Havaei, Mohammad

15 publications

ICCV 2025 Erasing More than Intended? How Concept Erasure Degrades the Generation of Non-Target Concepts Ibtihel Amara, Ahmed Imtiaz Humayun, Ivana Kajic, Zarana Parekh, Natalie Harris, Sarah Young, Chirag Nagpal, Najoung Kim, Junfeng He, Cristina Nader Vasconcelos, Deepak Ramachandran, Golnoosh Farnadi, Katherine Heller, Mohammad Havaei, Negar Rostamzadeh

MLJ 2025 Source-Free Domain Adaptation Requires Penalized Diversity Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Alexandre See, Samira Ebrahimi Kahou, Thomas Fevens, Mohammad Havaei

ICLR 2025 What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models Ahmed Imtiaz Humayun, Ibtihel Amara, Cristina Nader Vasconcelos, Deepak Ramachandran, Candice Schumann, Junfeng He, Katherine A Heller, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei

MIDL 2024 DeCoDEx: Confounder Detector Guidance for Improved Diffusion-Based Counterfactual Explanations Nima Fathi, Amar Kumar, Brennan Nichyporuk, Mohammad Havaei, Tal Arbel

ICMLW 2024 On the Local Geometry of Deep Generative Manifolds Ahmed Imtiaz Humayun, Ibtihel Amara, Candice Schumann, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei

ICML 2024 Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh

ECCV 2022 AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation Farshid Varno, Marzie Saghayi, Laya Rafiee Sevyeri, Sharut Gupta, Stan Matwin, Mohammad Havaei

NeurIPSW 2022 FL Games: A Federated Learning Framework for Distribution Shifts Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio

NeurIPSW 2022 Learning from Uncertain Concepts via Test Time Interventions Ivaxi Sheth, Aamer Abdul Rahman, Laya Rafiee Sevyeri, Mohammad Havaei, Samira Ebrahimi Kahou

NeurIPSW 2022 Pitfalls of Conditional Computation for Multi-Modal Learning Ivaxi Sheth, Mohammad Havaei, Samira Ebrahimi Kahou

CVPR 2022 Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning Moslem Yazdanpanah, Aamer Abdul Rahman, Muawiz Chaudhary, Christian Desrosiers, Mohammad Havaei, Eugene Belilovsky, Samira Ebrahimi Kahou

AAAI 2021 Hypothesis Disparity Regularized Mutual Information Maximization Qicheng Lao, Xiang Jiang, Mohammad Havaei

NeurIPSW 2021 Shift and Scale Is Detrimental to Few-Shot Transfer Moslem Yazdanpanah, Aamer Abdul Rahman, Christian Desrosiers, Mohammad Havaei, Eugene Belilovsky, Samira Ebrahimi Kahou

ICML 2020 Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei

ICLR 2019 Learning to Learn with Conditional Class Dependencies Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin