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03/15/2023
Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models
Continued improvements in machine learning techniques offer exciting new...
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10/18/2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Curriculum Reinforcement Learning (CRL) aims to create a sequence of tas...
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09/16/2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
A trustworthy reinforcement learning algorithm should be competent in so...
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01/28/2022
Constrained Variational Policy Optimization for Safe Reinforcement Learning
Safe reinforcement learning (RL) aims to learn policies that satisfy cer...
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06/19/2021
Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling
The evaluation of rare but high-stakes events remains one of the main di...
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06/08/2021
Semantically Controllable Scene Generation with Guidance of Explicit Knowledge
Deep Generative Models (DGMs) are known for their superior capability in...
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04/28/2021
Personalized Keyphrase Detection using Speaker and Environment Information
In this paper, we introduce a streaming keyphrase detection system that ...
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02/07/2021
Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data
Optimal transport (OT) has generated much recent interest by its capabil...
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10/15/2020
Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method
This paper studies the safe reinforcement learning (RL) problem without ...
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09/16/2018
Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach
Considering its reliability to provide accurate 3D views along with prec...
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09/15/2018
Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters
Generating multi-vehicle trajectories analogous to these in real world c...
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09/11/2017
