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GitHub 3.6k Satr自监督学习(Self-Supervised Learning)资源你值得拥有!

自我监督学习已成为AI社区中令人兴奋的方向。

Jitendra Malik: "Supervision is the opium of the AI researcher"

Alyosha Efros: "The AI revolution will not be supervised"

Yann LeCun: "self-supervised learning is the cake, supervised learning is the icing on the cake, reinforcement learning is the cherry on the cake"

计算机视觉(Computer Vision)

Survey

A Survey on Contrastive Self-supervised Learning [pdf]

Ashish Jaiswal, Ashwin R Babu, Mohammad Z Zadeh, Debapriya Banerjee, Fillia Makedon

Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey. [pdf]

Longlong Jing and Yingli Tian. T-PAMI 2020

Self-supervised Learning: Generative or Contrastive [pdf]

Xiao Liu, Fanjin Zhang, Zhenyu Hou, Li Mian, Zhaoyu Wang, Jing Zhang, Jie Tang.

图像表示学习(Image Representation Learning)

Benchmark code

FAIR Self-Supervision Benchmark [repo]: various benchmark (and legacy) tasks for evaluating quality of visual representations learned by various self-supervision approaches.

2015

Unsupervised Visual Representation Learning by Context Prediction. [pdf] [code]

Doersch, Carl and Gupta, Abhinav and Efros, Alexei A. ICCV 2015

Unsupervised Learning of Visual Representations using Videos. [pdf] [code]

Wang, Xiaolong and Gupta, Abhinav. ICCV 2015

Learning to See by Moving. [pdf] [code]

Agrawal, Pulkit and Carreira, Joao and Malik, Jitendra. ICCV 2015

Learning image representations tied to ego-motion. [pdf] [code]

Jayaraman, Dinesh and Grauman, Kristen. ICCV 2015

2016

Joint Unsupervised Learning of Deep Representations and Image Clusters. [pdf] [code-torch] [code-caffe]

Jianwei Yang, Devi Parikh, Dhruv Batra. CVPR 2016

Unsupervised Deep Embedding for Clustering Analysis. [pdf] [code]

Junyuan Xie, Ross Girshick, and Ali Farhadi. ICML 2016

Slow and steady feature analysis: higher order temporal coherence in video. [pdf]

Jayaraman, Dinesh and Grauman, Kristen. CVPR 2016

Context Encoders: Feature Learning by Inpainting. [pdf] [code]

Pathak, Deepak and Krahenbuhl, Philipp and Donahue, Jeff and Darrell, Trevor and Efros, Alexei A. CVPR 2016

Colorful Image Colorization. [pdf] [code]

Zhang, Richard and Isola, Phillip and Efros, Alexei A. ECCV 2016

Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles. [pdf] [code]

Noroozi, Mehdi and Favaro, Paolo. ECCV 2016

Ambient Sound Provides Supervision for Visual Learning. [pdf] [code]

Owens, Andrew and Wu, Jiajun and McDermott, Josh and Freeman, William and Torralba, Antonio. ECCV 2016

Learning Representations for Automatic Colorization. [pdf] [code]

Larsson, Gustav and Maire, Michael and Shakhnarovich, Gregory. ECCV 2016

Unsupervised Visual Representation Learning by Graph-based Consistent Constraints. [pdf] [code]

Li, Dong and Hung, Wei-Chih and Huang, Jia-Bin and Wang, Shengjin and Ahuja, Narendra and Yang, Ming-Hsuan. ECCV 2016

2017

Adversarial Feature Learning. [pdf] [code]

Donahue, Jeff and Krahenbuhl, Philipp and Darrell, Trevor. ICLR 2017

Self-supervised learning of visual features through embedding images into text topic spaces. [pdf] [code]

L. Gomez* and Y. Patel* and M. Rusiñol and D. Karatzas and C.V. Jawahar. CVPR 2017

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. [pdf] [code]

Zhang, Richard and Isola, Phillip and Efros, Alexei A. CVPR 2017

Learning Features by Watching Objects Move. [pdf] [code]

Pathak, Deepak and Girshick, Ross and Dollar, Piotr and Darrell, Trevor and Hariharan, Bharath. CVPR 2017

Colorization as a Proxy Task for Visual Understanding. [pdf] [code]

Larsson, Gustav and Maire, Michael and Shakhnarovich, Gregory. CVPR 2017

DeepPermNet: Visual Permutation Learning. [pdf] [code]

Cruz, Rodrigo Santa and Fernando, Basura and Cherian, Anoop and Gould, Stephen. CVPR 2017

Unsupervised Learning by Predicting Noise. [pdf] [code]

Bojanowski, Piotr and Joulin, Armand. ICML 2017

Multi-task Self-Supervised Visual Learning. [pdf]

