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06/03/2023
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
Modern neural networks are known to give overconfident prediction for ou...
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03/27/2023
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error
Estimating the generalization performance is practically challenging on ...
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03/18/2023
CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning
Partial-label learning (PLL) is an important weakly supervised learning ...
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12/08/2022
Logit Clipping for Robust Learning against Label Noise
In the presence of noisy labels, designing robust loss functions is crit...
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06/17/2022
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
Deep neural networks usually perform poorly when the training dataset su...
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05/19/2022
Mitigating Neural Network Overconfidence with Logit Normalization
Detecting out-of-distribution inputs is critical for safe deployment of ...
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01/31/2022
Can Adversarial Training Be Manipulated By Non-Robust Features?
Adversarial training, originally designed to resist test-time adversaria...
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01/16/2022
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation
This paper studies weakly supervised domain adaptation(WSDA) problem, wh...
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06/21/2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
Learning with noisy labels is a practically challenging problem in weakl...
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12/23/2020
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management
Portfolio management via reinforcement learning is at the forefront of f...
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12/09/2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting
Deep neural networks have been shown to easily overfit to biased trainin...
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11/06/2020
5G Embraces Satellites for 6G Ubiquitous IoT: Basic Models for Integrated Satellite Terrestrial Networks
Terrestrial communication networks can provide high-speed and ultra-reli...
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05/24/2020
Rethinking Blockchains in the Internet of Things Era from a Wireless Communication Perspective
Due to the rapid development of Internet of Things (IoT), a massive numb...
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03/05/2020
Combating noisy labels by agreement: A joint training method with co-regularization
Deep Learning with noisy labels is a practically challenging problem in ...
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01/06/2020
