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12/25/2020
Contextual Temperature for Language Modeling
Temperature scaling has been widely used as an effective approach to con...
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07/08/2020
Remix: Rebalanced Mixup
Deep image classifiers often perform poorly when training data are heavi...
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07/07/2020
Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks
Analog computing hardware has gradually received more attention by the r...
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11/17/2019
Learning with Hierarchical Complement Objective
Label hierarchies widely exist in many vision-related problems, ranging ...
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03/23/2019
Improving Adversarial Robustness via Guided Complement Entropy
Model robustness has been an important issue, since adding small adversa...
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03/04/2019
Complement Objective Training
Learning with a primary objective, such as softmax cross entropy for cla...
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08/29/2018
Searching Toward Pareto-Optimal Device-Aware Neural Architectures
Recent breakthroughs in Neural Architectural Search (NAS) have achieved ...
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06/27/2018