Doersch, Carl and Zisserman, Andrew. ICCV 2017

Representation Learning by Learning to Count. [pdf]

Noroozi, Mehdi and Pirsiavash, Hamed and Favaro, Paolo. ICCV 2017

Transitive Invariance for Self-supervised Visual Representation Learning. [pdf]

Wang, Xiaolong and He, Kaiming and Gupta, Abhinav. ICCV 2017

Look, Listen and Learn. [pdf]

Relja, Arandjelovic and Zisserman, Andrew. ICCV 2017

Unsupervised Representation Learning by Sorting Sequences. [pdf] [code]

Hsin-Ying Lee, Jia-Bin Huang, Maneesh Kumar Singh, and Ming-Hsuan Yang. ICCV 2017

2018

Unsupervised Feature Learning via Non-parameteric Instance Discrimination [pdf] [code]

Zhirong Wu, Yuanjun Xiong and X Yu Stella and Dahua Lin. CVPR 2018

Learning Image Representations by Completing Damaged Jigsaw Puzzles. [pdf] [code]

Kim, Dahun and Cho, Donghyeon and Yoo, Donggeun and Kweon, In So. WACV 2018

Unsupervised Representation Learning by Predicting Image Rotations. [pdf] [code]

Spyros Gidaris and Praveer Singh and Nikos Komodakis. ICLR 2018

Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization. [pdf] [code]

Ozsel Kilinc and Ismail Uysal. ICLR 2018

Improvements to context based self-supervised learning. [pdf]

Terrell Mundhenk and Daniel Ho and Barry Chen. CVPR 2018

Self-Supervised Feature Learning by Learning to Spot Artifacts. [pdf] [code]

Simon Jenni and Universität Bern and Paolo Favaro. CVPR 2018

Boosting Self-Supervised Learning via Knowledge Transfer. [pdf]

Mehdi Noroozi and Ananth Vinjimoor and Paolo Favaro and Hamed Pirsiavash. CVPR 2018

Cross-domain Self-supervised Multi-task Feature Learning Using Synthetic Imagery. [pdf] [code]

Zhongzheng Ren and Yong Jae Lee. CVPR 2018

ShapeCodes: Self-Supervised Feature Learning by Lifting Views to Viewgrids. [pdf]

Dinesh Jayaraman*, UC Berkeley; Ruohan Gao, University of Texas at Austin; Kristen Grauman. ECCV 2018

Deep Clustering for Unsupervised Learning of Visual Features [pdf] [code]

Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze. ECCV 2018

Cross Pixel Optical-Flow Similarity for Self-Supervised Learning. [pdf]

Aravindh Mahendran, James Thewlis, Andrea Vedaldi. ACCV 2018

2019

Representation Learning with Contrastive Predictive Coding. [pdf]

Aaron van den Oord, Yazhe Li, Oriol Vinyals.

Self-Supervised Learning via Conditional Motion Propagation. [pdf] [code]

Xiaohang Zhan, Xingang Pan, Ziwei Liu, Dahua Lin, and Chen Change Loy. CVPR 2019

Self-Supervised Representation Learning by Rotation Feature Decoupling. [pdf] [code]

Zeyu Feng; Chang Xu; Dacheng Tao. CVPR 2019

Revisiting Self-Supervised Visual Representation Learning. [pdf] [code]

Alexander Kolesnikov; Xiaohua Zhai; Lucas Beye. CVPR 2019

Self-Supervised GANs via Auxiliary Rotation Loss. [pdf] [code]

Ting Chen; Xiaohua Zhai; Marvin Ritter; Mario Lucic; Neil Houlsby. CVPR 2019

AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data. [pdf] [code]

Liheng Zhang, Guo-Jun Qi, Liqiang Wang, Jiebo Luo. CVPR 2019

Unsupervised Deep Learning by Neighbourhood Discovery. [pdf]. [code].

Jiabo Huang, Qi Dong, Shaogang Gong, Xiatian Zhu. ICML 2019

Contrastive Multiview Coding. [pdf] [code]

Yonglong Tian and Dilip Krishnan and Phillip Isola.

Large Scale Adversarial Representation Learning. [pdf]

Jeff Donahue, Karen Simonyan.

