A Simple Framework for Contrastive Learning of Visual Representations

13 February 2020

Papers citing "A Simple Framework for Contrastive Learning of Visual Representations"

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Title
Contrastive Learning of Musical Representations Janne Spijkervet J. Burgoyne 30 111 0 17 Mar 2021
SPICE: Semantic Pseudo-labeling for Image Clustering Chuang Niu Hongming Shan Ge Wang VLM 27 144 0 17 Mar 2021
Hebbian Semi-Supervised Learning in a Sample Efficiency Setting Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato SSL 14 22 0 16 Mar 2021
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models Po-Yao (Bernie) Huang Mandela Patrick Junjie Hu Graham Neubig Florian Metze Alexander G. Hauptmann MLLM VLM 19 56 0 16 Mar 2021
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots T. Taniguchi Hiroshi Yamakawa Takayuki Nagai Kenji Doya M. Sakagami Masahiro Suzuki Tomoaki Nakamura Akira Taniguchi 18 23 0 15 Mar 2021
Radar Camera Fusion via Representation Learning in Autonomous Driving Xu Dong Binnan Zhuang Yunxiang Mao Langechuan Liu 15 36 0 14 Mar 2021
Revisiting ResNets: Improved Training and Scaling Strategies Irwan Bello W. Fedus Xianzhi Du E. D. Cubuk A. Srinivas Tsung-Yi Lin Jonathon Shlens Barret Zoph 27 297 0 13 Mar 2021
Information Maximization Clustering via Multi-View Self-Labelling Foivos Ntelemis Yaochu Jin S. Thomas SSL 14 25 0 12 Mar 2021
Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus Sangjoon Park Gwanghyun Kim Y. Oh J. Seo Sang Min Lee Jin Hwan Kim Sungjun Moon Jae-Kwang Lim J. C. Ye ViT MedIm 30 33 0 12 Mar 2021
BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation Daisuke Niizumi Daiki Takeuchi Yasunori Ohishi N. Harada K. Kashino SSL 24 175 0 11 Mar 2021
3D Human Pose, Shape and Texture from Low-Resolution Images and Videos Xiangyu Xu Hao Chen Francesc Moreno-Noguer László A. Jeni Fernando De la Torre 3DH 22 35 0 11 Mar 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning Samarth Sinha Ajay Mandlekar Animesh Garg OffRL 24 104 0 10 Mar 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space Quande Liu Cheng Chen J. Qin Qi Dou Pheng-Ann Heng OOD FedML 35 426 0 10 Mar 2021
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding Bo Sun Banghuai Li Shengcai Cai Ye Yuan Chi Zhang 28 370 0 10 Mar 2021
Pretrained Transformers as Universal Computation Engines Kevin Lu Aditya Grover Pieter Abbeel Igor Mordatch 26 217 0 09 Mar 2021
Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles Jevgenij Gamper Nasir M. Rajpoot 13 60 0 08 Mar 2021
Consistency Regularization for Adversarial Robustness Jihoon Tack Sihyun Yu Jongheon Jeong Minseon Kim S. Hwang Jinwoo Shin AAML 31 57 0 08 Mar 2021
Behavior From the Void: Unsupervised Active Pre-Training Hao Liu Pieter Abbeel VLM SSL 34 195 0 08 Mar 2021
Fine-Grained Off-Road Semantic Segmentation and Mapping via Contrastive Learning Biao Gao Shaochi Hu Xijun Zhao Huijing Zhao 21 27 0 05 Mar 2021
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network Lili Pan Peijun Tang Zhiyong Chen Zenglin Xu GAN DRL 11 6 0 05 Mar 2021
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis Jiaye Teng Weiran Huang Haowei He SSL 21 11 0 05 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 11 2,288 0 04 Mar 2021
Self-supervised deep convolutional neural network for chest X-ray classification Matej Gazda J. Gazda J. Plávka P. Drotár SSL 17 54 0 04 Mar 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations Xiang Gao Wei Hu Guo-Jun Qi 24 6 0 01 Mar 2021
