Compressive Visual Representations

Compressive Visual Representations

27 September 2021

Papers citing "Compressive Visual Representations"

17 / 17 papers shown

Title
Steinmetz Neural Networks for Complex-Valued Data Shyam Venkatasubramanian Ali Pezeshki Vahid Tarokh 166 0 0 17 Feb 2025
ACE: Anatomically Consistent Embeddings in Composition and Decomposition Ziyu Zhou Haozhe Luo M. Taher Jiaxuan Pang Xiaowei Ding Michael B. Gotway Jianming Liang MedIm 47 0 0 20 Jan 2025
An Information Criterion for Controlled Disentanglement of Multimodal Data Chenyu Wang Sharut Gupta Xinyi Zhang Sana Tonekaboni Stefanie Jegelka Tommi Jaakkola Caroline Uhler DRL 37 1 0 31 Oct 2024
A Review on Discriminative Self-supervised Learning Methods in Computer Vision Nikolaos Giakoumoglou Tania Stathaki Athanasios Gkelias SSL 64 1 0 08 May 2024
Learning Anatomically Consistent Embedding for Chest Radiography Ziyu Zhou Haozhe Luo Jiaxuan Pang Xiaowei Ding Michael B. Gotway Jianming Liang SSL 9 5 0 01 Dec 2023
Understanding the limitations of self-supervised learning for tabular anomaly detection Kimberly T. Mai Toby O. Davies Lewis D. Griffin SSL 29 0 0 15 Sep 2023
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features Adrien Bardes Jean Ponce Yann LeCun MDE 33 23 0 24 Jul 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images K. Yu Li Sun Junxiang Chen Maxwell Reynolds Tigmanshu Chaudhary Kayhan Batmanghelich 19 1 0 21 Feb 2023
Self-supervised learning of Split Invariant Equivariant representations Q. Garrido Laurent Najman Yann LeCun SSL 26 32 0 14 Feb 2023
Weighted Ensemble Self-Supervised Learning Yangjun Ruan Saurabh Singh Warren Morningstar Alexander A. Alemi Sergey Ioffe Ian S. Fischer Joshua V. Dillon FedML 24 15 0 18 Nov 2022
Self-Supervised Learning via Maximum Entropy Coding Xin Liu Zhongdao Wang Yali Li Shengjin Wang SSL 18 40 0 20 Oct 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale Kuang-Huei Lee Ted Xiao A. Li Paul Wohlhart Ian S. Fischer Yao Lu 45 10 0 15 Oct 2022
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank Q. Garrido Randall Balestriero Laurent Najman Yann LeCun SSL 48 72 0 05 Oct 2022
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence Kyungmin Lee Jinwoo Shin SSL DRL 29 10 0 12 Aug 2022
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection Mohamed Yousef Marcel R. Ackermann Unmesh Kurup Tom E. Bishop OODD OOD 28 3 0 19 Mar 2022
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? Nenad Tomašev Ioana Bica Brian McWilliams Lars Buesing Razvan Pascanu Charles Blundell Jovana Mitrović SSL 76 80 0 13 Jan 2022
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020