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

17 December 2019

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

20 / 20 papers shown

Title
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations Benedikt Alkin Lukas Miklautz Sepp Hochreiter Johannes Brandstetter VLM 78 8 0 24 Feb 2025
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features T. Silva Hélio Pedrini Adín Ramírez Rivera SSL 38 2 0 03 Jul 2024
Differentially Private Representation Learning via Image Captioning Tom Sander Yaodong Yu Maziar Sanjabi Alain Durmus Yi Ma Kamalika Chaudhuri Chuan Guo 76 3 0 04 Mar 2024
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments Spyros Gidaris Andrei Bursuc Oriane Siméoni Antonín Vobecký N. Komodakis Matthieu Cord Patrick Pérez SSL ViT 29 3 0 18 Jul 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts Aaditya K. Singh Kartik Sarangmath Prithvijit Chattopadhyay Judy Hoffman OOD 59 1 0 21 Apr 2023
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget Johannes Lehner Benedikt Alkin Andreas Fürst Elisabeth Rumetshofer Lukas Miklautz Sepp Hochreiter 36 18 0 20 Apr 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels Zebin You Yong Zhong Fan Bao Jiacheng Sun Chongxuan Li Jun Zhu DiffM VLM 209 37 0 21 Feb 2023
Light-weight probing of unsupervised representations for Reinforcement Learning Wancong Zhang Anthony GX-Chen Vlad Sobal Yann LeCun Nicolas Carion SSL OffRL 46 13 0 25 Aug 2022
Benchopt: Reproducible, efficient and collaborative optimization benchmarks Thomas Moreau Mathurin Massias Alexandre Gramfort Pierre Ablin Pierre-Antoine Bannier Benjamin Charlier ... Binh Duc Nguyen A. Rakotomamonjy Zaccharie Ramzi Joseph Salmon Samuel Vaiter 69 31 0 27 Jun 2022
Siamese Image Modeling for Self-Supervised Vision Representation Learning Chenxin Tao Xizhou Zhu Weijie Su Gao Huang Bin Li Jie Zhou Yu Qiao Xiaogang Wang Jifeng Dai SSL 43 94 0 02 Jun 2022
Masked Siamese Networks for Label-Efficient Learning Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Florian Bordes Pascal Vincent Armand Joulin Michael G. Rabbat Nicolas Ballas SSL 36 311 0 14 Apr 2022
Complexity of Inexact Proximal Point Algorithm for minimizing convex functions with Holderian Growth A. Pătraşcu Paul Irofti 34 0 0 10 Aug 2021
Beyond Tikhonov: Faster Learning with Self-Concordant Losses via Iterative Regularization Gaspard Beugnot Julien Mairal Alessandro Rudi 17 1 0 16 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 389 5,832 0 29 Apr 2021
A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention Grégoire Mialon Dexiong Chen Alexandre d’Aspremont Julien Mairal OT 22 0 0 22 Jun 2020
Convolutional Kernel Networks for Graph-Structured Data Dexiong Chen Laurent Jacob Julien Mairal GNN 29 53 0 11 Mar 2020
Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions Grégoire Mialon Alexandre d’Aspremont Julien Mairal 16 0 0 05 Dec 2019
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise A. Kulunchakov Julien Mairal 36 44 0 25 Jan 2019
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 93 737 0 19 Mar 2014
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning Julien Mairal 81 317 0 18 Feb 2014