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Beyond Tikhonov: Faster Learning with Self-Concordant Losses via Iterative Regularization


Jun 16, 2021
Gaspard Beugnot, Julien Mairal, Alessandro Rudi


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Residual Reinforcement Learning from Demonstrations


Jun 15, 2021
Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid


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GraphiT: Encoding Graph Structure in Transformers


Jun 10, 2021
Grégoire Mialon, Dexiong Chen, Margot Selosse, Julien Mairal


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NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results


Jun 07, 2021
Goutam Bhat, Martin Danelljan, Radu Timofte, Kazutoshi Akita, Wooyeong Cho, Haoqiang Fan, Lanpeng Jia, Daeshik Kim, Bruno Lecouat, Youwei Li, Shuaicheng Liu, Ziluan Liu, Ziwei Luo, Takahiro Maeda, Julien Mairal, Christian Micheloni, Xuan Mo, Takeru Oba, Pavel Ostyakov, Jean Ponce, Sanghyeok Son, Jian Sun, Norimichi Ukita, Rao Muhammad Umer, Youliang Yan, Lei Yu, Magauiya Zhussip, Xueyi Zou

* NTIRE 2021 Burst Super-Resolution challenge report 

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Emerging Properties in Self-Supervised Vision Transformers


May 24, 2021
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin

* 21 pages 

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Aliasing is your Ally: End-to-End Super-Resolution from Raw Image Bursts


Apr 13, 2021
Bruno Lecouat, Jean Ponce, Julien Mairal


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Unsupervised Learning of Visual Features by Contrasting Cluster Assignments


Jul 17, 2020
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin


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Designing and Learning Trainable Priors with Non-Cooperative Games


Jun 26, 2020
Bruno Lecouat, Jean Ponce, Julien Mairal


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An Optimal Transport Kernel for Feature Aggregation and its Relationship to Attention


Jun 23, 2020
Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal


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Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions


Apr 22, 2020
Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Julien Mairal

* ICLR 2020 Causal Learning for Decision Making Workshop 

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Selecting Relevant Features from a Universal Representation for Few-shot Classification


Mar 20, 2020
Nikita Dvornik, Cordelia Schmid, Julien Mairal


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Convolutional Kernel Networks for Graph-Structured Data


Mar 11, 2020
Dexiong Chen, Laurent Jacob, Julien Mairal


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Revisiting Non Local Sparse Models for Image Restoration


Jan 28, 2020
Bruno Lecouat, Jean Ponce, Julien Mairal


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Pruning Convolutional Neural Networks with Self-Supervision


Jan 10, 2020
Mathilde Caron, Ari Morcos, Piotr Bojanowski, Julien Mairal, Armand Joulin


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Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more


Dec 20, 2019
Julien Mairal

* http://julien.mairal.org/cyanure/welcome.html 

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Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Function


Dec 05, 2019
Grégoire Mialon, Alexandre d'Aspremont, Julien Mairal


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Recurrent Kernel Networks


Jun 07, 2019
Dexiong Chen, Laurent Jacob, Julien Mairal


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A Generic Acceleration Framework for Stochastic Composite Optimization


Jun 03, 2019
Andrei Kulunchakov, Julien Mairal


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On the Inductive Bias of Neural Tangent Kernels


May 29, 2019
Alberto Bietti, Julien Mairal


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Estimate Sequences for Variance-Reduced Stochastic Composite Optimization


May 07, 2019
Andrei Kulunchakov, Julien Mairal

* International Conference on Machine Learning (ICML), Jun 2019, Long Beach, United States 
* short version of preprint arXiv:1901.08788 

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Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features


May 03, 2019
Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin


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Diversity with Cooperation: Ensemble Methods for Few-Shot Classification


Mar 27, 2019
Nikita Dvornik, Cordelia Schmid, Julien Mairal


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Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise


Jan 25, 2019
Andrei Kulunchakov, Julien Mairal


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Extracting Universal Representations of Cognition across Brain-Imaging Studies


Oct 19, 2018
Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux


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Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations


Oct 10, 2018
Alberto Bietti, Julien Mairal


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