A Theoretical Analysis of Contrastive Unsupervised Representation Learning

25 February 2019

Papers citing "A Theoretical Analysis of Contrastive Unsupervised Representation Learning"

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Title
Conditional Contrastive Learning with Kernel Yao-Hung Hubert Tsai Tianqi Li Martin Q. Ma Han Zhao Kun Zhang Louis-Philippe Morency Ruslan Salakhutdinov 27 25 0 11 Feb 2022
Simple Control Baselines for Evaluating Transfer Learning Andrei Atanov Shijian Xu Onur Beker Andrei Filatov Amir Zamir SSL 42 1 0 07 Feb 2022
Crafting Better Contrastive Views for Siamese Representation Learning Xiang Peng Kai Wang Zheng Hua Zhu Mang Wang Yang You SSL 30 102 0 07 Feb 2022
Understanding The Robustness of Self-supervised Learning Through Topic Modeling Zeping Luo Shiyou Wu C. Weng Mo Zhou Rong Ge OOD SSL 18 3 0 02 Feb 2022
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression Haoyu Zhao Boyue Li Zhize Li Peter Richtárik Yuejie Chi 37 49 0 31 Jan 2022
Understanding Deep Contrastive Learning via Coordinate-wise Optimization Yuandong Tian 52 34 0 29 Jan 2022
Investigating Why Contrastive Learning Benefits Robustness Against Label Noise Yihao Xue Kyle Whitecross Baharan Mirzasoleiman SSL NoLa 30 51 0 29 Jan 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices Mikolaj Malkiñski Jacek Mańdziuk 127 42 0 28 Jan 2022
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning Haobo Wang Rui Xiao Yixuan Li Lei Feng Gang Niu Gang Chen Jun Zhao VLM 56 25 0 22 Jan 2022
Contrastive Laplacian Eigenmaps Hao Zhu Ke Sun Piotr Koniusz 34 45 0 14 Jan 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 92 81 0 13 Jan 2022
Unsupervised Domain Adaptive Person Re-id with Local-enhance and Prototype Dictionary Learning Haopeng Hou 28 2 0 11 Jan 2022
Optimal Representations for Covariate Shift Yangjun Ruan Yann Dubois Chris J. Maddison OOD 36 68 0 31 Dec 2021
Representation Learning via Consistent Assignment of Views to Clusters T. Silva Adín Ramirez Rivera SSL 19 8 0 31 Dec 2021
Max-Margin Contrastive Learning Anshul B. Shah S. Sra Ramalingam Chellappa A. Cherian SSL 37 44 0 21 Dec 2021
Supervised Graph Contrastive Pretraining for Text Classification Samujjwal Ghosh Subhadeep Maji M. Desarkar SSL 14 2 0 21 Dec 2021
Bootstrap Equilibrium and Probabilistic Speaker Representation Learning for Self-supervised Speaker Verification Sung Hwan Mun Min Hyun Han Dongjune Lee Jihwan Kim N. Kim SSL 45 3 0 16 Dec 2021
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration Yu Wang Jingyang Lin Jingjing Zou Yingwei Pan Ting Yao Tao Mei OODD 39 12 0 15 Dec 2021
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications Karin Stacke Jonas Unger Claes Lundström Gabriel Eilertsen OOD SSL 31 25 0 10 Dec 2021
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework Ching-Yun Ko Jeet Mohapatra Sijia Liu Pin-Yu Chen Lucani E. Daniel Lily Weng SSL 33 11 0 08 Dec 2021
Augmentation-Free Self-Supervised Learning on Graphs Namkyeong Lee Junseok Lee Chanyoung Park 62 203 0 05 Dec 2021
Object-Aware Cropping for Self-Supervised Learning Shlok Kumar Mishra Anshul B. Shah Ankan Bansal Abhyuday N. Jagannatha Janit Anjaria Abhishek Sharma David Jacobs Dilip Krishnan SSL 28 22 0 01 Dec 2021
ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification Zhibo Zhang Jongseong Jang C. Trabelsi Ruiwen Li Scott Sanner Yeonjeong Jeong Dongsub Shim 14 4 0 28 Nov 2021
Learning Representation for Clustering via Prototype Scattering and Positive Sampling Zhizhong Huang Jie Chen Junping Zhang Hongming Shan 36 88 0 23 Nov 2021
Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes Kevalee Shah Dimitris Spathis Chi Ian Tang Cecilia Mascolo 22 8 0 13 Nov 2021
