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Workshop
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Fri 7:10
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Poster Spotlight "Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure"
Zhijie Deng
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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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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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Towards Reinforcement Learning in the Continuing Setting
Abhishek Naik · Zaheer Abbas · Adam White · Richard Sutton
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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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Thu 17:00
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Adapting to Reward Progressivity via Spectral Reinforcement Learning
Michael Dann · John Thangarajah
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Poster
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Wed 17:00
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Simple Augmentation Goes a Long Way: ADRL for DNN Quantization
Lin Ning · Guoyang Chen · Weifeng Zhang · Xipeng Shen
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Poster
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Thu 9:00
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C-Learning: Learning to Achieve Goals via Recursive Classification
Benjamin Eysenbach · Ruslan Salakhutdinov · Sergey Levine
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Poster
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Mon 17:00
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Variational Intrinsic Control Revisited
Taehwan Kwon
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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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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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Workshop
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Fri 11:40
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Deep Kernels with Probabilistic Embeddings for Small-Data Learning
Ankur Mallick
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