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01/23/2021
Optimistic and Adaptive Lagrangian Hedging
In online learning an algorithm plays against an environment with losses...
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11/15/2020
CDT: Cascading Decision Trees for Explainable Reinforcement Learning
Deep Reinforcement Learning (DRL) has recently achieved significant adva...
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02/22/2019
On the Sensitivity of Adversarial Robustness to Input Data Distributions
Neural networks are vulnerable to small adversarial perturbations. Exist...
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12/06/2018
Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training
We propose Max-Margin Adversarial (MMA) training for directly maximizing...
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12/03/2018
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
Deep neural networks are known to suffer the catastrophic forgetting pro...
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10/31/2018
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds
In this paper, we investigate Dimensionality reduction (DR) maps in an i...
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05/09/2018
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization
We propose a novel regularizer to improve the training of Generative Adv...
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06/16/2017