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Workshop
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Fri 6:56
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QA: Reasoning with Deep Learning Architectures Based on System 2 Inductive Biases
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Workshop
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Fri 10:00
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Keynote 4: Yunhe Wang. Title: AdderNet: Do we really need multiplications in deep learning?
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Poster
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Tue 1:00
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Contemplating Real-World Object Classification
Ali Borji
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Workshop
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Fri 6:31
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Reasoning with Deep Learning Architectures Based on System 2 Inductive Biases
Yoshua Bengio
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Poster
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Tue 17:00
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DDPNOpt: Differential Dynamic Programming Neural Optimizer
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
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Spotlight
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Tue 19:15
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DDPNOpt: Differential Dynamic Programming Neural Optimizer
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
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Poster
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Wed 17:00
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Revisiting Dynamic Convolution via Matrix Decomposition
Yunsheng Li · Yinpeng Chen · Xiyang Dai · mengchen liu · Dongdong Chen · Ye Yu · Lu Yuan · Zicheng Liu · Mei Chen · Nuno Vasconcelos
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Poster
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Mon 17:00
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Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang · Robin Walters · Rose Yu
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Oral
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Wed 5:00
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Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
Qiang Zhang · Tete Xiao · Alexei Efros · Lerrel Pinto · Xiaolong Wang
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Poster
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Thu 9:00
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Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
Qiang Zhang · Tete Xiao · Alexei Efros · Lerrel Pinto · Xiaolong Wang
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Poster
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Mon 17:00
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Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
Junwen Bai · Weiran Wang · Yingbo Zhou · Caiming Xiong
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Poster
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Tue 1:00
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Scaling the Convex Barrier with Active Sets
Alessandro De Palma · Harkirat Singh Behl · Rudy R Bunel · Philip Torr · M. Pawan Kumar
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