100+篇《自监督学习(Self-Supervised Learning)》论文最新合集
自监督学习(Self-Supervised Learning)是一种介于无监督和监督学习之间的一种新范式，旨在减少对大量带注释数据的挑战性需求。它通过定义无注释(annotation-free)的前置任务(pretext task)，为特征学习提供代理监督信号。jason718整理了关于自监督学习最新的论文合集，非常值得查看！
地址：
https://github.com/jason718/awesome-self-supervised-learning
Table of Contents
Computer Vision (CV)
Survey
Image Representation Learning
Video Representation Learning
Geometry
Audio
Others
Machine Learning
Reinforcement Learning
Robotics
Natural Language Processing (NLP)
Automatic Speech Recognition (ASR)
Talks
Thesis
Blog
Computer Vision
Survey
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey. [pdf]
Longlong Jing and Yingli Tian.
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]
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]
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
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
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
Automatic Shortcut Removal for Self-Supervised Representation Learning [pdf]
Matthias Minderer, Olivier Bachem, Neil Houlsby, Michael Tschannen
Momentum Contrast for Unsupervised Visual Representation Learning [pdf]
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross Girshick. FAIR
A Simple Framework for Contrastive Learning of Visual Representations [pdf]
Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey Hinton
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
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
Geometry
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 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]
Jiangliu Wang; Jianbo Jiao; Linchao Bao; Shengfeng He; Yunhui Liu; Wei Liu. CVPR 2019
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
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
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 GANs via Auxiliary Rotation Loss.
Ting Chen; Xiaohua Zhai; Marvin Ritter; Mario Lucic; Neil Houlsby. 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.
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
S4L: Self-Supervised Semi-Supervised Learning [pdf]
Xiaohua Zhai, Avital Oliver, Alexander Kolesnikov, Lucas Beyer
Countering Noisy Labels By Learning From Auxiliary Clean Labels [pdf]
Tsung Wei Tsai, Chongxuan Li, Jun Zhu
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.
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
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
2015
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
2016
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
2017
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
2018
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
2019
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
2020
Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video. [pdf] [Project]
Oier Mees, Markus Merklinger, Gabriel Kalweit, Wolfram Burgard ICRA 2020
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
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
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].
The Illustrated Self-Supervised Learning. Amit Chaudhary. [link]
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