Learning Representations by Maximizing Mutual Information Across Views. [pdf] [code]

Philip Bachman, R Devon Hjelm, William Buchwalter

Selfie: Self-supervised Pretraining for Image Embedding. [pdf]

Trieu H. Trinh, Minh-Thang Luong, Quoc V. Le

Data-Efficient Image Recognition with Contrastive Predictive Coding [pdf]

Olivier J. He ́naff, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aaron van den Oord

Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty [pdf] [code]

Dan Hendrycks, Mantas Mazeika, Saurav Kadavath, Dawn Song. NeurIPS 2019

Boosting Few-Shot Visual Learning with Self-Supervision [pdf]

Pyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, and Matthieu Cord. ICCV 2019

Self-Supervised Generalisation with Meta Auxiliary Learning [pdf] [code]

Shikun Liu, Andrew J. Davison, Edward Johns. NeurIPS 2019

Wasserstein Dependency Measure for Representation Learning [pdf] [code]

Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aaron van den Oord, Sergey Levine, Pierre Sermanet. NeurIPS 2019

Scaling and Benchmarking Self-Supervised Visual Representation Learning [pdf] [code]

Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra. ICCV 2019

Unsupervised Pre-Training of Image Features on Non-Curated Data [pdf] [code]

Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin. ICCV 2019 Oral

S4L: Self-Supervised Semi-Supervised Learning [pdf] [code]

Xiaohua Zhai, Avital Oliver, Alexander Kolesnikov, Lucas Beyer. ICCV 2019

Self-supervised model adaptation for multimodal semantic segmentation. [pdf] [code]

Abhinav Valada, Rohit Mohan, and Wolfram Burgard. IJCV 2019

2020

A critical analysis of self-supervision, or what we can learn from a single image [pdf] [code]

Yuki M. Asano, Christian Rupprecht, Andrea Vedaldi. ICLR 2020

On Mutual Information Maximization for Representation Learning [pdf] [code]

Michael Tschannen, Josip Djolonga, Paul K. Rubenstein, Sylvain Gelly, Mario Lucic. ICLR 2020

Understanding the Limitations of Variational Mutual Information Estimators [pdf] [code]

Jiaming Song, Stefano Ermon. ICLR 2020

Self-labelling via simultaneous clustering and representation learning [pdf] [blogpost] [code]

Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi. ICLR 2020 (Spotlight)

Self-supervised Label Augmentation via Input Transformations [pdf] [code]

Hankook Lee, Sung Ju Hwang, Jinwoo Shin. ICML 2020

Automatic Shortcut Removal for Self-Supervised Representation Learning [pdf]

Matthias Minderer, Olivier Bachem, Neil Houlsby, Michael Tschannen

A Simple Framework for Contrastive Learning of Visual Representations [pdf] [code]

Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey Hinton. ICML 2020

How Useful is Self-Supervised Pretraining for Visual Tasks? [pdf] [code]

Alejandro Newell, Jia Deng. CVPR 2020

Momentum Contrast for Unsupervised Visual Representation Learning [pdf] [code]

Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross Girshick. CVPR 2020

ClusterFit: Improving Generalization of Visual Representations [pdf]

Xueting Yan*, Ishan Misra*, Abhinav Gupta, Deepti Ghadiyaram**, Dhruv Mahajan**. CVPR 2020

Self-Supervised Learning of Pretext-Invariant Representations [pdf]

Ishan Misra, Laurens van der Maaten. CVPR 2020

Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning [pdf] [unofficial-code]

Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre H. Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos, Michal Valko. NeurIPS 2020, Oral

Big Self-Supervised Models are Strong Semi-Supervised Learners [pdf] [code]

Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, Geoffrey Hinton. NeurIPS 2020

Self-Supervised Prototypical Transfer Learning for Few-Shot Classification [pdf] [code]

Carlos Medina, Arnout Devos, Matthias Grossglauser

SCAN: Learning to Classify Images without Labels [pdf] [code]

Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool. ECCV 2020

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments [pdf] [code]

Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin. NeurIPS 2020

Self-Supervised Relational Reasoning for Representation Learning [pdf] [code]

Massimiliano Patacchiola, Amos Storkey. NeurIPS 2020, Spotlight

Exploring Simple Siamese Representation Learning [pdf] [unofficial-code]

Xinlei Chen, Kaiming He

Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning [pdf] [code]

Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez

2021

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning [pdf] [code]

Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, and Han Hu. CVPR 2021

视频表示学习(Video Representation Learning)

Unsupervised Learning of Video Representations using LSTMs. [pdf] [code]

Srivastava, Nitish and Mansimov, Elman and Salakhudinov, Ruslan. ICML 2015

Shuffle and Learn: Unsupervised Learning using Temporal Order Verification. [pdf] [code]

Ishan Misra, C. Lawrence Zitnick and Martial Hebert. ECCV 2016

LSTM Self-Supervision for Detailed Behavior Analysis [pdf]

Biagio Brattoli*, Uta Büchler*, Anna-Sophia Wahl, Martin E. Schwab, and Björn Ommer. CVPR 2017

Self-Supervised Video Representation Learning With Odd-One-Out Networks. [pdf]

