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08/08/2023
Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time Detection
Deep neural networks are vulnerable to backdoor attacks (Trojans), where...
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06/20/2023
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback
The ensemble method is a promising way to mitigate the overestimation is...
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06/20/2023
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
Warm-Start reinforcement learning (RL), aided by a prior policy obtained...
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04/20/2023
Omni Aggregation Networks for Lightweight Image Super-Resolution
While lightweight ViT framework has made tremendous progress in image su...
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12/13/2022
Object-fabrication Targeted Attack for Object Detection
Recent researches show that the deep learning based object detection is ...
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12/12/2022
Human Digital Twin: A Survey
Digital twin has recently attracted growing attention, leading to intens...
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12/07/2022
Learning Continuous Depth Representation via Geometric Spatial Aggregator
Depth map super-resolution (DSR) has been a fundamental task for 3D comp...
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05/13/2022
Universal Post-Training Backdoor Detection
A Backdoor attack (BA) is an important type of adversarial attack agains...
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01/06/2022
A Review on Serious Games in E-learning
E-learning is a widely used learning method, but with the development of...
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11/18/2021
A Survey on Metaverse: the State-of-the-art, Technologies, Applications, and Challenges
Metaverse is a new type of Internet application and social form that int...
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08/26/2021
Cross-category Video Highlight Detection via Set-based Learning
Autonomous highlight detection is crucial for enhancing the efficiency o...
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06/08/2021
Self-supervised Graph-level Representation Learning with Local and Global Structure
This paper studies unsupervised/self-supervised whole-graph representati...
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06/04/2021
X-volution: On the unification of convolution and self-attention
Convolution and self-attention are acting as two fundamental building bl...
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05/21/2021
Anomaly Detection of Test-Time Evasion Attacks using Class-conditional Generative Adversarial Networks
Deep Neural Networks (DNNs) have been shown vulnerable to adversarial (T...
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04/29/2021
3D Human Action Representation Learning via Cross-View Consistency Pursuit
In this work, we propose a Cross-view Contrastive Learning framework for...
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04/27/2021
Graphical Modeling for Multi-Source Domain Adaptation
Multi-Source Domain Adaptation (MSDA) focuses on transferring the knowle...
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04/06/2021
The Internet of People: A Survey and Tutorial
Along with the rapid development of Internet and cyber techniques, the I...
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12/22/2020
Distributed Q-Learning with State Tracking for Multi-agent Networked Control
This paper studies distributed Q-learning for Linear Quadratic Regulator...
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10/27/2020
System Identification via Meta-Learning in Linear Time-Varying Environments
System identification is a fundamental problem in reinforcement learning...
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07/17/2020
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation
Transferring knowledges learned from multiple source domains to target d...
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03/28/2020
Cross-domain Detection via Graph-induced Prototype Alignment
Applying the knowledge of an object detector trained on a specific domai...
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02/26/2019
