Self-Supervised Learning of Pretext-Invariant Representations

Computer Vision and Pattern Recognition (CVPR), 2019

4 December 2019

Ishan Misra

Laurens van der Maaten

SSL

VLM

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Papers citing "Self-Supervised Learning of Pretext-Invariant Representations"

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Graph-Jigsaw Conditioned Diffusion Model for Skeleton-based Video Anomaly DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Ali Karami Thi Kieu Khanh Ho Narges Armanfard DiffM 201 11 0 18 Mar 2024
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Membership Information Leakage in Federated Contrastive Learning Kongyang Chen Wenfeng Wang Zixin Wang Wangjun Zhang Zhipeng Li Yao Huang FedML 238 1 0 06 Mar 2024
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models Younghan Lee Yungi Cho Woorim Han Ho Bae Y. Paek FedML AAML 169 3 0 05 Mar 2024
Spatial Cascaded Clustering and Weighted Memory for Unsupervised Person Re-identification Jiahao Hong Jia-li Zuo Chuchu Han Ruochen Zheng Ming Tian Changxin Gao Nong Sang 256 4 0 01 Mar 2024
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning Keying Kuang Frances Dean Jack B. Jedlicki David Ouyang Anthony Philippakis David Sontag Ahmed M. Alaa SyDa PINN 247 6 0 29 Feb 2024
LocalGCL: Local-aware Contrastive Learning for Graphs Haojun Jiang Jiawei Sun Jie Li Chentao Wu SSL 94 1 0 27 Feb 2024
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications Zhen Yang Ming Ding Tinglin Huang Yukuo Cen Junshuai Song Bin Xu Yuxiao Dong Jie Tang 298 26 0 27 Feb 2024
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning Wuyang Chen Jialin Song Pu Ren Shashank Subramanian Dmitriy Morozov Michael W. Mahoney AI4CE 404 20 0 24 Feb 2024
The Common Stability Mechanism behind most Self-Supervised Learning Approaches Abhishek Jha Matthew B. Blaschko Yuki M. Asano Tinne Tuytelaars SSL 121 4 0 22 Feb 2024
Robust Training of Federated Models with Extremely Label Deficiency Yonggang Zhang Zhiqin Yang Xinmei Tian Nannan Wang Tongliang Liu Bo Han FedML 240 7 0 22 Feb 2024
MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models Tongxu Luo Jiahe Lei Fangyu Lei Weihao Liu Shizhu He Jun Zhao Kang Liu MoE ALM 176 42 0 20 Feb 2024
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)Neural Information Processing Systems (NeurIPS), 2024 Weijie Tu Weijian Deng Tom Gedeon UQCV VLM 209 51 0 12 Feb 2024
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning Mahdi Naseri Mahdi Biparva SSL 196 0 0 09 Feb 2024
Learning with Mixture of Prototypes for Out-of-Distribution Detection Haodong Lu Dong Gong Shuo Wang Jason Xue Lina Yao Kristen Moore OODD 272 44 0 05 Feb 2024
A Probabilistic Model behind Self-Supervised Learning Alice Bizeul Bernhard Schölkopf Carl Allen SSL 243 2 0 02 Feb 2024
All Beings Are Equal in Open Set Recognition Chaohua Li Enhao Zhang Chuanxing Geng Songcan Chen 193 5 0 31 Jan 2024
Consistency Enhancement-Based Deep Multiview Clustering via Contrastive Learning Hao Yang Hua Mao Wai Lok Woo Jie Chen Xi Peng 347 2 0 23 Jan 2024
Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey Zhenyu Wu Fengmao Lv Chenglizhao Chen Aimin Hao Shuo Li ELM 213 21 0 22 Jan 2024
CPCL: Cross-Modal Prototypical Contrastive Learning for Weakly Supervised Text-based Person Retrieval Yanwei Zheng Xinpeng Zhao Chuanlin Lan Xiaowei Zhang Bowen Huang Jibin Yang Dongxiao Yu VLM 356 0 0 18 Jan 2024
