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Publication search results
found 141 matches
- 2024
- Jianyu Zhang, Léon Bottou:
Fine-tuning with Very Large Dropout. CoRR abs/2403.00946 (2024) - Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Léon Bottou:
Memory Mosaics. CoRR abs/2405.06394 (2024) - 2023
- Vivien Cabannes, Léon Bottou, Yann LeCun, Randall Balestriero:
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need. ICCV 2023: 16228-16237 - Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz:
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization. ICML 2023: 28656-28679 - Jianyu Zhang, Léon Bottou:
Learning useful representations for shifting tasks and distributions. ICML 2023: 40830-40850 - Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Hervé Jégou, Léon Bottou:
Birth of a Transformer: A Memory Viewpoint. NeurIPS 2023 - Vivien Cabannes, Léon Bottou, Yann LeCun, Randall Balestriero:
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need. CoRR abs/2303.15256 (2023) - Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Hervé Jégou, Léon Bottou:
Birth of a Transformer: A Memory Viewpoint. CoRR abs/2306.00802 (2023) - Léon Bottou, Bernhard Schölkopf:
Borges and AI. CoRR abs/2310.01425 (2023) - 2022
- Aaron Defazio, Léon Bottou:
A scaling calculus for the design and initialization of ReLU networks. Neural Comput. Appl. 34(17): 14807-14821 (2022) - Alexandre Défossez, Léon Bottou, Francis R. Bach, Nicolas Usunier:
A Simple Convergence Proof of Adam and Adagrad. Trans. Mach. Learn. Res. 2022 (2022) - Agnieszka Slowik, Léon Bottou, Sean B. Holden, Mateja Jamnik:
On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract). AAAI 2022: 13053-13054 - Agnieszka Slowik, Léon Bottou:
On Distributionally Robust Optimization and Data Rebalancing. AISTATS 2022: 1283-1297 - Jianyu Zhang, David Lopez-Paz, Léon Bottou:
Rich Feature Construction for the Optimization-Generalization Dilemma. ICML 2022: 26397-26411 - Randall Balestriero, Léon Bottou, Yann LeCun:
The Effects of Regularization and Data Augmentation are Class Dependent. NeurIPS 2022 - Jianyu Zhang, David Lopez-Paz, Léon Bottou:
Rich Feature Construction for the Optimization-Generalization Dilemma. CoRR abs/2203.15516 (2022) - Randall Balestriero, Léon Bottou, Yann LeCun:
The Effects of Regularization and Data Augmentation are Class Dependent. CoRR abs/2204.03632 (2022) - Jianyu Zhang, Léon Bottou:
Learning useful representations for shifting tasks and distributions. CoRR abs/2212.07346 (2022) - Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz:
Recycling diverse models for out-of-distribution generalization. CoRR abs/2212.10445 (2022) - 2021
- Benjamin Aubin, Agnieszka Slowik, Martín Arjovsky, Léon Bottou, David Lopez-Paz:
Linear unit-tests for invariance discovery. CoRR abs/2102.10867 (2021) - Agnieszka Slowik, Léon Bottou:
Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation. CoRR abs/2106.09467 (2021) - Alexander Peysakhovich, Léon Bottou:
An Attract-Repel Decomposition of Undirected Networks. CoRR abs/2106.09671 (2021) - 2020
- Léon Bottou:
Learning Representations Using Causal Invariance. EGC 2020: 5-6 - Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou:
Symplectic Recurrent Neural Networks. ICLR 2020 - Alexandre Défossez, Léon Bottou, Francis R. Bach, Nicolas Usunier:
On the Convergence of Adam and Adagrad. CoRR abs/2003.02395 (2020) - 2019
- Carl-Johann Simon-Gabriel, Yann Ollivier, Léon Bottou, Bernhard Schölkopf, David Lopez-Paz:
First-Order Adversarial Vulnerability of Neural Networks and Input Dimension. ICML 2019: 5809-5817 - Rachel A. Ward, Xiaoxia Wu, Léon Bottou:
AdaGrad stepsizes: sharp convergence over nonconvex landscapes. ICML 2019: 6677-6686 - Aaron Defazio, Léon Bottou:
On the Ineffectiveness of Variance Reduced Optimization for Deep Learning. NeurIPS 2019: 1753-1763 - Chhavi Yadav, Léon Bottou:
Cold Case: The Lost MNIST Digits. NeurIPS 2019: 13443-13452 - Chhavi Yadav, Léon Bottou:
Cold Case: The Lost MNIST Digits. CoRR abs/1905.10498 (2019)
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