@article{oehlert1992note,
  title={A note on the delta method},
  author={Oehlert, Gary W},
  journal={The American Statistician},
  volume={46},
  number={1},
  pages={27--29},
  year={1992},
  publisher={Taylor \& Francis}
}

@article{donsker1975asymptotic,
  title={Asymptotic evaluation of certain Markov process expectations for large time, I},
  author={Donsker, Monroe D and Varadhan, SR Srinivasa},
  journal={Communications on Pure and Applied Mathematics},
  volume={28},
  number={1},
  pages={1--47},
  year={1975},
  publisher={Wiley Online Library}
}

@inproceedings{barber2004information,
  author    = {David Barber and
               Felix V. Agakov},
  title     = {Information Maximization in Noisy Channels : {A} Variational Approach},
  booktitle = {Advances in Neural Information Processing Systems 16: Annual Conference
               on Neural Information Processing Systems {NeurIPS}},
  year      = {2003}
}

@article{nguyen2010estimating,
  author    = {XuanLong Nguyen and
               Martin J. Wainwright and
               Michael I. Jordan},
  title     = {Estimating Divergence Functionals and the Likelihood Ratio by Convex
               Risk Minimization},
  journal   = {{IEEE} Trans. Inf. Theory},
  volume    = {56},
  number    = {11},
  pages     = {5847--5861},
  year      = {2010}
}

@inproceedings{nowozin2016f,
  author    = {Sebastian Nowozin and
               Botond Cseke and
               Ryota Tomioka},
  title     = {f-GAN: Training Generative Neural Samplers using Variational Divergence
               Minimization},
  booktitle = {Advances in Neural Information Processing Systems 29: Annual Conference
               on Neural Information Processing Systems {NeurIPS}},
  year      = {2016}
}

% 2014
@inproceedings{goodfellow2014generative,
  author    = {Ian J. Goodfellow and
               Jean Pouget{-}Abadie and
               Mehdi Mirza and
               Bing Xu and
               David Warde{-}Farley and
               Sherjil Ozair and
               Aaron C. Courville and
               Yoshua Bengio},
  title     = {Generative Adversarial Nets},
  booktitle = {Advances in Neural Information Processing Systems 27: Annual Conference
               on Neural Information Processing Systems {NeurIPS}},
  year      = {2014}
}

% 2015
@inproceedings{ren2015faster,
  author    = {Shaoqing Ren and
               Kaiming He and
               Ross B. Girshick and
               Jian Sun},
  title     = {Faster {R-CNN:} Towards Real-Time Object Detection with Region Proposal
               Networks},
  booktitle = {Advances in Neural Information Processing Systems 28: Annual Conference
               on Neural Information Processing Systems {NeurIPS}},
  year      = {2015}
}

@inproceedings{tishby2015deep,
  author    = {Naftali Tishby and
               Noga Zaslavsky},
  title     = {Deep learning and the information bottleneck principle},
  booktitle = {{IEEE} Information Theory Workshop {ITW}},
  year      = {2015}
}

% 2016
@inproceedings{he2016deep,
  author    = {Kaiming He and
               Xiangyu Zhang and
               Shaoqing Ren and
               Jian Sun},
  title     = {Deep Residual Learning for Image Recognition},
  booktitle = {{IEEE} Conference on Computer Vision and Pattern Recognition {CVPR}},
  year      = {2016}
}

@inproceedings{chen2016infogan,
  author    = {Xi Chen and
               Yan Duan and
               Rein Houthooft and
               John Schulman and
               Ilya Sutskever and
               Pieter Abbeel},
  title     = {InfoGAN: Interpretable Representation Learning by Information Maximizing
               Generative Adversarial Nets},
  booktitle = {Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems {NeurIPS}},
  year      = {2016}
}