Basura Fernando and Hakan Bilen and Efstratios Gavves and Stephen Gould. CVPR 2017

Unsupervised Learning of Long-Term Motion Dynamics for Videos. [pdf]

Luo, Zelun and Peng, Boya and Huang, De-An and Alahi, Alexandre and Fei-Fei, Li. CVPR 2017

Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning. [pdf]

Chuang Gan and Boqing Gong and Kun Liu and Hao Su and Leonidas J. Guibas. CVPR 2018

Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning. [pdf]

Biagio Brattoli*, Uta Büchler*, and Björn Ommer. ECCV 2018

Self-supervised learning of a facial attribute embedding from video. [pdf]

Wiles, O., Koepke, A.S., Zisserman, A. BMVC 2018

Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles. [pdf]

Kim, Dahun and Cho, Donghyeon and Yoo, Donggeun and Kweon, In So. AAAI 2019

Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics. [pdf]

Jiangliu Wang; Jianbo Jiao; Linchao Bao; Shengfeng He; Yunhui Liu; Wei Liu. CVPR 2019

DynamoNet: Dynamic Action and Motion Network. [pdf]

Ali Diba; Vivek Sharma, Luc Van Gool, Rainer Stiefelhagen. ICCV 2019

Learning Correspondence from the Cycle-consistency of Time. [pdf] [code]

Xiaolong Wang*, Allan Jabri* and Alexei A. Efros. CVPR 2019

Joint-task Self-supervised Learning for Temporal Correspondence. [pdf] [code]

Xueting Li*, Sifei Liu*, Shalini De Mello, Xiaolong Wang, Jan Kautz, and Ming-Hsuan Yang. NIPS 2019

Self-Supervised Video Representation Learning Using Inter-Intra Contrstive Framework [pdf] [code]

Li Tao, Xueting Wang*, Toshihiko Yamasaki. ACMMM 2020

Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning [pdf] [Code]

Yuan Yao*, Chang Liu*, Dezhao Luo, Yu Zhou, Qixiang Ye. CVPR 2020

Self-Supervised Video Representation Learning by Pace Prediction [pdf] [code]

Jiangliu Wang, Jianbo Jiao, Yun-Hui Liu. ECCV 2020

Video Representation Learning by Recognizing Temporal Transformations [pdf] [code]

Simon Jenni, Givi Meishvili, Paolo Favaro. ECCV 2020

Self-supervised Co-training for Video Representation Learning [pdf] [code]

Tengda Han, Weidi Xie, and Andrew Zisserman. NeurIPS 2020

Cycle-Contrast for Self-Supervised Video Representation Learning [pdf]

Quan Kong, Wenpeng Wei, Ziwei Deng, Tomoaki Yoshinaga, and Tomokazu Murakami. NeurIPS 2020

Video Representation Learning with Visual Tempo Consistency [pdf] [code]

Ceyuan Yang, Yinghao Xu, Bo Dai, and Bolei Zhou

Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics [pdf]

Jiangliu Wang, Jianbo Jiao, Linchao Bao, Shengfeng He, Wei Liu, and Yun-hui Liu

Spatiotemporal Contrastive Video Representation Learning [pdf]

Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge Belongie, and Yin Cui

Self-Supervised Video Representation Using Pretext-Contrastive Learning [pdf]

Li Tao, Xueting Wang, and Toshihiko Yamasaki

Unsupervised Video Representation Learning by Bidirectional Feature Prediction [pdf]

Nadine Behrmann, Juergen Gall, and Mehdi Noroozi

RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning [pdf]

Peihao Chen, Deng Huang, Dongliang He, Xiang Long, Runhao Zeng, Shilei Wen, Mingkui Tan, and Chuang Gan

Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning [pdf]

Zehua Zhang and David Crandall

Can Temporal Information Help with Contrastive Self-Supervised Learning? [pdf]

Yutong Bai, Haoqi Fan, Ishan Misra, Ganesh Venkatesh, Yongyi Lu, Yuyin Zhou, Qihang Yu, Vikas Chandra, and Alan Yuille

Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion [pdf] [code]

Jinpeng Wang, Yuting Gao, Ke Li, Jianguo Hu, Xinyang Jiang, Xiaowei Guo, Rongrong Ji, and Xing Sun. AAAI 2021

Space-Time Correspondence as a Contrastive Random Walk [pdf] [code] [project]

Allan Jabri, Andrew Owens, Alexei A. Efros. NeurIPS 2020 Oral

Geometry

Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue. [pdf] [code]

Ravi Garg, Vijay Kumar BG, Gustavo Carneiro, Ian Reid. ECCV 2016

Self-supervised Learning of Motion Capture. [pdf] [code] [web]

Tung, Hsiao-Yu and Tung, Hsiao-Wei and Yumer, Ersin and Fragkiadaki, Katerina. NIPS 2017