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels Benoit Dufumier Pietro Gori J. Victor Antoine Grigis Edouard Duchesnay MedIm 26 6 0 10 Nov 2021
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices Puja Trivedi Ekdeep Singh Lubana Yujun Yan Yaoqing Yang Danai Koutra 45 52 0 05 Nov 2021
Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning Ruijie Jiang Prakash Ishwar Shuchin Aeron SSL 16 6 0 04 Nov 2021
Leveraging Time Irreversibility with Order-Contrastive Pre-training Monica Agrawal Hunter Lang M. Offin L. Gazit David Sontag 27 6 0 04 Nov 2021
Towards the Generalization of Contrastive Self-Supervised Learning Weiran Huang Mingyang Yi Xuyang Zhao Zihao Jiang SSL 26 108 0 01 Nov 2021
Self-supervised EEG Representation Learning for Automatic Sleep Staging Chaoqi Yang MSc Cao Xiao PhD M Brandon Westover PhD Jimeng Sun SSL 54 22 0 27 Oct 2021
Understanding Dimensional Collapse in Contrastive Self-supervised Learning Li Jing Pascal Vincent Yann LeCun Yuandong Tian SSL 25 339 0 18 Oct 2021
Self-Supervised Representation Learning: Introduction, Advances and Challenges Linus Ericsson Henry Gouk Chen Change Loy Timothy M. Hospedales SSL OOD AI4TS 37 274 0 18 Oct 2021
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science Charlotte Loh T. Christensen Rumen Dangovski Samuel Kim Marin Soljacic 37 17 0 15 Oct 2021
Rethinking Self-Supervision Objectives for Generalizable Coherence Modeling Prathyusha Jwalapuram Shafiq Joty Xiang Lin 76 15 0 14 Oct 2021
On a Benefit of Mask Language Modeling: Robustness to Simplicity Bias Ting-Rui Chiang 38 4 0 11 Oct 2021
Self-supervised Learning is More Robust to Dataset Imbalance Hong Liu Jeff Z. HaoChen Adrien Gaidon Tengyu Ma OOD SSL 43 157 0 11 Oct 2021
Weakly Supervised Contrastive Learning Mingkai Zheng Fei-Yue Wang Shan You Chao Qian Changshui Zhang Xiaogang Wang Chang Xu SSL 45 121 0 10 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry Shengchao Liu Hanchen Wang Weiyang Liu Joan Lasenby Hongyu Guo Jian Tang 126 304 0 07 Oct 2021
On the Surrogate Gap between Contrastive and Supervised Losses Han Bao Yoshihiro Nagano Kento Nozawa SSL UQCV 46 19 0 06 Oct 2021
The Power of Contrast for Feature Learning: A Theoretical Analysis Wenlong Ji Zhun Deng Ryumei Nakada James Zou Linjun Zhang SSL 55 49 0 06 Oct 2021
Multi-axis Attentive Prediction for Sparse EventData: An Application to Crime Prediction Yi Sui Ga Wu Scott Sanner 24 2 0 05 Oct 2021
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations Mohammadreza Zolfaghari Yi Zhu Peter V. Gehler Thomas Brox 137 127 0 30 Sep 2021
Unsupervised Abstract Reasoning for Raven's Problem Matrices Tao Zhuo Qian Huang Mohan S. Kankanhalli LRM 118 22 0 21 Sep 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-xiong Wang José M. F. Moura 35 28 0 20 Sep 2021
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization Shuyang Cao Lu Wang HILM 36 175 0 19 Sep 2021
Robust Contrastive Active Learning with Feature-guided Query Strategies R. Krishnan Nilesh A. Ahuja Alok Sinha Mahesh Subedar Omesh Tickoo Ravi Iyer 28 1 0 13 Sep 2021
Predicting the outcome of team movements -- Player time series analysis using fuzzy and deep methods for representation learning Omid Shokrollahi Bahman Rohani A. Nobakhti AI4TS 19 2 0 13 Sep 2021
A Low Rank Promoting Prior for Unsupervised Contrastive Learning Yu Wang Jingyang Lin Qi Cai Yingwei Pan Ting Yao Hongyang Chao Tao Mei SSL 40 16 0 05 Aug 2021
On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals Haizhou Shi Youcai Zhang Siliang Tang Wenjie Zhu Yaqian Li Yandong Guo Yueting Zhuang SyDa 28 15 0 30 Jul 2021