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08/16/2022
Context-Aware Streaming Perception in Dynamic Environments
Efficient vision works maximize accuracy under a latency budget. These w...
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02/11/2022
Investigating Power laws in Deep Representation Learning
Representation learning that leverages large-scale labelled datasets, is...
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06/28/2021
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits
We introduce the "inverse bandit" problem of estimating the rewards of a...
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05/24/2019
Discrete Flows: Invertible Generative Models of Discrete Data
While normalizing flows have led to significant advances in modeling hig...
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02/23/2019
GANSynth: Adversarial Neural Audio Synthesis
Efficient audio synthesis is an inherently difficult machine learning ta...
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09/09/2018
Addressing Sample Inefficiency and Reward Bias in Inverse Reinforcement Learning
The Generative Adversarial Imitation Learning (GAIL) framework from Ho &...
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07/01/2018
Towards Mixed Optimization for Reinforcement Learning with Program Synthesis
Deep reinforcement learning has led to several recent breakthroughs, tho...
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11/20/2016
