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Poster
Mon 17:00 Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang · Robin Walters · Rose Yu
Spotlight
Tue 3:35 Expressive Power of Invariant and Equivariant Graph Neural Networks
Waïss Azizian · marc lelarge
Poster
Wed 1:00 Expressive Power of Invariant and Equivariant Graph Neural Networks
Waïss Azizian · marc lelarge
Oral
Thu 11:45 Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?
Zhiyuan Li · Yi Zhang · Sanjeev Arora
Poster
Tue 17:00 Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?
Zhiyuan Li · Yi Zhang · Sanjeev Arora
Poster
Mon 9:00 Symmetry-Aware Actor-Critic for 3D Molecular Design
Gregor Simm · Robert Pinsler · Gábor Csányi · José Miguel Hernández Lobato
Poster
Thu 9:00 Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning
Kanil Patel · William H Beluch · Bin Yang · Michael Pfeiffer · Dan Zhang
Poster
Mon 17:00 MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training
Beidi Chen · Zichang Liu · Binghui Peng · Zhaozhuo Xu · Jonathan L Li · Tri Dao · Zhao Song · Anshumali Shrivastava · Christopher Re
Workshop
Fri 6:00 Keynote 3: Ehsan Saboori. Title: Deep learning model compression using neural network design space exploration
Poster
Tue 1:00 A Block Minifloat Representation for Training Deep Neural Networks
Sean Fox · Seyedramin Rasoulinezhad · Julian Faraone · david boland · Philip Leong
Poster
Thu 17:00 Minimum Width for Universal Approximation
Sejun Park · Chulhee Yun · Jaeho Lee · Jinwoo Shin
Poster
Tue 1:00 Lossless Compression of Structured Convolutional Models via Lifting
Gustav Sourek · Filip Zelezny · Ondrej Kuzelka