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning Mark Hamilton Scott M. Lundberg Lei Zhang Stephanie Fu William T. Freeman FAtt 25 10 0 28 Feb 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 26 289 0 27 Feb 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 98 27,632 0 26 Feb 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 19 155 0 25 Feb 2021
Towards Robust Graph Contrastive Learning Nikola Jovanović Zhao Meng Lukas Faber Roger Wattenhofer SSL 24 33 0 25 Feb 2021
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives Nils Rethmeier Isabelle Augenstein SSL VLM 85 90 0 25 Feb 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 29 76 0 25 Feb 2021
Self-Tuning for Data-Efficient Deep Learning Ximei Wang Jing Gao Mingsheng Long Jianmin Wang BDL 22 69 0 25 Feb 2021
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning Xin Xie Xiangnan Chen Xiang Chen Yong Wang Ningyu Zhang Shumin Deng Huajun Chen 34 2 0 25 Feb 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning Victor Campos Pablo Sprechmann S. Hansen André Barreto Steven Kapturowski Alex Vitvitskyi Adria Puigdomenech Badia Charles Blundell OffRL OnRL 28 26 0 24 Feb 2021
Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation Weijie Chen Luojun Lin Shicai Yang Di Xie Shiliang Pu Yueting Zhuang Wenqi Ren NoLa SSL 25 57 0 23 Feb 2021
LogME: Practical Assessment of Pre-trained Models for Transfer Learning Kaichao You Yong Liu Jianmin Wang Mingsheng Long 16 178 0 22 Feb 2021
Local Calibration: Metrics and Recalibration Rachel Luo Aadyot Bhatnagar Yu Bai Shengjia Zhao Huan Wang Caiming Xiong Silvio Savarese Stefano Ermon Edward Schmerling Marco Pavone 11 14 0 22 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 19 324 0 22 Feb 2021
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View Xuanchi Ren Tao Yang Yuwang Wang W. Zeng CoGe OCL DRL 31 36 0 21 Feb 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction Mehdi Azabou M. G. Azar Ran Liu Chi-Heng Lin Erik C. Johnson ... Lindsey Kitchell Keith B. Hengen William R. Gray Roncal Michal Valko Eva L. Dyer AI4TS 17 56 0 19 Feb 2021
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays A. Spahr Behzad Bozorgtabar Jean-Philippe Thiran 11 16 0 19 Feb 2021
Model-Invariant State Abstractions for Model-Based Reinforcement Learning Manan Tomar Amy Zhang Roberto Calandra Matthew E. Taylor Joelle Pineau 17 24 0 19 Feb 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 32 346 0 18 Feb 2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration Zhiqiang Shen Zechun Liu Jie Qin Lei Huang Kwang-Ting Cheng Marios Savvides UQCV SSL MQ 246 22 0 17 Feb 2021
Contrastive Learning Inverts the Data Generating Process Roland S. Zimmermann Yash Sharma Steffen Schneider Matthias Bethge Wieland Brendel SSL 236 207 0 17 Feb 2021
Self-Supervised Features Improve Open-World Learning A. Dhamija T. Ahmad Jonathan Schwan Mohsen Jafarzadeh Chunchun Li Terrance E. Boult SSL 19 13 0 15 Feb 2021
Learning Intents behind Interactions with Knowledge Graph for Recommendation Xiang Wang Tinglin Huang Dingxian Wang Yancheng Yuan Zhenguang Liu Xiangnan He Tat-Seng Chua 82 413 0 14 Feb 2021
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning Kento Nozawa Issei Sato SSL 16 43 0 13 Feb 2021
Understanding self-supervised Learning Dynamics without Contrastive Pairs Yuandong Tian Xinlei Chen Surya Ganguli SSL 138 279 0 12 Feb 2021
Large-Scale Representation Learning on Graphs via Bootstrapping S. Thakoor Corentin Tallec M. G. Azar Mehdi Azabou Eva L. Dyer Rémi Munos Petar Velivcković Michal Valko SSL 13 215 0 12 Feb 2021