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Awesome Self-Supervised Learning

Posted by JY on June 4, 2020

Why Self-Supervised?

Self-Supervised Learning has become an exciting direction in AI community.

  • 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”

Table of Contents

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
  • 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
  • Rethinking Data Augmentation: Self-Supervision and Self-Distillation [pdf]
    • Hankook Lee, Sung Ju Hwang, Jinwoo Shin. ICLR 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]
    • Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey Hinton
  • 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]
    • 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

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
  • 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
  • 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
  • Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning. [pdf]
    • Jannik Zuern, Wolfram Burgard, Abhinav Valada

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, 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

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

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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