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2020 – today
- 2024
[c20]Mazda Moayeri
, Michael Rabbat, Mark Ibrahim, Diane Bouchacourt:
Embracing Diversity: Interpretable Zero-shot Classification Beyond One Vector Per Class. FAccT 2024: 2302-2321- [c19]Megan Richards, Polina Kirichenko, Diane Bouchacourt, Mark Ibrahim:
Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data? ICLR 2024 - [c18]Mohammad Pezeshki, Diane Bouchacourt, Mark Ibrahim, Nicolas Ballas, Pascal Vincent, David Lopez-Paz:
Discovering Environments with XRM. ICML 2024 - [i32]Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson:
Understanding the Detrimental Class-level Effects of Data Augmentation. CoRR abs/2401.01764 (2024) - [i31]Mazda Moayeri, Michael Rabbat, Mark Ibrahim, Diane Bouchacourt:
Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class. CoRR abs/2404.16717 (2024) - [i30]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:
An Introduction to Vision-Language Modeling. CoRR abs/2405.17247 (2024) - [i29]Ouail Kitouni, Niklas Nolte, Diane Bouchacourt, Adina Williams, Mike Rabbat, Mark Ibrahim:
The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More. CoRR abs/2406.05183 (2024) - [i28]Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun:
𝕏-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs. CoRR abs/2407.18134 (2024) - [i27]Haider Al-Tahan, Quentin Garrido, Randall Balestriero, Diane Bouchacourt, Caner Hazirbas, Mark Ibrahim:
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling. CoRR abs/2408.04810 (2024) - [i26]Samuel J. Bell, Diane Bouchacourt, Levent Sagun:
Reassessing the Validity of Spurious Correlations Benchmarks. CoRR abs/2409.04188 (2024) - 2023
- [j1]Mark Ibrahim, Quentin Garrido, Ari S. Morcos, Diane Bouchacourt:
The Robustness Limits of SoTA Vision Models to Natural Variation. Trans. Mach. Learn. Res. 2023 (2023) - [c17]Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim:
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations. ICLR 2023 - [c16]Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt:
Disentanglement of Correlated Factors via Hausdorff Factorized Support. ICLR 2023 - [c15]Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Hervé Jégou, Léon Bottou:
Birth of a Transformer: A Memory Viewpoint. NeurIPS 2023 - [c14]Florian Bordes, Shashank Shekhar, Mark Ibrahim, Diane Bouchacourt, Pascal Vincent, Ari Morcos:
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning. NeurIPS 2023 - [c13]Laura Gustafson, Megan Richards, Melissa Hall, Caner Hazirbas, Diane Bouchacourt, Mark Ibrahim:
Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations. NeurIPS 2023 - [c12]Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Shanmukha Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson:
Understanding the detrimental class-level effects of data augmentation. NeurIPS 2023 - [i25]Laura Gustafson, Megan Richards, Melissa Hall, Caner Hazirbas, Diane Bouchacourt, Mark Ibrahim:
Pinpointing Why Object Recognition Performance Degrades Across Income Levels and Geographies. CoRR abs/2304.05391 (2023) - [i24]Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Hervé Jégou, Léon Bottou:
Birth of a Transformer: A Memory Viewpoint. CoRR abs/2306.00802 (2023) - [i23]Megan Richards, Polina Kirichenko, Diane Bouchacourt, Mark Ibrahim:
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization? CoRR abs/2307.13136 (2023) - [i22]Florian Bordes, Shashank Shekhar, Mark Ibrahim, Diane Bouchacourt, Pascal Vincent, Ari S. Morcos:
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning. CoRR abs/2308.03977 (2023) - [i21]Mohammad Pezeshki, Diane Bouchacourt, Mark Ibrahim, Nicolas Ballas, Pascal Vincent, David Lopez-Paz:
Discovering environments with XRM. CoRR abs/2309.16748 (2023) - [i20]Cian Eastwood, Julius von Kügelgen, Linus Ericsson, Diane Bouchacourt, Pascal Vincent, Bernhard Schölkopf, Mark Ibrahim:
Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations. CoRR abs/2311.08815 (2023) - 2022
- [i19]David Lopez-Paz, Diane Bouchacourt, Levent Sagun, Nicolas Usunier:
Measuring and signing fairness as performance under multiple stakeholder distributions. CoRR abs/2207.09960 (2022) - [i18]Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt:
Disentanglement of Correlated Factors via Hausdorff Factorized Support. CoRR abs/2210.07347 (2022) - [i17]Mark Ibrahim, Diane Bouchacourt, Ari S. Morcos:
Robust Self-Supervised Learning with Lie Groups. CoRR abs/2210.13356 (2022) - [i16]Mark Ibrahim, Quentin Garrido, Ari Morcos, Diane Bouchacourt:
