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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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Unsupervised Learning of Artistic Styles with Archetypal Style Analysis

Oct 02, 2018
Daan Wynen, Cordelia Schmid, Julien Mairal

* Accepted at NIPS 2018, Montr\'eal, Canada 

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On Regularization and Robustness of Deep Neural Networks

Sep 30, 2018
Alberto Bietti, Grégoire Mialon, Julien Mairal


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On the Importance of Visual Context for Data Augmentation in Scene Understanding

Sep 06, 2018
Nikita Dvornik, Julien Mairal, Cordelia Schmid

* arXiv admin note: substantial text overlap with arXiv:1807.07428 

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An Inexact Variable Metric Proximal Point Algorithm for Generic Quasi-Newton Acceleration

Jul 20, 2018
Hongzhou Lin, Julien Mairal, Zaid Harchaoui


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Modeling Visual Context is Key to Augmenting Object Detection Datasets

Jul 19, 2018
Nikita Dvornik, Julien Mairal, Cordelia Schmid

* ECCV2018, Sep 2018, Munich, Germany. 2018 

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Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice

Jun 19, 2018
Hongzhou Lin, Julien Mairal, Zaid Harchaoui

* Journal of Machine Learning Research (JMLR), 18(212):1--54, 2018 
* link to publisher website: http://jmlr.org/papers/volume18/17-748/17-748.pdf 

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Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure

Nov 15, 2017
Alberto Bietti, Julien Mairal

* Advances in Neural Information Processing Systems (NIPS), Dec 2017, Long Beach, CA, United States 

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