Unsupervised learning of object frames by dense equivariant image labelling. [pdf]

James Thewlis, Hakan Bilen, Andrea Vedaldi. NeurIPS 2017

Unsupervised Learning of Depth and Ego-Motion from Video. [pdf] [code] [web]

Zhou, Tinghui and Brown, Matthew and Snavely, Noah and Lowe, David G. CVPR 2017

Active Stereo Net: End-to-End Self-Supervised Learning for Active Stereo Systems. [project]

Yinda Zhang*, Sean Fanello, Sameh Khamis, Christoph Rhemann, Julien Valentin, Adarsh Kowdle, Vladimir Tankovich, Shahram Izadi, Thomas Funkhouser. ECCV 2018

Self-Supervised Relative Depth Learning for Urban Scene Understanding. [pdf] [project]

Huaizu Jiang*, Erik Learned-Miller, Gustav Larsson, Michael Maire, Greg Shakhnarovich. ECCV 2018

Geometry-Aware Learning of Maps for Camera Localization. [pdf] [code]

Samarth Brahmbhatt, Jinwei Gu, Kihwan Kim, James Hays, and Jan Kautz. CVPR 2018

Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection. [pdf] [web]

David Novotny, Samuel Albanie, Diane Larlus, Andrea Vedaldi. CVPR 2018

Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry. [pdf]

Muhammed Kocabas; Salih Karagoz; Emre Akbas. CVPR 2019

SelFlow: Self-Supervised Learning of Optical Flow. [pdf]

Unsupervised Learning of Landmarks by Descriptor Vector Exchange. [pdf] [code] [web]

James Thewlis, Samuel Albanie, Hakan Bilen, Andrea Vedaldi. ICCV 2019

Audio

Audio-Visual Scene Analysis with Self-Supervised Multisensory Features. [pdf] [code]

Andrew Owens, Alexei A. Efros. ECCV 2018

Objects that Sound. [pdf]

R. Arandjelović, A. Zisserman. ECCV 2018

Learning to Separate Object Sounds by Watching Unlabeled Video. [pdf] [project]

Ruohan Gao, Rogerio Feris, Kristen Grauman. ECCV 2018

The Sound of Pixels. [pdf] [project]

Zhao, Hang and Gan, Chuang and Rouditchenko, Andrew and Vondrick, Carl and McDermott, Josh and Torralba, Antonio. ECCV 2018

Learnable PINs: Cross-Modal Embeddings for Person Identity. [pdf] [web]

Arsha Nagrani, Samuel Albanie, Andrew Zisserman. ECCV 2018

Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization. [pdf]

Bruno Korbar,Dartmouth College, Du Tran, Lorenzo Torresani. NIPS 2018

Self-Supervised Generation of Spatial Audio for 360° Video. [pdf]

Pedro Morgado, Nuno Nvasconcelos, Timothy Langlois, Oliver Wang. NIPS 2018

TriCycle: Audio Representation Learning from Sensor Network Data Using Self-Supervision [pdf]

Mark Cartwright, Jason Cramer, Justin Salamon, Juan Pablo Bello. WASPAA 2019

Self-supervised audio-visual co-segmentation [pdf]

Andrew Rouditchenko, Hang Zhao, Chuang Gan, Josh McDermott, and Antonio Torralba. ICASSP 2019

Does Visual Self-Supervision Improve Learning of Speech Representations? [pdf]

Abhinav Shukla, Stavros Petridis, Maja Pantic

Others

Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model. [pdf]

Qixiang Ye, Tianliang Zhang, Qiang Qiu, Baochang Zhang, Jie Chen, Guillermo Sapiro. CVPR 2017

Free Supervision from Video Games. [pdf] [project+code]

Philipp Krähenbühl. CVPR 2018

Fighting Fake News: Image Splice Detection via Learned Self-Consistency [pdf] [code]

Minyoung Huh*, Andrew Liu*, Andrew Owens, Alexei A. Efros. ECCV 2018

Self-supervised Tracking by Colorization (Tracking Emerges by Colorizing Videos). [pdf]

Carl Vondrick*, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy. ECCV 2018

High-Fidelity Image Generation With Fewer Labels. [pdf]

Mario Lucic*, Michael Tschannen*, Marvin Ritter*, Xiaohua Zhai, Olivier Bachem, Sylvain Gelly.

Self-supervised Fitting of Articulated Meshes to Point Clouds.

Chun-Liang Li, Tomas Simon, Jason Saragih, Barnabás Póczos and Yaser Sheikh. CVPR 2019

Just Go with the Flow: Self-Supervised Scene Flow Estimation [pdf] [code]

Himangi Mittal, Brian Okorn, David Held. CVPR 2020

SCOPS: Self-Supervised Co-Part Segmentation.

Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, and Jan Kautz. CVPR 2019

Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking.

Jae Shin Yoon; Takaaki Shiratori; Shoou-I Yu; Hyun Soo Park. CVPR 2019

Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations. [pdf] [code]

Wonhee Lee; Joonil Na; Gunhee Kim. CVPR 2019

Self-Supervised Convolutional Subspace Clustering Network.

Junjian Zhang; Chun-Guang Li; Chong You; Xianbiao Qi; Honggang Zhang; Jun Guo; Zhouchen Lin. CVPR 2019

Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation.

Xin Wang; Qiuyuan Huang; Asli Celikyilmaz; Jianfeng Gao; Dinghan Shen; Yuan-Fang Wang; William Yang Wang; Lei Zhang. CVPR 2019

Unsupervised 3D Pose Estimation With Geometric Self-Supervision.

Ching-Hang Chen; Ambrish Tyagi; Amit Agrawal; Dylan Drover; Rohith MV; Stefan Stojanov; James M. Rehg. CVPR 2019

Learning to Generate Grounded Image Captions without Localization Supervision. [pdf]

Chih-Yao Ma; Yannis Kalantidis; Ghassan AlRegib; Peter Vajda; Marcus Rohrbach; Zsolt Kira.

VideoBERT: A Joint Model for Video and Language Representation Learning [pdf]

Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid. ICCV 2019

Countering Noisy Labels By Learning From Auxiliary Clean Labels [pdf]

Tsung Wei Tsai, Chongxuan Li, Jun Zhu

机器学(Machine Learning)

Self-taught Learning: Transfer Learning from Unlabeled Data. [pdf]

Raina, Rajat and Battle, Alexis and Lee, Honglak and Packer, Benjamin and Ng, Andrew Y. ICML 2007

Representation Learning: A Review and New Perspectives. [pdf]

Bengio, Yoshua and Courville, Aaron and Vincent, Pascal. TPAMI 2013.

强化学习(Reinforcement Learning)

Curiosity-driven Exploration by Self-supervised Prediction. [pdf] [code]

Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, and Trevor Darrell. ICML 2017

Large-Scale Study of Curiosity-Driven Learning. [pdf]

Yuri Burda*, Harri Edwards*, Deepak Pathak*, Amos Storkey, Trevor Darrell and Alexei A. Efros

Playing hard exploration games by watching YouTube. [pdf]

Yusuf Aytar, Tobias Pfaff, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas. NIPS 2018

Unsupervised State Representation Learning in Atari. [pdf] [code]

Ankesh Anand, Evan Racah, Sherjil Ozair, Yoshua Bengio, Marc-Alexandre Côté, R Devon Hjelm. NeurIPS 2019

推荐系统(Recommendation Systems)

Self-supervised Learning for Deep Models in Recommendations. [pdf]

Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix Yu, Aditya Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi (Jay)Kang, Evan Ettinger Preprint 2020

Robotics

2006

Improving Robot Navigation Through Self-Supervised Online Learning [pdf]

Boris Sofman, Ellie Lin, J. Andrew Bagnell, Nicolas Vandapel, and Anthony Stentz

Reverse Optical Flow for Self-Supervised Adaptive Autonomous Robot Navigation [pdf]

A. Lookingbill, D. Lieb, J. Rogers and J. Curry

2009

Learning Long-Range Vision for Autonomous Off-Road Driving [pdf]

Raia Hadsell, Pierre Sermanet, Jan Ben, Ayse Erkan, Marco Scoffier, Koray Kavukcuoglu, Urs Muller, Yann LeCun

2012

Self-supervised terrain classification for planetary surface exploration rovers [pdf]

Christopher A. Brooks, Karl Iagnemma

2014

Terrain Traversability Analysis Using Multi-Sensor Data Correlation by a Mobile Robot [pdf]

Mohammed Abdessamad Bekhti, Yuichi Kobayashi and Kazuki Matsumura

Online self-supervised learning for dynamic object segmentation [pdf]

Vitor Guizilini and Fabio Ramos, The International Journal of Robotics Research

Self-Supervised Online Learning of Basic Object Push Affordances [pdf]

Barry Ridge, Ales Leonardis, Ales Ude, Miha Denisa, and Danijel Skocaj

Self-supervised learning of grasp dependent tool affordances on the iCub Humanoid robot [pdf]

Tanis Mar, Vadim Tikhanoff, Giorgio Metta, and Lorenzo Natale

Persistent self-supervised learning principle: from stereo to monocular vision for obstacle avoidance [pdf]

Kevin van Hecke, Guido de Croon, Laurens van der Maaten, Daniel Hennes, and Dario Izzo