% 2017
@inproceedings{vaswani2017attention,
  author    = {Ashish Vaswani and
               Noam Shazeer and
               Niki Parmar and
               Jakob Uszkoreit and
               Llion Jones and
               Aidan N. Gomez and
               Lukasz Kaiser and
               Illia Polosukhin},
  title     = {Attention is All you Need},
  booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference
               on Neural Information Processing Systems {NeurIPS}},
  year      = {2017}
}

@article{shwartz2017opening,
  author    = {Ravid Shwartz{-}Ziv and
               Naftali Tishby},
  title     = {Opening the Black Box of Deep Neural Networks via Information},
  journal   = {CoRR},
  volume    = {abs/1703.00810},
  year      = {2017}
}

% 2018
@inproceedings{belghazi2018mutual,
  author    = {Mohamed Ishmael Belghazi and
               Aristide Baratin and
               Sai Rajeswar and
               Sherjil Ozair and
               Yoshua Bengio and
               R. Devon Hjelm and
               Aaron C. Courville},
  title     = {Mutual Information Neural Estimation},
  booktitle = {Proceedings of the 35th International Conference on Machine Learning {ICML}},
  year      = {2018}
}

@inproceedings{velivckovic2018deep,
  author    = {Petar Velickovic and
               William Fedus and
               William L. Hamilton and
               Pietro Li{\`{o}} and
               Yoshua Bengio and
               R. Devon Hjelm},
  title     = {Deep Graph Infomax},
  booktitle = {7th International Conference on Learning Representations {ICLR}},
  year      = {2019}
}

@article{oord2018representation,
  author    = {A{\"{a}}ron van den Oord and
               Yazhe Li and
               Oriol Vinyals},
  title     = {Representation Learning with Contrastive Predictive Coding},
  journal   = {CoRR},
  volume    = {abs/1807.03748},
  year      = {2018}
}

@inproceedings{mcallester2018formal,
  author    = {David McAllester and
               Karl Stratos},
  title     = {Formal Limitations on the Measurement of Mutual Information},
  booktitle = {The 23rd International Conference on Artificial Intelligence and Statistics {AISTATS}},
  year      = {2020}
}

@inproceedings{ravanelli2018learning,
  author    = {Mirco Ravanelli and
               Yoshua Bengio},
  title     = {Learning Speaker Representations with Mutual Information},
  booktitle = {20th Annual Conference of the International Speech Communication Association {Interspeech}},
  year      = {2019}
}

% 2019
@inproceedings{franccois2019combined,
  author    = {Vincent Fran{\c{c}}ois{-}Lavet and
               Yoshua Bengio and
               Doina Precup and
               Joelle Pineau},
  title     = {Combined Reinforcement Learning via Abstract Representations},
  booktitle = {Thirty-Third {AAAI} Conference on Artificial Intelligence {AAAI}},
  year      = {2019}
}

@inproceedings{saxe2019information,
  author    = {Andrew M. Saxe and
               Yamini Bansal and
               Joel Dapello and
               Madhu Advani and
               Artemy Kolchinsky and
               Brendan D. Tracey and
               David D. Cox},
  title     = {On the Information Bottleneck Theory of Deep Learning},
  booktitle = {6th International Conference on Learning Representations {ICLR}},
  year      = {2018}
}

@article{lin2019data,
  author    = {Xiao Lin and
               Indranil Sur and
               Samuel A. Nastase and
               Ajay Divakaran and
               Uri Hasson and
               Mohamed R. Amer},
  title     = {Data-Efficient Mutual Information Neural Estimator},
  journal   = {CoRR},
  volume    = {abs/1905.03319},
  year      = {2019}
}

@inproceedings{poole2019variational,
  author    = {Ben Poole and
               Sherjil Ozair and
               A{\"{a}}ron van den Oord and
               Alexander A. Alemi and
               George Tucker},
  title     = {On Variational Bounds of Mutual Information},
  booktitle = {Proceedings of the 36th International Conference on Machine Learning {ICML}},
  year      = {2019},
}

% 2020
@inproceedings{
    Song2020Understanding,
  author    = {Jiaming Song and
               Stefano Ermon},
  title     = {Understanding the Limitations of Variational Mutual Information Estimators},
  booktitle = {8th International Conference on Learning Representations {ICLR}},
  year      = {2020}
}

