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Poster
Mon 17:00 Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang · Robin Walters · Rose Yu
Poster
Tue 17:00 BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration
Augustus Odena · Kensen Shi · David Bieber · Rishabh Singh · Charles Sutton · Hanjun Dai
Spotlight
Thu 13:40 BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration
Augustus Odena · Kensen Shi · David Bieber · Rishabh Singh · Charles Sutton · Hanjun Dai
Poster
Wed 1:00 Explainable Deep One-Class Classification
Philipp Liznerski · Lukas Ruff · Robert A Vandermeulen · Billy J Franks · Marius Kloft · Klaus R Muller
Workshop
Fri 14:02 Invited Talk: A deep learning theory for neural networks grounded in physics
Benjamin Scellier
Poster
Thu 9:00 Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
Emilio Parisotto · Ruslan Salakhutdinov
Workshop
Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers
Clayton C Ashcraft
Poster
Wed 1:00 Learning from Demonstration with Weakly Supervised Disentanglement
Yordan Hristov · Subramanian Ramamoorthy
Workshop
Fri 10:00 Keynote 4: Yunhe Wang. Title: AdderNet: Do we really need multiplications in deep learning?
Poster
Tue 1:00 Contemplating Real-World Object Classification
Ali Borji
Workshop
Fri 6:56 QA: Reasoning with Deep Learning Architectures Based on System 2 Inductive Biases
Workshop
Fri 7:10 Poster Spotlight "Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure"
Zhijie Deng