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12/02/2021
Reward-Free Attacks in Multi-Agent Reinforcement Learning
We investigate how effective an attacker can be when it only learns from...
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04/08/2021
Prototypical Region Proposal Networks for Few-Shot Localization and Classification
Recently proposed few-shot image classification methods have generally f...
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11/15/2019
Explanatory Masks for Neural Network Interpretability
Neural network interpretability is a vital component for applications ac...
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09/14/2019
Metric-Based Few-Shot Learning for Video Action Recognition
In the few-shot scenario, a learner must effectively generalize to unsee...
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09/30/2017
Bounded Rationality in Scholarly Knowledge Discovery
In an information-rich world, people's time and attention must be divide...
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08/22/2017
Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems
The Koopman operator has recently garnered much attention for its value ...
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06/06/2017