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Workshop
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Non-Portability of Algorithmic Fairness in India
Nithya Sambasivan · Erin Arnesen · Ben Hutchinson · Vinodkumar Prabhakaran
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Poster
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Tue 9:00
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Measuring Systematic Generalization in Neural Proof Generation with Transformers
Nicolas Gontier · Koustuv Sinha · Siva Reddy · Chris Pal
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Workshop
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Sat 12:22
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Orals 1.2: ZORB: A Derivative-Free Backpropagation Algorithm for Neural Networks
Varun Ranganathan · Alex Lewandowski
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Workshop
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Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms
Quentin Bouniot
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Poster
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Thu 9:00
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Detection as Regression: Certified Object Detection with Median Smoothing
Ping-yeh Chiang · Michael Curry · Ahmed Abdelkader · Aounon Kumar · John Dickerson · Tom Goldstein
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Workshop
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Fri 11:11
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Contributed talk - FedPerf: A Practitioners' Guide to Performance of Federated Learning Algorithms
Tushar Semwal
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Poster
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Thu 9:00
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Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
Roman Pogodin · Peter E Latham
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Workshop
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Fri 17:01
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Lightning Talk 3: Developing a Philosophical Framework for Fair Machine Learning: The Case of Algorithmic Collusion and Market Fairness
James Michelson
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Poster
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Tue 21:00
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Improved Algorithms for Convex-Concave Minimax Optimization
Yuanhao Wang · Jian Li
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Workshop
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Poster: Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms
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Workshop
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Poster: Unified View of Inference-based Off-policy RL: Decoupling Algorithmic and Implemental Source of Performance Gaps
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Workshop
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Clinical Validation of Machine Learning Algorithm Generated Images
Young Joon Kwon
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