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10/08/2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
In this paper, we tackle the problem of domain shift. Most existing meth...
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03/07/2021
Estimating and Improving Fairness with Adversarial Learning
Fairness and accountability are two essential pillars for trustworthy Ar...
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09/27/2019
DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation
In this paper, we propose the differentiable mask-matching network (DMM-...
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06/27/2018
Adversarial Distillation of Bayesian Neural Network Posteriors
Bayesian neural networks (BNNs) allow us to reason about uncertainty in ...
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12/25/2017
Space-Filling Designs for Robustness Experiments
To identify the robust settings of the control factors, it is very impor...
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12/24/2017