@incollection{butte1999mutual,
  author    = {Atul J Butte and
               Isaac S Kohane},
  title     = {Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements},
  booktitle={Biocomputing 2000},
  pages={418--429},
  publisher={World Scientific},
  year={1999}
}

@inproceedings{mukherjee2020ccmi,
  author    = {Sudipto Mukherjee and
               Himanshu Asnani and
               Sreeram Kannan},
  title     = {{CCMI} : Classifier based Conditional Mutual Information Estimation},
  booktitle = {Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence {UAI}},
  year      = {2019}
}

@article{lecun1998gradient,
  author    = {Yann LeCun and
               L{\'{e}}on Bottou and
               Yoshua Bengio and
               Patrick Haffner},
  title     = {Gradient-based learning applied to document recognition},
  journal   = {Proc. {IEEE}},
  volume    = {86},
  number    = {11},
  pages     = {2278--2324},
  year      = {1998},
}

@mastersthesis{krizhevsky2009learning,
  author={Alex Krizhevsky},
  title={Learning multiple layers of features from tiny images},
  school={Department
of Computer Science, University of Toronto},
  year={2009}
}

@inproceedings{jiao2018nearest,
  author    = {Jiantao Jiao and
               Weihao Gao and
               Yanjun Han},
  title     = {The Nearest Neighbor Information Estimator is Adaptively Near Minimax
               Rate-Optimal},
  booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference
               on Neural Information Processing Systems {NeurIPS}},
  year      = {2018}
}

@inproceedings{gao2017estimating,
  author    = {Weihao Gao and
               Sreeram Kannan and
               Sewoong Oh and
               Pramod Viswanath},
  title     = {Estimating Mutual Information for Discrete-Continuous Mixtures},
  booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference
               on Neural Information Processing Systems {NeurIPS}},
  year      = {2017}
}

@inproceedings{khosla2020supervised,
  author    = {Prannay Khosla and
               Piotr Teterwak and
               Chen Wang and
               Aaron Sarna and
               Yonglong Tian and
               Phillip Isola and
               Aaron Maschinot and
               Ce Liu and
               Dilip Krishnan},
  title     = {Supervised Contrastive Learning},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference
               on Neural Information Processing Systems {NeurIPS}},
  year      = {2020}
}

@inproceedings{chen2020simple,
  author    = {Ting Chen and
               Simon Kornblith and
               Mohammad Norouzi and
               Geoffrey E. Hinton},
  title     = {A Simple Framework for Contrastive Learning of Visual Representations},
  booktitle = {Proceedings of the 37th International Conference on Machine Learning {ICML}},
  year      = {2020}
}

@inproceedings{hjelm2019learning,
  author    = {R. Devon Hjelm and
               Alex Fedorov and
               Samuel Lavoie{-}Marchildon and
               Karan Grewal and
               Philip Bachman and
               Adam Trischler and
               Yoshua Bengio},
  title     = {Learning deep representations by mutual information estimation and
               maximization},
  booktitle = {7th International Conference on Learning Representations {ICLR}},
  year      = {2019}
}

@inproceedings{he2020momentum,
  author    = {Kaiming He and
               Haoqi Fan and
               Yuxin Wu and
               Saining Xie and
               Ross B. Girshick},
  title     = {Momentum Contrast for Unsupervised Visual Representation Learning},
  booktitle = {{IEEE/CVF} Conference on Computer Vision and Pattern Recognition {CVPR}},
  year      = {2020}
}

@inproceedings{hendrycks2017baseline,
  author    = {Dan Hendrycks and
               Kevin Gimpel},
  title     = {A Baseline for Detecting Misclassified and Out-of-Distribution Examples
               in Neural Networks},
  booktitle = {5th International Conference on Learning Representations {ICLR}},
  year      = {2017}
}