The Curious Robot: Learning Visual Representations via Physical Interactions. [pdf]

Lerrel Pinto and Dhiraj Gandhi and Yuanfeng Han and Yong-Lae Park and Abhinav Gupta. ECCV 2016

Learning to Poke by Poking: Experiential Learning of Intuitive Physics. [pdf]

Agrawal, Pulkit and Nair, Ashvin V and Abbeel, Pieter and Malik, Jitendra and Levine, Sergey. NIPS 2016

Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours. [pdf]

Pinto, Lerrel and Gupta, Abhinav. ICRA 2016

Supervision via Competition: Robot Adversaries for Learning Tasks. [pdf]

Pinto, Lerrel and Davidson, James and Gupta, Abhinav. ICRA 2017

Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge. [pdf] [Project]

Andy Zeng, Kuan-Ting Yu, Shuran Song, Daniel Suo, Ed Walker Jr., Alberto Rodriguez, Jianxiong Xiao. ICRA 2017

Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation. [pdf] [Project]

Ashvin Nair*, Dian Chen*, Pulkit Agrawal*, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine. ICRA 2017

Learning to Fly by Crashing [pdf]

Dhiraj Gandhi, Lerrel Pinto, Abhinav Gupta IROS 2017

Self-supervised learning as an enabling technology for future space exploration robots: ISS experiments on monocular distance learning [pdf]

K. van Hecke, G. C. de Croon, D. Hennes, T. P. Setterfield, A. Saenz- Otero, and D. Izzo

Unsupervised Perceptual Rewards for Imitation Learning. [pdf] [project]

Sermanet, Pierre and Xu, Kelvin and Levine, Sergey. RSS 2017

Self-Supervised Visual Planning with Temporal Skip Connections. [pdf]

Frederik Ebert, Chelsea Finn, Alex X. Lee, Sergey Levine. CoRL2017

CASSL: Curriculum Accelerated Self-Supervised Learning. [pdf]

Adithyavairavan Murali, Lerrel Pinto, Dhiraj Gandhi, Abhinav Gupta. ICRA 2018

Time-Contrastive Networks: Self-Supervised Learning from Video. [pdf] [Project]

Pierre Sermanet and Corey Lynch and Yevgen Chebotar and Jasmine Hsu and Eric Jang and Stefan Schaal and Sergey Levine. ICRA 2018

Self-Supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation. [pdf]

Gregory Kahn, Adam Villaflor, Bosen Ding, Pieter Abbeel, Sergey Levine. ICRA 2018

Learning Actionable Representations from Visual Observations. [pdf] [Project]

Dwibedi, Debidatta and Tompson, Jonathan and Lynch, Corey and Sermanet, Pierre. IROS 2018

Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning. [pdf] [Project]

Andy Zeng, Shuran Song, Stefan Welker, Johnny Lee, Alberto Rodriguez, Thomas Funkhouser. IROS 2018

Visual Reinforcement Learning with Imagined Goals. [pdf] [Project]

Ashvin Nair*, Vitchyr Pong*, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine.NeurIPS 2018

Grasp2Vec: Learning Object Representations from Self-Supervised Grasping. [pdf] [Project]

Eric Jang*, Coline Devin*, Vincent Vanhoucke, Sergey Levine. CoRL 2018

Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning. [pdf] [Project]

Frederik Ebert, Sudeep Dasari, Alex X. Lee, Sergey Levine, Chelsea Finn. CoRL 2018

Learning Long-Range Perception Using Self-Supervision from Short-Range Sensors and Odometry. [pdf]

Mirko Nava, Jerome Guzzi, R. Omar Chavez-Garcia, Luca M. Gambardella, Alessandro Giusti. Robotics and Automation Letters

Learning Latent Plans from Play. [pdf] [Project]

Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet

Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning. [pdf]

Jannik Zuern, Wolfram Burgard, Abhinav Valada

Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video. [pdf] [Project]

Oier Mees, Markus Merklinger, Gabriel Kalweit, Wolfram Burgard ICRA 2020

自然语言处理(NLP)

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. [pdf] [link]

Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova. NAACL 2019 Best Long Paper

Self-Supervised Dialogue Learning [pdf]

Jiawei Wu, Xin Wang, William Yang Wang. ACL 2019

Self-Supervised Learning for Contextualized Extractive Summarization [pdf]

Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang. ACL 2019

A Mutual Information Maximization Perspective of Language Representation Learning [pdf]

Lingpeng Kong, Cyprien de Masson d'Autume, Lei Yu, Wang Ling, Zihang Dai, Dani Yogatama. ICLR 2020

VL-BERT: Pre-training of Generic Visual-Linguistic Representations [pdf] [code]

Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai. ICLR 2020

ASR

Learning Robust and Multilingual Speech Representations [pdf]

Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aaron van den Oord

Unsupervised pretraining transfers well across languages [pdf] [code]

Morgane Riviere, Armand Joulin, Pierre-Emmanuel Mazare, Emmanuel Dupoux

wav2vec: Unsupervised Pre-Training for Speech Recognition [pdf] [code]

Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli. INTERSPEECH 2019

vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations [pdf]

Alexei Baevski, Steffen Schneider, Michael Auli. ICLR 2020

Effectiveness of self-supervised pre-training for speech recognition [pdf]

Alexei Baevski, Michael Auli, Abdelrahman Mohamed, ICASSP 2020

Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning [pdf]

Alexander H. Liu, Tao Tu, Hung-yi Lee, Lin-shan Lee

Self-Training for End-to-End Speech Recognition [pdf]

Jacob Kahn, Ann Lee, Awni Hannun. ICASSP 2020

Generative Pre-Training for Speech with Autoregressive Predictive Coding [pdf] [code]

Yu-An Chung, James Glass. ICASSP 2020

Disentangled Speech Embeddings using Cross-modal Self-supervision [pdf]

Arsha Nagrani, Joon Son Chung, Samuel Albanie, Andrew Zisserman. ICASSP 2020

Multi-task self-supervised learning for robust speech recognition [pdf]

Mirco Ravanelli, Jianyuan Zhong, Santiago Pascual, Pawel Swietojanski, Joao Monteiro, Jan Trmal, Yoshua Bengio

Visually Guided Self Supervised Learning of Speech Representations [pdf]

Abhinav Shukla, Konstantinos Vougioukas, Pingchuan Ma, Stavros Petridis, Maja Pantic

Graph

Deep Graph Infomax [pdf] [code]

Petar Veličković, William Fedus, William L. Hamilton, Pietro Liò, Yoshua Bengio, R Devon Hjelm. ICLR 2019

When Does Self-Supervision Help Graph Convolutional Networks [pdf]

Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen. ICML 2020

Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels [pdf]

Ke Sun, Zhouchen Lin, Zhanxing Zhu. AAAI 2020

Gaining insight into SARS-CoV-2 infection and COVID-19 severity using self-supervised edge features and Graph Neural Networks [pdf]

Arijit Sehanobish, Neal G. Ravindra, David van Dijk. ICML 2020 Workshop

Deep Graph Contrastive Representation Learning [pdf] [code]

Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang. ICML 2020 Workshop

Contrastive Multi-View Representation Learning on Graphs [pdf]

Kaveh Hassani, Amir Hosein Khasahmadi. ICML 2020

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training [pdf]

Jiezhong Qiu, Qibin Chen, Yuxiao Dong. KDD 2020

GPT-GNN: Generative Pre-Training of Graph Neural Networks [pdf] [code]

Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun. KDD 2020

Self-supervised Learning on Graphs: Deep Insights and New Direction [pdf]

Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang.

Talks

The power of Self-Learning Systems. Demis Hassabis (DeepMind). [link]

Supersizing Self-Supervision: Learning Perception and Action without Human Supervision. Abhinav Gupta (CMU). [link]

Self-supervision, Meta-supervision, Curiosity: Making Computers Study Harder. Alyosha Efros (UCB) [link]

Unsupervised Visual Learning Tutorial. CVPR 2018 [part 1] [part 2]

Self-Supervised Learning. Andrew Zisserman (Oxford & Deepmind). [pdf]

Graph Embeddings, Content Understanding, & Self-Supervised Learning. Yann LeCun. (NYU & FAIR) [pdf] [video]

Self-supervised learning: could machines learn like humans? Yann LeCun @EPFL. [video]

Week 9 (b): CS294-158 Deep Unsupervised Learning(Spring 2019). Alyosha Efros @UC Berkeley. [video]

Thesis

Supervision Beyond Manual Annotations for Learning Visual Representations. Carl Doersch. [pdf].

Image Synthesis for Self-Supervised Visual Representation Learning. Richard Zhang. [pdf].

Visual Learning beyond Direct Supervision. Tinghui Zhou. [pdf].

Visual Learning with Minimal Human Supervision. Ishan Misra. [pdf].

Blog

Self-Supervised Representation Learning. Lilian Weng. [link].

Self Supervised Representation Learning in NLP. Amit Chaudhary. [link].

The Illustrated [Self-Supervised Learning], [SimCLR], [PIRL], [Self-Labelling], [FixMatch], [DeepCluster]. Amit Chaudhary.

Contrastive Self-Supervised Learning. Ankesh Anand. [link].

License

To the extent possible under law, Zhongzheng Ren has waived all copyright and related or neighboring rights to this work.

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