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Yiran Chen

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Peeking Behind the Curtains of Residual Learning

Feb 13, 2024
Tunhou Zhang, Feng Yan, Hai Li, Yiran Chen

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Group Distributionally Robust Dataset Distillation with Risk Minimization

Feb 07, 2024
Saeed Vahidian, Mingyu Wang, Jianyang Gu, Vyacheslav Kungurtsev, Wei Jiang, Yiran Chen

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PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions

Dec 14, 2023
Qijun Zhang, Shiyu Li, Guanglei Zhou, Jingyu Pan, Chen-Chia Chang, Yiran Chen, Zhiyao Xie

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EDALearn: A Comprehensive RTL-to-Signoff EDA Benchmark for Democratized and Reproducible ML for EDA Research

Dec 04, 2023
Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Yiran Chen

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Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents

Dec 03, 2023
Yuqi Jia, Saeed Vahidian, Jingwei Sun, Jianyi Zhang, Vyacheslav Kungurtsev, Neil Zhenqiang Gong, Yiran Chen

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Efficient Dataset Distillation via Minimax Diffusion

Nov 27, 2023
Jianyang Gu, Saeed Vahidian, Vyacheslav Kungurtsev, Haonan Wang, Wei Jiang, Yang You, Yiran Chen

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SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion

Nov 21, 2023
Yueqian Lin, Jingyang Zhang, Yiran Chen, Hai Li

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DACBERT: Leveraging Dependency Agreement for Cost-Efficient Bert Pretraining

Nov 08, 2023
Martin Kuo, Jianyi Zhang, Yiran Chen

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DistDNAS: Search Efficient Feature Interactions within 2 Hours

Nov 01, 2023
Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen

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Farthest Greedy Path Sampling for Two-shot Recommender Search

Oct 31, 2023
Yufan Cao, Tunhou Zhang, Wei Wen, Feng Yan, Hai Li, Yiran Chen

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