@InProceedings{pmlr-v119-cheng20b, 
  author    = {Pengyu Cheng and
               Weituo Hao and
               Shuyang Dai and
               Jiachang Liu and
               Zhe Gan and
               Lawrence Carin},
  title     = {{CLUB:} {A} Contrastive Log-ratio Upper Bound of Mutual Information},
  booktitle = {Proceedings of the 37th International Conference on Machine Learning {ICML}},
  year      = {2020}
}

@inproceedings{DBLP:conf/iclr/TschannenDRGL20,
  author    = {Michael Tschannen and
               Josip Djolonga and
               Paul K. Rubenstein and
               Sylvain Gelly and
               Mario Lucic},
  title     = {On Mutual Information Maximization for Representation Learning},
  booktitle = {8th International Conference on Learning Representations {ICLR}},
  year      = {2020}
}

@inproceedings{DBLP:conf/iclr/WenZHZX20,
  author    = {Liangjian Wen and
               Yiji Zhou and
               Lirong He and
               Mingyuan Zhou and
               Zenglin Xu},
  title     = {Mutual Information Gradient Estimation for Representation Learning},
  booktitle = {8th International Conference on Learning Representations {ICLR}},
  year      = {2020}
}

@article{DBLP:journals/corr/abs-2101-02083,
  author    = {Hiroaki Sasaki and
               Takashi Takenouchi},
  title     = {A unified view for unsupervised representation learning with density
               ratio estimation: Maximization of mutual information, nonlinear {ICA}
               and nonlinear subspace estimation},
  journal   = {CoRR},
  volume    = {abs/2101.02083},
  year      = {2021}
}

@inproceedings{DBLP:conf/eccv/TianKI20,
  author    = {Yonglong Tian and
               Dilip Krishnan and
               Phillip Isola},
  title     = {Contrastive Multiview Coding},
  booktitle = {16th European Conference on Computer Vision {ECCV}},
  year      = {2020}
}

@inproceedings{DBLP:conf/nips/Tian0PKSI20,
  author    = {Yonglong Tian and
               Chen Sun and
               Ben Poole and
               Dilip Krishnan and
               Cordelia Schmid and
               Phillip Isola},
  title     = {What Makes for Good Views for Contrastive Learning?},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference
               on Neural Information Processing Systems {NeurIPS}},
  year      = {2020}
}

@article{DBLP:journals/corr/abs-2009-05241,
  author    = {Tianhao Wang and
               Yuheng Zhang and
               Ruoxi Jia},
  title     = {Improving Robustness to Model Inversion Attacks via Mutual Information
               Regularization},
  booktitle = {Thirty-Fifth {AAAI} Conference on Artificial Intelligence {AAAI}},
  year      = {2021}
}

@article{DBLP:journals/corr/abs-2006-08344,
  author    = {Tim Z. Xiao and
               Aidan N. Gomez and
               Yarin Gal},
  title     = {Wat zei je? Detecting Out-of-Distribution Translations with Variational
               Transformers},
  journal   = {CoRR},
  volume    = {abs/2006.08344},
  year      = {2020}
}

@inproceedings{DBLP:conf/ita/SheikholeslamiJ20,
  author    = {Fatemeh Sheikholeslami and
               Swayambhoo Jain and
               Georgios B. Giannakis},
  title     = {Minimum Uncertainty Based Detection of Adversaries in Deep Neural
               Networks},
  booktitle = {Information Theory and Applications Workshop, {ITA} 2020},
  publisher = {{IEEE}},
  year      = {2020}
}

@inproceedings{DBLP:conf/nips/OjhaSHL20,
  author    = {Utkarsh Ojha and
               Krishna Kumar Singh and
               Cho{-}Jui Hsieh and
               Yong Jae Lee},
  title     = {Elastic-InfoGAN: Unsupervised Disentangled Representation Learning
               in Class-Imbalanced Data},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference
               on Neural Information Processing Systems {NeurIPS}},
  year      = {2020}
}

