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Problems in the deployment of machine-learned models in health care

Joseph Paul Cohen and Tianshi Cao and Joseph D Viviano and Chin-Wei Huang and Michael Fralick and Marzyeh Ghassemi and Muhammad Mamdani and Russell Greiner and Yoshua Bengio

2024

Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions

Daniel D Johnson and Ayoub El Hanchi and Chris J Maddison

2023

Subject-driven Text-to-Image Generation via Apprenticeship Learning

Wenhu Chen and Hexiang Hu and Yandong Li and Nataniel Ruiz and Xuhui Jia and Ming-Wei Chang and William W Cohen

2023

Facilitating robotic control using a virtual reality interface

Suzanne Gildert and George Samuel Rose and Graham William Taylor and James Bergstra

2023

Monitoring Shortcut Learning using Mutual Information

Mohammed Adnan and Yani Ioannou and Chuan-Yung Tsai and Angus Galloway and HR Tizhoosh and Graham W Taylor

2023

Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers

Cong Wei and Brendan Duke and Ruowei Jiang and Parham Aarabi and Graham W Taylor and Florian Shkurti

2023

GCNet: Probing Self-Similarity Learning for Generalized Counting Network

Mingjie Wang and Yande Li and Jun Zhou and Graham W Taylor and Minglun Gong

2023

Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition

Juan Carrasquilla and Mohamed Hibat-Allah and Estelle Inack and Alireza Makhzani and Kirill Neklyudov and Graham W Taylor and Giacomo Torlai

2023

DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks

Lazar Atanackovic and Alexander Tong and Jason Hartford and Leo J Lee and Bo Wang and Yoshua Bengio

2023

NodeCoder: a graph-based machine learning platform to predict active sites of modeled protein structures

2023