A Broad Study on the Transferability of Visual Representations with Contrastive Learning

24 March 2021

Papers citing "A Broad Study on the Transferability of Visual Representations with Contrastive Learning"

50 / 66 papers shown

Title
SEVERE++: Evaluating Benchmark Sensitivity in Generalization of Video Representation Learning Fida Mohammad Thoker Letian Jiang Chen Zhao Piyush Bagad Hazel Doughty Bernard Ghanem Cees G. M. Snoek ViT SSL 49 0 0 08 Apr 2025
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning Chungpa Lee Jeongheon Oh Kibok Lee Jy-yong Sohn SSL 86 1 0 11 Mar 2025
A Generalized Theory of Mixup for Structure-Preserving Synthetic Data Chungpa Lee Jongho Im Joseph H.T. Kim 36 0 0 03 Mar 2025
Optimizing Estimators of Squared Calibration Errors in Classification Sebastian G. Gruber Francis Bach 71 1 0 24 Feb 2025
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning Junghun Oh Sungyong Baik Kyoung Mu Lee CLL 34 3 0 08 Oct 2024
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense Jeremy A. Styborski Mingzhi Lyu Y. Huang Adams Kong 39 0 0 13 Sep 2024
A Unified Contrastive Loss for Self-Training Aurélien Gauffre Julien Horvat Massih-Reza Amini SSL 31 0 0 11 Sep 2024
ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification Mridula Vijendran Frederick W. B. Li Jingjing Deng Hubert P. H. Shum 48 0 0 03 Aug 2024
On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition Zihu Wang Lingqiao Liu Scott Ricardo Figueroa Weston Samuel Tian Peng Li 29 2 0 19 Jul 2024
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning Noor Ahmed Anna Kukleva Bernt Schiele CLL 32 12 0 27 Mar 2024
New Intent Discovery with Attracting and Dispersing Prototype Shun Zhang Jian Yang Jiaqi Bai Chaoran Yan Tongliang Li Zhao Yan Zhoujun Li 44 4 0 25 Mar 2024
Improving Cross-domain Few-shot Classification with Multilayer Perceptron Shuanghao Bai Wanqi Zhou Zhirong Luan Donglin Wang Badong Chen 22 4 0 15 Dec 2023
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors Teodora Popordanoska Sebastian G. Gruber A. Tiulpin Florian Buettner Matthew B. Blaschko 25 3 0 14 Dec 2023
Revisiting Supervision for Continual Representation Learning Daniel Marczak Sebastian Cygert Tomasz Trzciñski Bartlomiej Twardowski SSL CLL 32 0 0 22 Nov 2023
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification Hao Zheng Runqi Wang Jianzhuang Liu Asako Kanezaki 30 7 0 04 Nov 2023
Learning to Generate Parameters of ConvNets for Unseen Image Data Shiye Wang Kaituo Feng Changsheng Li Ye Yuan Guoren Wang 25 1 0 18 Oct 2023
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition Xiaoshuai Song Yutao Mou Keqing He Yueyan Qiu Pei Wang Weiran Xu 25 2 0 16 Oct 2023
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? Atsuyuki Miyai Qing Yu Go Irie Kiyoharu Aizawa OODD 142 6 0 02 Oct 2023
Transferability of Representations Learned using Supervised Contrastive Learning Trained on a Multi-Domain Dataset Alvin De Jun Tan Clement Tan C. Yeo 36 0 0 27 Sep 2023
SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap Daehee Kim Yoon Kim Donghyun Kim Yumin Lim Geewook Kim Taeho Kil 28 3 0 21 Sep 2023
Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains Haoxuan Che Yu-Tsen Cheng Haibo Jin Haoxing Chen MedIm 23 21 0 10 Jul 2023
Multi-Similarity Contrastive Learning Emily Mu John Guttag Maggie Makar SSL 28 2 0 06 Jul 2023
Relating tSNE and UMAP to Classical Dimensionality Reduction Andrew Draganov Simon Dohn FAtt 25 4 0 20 Jun 2023
Rethinking Weak Supervision in Helping Contrastive Learning Jingyi Cui Weiran Huang Yifei Wang Yisen Wang NoLa SSL 32 13 0 07 Jun 2023
