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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