Rostamzadeh, Negar

19 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

ICLRW 2025 Unlearning Geo-Cultural Stereotypes in Multilingual LLMs Alireza Dehghanpour Farashah, Aditi Khandelwal, Negar Rostamzadeh, Golnoosh Farnadi

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

ICMLW 2024 Bias-Inducing Geometries: Exactly Solvable Data Model with Fairness Implications Stefano Sarao Mannelli, Federica Gerace, Negar Rostamzadeh, Luca Saglietti

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

CHIL 2022 Disability Prediction in Multiple Sclerosis Using Performance Outcome Measures and Demographic Data Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomašev, Fletcher Lee Hartsell, Katherine Heller

NeurIPSW 2022 From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML Shalaleh Rismani, Renee Shelby, Andrew J Smart, Edgar Wilfred Jatho, Joshua A. Kroll, Ajung Moon, Negar Rostamzadeh

MLHC 2021 Deep Cox Mixtures for Survival Regression Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine Heller

NeurIPSW 2021 Thinking Beyond Distributions in Testing Machine Learned Models Negar Rostamzadeh, Ben Hutchinson, Christina Greer, Vinodkumar Prabhakaran

CVPRW 2020 CLAREL: Classification via Retrieval Loss for Zero-Shot Learning Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal

ICLR 2020 Reinforced Active Learning for Image Segmentation Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal

NeurIPS 2019 Adaptive Cross-Modal Few-Shot Learning Chen Xing, Negar Rostamzadeh, Boris Oreshkin, Pedro O O. Pinheiro

ICLRW 2019 Adaptive Cross-Modal Few-Shot Learning Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro

AAAI 2019 Adversarial Framing for Image and Video Classification Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro

NeurIPS 2019 Neural Multisensory Scene Inference Jae Hyun Lim, Pedro O O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn

NeurIPSW 2019 Retrieving Signals with Deep Complex Extractors Chiheb Trabelsi, Olexa Bilaniuk, Ousmane Dia, Ying Zhang, Mirco Ravanelli, Jonathan Binas, Negar Rostamzadeh, Christopher J Pal

ICLR 2018 Deep Complex Networks Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, Joao Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J Pal

ECCV 2018 Where Are the Blobs: Counting by Localization with Point Supervision Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vazquez, Mark Schmidt