi-Supervised Few-Shot Classification
International Conference on Learning Representations (ICLR) 2018
Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU
Proceedings of the 3rd Machine Learning for Healthcare Conference 2018
Adversarial Distillation of Bayesian Neural Network Posteriors
Proceedings of the 35th International Conference on Machine Learning 2018
Learning to Reweight Examples for Robust Deep Learning
Proceedings of the 35th International Conference on Machine Learning 2018
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control
Proceedings of the 35th International Conference on Machine Learning 2018
Learning Adversarially Fair and Transferable Representations
Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
Reviving and Improving Recurrent Back-Propagation
Proceedings of the 35th International Conference on Machine Learning 2018
Neural Relational Inference for Interacting Systems
Proceedings of the 35th International Conference on Machine Learning 2018
Inference Suboptimality in Variational Autoencoders
Proceedings of the 35th International Conference on Machine Learning 2018
Kronecker-factored curvature approximations for recurrent neural networks
International Conference on Learning Representation 2018
Predict Responsibly: Increasing Fairness by Learning to Defer
2018
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
Advances in Neural Information Processing Systems (NeurIPS) 2018
Stochastic Layer-Wise Precision in Deep Neural Networks
Conference on Uncertainty in Artificial Intelligence (UAI) 2018
Understanding Anatomy Classification through Attentive Response Maps
IEEE International Symposium on Biomedical Imaging (ISBI) 2018
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules
Neural Information Processing Systems (NeurIPS) Workshop on Machine Learning for Molecules and Materials 2018
Learning Latent Subspaces in Variational Autoencoders
Advances in Neural Information Processing Systems (NeurIPS) 2018
Quantitatively Evaluating GANs with Divergences Proposed for Training
International Conference on Learning Representations (ICLR) 2018
Gradient-based Optimization of Neural Network Architecture
2018
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
2018
Predicting Adversarial Examples with High Confidence
2018
Adversarial Examples as an Input-Fault Tolerance Problem
Neural Information Processing Systems (NeurIPS) Workshop on Security in Machine Learning 2018
Attacking Binarized Neural Networks
International Conference on Learning Representations (ICLR) 2018
Adversarial Training Versus Weight Decay
2018
Keep Drawing It: Iterative language-based image generation and editing
Neural Information Processing Systems (NeurIPS) Workshop on Visually Grounded Interaction and Language (ViGIL) 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks
2018
Inference Suboptimality in Variational Autoencoders
Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
Isolating Sources of Disentanglement in Variational Autoencoders
Advances in Neural Information Processing Systems (NeurIPS) 2018
Reversible recurrent neural networks
Advances in Neural Information Processing Systems (NeurIPS) 2018
A Coordinate-Free Construction of Scalable Natural Gradient
2018
Stochastic Hyperparameter Optimization through Hypernetworks
2018
Graph Partition Neural Networks for Semi-Supervised Classification
2018
Racial disparities and mistrust in end-of-life care
2018
Modeling Mistrust in End-of-Life Care
2018
Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points
Proc.~of the 31st IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) 2018
Eigenvalue corrected noisy natural gradient
2018
Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++
CVPR 2018
Now You Shake Me: Towards Automatic 4D Cinema
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018
Learning Discrete Weights Using the Local Reparameterization Trick
International Conference on Learning Representations (ICLR) 2018
Learning Latent Representations of Music to Generate Interactive Musical Palettes
Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), Tokyo, Japan, March 11, 2018. 2018
Neural Ordinary Differential Equations
Advances in Neural Information Processing Systems (NeurIPS) 2018
Global Non-convex Optimization with Discretized Diffusions
Advances in Neural Information Processing Systems 31 2018
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
Advances in Neural Information Processing Systems 31 2018
Iterative Value-Aware Model Learning
Advances in Neural Information Processing Systems 31 2018
Reversible Recurrent Neural Networks
Advances in Neural Information Processing Systems 31 2018
Data-dependent PAC-Bayes priors via differential privacy
Advances in Neural Information Processing Systems 31 2018
Monte-Carlo Tree Search for Constrained POMDPs
Advances in Neural Information Processing Systems 31 2018
Deep Homogeneous Mixture Models: Representation, Separation, and Approximation
Advances in Neural Information Processing Systems 31 2018
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
Advances in Neural Information Processing Systems 31 2018
Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks
Advances in Neural Information Processing Systems 31 2018
Multi-lingual ICD-10 Coding using an Ensemble of Recurrent and Convolutional Neural Networks
CLEF 2018 eHealth Task 1 2018
Semi-supervised classification by reaching consensus among modalities
NeurIPS IRASL 2018
Robustness against the channel effect in pathological voice detection
NeurIPS ML4H 2018
Learning multiview embeddings for assessing dementia
EMNLP 2018
A Textual Analysis of U.S. Corporate Social Responsibility Reports
2018 Canadian Academic Accounting Association (CAAA) Annual Conference 2018
Interactive Search through Iterative Refinement
2nd International Workshop on Conversational Approaches to Information Retrieval (CAIR'18) at SIGIR 2018
Challenges with Real-World Smartwatch based Audio Monitoring
WearSys'18: 4th ACM Workshop on wearable systems and applications 2018
Speech in Smartwatch based Audio
MobiSys'18: The 16th Annual International Conference on Mobile Systems, Applications, and Services 2018
Reality Recalled: Elders, Memory and VR
Proceedings of the 2018 IEEE International Conference on Virtual Systems and Multimedia (VSMM) 2018
Touch-Supported Voice Recording to Facilitate Forced Alignment of Text and Speech in an E-Reading Interface
Proceedings of the 2018 ACM International Conference on Intelligent User Interfaces 2018
Empirical Risk Minimization under Fairness Constraints
Advances in Neural Information Processing Systems (NeurIPS) 2018
Data-dependent PAC-Bayes priors via differential privacy
Advances in Neural Information Processing Systems (NeurIPS) 2018
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors
Proceedings of the 35th International Conference on Machine Learning (ICML) 2018
Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation
2018
The Effect of Heterogeneous Data for Alzheimer’s Disease Detection from Speech
2018
ClinicalVis: Supporting Clinical Task-Focused Design Evaluation
2018
Algorithmic barriers to representing conditional independence
Proc. Conference on Logic in Computer Science (LICS) 2018
Global Non-convex Optimization with Discretized Diffusions
2018
A Face-to-Face Neural Conversation Model
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition 2018 :7113-7121
Automatic chemical design using a data-driven continuous representation of molecules
American Chemical Society Central Science 2018
MySurgeryRisk and Machine Learning: A Promising Start to Real-time Clinical Decision Support
Annals of Surgery 2018 269(1):14-15
The evolutionary history of 2,658 cancers
bioRxiv 2018
TrackSig: reconstructing evolutionary trajectories of mutation signature exposure
bioRxiv 2018
Portraits of genetic intra-tumour heterogeneity and subclonal selection across cancer types
bioRxiv 2018
The evolutionary landscape of localized prostate cancers drives clinical aggression
Cell 2018 173(4):1003--1013
SurfConv: Bridging 3D and 2D Convolution for RGBD Images
CoRR 2018
Prediction of New Onset Diabetes after Liver Transplant
CoRR 2018
Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL
CoRR 2018
Lifelong Learning for Image Captioning by Asking Natural Language Questions
CoRR 2018
DeepFlux for Skeletons in the Wild
CoRR 2018
Image Generation from Layout
CoRR 2018
Scene Categorization from Contours: Medial Axis Based Salience Measures
CoRR 2018
Invertible Residual Networks
CoRR 2018
Middle-Out Decoding
CoRR 2018
Understanding the Origins of Bias in Word Embeddings
CoRR 2018
VirtualHome: Simulating Household Activities via Programs
CoRR 2018
Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points
CoRR 2018
NeuroSpeech: An open-source software for Parkinson’s speech analysis
Digital Signal Processing 2018 77:207--221
QAPA: a new method for the systematic analysis of alternative polyadenylation from RNA-seq data
Genome Biology 2018 19(1):45
QAPA: a new method for the systematic analysis of alternative polyadenylation from RNA-seq data
Genome Biology 2018 19:45
Modified mean shift algorithm
IET Image Processing 2018 12(12):2172-2177
Feasibility of using a smartwatch to intensively monitor patients with COPD
JMIR Mhealth Uhealth 2018 6(6)
Voxel-Wise Logistic Regression and Leave-One-Source-Out Cross Validation for White Matter Hyperintensity Segmentation
Magnetic Resonance Imaging 2018 54:119--136
Algorithmic Advances in Single Particle Cryo-EM Data Processing
Microscopy and Microanalysis 2018 24(S1):868-869
Observation of Topological Phenomena in a Programmable Lattice of 1,800 Qubits
Nature 2018 560(7719):456
Observation of topological phenomena in a programmable lattice of 1,800 qubits
Nature 2018 560(7719):456--460
Neural-Network Quantum State Tomography
Nature Physics 2018 14(5):447
Machine learning for MEG during speech tasks
Nature Scientific Reports 2018 9:1609
This time with feeling: learning expressive musical performance
Neural Computing and Applications 2018
GeneMANIA update 2018
Nucleic Acids Research 2018 46(W1):W60-W64
Can Drosophila melanogaster tell who’s who?
PLOS One 2018 13(10)
Ambulatory assessment of phonotraumatic vocal hyperfunction using glottal airflow measures estimated from neck-surface acceleration
PloS one 2018 13(12):e0209017
High-Density Proximity Mapping Reveals the Subcellular Organization of mRNA-Associated Granules and Bodies
PubMed.gov 2018
Privacy versus artificial intelligence in medicine
University of Toronto Medical Journal 2018 96(1)