The Robustness Limits of SoTA Vision Models to Natural Variation. CoRR abs/2210.13604 (2022) - [i15]Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim:
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations. CoRR abs/2211.01866 (2022) - 2021
- [c11]Diane Bouchacourt, Mark Ibrahim, Ari S. Morcos:
Grounding inductive biases in natural images: invariance stems from variations in data. NeurIPS 2021: 19566-19579 - [i14]Diane Bouchacourt, Mark Ibrahim, Stéphane Deny:
Addressing the Topological Defects of Disentanglement via Distributed Operators. CoRR abs/2102.05623 (2021) - [i13]Diane Bouchacourt, Mark Ibrahim, Ari S. Morcos:
Grounding inductive biases in natural images: invariance stems from variations in data. CoRR abs/2106.05121 (2021) - 2020
- [c10]Rahma Chaabouni, Eugene Kharitonov, Diane Bouchacourt, Emmanuel Dupoux, Marco Baroni:
Compositionality and Generalization In Emergent Languages. ACL 2020: 4427-4442 - [c9]Jonathan Gordon, David Lopez-Paz, Marco Baroni, Diane Bouchacourt:
Permutation Equivariant Models for Compositional Generalization in Language. ICLR 2020 - [c8]Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni:
Entropy Minimization In Emergent Languages. ICML 2020: 5220-5230 - [c7]Laura Ruis, Jacob Andreas, Marco Baroni, Diane Bouchacourt, Brenden M. Lake:
A Benchmark for Systematic Generalization in Grounded Language Understanding. NeurIPS 2020 - [i12]Laura Ruis, Jacob Andreas, Marco Baroni, Diane Bouchacourt, Brenden M. Lake:
A Benchmark for Systematic Generalization in Grounded Language Understanding. CoRR abs/2003.05161 (2020) - [i11]Rahma Chaabouni, Eugene Kharitonov, Diane Bouchacourt, Emmanuel Dupoux, Marco Baroni:
Compositionality and Generalization in Emergent Languages. CoRR abs/2004.09124 (2020) - [i10]Christina Heinze-Deml, Diane Bouchacourt:
Think before you act: A simple baseline for compositional generalization. CoRR abs/2009.13962 (2020)
2010 – 2019
- 2019
- [c6]Diane Bouchacourt, Marco Baroni:
Miss Tools and Mr Fruit: Emergent Communication in Agents Learning about Object Affordances. ACL (1) 2019: 3909-3918 - [c5]Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni:
EGG: a toolkit for research on Emergence of lanGuage in Games. EMNLP/IJCNLP (3) 2019: 55-60 - [i9]Diane Bouchacourt, Ludovic Denoyer:
EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction. CoRR abs/1905.11852 (2019) - [i8]Diane Bouchacourt, Marco Baroni:
Miss Tools and Mr Fruit: Emergent communication in agents learning about object affordances. CoRR abs/1905.11871 (2019) - [i7]Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni:
Information Minimization In Emergent Languages. CoRR abs/1905.13687 (2019) - [i6]Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni:
EGG: a toolkit for research on Emergence of lanGuage in Games. CoRR abs/1907.00852 (2019) - [i5]Mathijs Mul, Diane Bouchacourt, Elia Bruni:
Mastering emergent language: learning to guide in simulated navigation. CoRR abs/1908.05135 (2019) - [i4]Roberto Dessì, Diane Bouchacourt, Davide Crepaldi, Marco Baroni:
Focus on What's Informative and Ignore What's not: Communication Strategies in a Referential Game. CoRR abs/1911.01892 (2019) - 2018
- [c4]Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin:
Multi-Level Variational Autoencoder: Learning Disentangled Representations From Grouped Observations. AAAI 2018: 2095-2102 - [c3]Diane Bouchacourt, Marco Baroni:
How agents see things: On visual representations in an emergent language game. EMNLP 2018: 981-985 - [i3]Diane Bouchacourt, Marco Baroni:
How agents see things: On visual representations in an emergent language game. CoRR abs/1808.10696 (2018) - 2017
- [b1]Diane Bouchacourt:
Task-oriented learning of structured probability distributions. University of Oxford, UK, 2017 - [i2]Diane Bouchacourt, Ryota Tomioka, Sebastian Nowozin:
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations. CoRR abs/1705.08841 (2017) - 2016
- [c2]Diane Bouchacourt, Pawan Kumar Mudigonda, Sebastian Nowozin:
DISCO Nets : DISsimilarity COefficients Networks. NIPS 2016: 352-360 - [i1]Diane Bouchacourt, M. Pawan Kumar, Sebastian Nowozin:
DISCO Nets: DISsimilarity COefficient Networks. CoRR abs/1606.02556 (2016) - 2015
- [c1]Diane Bouchacourt, Sebastian Nowozin, M. Pawan Kumar:
Entropy-Based Latent Structured Output Prediction. ICCV 2015: 2920-2928
Coauthor Index
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last updated on 2024-10-10 22:14 CEST by the dblp team
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