Sanjabi, Maziar

25 publications

ICLRW 2025 Lost-in-Distance: Impact of Contextual Proximity on LLM Performance in Graph Tasks Hamed Firooz, Maziar Sanjabi, Wenlong Jiang, Xiaoling Zhai

ICML 2024 Differentially Private Representation Learning via Image Captioning Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Oliviero Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo

AAAI 2024 Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features Neha Mukund Kalibhat, Kanika Narang, Hamed Firooz, Maziar Sanjabi, Soheil Feizi

ECCV 2024 Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression Animesh Sinha, Bo Sun, Anmol Kalia, Arantxa Casanova, Elliot Blanchard, David Yan, Winnie Zhang, Tony Nelli, Jiahui Chen, Hardik Shah, Licheng Yu, Mitesh Kumar Singh, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy L Bearman, Dhruv Mahajan

ICML 2024 ViP: A Differentially Private Foundation Model for Computer Vision Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo

ICML 2023 Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson from Fano Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi

CVPR 2023 Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan

ICML 2023 Identifying Interpretable Subspaces in Image Representations Neha Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi

JMLR 2023 On Tilted Losses in Machine Learning: Theory and Applications Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith

ICML 2023 Text-to-Concept (and Back) via Cross-Model Alignment Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi

CVPRW 2023 Text2Concept: Concept Activation Vectors Directly from Text Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi

ICLR 2023 Where to Begin? on the Impact of Pre-Training and Initialization in Federated Learning John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael Rabbat

ICMLW 2022 BARACK: Partially Supervised Group Robustness with Guarantees Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Re

TMLR 2022 FedShuffle: Recipes for Better Use of Local Work in Federated Learning Samuel Horváth, Maziar Sanjabi, Lin Xiao, Peter Richtárik, Michael Rabbat

ICML 2022 Federated Learning with Partial Model Personalization Krishna Pillutla, Kshitiz Malik, Abdel-Rahman Mohamed, Mike Rabbat, Maziar Sanjabi, Lin Xiao

ICMLW 2022 Towards Better Understanding of Self-Supervised Representations Neha Mukund Kalibhat, Kanika Narang, Hamed Firooz, Maziar Sanjabi, Soheil Feizi

ICML 2022 UNIREX: A Unified Learning Framework for Language Model Rationale Extraction Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz

NeurIPSW 2022 Where to Begin? on the Impact of Pre-Training and Initialization in Federated Learning John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael Rabbat

AISTATS 2021 Alternating Direction Method of Multipliers for Quantization Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn

ICLR 2021 Tilted Empirical Risk Minimization Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith

ICLR 2020 Fair Resource Allocation in Federated Learning Tian Li, Maziar Sanjabi, Ahmad Beirami, Virginia Smith

ICMLW 2019 Federated Optimization for Heterogeneous Networks Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith

NeurIPS 2019 Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods Maher Nouiehed, Maziar Sanjabi, Tianjian Huang, Jason Lee, Meisam Razaviyayn

NeurIPS 2018 On the Convergence and Robustness of Training GANs with Regularized Optimal Transport Maziar Sanjabi, Jimmy Ba, Meisam Razaviyayn, Jason Lee

NeurIPS 2017 Federated Multi-Task Learning Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi, Ameet S Talwalkar