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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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07/07/2020
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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07/30/2018
Leveraging Motion Priors in Videos for Improving Human Segmentation
Despite many advances in deep-learning based semantic segmentation, perf...
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06/27/2018
MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning
Recent studies on neural architecture search have shown that automatical...
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05/08/2018
Robustness Testing of Intermediate Verifiers
Program verifiers are not exempt from the bugs that affect nearly every ...
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08/14/2017
DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters
When will a server fail catastrophically in an industrial datacenter? Is...
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04/27/2017
No More Discrimination: Cross City Adaptation of Road Scene Segmenters
Despite the recent success of deep-learning based semantic segmentation,...
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10/31/2016