Diane Bouchacourt

57 papers A* 19Journal 33Unranked 4

Year	Rank	Type	Title / Venue / Authors
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`	Reassessing the Validity of Spurious Correlations Benchmarks. CoRR Samuel J. Bell, Diane Bouchacourt, Levent Sagun
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`	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	A*	`conf`	Birth of a Transformer: A Memory Viewpoint. NeurIPS Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Hervé Jégou, Léon Bottou
2023	J	`jnl`	Birth of a Transformer: A Memory Viewpoint. CoRR Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Hervé Jégou, Léon Bottou
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
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`	Measuring and signing fairness as performance under multiple stakeholder distributions. CoRR David Lopez-Paz, Diane Bouchacourt, Levent Sagun, Nicolas Usunier
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`	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	A*	`conf`	A Benchmark for Systematic Generalization in Grounded Language Understanding. NeurIPS Laura Ruis, Jacob Andreas, Marco Baroni, Diane Bouchacourt, Brenden M. Lake
2020	J	`jnl`	A Benchmark for Systematic Generalization in Grounded Language Understanding. CoRR Laura Ruis, Jacob Andreas, Marco Baroni, Diane Bouchacourt, Brenden M. Lake
2020	A*	`conf`	Compositionality and Generalization In Emergent Languages. ACL Rahma Chaabouni, Eugene Kharitonov, Diane Bouchacourt, Emmanuel Dupoux, Marco Baroni
2020	J	`jnl`	Compositionality and Generalization in Emergent Languages. CoRR Rahma Chaabouni, Eugene Kharitonov, Diane Bouchacourt, Emmanuel Dupoux, Marco Baroni
2020	A*	`conf`	Entropy Minimization In Emergent Languages. ICML Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni
2020	A*	`conf`	Permutation Equivariant Models for Compositional Generalization in Language. ICLR Jonathan Gordon, David Lopez-Paz, Marco Baroni, Diane Bouchacourt
2020	J	`jnl`	Think before you act: A simple baseline for compositional generalization. CoRR Christina Heinze-Deml, Diane Bouchacourt
2019	J	`jnl`	EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction. CoRR Diane Bouchacourt, Ludovic Denoyer
2019	—	`conf`	EGG: a toolkit for research on Emergence of lanGuage in Games. EMNLP/IJCNLP (3) Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni
2019	J	`jnl`	EGG: a toolkit for research on Emergence of lanGuage in Games. CoRR Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni
2019	J	`jnl`	Focus on What's Informative and Ignore What's not: Communication Strategies in a Referential Game. CoRR Roberto Dessì, Diane Bouchacourt, Davide Crepaldi, Marco Baroni
2019	J	`jnl`	Information Minimization In Emergent Languages. CoRR Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni
2019	J	`jnl`	Mastering emergent language: learning to guide in simulated navigation. CoRR Mathijs Mul, Diane Bouchacourt, Elia Bruni
2019	—	`conf`	Miss Tools and Mr Fruit: Emergent Communication in Agents Learning about Object Affordances. ACL (1) Diane Bouchacourt, Marco Baroni
2019	J	`jnl`	Miss Tools and Mr Fruit: Emergent communication in agents learning about object affordances. CoRR Diane Bouchacourt, Marco Baroni
2018	A*	`conf`	How agents see things: On visual representations in an emergent language game. EMNLP Diane Bouchacourt, Marco Baroni
2018	J	`jnl`	How agents see things: On visual representations in an emergent language game. CoRR Diane Bouchacourt, Marco Baroni
2018	A*	`conf`	Multi-Level Variational Autoencoder: Learning Disentangled Representations From Grouped Observations. AAAI Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin
2017	J	`jnl`	Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations. CoRR Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin
2017	—	`—`	Task-oriented learning of structured probability distributions. Diane Bouchacourt
2016	—	`conf`	DISCO Nets : DISsimilarity COefficients Networks. NIPS Diane Bouchacourt, Pawan Kumar Mudigonda, Sebastian Nowozin
2016	J	`jnl`	DISCO Nets: DISsimilarity COefficient Networks. CoRR Diane Bouchacourt, M. Pawan Kumar, Sebastian Nowozin
2015	A*	`conf`	Entropy-Based Latent Structured Output Prediction. ICCV Diane Bouchacourt, Sebastian Nowozin, M. Pawan Kumar