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--- papers [2022/04/18 17:48]
leonb [2020]
+++ papers [2023/08/29 06:19] (current)
leonb [2023]
@@ Line 11: / Line 11: @@
-===== 2022 =====
+===== 2023 =====
 <box 99% green>
-Randall Balestriero, Léon Bottou and Yann LeCun:  **The Effects of Regularization and Data Augmentation are Class Dependent**,  //arXiv preprint arXiv:2204.03632//, 2022.
+Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Herve Jegou and Leon Bottou:  **Birth of a Transformer: A Memory Viewpoint**,  //arXiv preprint arXiv:2306.00802//, 2023.
-<html><!--[[papers/balestriero-2022|more...]]--></html>
+[[https://arxiv.org/pdf/2306.00802.pdf|arxiv...]]
-[[https://arxiv.org/abs/2204.03632]]
 </box>
 <box 99% green>
-Jianyu Zhang, David Lopez-Paz and Léon Bottou:  **Rich Feature Construction for the Optimization-Generalization Dilemma**,  //arXiv preprint arXiv:2203.15516//, 2022.
+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.
-<html><!--[[papers/zhang-2022|more...]]--></html>
+[[https://arxiv.org/pdf/2303.15256.pdf|arxiv...]]
-[[https://arxiv.org/abs/2203.15516]]
+</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>
@@ Line 34: / Line 58: @@
 </box>
-===== 2021 =====
+<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>
@@ Line 51: / Line 86: @@
 [[papers/klimovskaia-2020|more...]]
 </box>
 <box 99% orange>
@@ Line 60: / Line 94: @@
 ===== 2019 =====
-<box 99% green>
-Alexandre Défossez, Nicolas Usunier, Léon Bottou and Francis Bach:  **Music source separation in the waveform domain**,  //arXiv preprint arXiv:1911.13254//, 2019.
-[[papers/defossez-2019|more...]]
-</box>
@@ Line 92: / Line 120: @@
 </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 =====

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