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Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond

Jan 31, 2023
Wenchao Du, Hu Chen, Yi Zhang, H. Yang

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On the Feasibility of Out-of-Band Spatial Channel Information for Millimeter-Wave Beam Search

Aug 04, 2022
Peize Zhang, Pekka Kyösti, Katsuyuki Haneda Pasi Koivumäki, Wei Fan

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HeroNet: A Hybrid Retrieval-Generation Network for Conversational Bots

Jan 29, 2023
Bolin Zhang, Yunzhe Xu, Zhiying Tu, Dianhui Chu

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A Network Science perspective of Graph Convolutional Networks: A survey

Jan 12, 2023
Mingshan Jia, Bogdan Gabrys, Katarzyna Musial

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Phase-shifted Adversarial Training

Jan 12, 2023
Yeachan Kim, Seongyeon Kim, Ihyeok Seo, Bonggun Shin

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Against Algorithmic Exploitation of Human Vulnerabilities

Jan 12, 2023
Inga Strümke, Marija Slavkovik, Clemens Stachl

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Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models

Jan 01, 2023
Zijian Zhang, Zhou Zhao, Zhijie Lin

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InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle

Jun 23, 2022
Mengting Xu, Tao Zhang, Zhongnian Li, Daoqiang Zhang

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On Leave-One-Out Conditional Mutual Information For Generalization

Jul 01, 2022
Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas Diggavi, Stefano Soatto

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Learning to swim efficiently in a nonuniform flow field

Dec 22, 2022
Krongtum Sankaewtong, John J. Molina, Matthew S. Turner, Ryoichi Yamamoto

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