Mark Ibrahim - RankMe

67 papers A* 16C 1Journal 48Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Brittlebench: Quantifying LLM robustness via prompt sensitivity. CoRR Angelika Romanou, Mark Ibrahim, Candace Ross, Chantal Shaib, Kerem Okta, Samuel J. Bell, Elia Ovalle, Jesse Dodge, Antoine Bosselut, Koustuv Sinha, Adina Williams
2026	J	`jnl`	Learning to Reason in 13 Parameters. CoRR John X. Morris, Niloofar Mireshghallah, Mark Ibrahim, Saeed Mahloujifar
2026	J	`jnl`	ReasonCACHE: Teaching LLMs To Reason Without Weight Updates. CoRR Sharut Gupta, Phillip Isola, Stefanie Jegelka, David Lopez-Paz, Kartik Ahuja, Mark Ibrahim, Mohammad Pezeshki
2025	J	`jnl`	A Single Character can Make or Break Your LLM Evals. CoRR Jingtong Su, Jianyu Zhang, Karen Ullrich, Léon Bottou, Mark Ibrahim
2025	J	`jnl`	AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions. CoRR Polina Kirichenko, Mark Ibrahim, Kamalika Chaudhuri, Samuel J. Bell
2025	J	`jnl`	Beg to Differ: Understanding Reasoning-Answer Misalignment Across Languages. CoRR Anaelia Ovalle, Candace Ross, Sebastian Ruder, Adina Williams, Karen Ullrich, Mark Ibrahim, Levent Sagun
2025	J	`jnl`	Joint Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self Supervised Learning. CoRR Hugues Van Assel, Mark Ibrahim, Tommaso Biancalani, Aviv Regev, Randall Balestriero
2025	J	`jnl`	LLM Knowledge is Brittle: Truthfulness Representations Rely on Superficial Resemblance. CoRR Patrick Haller, Mark Ibrahim, Polina Kirichenko, Levent Sagun, Samuel J. Bell
2025	J	`jnl`	Occam's Razor for SSL: Memory-Efficient Parametric Instance Discrimination. Trans. Mach. Learn. Res. Eric Gan, Patrik Reizinger, Alice Bizeul, Attila Juhos, Mark Ibrahim, Randall Balestriero, David A. Klindt, Wieland Brendel, Baharan Mirzasoleiman
2025	J	`jnl`	OpenApps: Simulating Environment Variations to Measure UI-Agent Reliability. CoRR Karen Ullrich, Jingtong Su, Claudia Shi, Arjun Subramonian, Amir Bar, Ivan Evtimov, Nikolaos Tsilivis, Randall Balestriero, Julia Kempe, Mark Ibrahim
2025	J	`jnl`	What's in Common? Multimodal Models Hallucinate When Reasoning Across Scenes. CoRR Candace Ross, Florian Bordes, Adina Williams, Polina Kirichenko, Mark Ibrahim
2025	A*	`conf`	X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs. ICLR Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun
2024	J	`jnl`	An Introduction to Vision-Language Modeling. CoRR Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra
2024	A*	`conf`	Discovering Environments with XRM. ICML Mohammad Pezeshki, Diane Bouchacourt, Mark Ibrahim, Nicolas Ballas, Pascal Vincent, David Lopez-Paz
2024	A*	`conf`	Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data? ICLR Megan Richards, Polina Kirichenko, Diane Bouchacourt, Mark Ibrahim
2024	—	`conf`	Embracing Diversity: Interpretable Zero-shot Classification Beyond One Vector Per Class. FAccT Mazda Moayeri, Michael Rabbat, Mark Ibrahim, Diane Bouchacourt
2024	J	`jnl`	Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class. CoRR Mazda Moayeri, Michael Rabbat, Mark Ibrahim, Diane Bouchacourt
2024	J	`jnl`	EvalGIM: A Library for Evaluating Generative Image Models. CoRR Melissa Hall, Oscar Mañas, Reyhane Askari Hemmat, Mark Ibrahim, Candace Ross, Pietro Astolfi, Tariq Berrada Ifriqi, Marton Havasi, Yohann Benchetrit, Karen Ullrich, Carolina Braga, Abhishek Charnalia, Maeve Ryan, Mike Rabbat, Michal Drozdzal, Jakob Verbeek, Adriana Romero-Soriano
2024	A*	`conf`	Modeling Caption Diversity in Contrastive Vision-Language Pretraining. ICML Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mido Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas
2024	J	`jnl`	Modeling Caption Diversity in Contrastive Vision-Language Pretraining. CoRR Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mahmoud Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas
2024	J	`jnl`	Occam's Razor for Self Supervised Learning: What is Sufficient to Learn Good Representations? CoRR Mark Ibrahim, David A. Klindt, Randall Balestriero