The Tunnel Effect: Building Data Representations in Deep Neural Networks Wojciech Masarczyk M. Ostaszewski Ehsan Imani Razvan Pascanu Piotr Milo's Tomasz Trzciñski 28 18 0 31 May 2023
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression Yihao Xue S. Joshi Eric Gan Pin-Yu Chen Baharan Mirzasoleiman SSL 30 23 0 25 May 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Yi Rong Xiongbo Lu Zhaoyang Sun Yaxiong Chen Shengwu Xiong 16 10 0 26 Apr 2023
LION: Implicit Vision Prompt Tuning Haixin Wang Jianlong Chang Xiao Luo Jinan Sun Zhouchen Lin Qi Tian VLM MLLM VPVLM 27 23 0 17 Mar 2023
The Role of Pre-training Data in Transfer Learning R. Entezari Mitchell Wortsman O. Saukh M. Shariatnia Hanie Sedghi Ludwig Schmidt 46 20 0 27 Feb 2023
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs Michael Kirchhof Enkelejda Kasneci Seong Joon Oh UQCV 351 19 0 06 Feb 2023
Rethinking Robust Contrastive Learning from the Adversarial Perspective Fatemeh Ghofrani Mehdi Yaghouti Pooyan Jamshidi AAML SSL 26 1 0 05 Feb 2023
Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification Ali Ghanbarzade Hossein Soleimani SSL 21 10 0 03 Feb 2023
A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends Jie Gui Tuo Chen Jing Zhang Qiong Cao Zhe Sun Haoran Luo Dacheng Tao 31 124 0 13 Jan 2023
Tackling Data Bias in Painting Classification with Style Transfer Mridula Vijendran Frederick W. B. Li Hubert P. H. Shum 33 3 0 06 Jan 2023
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse Xiao Li Sheng Liu Jin-li Zhou Xin Lu C. Fernandez‐Granda Zhihui Zhu Q. Qu AAML 28 18 0 23 Dec 2022
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction Wenxuan Zhou Sheng Zhang Tristan Naumann Muhao Chen Hoifung Poon 46 6 0 21 Dec 2022
Transferability Estimation Based On Principal Gradient Expectation Huiyan Qi Lechao Cheng Jingjing Chen Yue Yu Xue Song Zunlei Feng Yueping Jiang 19 2 0 29 Nov 2022
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works Chao Tao Ji Qi Mingning Guo Qing Zhu Haifeng Li SSL 24 56 0 15 Nov 2022
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions Cheng-Hao Wang Wenzhao Zheng Zhengbiao Zhu Jie Zhou Jiwen Lu SSL AI4TS 47 4 0 11 Oct 2022
Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks Chuyan Zhang Yun Gu 27 0 0 25 Sep 2022
RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection Hangjie Yuan Jianwen Jiang Samuel Albanie Tao Feng Ziyuan Huang Dong Ni Mingqian Tang VLM 29 51 0 05 Sep 2022
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound Zeyu Fu Jianbo Jiao R. Yasrab L. Drukker A. Papageorghiou J. A. Noble 15 15 0 22 Aug 2022
Pro-tuning: Unified Prompt Tuning for Vision Tasks Xing Nie Bolin Ni Jianlong Chang Gaomeng Meng Chunlei Huo Zhaoxiang Zhang Shiming Xiang Qi Tian Chunhong Pan AAML VPVLM VLM 19 69 0 28 Jul 2022
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition Qinying Liu Zilei Wang 20 9 0 20 Jul 2022
Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation Ashraful Islam Bengt Lundell H. Sawhney Sudipta N. Sinha Peter Morales Richard J. Radke SSL 31 9 0 10 Jul 2022
Triangular Contrastive Learning on Molecular Graphs MinGyu Choi Wonseok Shin Yijingxiu Lu Sun Kim 17 2 0 26 May 2022
Selective Cross-Task Distillation Su Lu Han-Jia Ye De-Chuan Zhan 28 0 0 25 Apr 2022
Diverse Imagenet Models Transfer Better Niv Nayman A. Golbert Asaf Noy Tan Ping Lihi Zelnik-Manor 27 0 0 19 Apr 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 19 4 0 18 Apr 2022
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning Mayee F. Chen Daniel Y. Fu A. Narayan Michael Zhang Zhao-quan Song Kayvon Fatahalian Christopher Ré SSL 19 46 0 15 Apr 2022