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Poster
Mon 9:00 Symmetry-Aware Actor-Critic for 3D Molecular Design
Gregor Simm · Robert Pinsler · Gábor Csányi · José Miguel Hernández Lobato
Poster
Mon 17:00 Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang · Robin Walters · Rose Yu
Poster
Thu 17:00 Representing Partial Programs with Blended Abstract Semantics
Maxwell Nye · Yewen Pu · Matthew Bowers · Jacob Andreas · Joshua B Tenenbaum · Armando Solar-Lezama
Oral
Thu 0:30 Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime
Atsushi Nitanda · Taiji Suzuki
Workshop
Fri 6:00 Keynote 3: Ehsan Saboori. Title: Deep learning model compression using neural network design space exploration
Poster
Wed 17:00 Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs
Zhen Han · Peng Chen · Yunpu Ma · Volker Tresp
Oral
Mon 11:00 Federated Learning Based on Dynamic Regularization
Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama
Oral
Tue 11:00 Iterated learning for emergent systematicity in VQA
Ankit Vani · Max Schwarzer · Yuchen Lu · Eeshan Dhekane · Aaron Courville
Poster
Mon 9:00 Pruning Neural Networks at Initialization: Why Are We Missing the Mark?
Jonathan Frankle · Gintare Dziugaite · Anonymous A Author · Michael Carbin
Poster
Wed 9:00 Probabilistic Numeric Convolutional Neural Networks
Marc Finzi · Roberto Bondesan · Max Welling
Poster
Wed 9:00 Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization
Alexander Korotin · Lingxiao Li · Justin Solomon · Evgeny Burnaev
Poster
Tue 17:00 Deep Equals Shallow for ReLU Networks in Kernel Regimes
Alberto Bietti · Francis Bach