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08/11/2023
Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation
Deep neural networks are vulnerable to universal adversarial perturbatio...
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04/23/2023
Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks
With the rapid development of Internet of Things technologies, the next ...
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02/16/2023
Unsupervised Evaluation of Out-of-distribution Detection: A Data-centric Perspective
Out-of-distribution (OOD) detection methods assume that they have test g...
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12/02/2022
Model and Data Agreement for Learning with Noisy Labels
Learning with noisy labels is a vital topic for practical deep learning ...
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08/28/2022
The rate of Lp-convergence for the Euler-Maruyama method of the stochastic differential equations with Markovian switching
This work deals with the Euler-Maruyama (EM) scheme for stochastic diffe...
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07/21/2022
Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition
Noisy label Facial Expression Recognition (FER) is more challenging than...
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01/22/2022
Learning Efficient Representations for Enhanced Object Detection on Large-scene SAR Images
It is a challenging problem to detect and recognize targets on complex l...
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05/16/2021
Semi-supervised Contrastive Learning with Similarity Co-calibration
Semi-supervised learning acts as an effective way to leverage massive un...
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02/16/2021
Steadily Learn to Drive with Virtual Memory
Reinforcement learning has shown great potential in developing high-leve...
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01/16/2018
An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images
The location of broken insulators in aerial images is a challenging task...
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12/27/2017
Scalable Entity Resolution Using Probabilistic Signatures on Parallel Databases
Accurate and efficient entity resolution is an open challenge of particu...
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08/04/2017