2024	J	`jnl`	Prognostic value of coronary artery calcium scoring in patients with non-small cell lung cancer using initial staging computed tomography. BMC Medical Imaging Aryan Zahergivar, Mahshid Golagha, Greg Stoddard, Parker Sage Anderson, Lacey Woods, Anna Newman, Malorie R. Carter, Libo Wang, Mark Ibrahim, Jordan Chamberlin, William F. Auffermann, Ismail Kabakus, Jeremy R. Burt
2024	J	`jnl`	The Bias of Harmful Label Associations in Vision-Language Models. CoRR Caner Hazirbas, Alicia Sun, Yonathan Efroni, Mark Ibrahim
2024	A*	`conf`	The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More. NeurIPS Ouail Kitouni, Niklas Nolte, Adina Williams, Michael Rabbat, Diane Bouchacourt, Mark Ibrahim
2024	J	`jnl`	The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More. CoRR Ouail Kitouni, Niklas Nolte, Diane Bouchacourt, Adina Williams, Mike Rabbat, Mark Ibrahim
2024	J	`jnl`	Transformers Can Navigate Mazes With Multi-Step Prediction. CoRR Niklas Nolte, Ouail Kitouni, Adina Williams, Mike Rabbat, Mark Ibrahim
2024	J	`jnl`	Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations. CoRR Christian Tomani, Kamalika Chaudhuri, Ivan Evtimov, Daniel Cremers, Mark Ibrahim
2024	J	`jnl`	Understanding the Detrimental Class-level Effects of Data Augmentation. CoRR Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson
2024	A*	`conf`	UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling. NeurIPS Haider Al-Tahan, Quentin Garrido, Randall Balestriero, Diane Bouchacourt, Caner Hazirbas, Mark Ibrahim
2024	J	`jnl`	UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling. CoRR Haider Al-Tahan, Quentin Garrido, Randall Balestriero, Diane Bouchacourt, Caner Hazirbas, Mark Ibrahim
2024	J	`jnl`	𝕏-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs. CoRR Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun
2023	J	`jnl`	A Cookbook of Self-Supervised Learning. CoRR Randall Balestriero, Mark Ibrahim, Vlad Sobal, Ari Morcos, Shashank Shekhar, Tom Goldstein, Florian Bordes, Adrien Bardes, Grégoire Mialon, Yuandong Tian, Avi Schwarzschild, Andrew Gordon Wilson, Jonas Geiping, Quentin Garrido, Pierre Fernandez, Amir Bar, Hamed Pirsiavash, Yann LeCun, Micah Goldblum
2023	A*	`conf`	A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others. CVPR Zhiheng Li, Ivan Evtimov, Albert Gordo, Caner Hazirbas, Tal Hassner, Cristian Canton-Ferrer, Chenliang Xu, Mark Ibrahim
2023	A*	`conf`	Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. NeurIPS Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Gordon Wilson, Tom Goldstein
2023	J	`jnl`	Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. CoRR Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Gordon Wilson, Tom Goldstein
2023	J	`jnl`	Discovering environments with XRM. CoRR Mohammad Pezeshki, Diane Bouchacourt, Mark Ibrahim, Nicolas Ballas, Pascal Vincent, David Lopez-Paz
2023	A*	`conf`	Disentanglement of Correlated Factors via Hausdorff Factorized Support. ICLR Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt
2023	J	`jnl`	Does Progress On Object Recognition Benchmarks Improve Real-World Generalization? CoRR Megan Richards, Polina Kirichenko, Diane Bouchacourt, Mark Ibrahim
2023	A*	`conf`	Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations. NeurIPS Laura Gustafson, Megan Richards, Melissa Hall, Caner Hazirbas, Diane Bouchacourt, Mark Ibrahim
2023	A*	`conf`	ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations. ICLR Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim
2023	A*	`conf`	PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning. NeurIPS Florian Bordes, Shashank Shekhar, Mark Ibrahim, Diane Bouchacourt, Pascal Vincent, Ari Morcos
2023	J	`jnl`	PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning. CoRR Florian Bordes, Shashank Shekhar, Mark Ibrahim, Diane Bouchacourt, Pascal Vincent, Ari S. Morcos
2023	J	`jnl`	Pinpointing Why Object Recognition Performance Degrades Across Income Levels and Geographies. CoRR Laura Gustafson, Megan Richards, Melissa Hall, Caner Hazirbas, Diane Bouchacourt, Mark Ibrahim
