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Guojun Zhang

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$f$-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning

Feb 15, 2024
Yiwei Lu, Guojun Zhang, Sun Sun, Hongyu Guo, Yaoliang Yu

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Robust Multi-Task Learning with Excess Risks

Feb 14, 2024
Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao

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DFML: Decentralized Federated Mutual Learning

Feb 02, 2024
Yasser H. Khalil, Amir H. Estiri, Mahdi Beitollahi, Nader Asadi, Sobhan Hemati, Xu Li, Guojun Zhang, Xi Chen

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Parametric Feature Transfer: One-shot Federated Learning with Foundation Models

Feb 02, 2024
Mahdi Beitollahi, Alex Bie, Sobhan Hemati, Leo Maxime Brunswic, Xu Li, Xi Chen, Guojun Zhang

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Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space

Dec 15, 2023
Mohsin Hasan, Guojun Zhang, Kaiyang Guo, Xi Chen, Pascal Poupart

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Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models

Dec 08, 2023
Sobhan Hemati, Mahdi Beitollahi, Amir Hossein Estiri, Bassel Al Omari, Xi Chen, Guojun Zhang

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Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks

Nov 07, 2023
Ahmad Rashid, Serena Hacker, Guojun Zhang, Agustinus Kristiadi, Pascal Poupart

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Understanding Hessian Alignment for Domain Generalization

Aug 22, 2023
Sobhan Hemati, Guojun Zhang, Amir Estiri, Xi Chen

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Normalization Is All You Need: Understanding Layer-Normalized Federated Learning under Extreme Label Shift

Aug 18, 2023
Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen

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