Trapped in texture bias? A large scale comparison of deep instance segmentationEuropean Conference on Computer Vision (ECCV), 2024 J. Theodoridis Jessica Hofmann J. Maucher A. Schilling SSeg 196 6 0 17 Jan 2024
Scalable Pre-training of Large Autoregressive Image ModelsInternational Conference on Machine Learning (ICML), 2024 Alaaeldin El-Nouby Michal Klein Shuangfei Zhai Miguel Angel Bautista Alexander Toshev Vaishaal Shankar J. Susskind Armand Joulin VLM 262 109 0 16 Jan 2024
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Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing Jaeill Kim Duhun Hwang Eunjung Lee Jangwon Suh Jimyeong Kim Wonjong Rhee 227 1 0 11 Jan 2024
Self-supervised learning for skin cancer diagnosis with limited training data Hamish Haggerty Rohitash Chandra 191 6 0 01 Jan 2024
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Erasing Self-Supervised Learning Backdoor by Cluster Activation Masking Shengsheng Qian Yifei Wang Dizhan Xue Shengjie Zhang Huaiwen Zhang Changsheng Xu AAML 164 1 0 13 Dec 2023
Benchmarking of Query Strategies: Towards Future Deep Active Learning Shiryu Ueno Yusei Yamada Shunsuke Nakatsuka Kunihito Kato FedML 194 2 0 10 Dec 2023
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Latent Space Explorer: Visual Analytics for Multimodal Latent Space Exploration Bum Chul Kwon S. Friedman Kai Xu S. Lubitz Anthony Philippakis P. Batra P. Ellinor Kenney Ng 183 1 0 01 Dec 2023
Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation LearningIEEE Access (IEEE Access), 2023 Aristotelis Ballas Vasileios Papapanagiotou Christos Diou 315 2 0 01 Dec 2023
Do text-free diffusion models learn discriminative visual representations?European Conference on Computer Vision (ECCV), 2023 Soumik Mukhopadhyay M. Gwilliam Yosuke Yamaguchi Vatsal Agarwal Namitha Padmanabhan Archana Swaminathan Wanrong Zhu Abhinav Shrivastava DiffM 398 24 1 29 Nov 2023
Contrastive encoder pre-training-based clustered federated learning for heterogeneous dataNeural Networks (Neural Netw.), 2023 Ye Lin Tun Minh N. H. Nguyen Chu Myaet Thwal J. Choi Choong Seon Hong FedML 226 15 0 28 Nov 2023
A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature ExtractorsInternational Conference on Natural Language and Speech Processing (ICNLSP), 2023 Shuyue Stella Li Beining Xu Xiangyu Zhang Hexin Liu Wen-Han Chao Leibny Paola García SSL 148 4 0 27 Nov 2023
A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series Trang H. Tran Lam M. Nguyen Kyongmin Yeo Nam H. Nguyen Roman Vaculin AI4TS 157 0 0 21 Nov 2023
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Multi-entity Video Transformers for Fine-Grained Video Representation Learning Matthew Walmer Rose Kanjirathinkal Kai Sheng Tai Keyur Muzumdar Taipeng Tian Abhinav Shrivastava ViT 371 0 0 17 Nov 2023
Generalization Bounds for Robust Contrastive Learning: From Theory to Practice Ngoc N. Tran Lam C. Tran Hoang Phan Anh-Vu Bui Tung Pham Toan M. Tran Dinh Q. Phung Trung Le SSL NoLa 341 0 0 16 Nov 2023
MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains Yuwen Chen Helen Zhou Zachary Chase Lipton 215 2 0 15 Nov 2023
Contrastive Learning of View-Invariant Representations for Facial Expressions Recognition Shuvendu Roy Ali Etemad 245 2 0 12 Nov 2023
Enhancing Instance-Level Image Classification with Set-Level Labels Renyu Zhang Aly A. Khan Yuxin Chen Robert L. Grossman 251 0 0 09 Nov 2023

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Self-Supervised Learning of Pretext-Invariant Representations

Papers citing "Self-Supervised Learning of Pretext-Invariant Representations"