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papers [2019/12/08 09:23]
leonb [2019] 		papers [2023/08/29 06:19] (current)
leonb [2023]
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 [[http://djvu.org/links|Download a DjVu viewer]]. [[http://djvu.org/links|Download a DjVu viewer]].
  
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 +
 +===== 2023 =====
 +
 +<box 99% green>
 +Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Herve Jegou and Leon Bottou:  **Birth of a Transformer: A Memory Viewpoint**,  //arXiv preprint arXiv:2306.00802//, 2023.
 +
 +[[https://arxiv.org/pdf/2306.00802.pdf|arxiv...]]
 +</box>
 +
 +<box 99% green>
 +Vivien Cabannes, Leon Bottou, Yann Lecun and Randall Balestriero:  **Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need**,  //arXiv preprint arXiv:2303.15256//, 2023.
 +
 +[[https://arxiv.org/pdf/2303.15256.pdf|arxiv...]]
 +</box>
 +
 +<box 99% orange>
 +Jianyu Zhang and Léon Bottou:  **Learning useful representations for shifting tasks and distributions**,  //International Conference on Machine Learning//, 40830--40850, PMLR, 2023.
 +
 +[[papers/zhang-2023|more...]]
 +</box>
 +
 +<box 99% orange>
 +Alexandre Rame, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Leon Bottou and David Lopez-Paz:  **Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization**,  //Proceedings of the 40th International Conference on Machine Learning//, 202:28656--28679, Edited by Andreas Krause, Emma Brunskill, Kyunghyun Cho, Barbara Engelhardt, Sivan Sabato and Jonathan Scarlett, Proceedings of Machine Learning Research, PMLR, 23--29 Jul 2023.
 +
 +[[papers/rame-2023|more...]]
 +</box>
 +
 +
 +===== 2022 =====
 +
 +<box 99% orange>
 +Randall Balestriero, Leon Bottou and Yann LeCun:  **The Effects of Regularization and Data Augmentation are Class Dependent**,  //Advances in Neural Information Processing Systems//, 35:37878--37891, Edited by S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho and A. Oh, Curran Associates, Inc., 2022.
 +
 +[[papers/balestriero-2022|more...]]
 +</box>
 +
 +<box 99% orange>
 +Jianyu Zhang, David Lopez-Paz and Léon Bottou:  **Rich feature construction for the optimization-generalization dilemma**,  //International Conference on Machine Learning//, 26397--26411, PMLR, 2022.
 +
 +[[papers/zhang-2022|more...]]
 +</box>
 +
 +<box 99% orange>
 +Agnieszka Słowik and Léon Bottou:  **On Distributionally Robust Optimization and Data Rebalancing**,  //Proc. AIStats 2022//, Feb 2022.
 +
 +[[papers/slowik-bottou-2022|more...]]
 +</box>
 +
 +<box 99% orange>
 +Alexandre Défossez, Leon Bottou, Francis Bach and Nicolas Usunier:  **A Simple Convergence Proof of Adam and Adagrad**,  //Transactions on Machine Learning Research//, 2022.
 +
 +[[papers/defossez-2022|more...]]
 +</box>
 +
 +<box 99% green>
 +Alexander Peysakhovich and Leon Bottou:  **Pseudo-Euclidean Attract-Repel Embeddings for Undirected Graphs**,  //arXiv preprint arXiv:2106.09671//, 2021.
 +
 +[[papers/peysakhovich-2022|more...]]
 +</box>
 +
 +===== 2021 =====
 +
 +<box 99% green>
 +Benjamin Aubin, Agnieszka Słowik, Martin Arjovsky, Léon Bottou and David Lopez-Paz:  **Linear unit-tests for invariance discovery**,  //arXiv preprint arXiv:2102.10867//, 2021.
 +
 +[[papers/aubin-2021|more...]]
 +</box>
 +
 +===== 2020 =====
 +
 +
 +<box 99% orange>
 +Anna Klimovskaia, David Lopez-Paz, Léon Bottou and Maximilian Nickel:  **Poincaré maps for analyzing complex hierarchies in single-cell data**,  //Nature Communications//, 11(1):2966, 2020.
 +
 +[[papers/klimovskaia-2020|more...]]
 +</box>
 +
 +<box 99% orange>
 +Emmanuelle Claeys, Myriam Maumy-Bertrand and Léon Bottou:  **Causalité et apprentissage automatique**,  //Statistique et Causalité//, Journées d’'Etude en Statistique 2018, Technip, 2020.
 +
 +[[papers/claeys-2020|more...]]
 +</box>
  
 ===== 2019 ===== ===== 2019 =====
 +
  
 <box 99% green> <box 99% green>
 Martin Arjovsky, Léon Bottou, Ishaan Gulrajani and David Lopez-Paz:  //**Invariant Risk Minimization**//, arXiv:1907.02893, 2019. Martin Arjovsky, Léon Bottou, Ishaan Gulrajani and David Lopez-Paz:  //**Invariant Risk Minimization**//, arXiv:1907.02893, 2019.
  
-<html><!--[[papers/arjovsky-bottou-gulrajani-lopezpaz-2019|more...]]--></html> +[[papers/arjovsky-bottou-gulrajani-lopezpaz-2019|more...]]
-[[https://arxiv.org/abs/1907.02893]]+
 </box> </box>
  
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 </box> </box>
  
-<box 99% green> 
-Anna Klimovskaia, David Lopez-Paz, Léon Bottou and Maximilian Nickel:  **Poincare Maps for Analyzing Complex Hierarchies in Single-Cell Data**,  bioRxiv-689547, 2019. 
- 
-<html><!--[[papers/klimovskaia-2019|more...]]--></html> 
-[[https://www.biorxiv.org/content/10.1101/689547v1]] 
-</box> 
  
 ===== 2018 ===== ===== 2018 =====
papers.1575815002.txt.gz · Last modified: 2019/12/08 09:23 by leonb

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