2023	J	`jnl`	Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations. CoRR Cian Eastwood, Julius von Kügelgen, Linus Ericsson, Diane Bouchacourt, Pascal Vincent, Bernhard Schölkopf, Mark Ibrahim
2023	J	`jnl`	The Robustness Limits of SoTA Vision Models to Natural Variation. Trans. Mach. Learn. Res. Mark Ibrahim, Quentin Garrido, Ari S. Morcos, Diane Bouchacourt
2023	A*	`conf`	Understanding the detrimental class-level effects of data augmentation. NeurIPS Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Shanmukha Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson
2023	A*	`conf`	VPA: Fully Test-Time Visual Prompt Adaptation. ACM Multimedia Jiachen Sun, Mark Ibrahim, Melissa Hall, Ivan Evtimov, Z. Morley Mao, Cristian Canton-Ferrer, Caner Hazirbas
2023	J	`jnl`	VPA: Fully Test-Time Visual Prompt Adaptation. CoRR Jiachen Sun, Mark Ibrahim, Melissa Hall, Ivan Evtimov, Z. Morley Mao, Cristian Canton-Ferrer, Caner Hazirbas
2023	J	`jnl`	WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models. CoRR Youssef Benchekroun, Megi Dervishi, Mark Ibrahim, Jean-Baptiste Gaya, Xavier Martinet, Grégoire Mialon, Thomas Scialom, Emmanuel Dupoux, Dieuwke Hupkes, Pascal Vincent
2022	J	`jnl`	A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others. CoRR Zhiheng Li, Ivan Evtimov, Albert Gordo, Caner Hazirbas, Tal Hassner, Cristian Canton-Ferrer, Chenliang Xu, Mark Ibrahim
2022	J	`jnl`	Disentanglement of Correlated Factors via Hausdorff Factorized Support. CoRR Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt
2022	J	`jnl`	ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations. CoRR Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim
2022	J	`jnl`	RidgeSketch: A Fast Sketching Based Solver for Large Scale Ridge Regression. SIAM J. Matrix Anal. Appl. Nidham Gazagnadou, Mark Ibrahim, Robert M. Gower
2022	J	`jnl`	Robust Self-Supervised Learning with Lie Groups. CoRR Mark Ibrahim, Diane Bouchacourt, Ari S. Morcos
2022	J	`jnl`	The Robustness Limits of SoTA Vision Models to Natural Variation. CoRR Mark Ibrahim, Quentin Garrido, Ari Morcos, Diane Bouchacourt
2021	J	`jnl`	Addressing the Topological Defects of Disentanglement via Distributed Operators. CoRR Diane Bouchacourt, Mark Ibrahim, Stéphane Deny
2021	A*	`conf`	CrypTen: Secure Multi-Party Computation Meets Machine Learning. NeurIPS Brian Knott, Shobha Venkataraman, Awni Y. Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten
2021	J	`jnl`	CrypTen: Secure Multi-Party Computation Meets Machine Learning. CoRR Brian Knott, Shobha Venkataraman, Awni Y. Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten
2021	A*	`conf`	Grounding inductive biases in natural images: invariance stems from variations in data. NeurIPS Diane Bouchacourt, Mark Ibrahim, Ari S. Morcos
2021	J	`jnl`	Grounding inductive biases in natural images: invariance stems from variations in data. CoRR Diane Bouchacourt, Mark Ibrahim, Ari S. Morcos
2020	—	`conf`	Mixed membership recurrent neural networks for modeling customer purchases. ICAIF Ghazal Fazelnia, Mark Ibrahim, Ceena Modarres, Kevin Wu, John W. Paisley
2019	C	`conf`	Global Explanations of Neural Networks: Mapping the Landscape of Predictions. AIES Mark Ibrahim, Melissa Louie, Ceena Modarres, John W. Paisley
2019	J	`jnl`	Global Explanations of Neural Networks: Mapping the Landscape of Predictions. CoRR Mark Ibrahim, Melissa Louie, Ceena Modarres, John W. Paisley
2018	J	`jnl`	Mixed Membership Recurrent Neural Networks. CoRR Ghazal Fazelnia, Mark Ibrahim, Ceena Modarres, Kevin Wu, John W. Paisley
2018	J	`jnl`	Towards Explainable Deep Learning for Credit Lending: A Case Study. CoRR Ceena Modarres, Mark Ibrahim, Melissa Louie, John W. Paisley
2017	J	`jnl`	Connecting every bit of knowledge: The structure of Wikipedia's First Link Network. J. Comput. Sci. Mark Ibrahim, Christopher M. Danforth, Peter Sheridan Dodds
2016	J	`jnl`	Connecting every bit of knowledge: The structure of Wikipedia's First Link Network. CoRR Mark Ibrahim, Christopher M. Danforth, Peter Sheridan Dodds