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Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano


Oct 24, 2022
Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi

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Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning


Oct 14, 2022
John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael Rabbat

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* v2. arXiv admin note: substantial text overlap with arXiv:2206.15387 

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FRAME: Evaluating Simulatability Metrics for Free-Text Rationales


Jul 02, 2022
Aaron Chan, Shaoliang Nie, Liang Tan, Xiaochang Peng, Hamed Firooz, Maziar Sanjabi, Xiang Ren

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* 16 pages, 18 figures 

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Where to Begin? Exploring the Impact of Pre-Training and Initialization in Federated Learning


Jun 30, 2022
John Nguyen, Kshitiz Malik, Maziar Sanjabi, Michael Rabbat

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* v1 

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ER-TEST: Evaluating Explanation Regularization Methods for NLP Models


May 25, 2022
Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren

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* 19 pages, 10 figures 

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FedShuffle: Recipes for Better Use of Local Work in Federated Learning


Apr 27, 2022
Samuel Horváth, Maziar Sanjabi, Lin Xiao, Peter Richtárik, Michael Rabbat

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* 18 pages, 2 figures, 3 tables, 30 pages of supplementary materials 

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Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem


Apr 12, 2022
Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz

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* Long paper accepted to ACL 2022 Findings 

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Federated Learning with Partial Model Personalization


Apr 08, 2022
Krishna Pillutla, Kshitiz Malik, Abdelrahman Mohamed, Michael Rabbat, Maziar Sanjabi, Lin Xiao

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Understanding Failure Modes of Self-Supervised Learning


Mar 03, 2022
Neha Mukund Kalibhat, Kanika Narang, Liang Tan, Hamed Firooz, Maziar Sanjabi, Soheil Feizi

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A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision


Jan 06, 2022
Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz

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