@article{DBLP:journals/kbs/LiLNCC21,
  author    = {Wei Li and
               Zhixuan Liang and
               Julian Neuman and
               Jinlin Chen and
               Xiaohui Cui},
  title     = {Multi-generator {GAN} learning disconnected manifolds with mutual
               information},
  journal   = {Knowl. Based Syst.},
  volume    = {212},
  pages     = {106513},
  year      = {2021}
}

@article{DBLP:journals/corr/abs-2005-13149,
  author    = {Mike Wu and
               Chengxu Zhuang and
               Milan Mosse and
               Daniel Yamins and
               Noah D. Goodman},
  title     = {On Mutual Information in Contrastive Learning for Visual Representations},
  journal   = {CoRR},
  volume    = {abs/2005.13149},
  year      = {2020}
}

@inproceedings{jeon2021ib,
  author    = {Insu Jeon and 
               Wonkwang Lee and
               Myeongjang Pyeon and
               Gunhee Kim},
  title     = {Ib-gan: Disengangled representation learning with information bottleneck generative adversarial networks},
  booktitle = {Thirty-Fifth {AAAI} Conference on Artificial Intelligence {AAAI}},
  year      = {2021}
}

@inproceedings{DBLP:conf/eccv/BoudiafRZGPPA20,
  author    = {Malik Boudiaf and
               J{\'{e}}r{\^{o}}me Rony and
               Imtiaz Masud Ziko and
               Eric Granger and
               Marco Pedersoli and
               Pablo Piantanida and
               Ismail Ben Ayed},
  title     = {A Unifying Mutual Information View of Metric Learning: Cross-Entropy
               vs. Pairwise Losses},
  booktitle = {16th European Conference on Computer Vision {ECCV}},
  year      = {2020}
}

@article{DBLP:journals/corr/abs-2101-05022,
  author    = {Sangdoo Yun and
               Seong Joon Oh and
               Byeongho Heo and
               Dongyoon Han and
               Junsuk Choe and
               Sanghyuk Chun},
  title     = {Re-Labeling ImageNet: From Single to Multi-Labels, From Global to
               Localized Labels},
  booktitle = {{IEEE} Conference on Computer Vision and Pattern Recognition {CVPR}},
  year      = {2021}
}

@article{DBLP:journals/corr/abs-2105-04906,
  author    = {Adrien Bardes and
               Jean Ponce and
               Yann LeCun},
  title     = {VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised
               Learning},
  journal   = {CoRR},
  volume    = {abs/2105.04906},
  year      = {2021}
}

@inproceedings{DBLP:journals/corr/abs-2005-04966,
  author    = {Junnan Li and
               Pan Zhou and
               Caiming Xiong and
               Steven C. H. Hoi},
  title     = {Prototypical Contrastive Learning of Unsupervised Representations},
  booktitle = {9th International Conference on Learning Representations {ICLR}},
  year = {2021}
}

@inproceedings{NEURIPS2019_9015,
  title = {PyTorch: An Imperative Style, High-Performance Deep Learning Library},
  author = {Paszke, Adam and Gross, Sam and Massa, Francisco and Lerer, Adam and Bradbury, James and Chanan, Gregory and Killeen, Trevor and Lin, Zeming and Gimelshein, Natalia and Antiga, Luca and Desmaison, Alban and Kopf, Andreas and Yang, Edward and DeVito, Zachary and Raison, Martin and Tejani, Alykhan and Chilamkurthy, Sasank and Steiner, Benoit and Fang, Lu and Bai, Junjie and Chintala, Soumith},
  booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems {NeurIPS}},
  year      = {2019}
}

@article{DBLP:journals/corr/abs-2101-07525,
  author    = {Zeming Li and
               Songtao Liu and
               Jian Sun},
  title     = {Momentum{\^{}}2 Teacher: Momentum Teacher with Momentum Statistics
               for Self-Supervised Learning},
  journal   = {CoRR},
  volume    = {abs/2101.07525},
  year      = {2021}
}

@inproceedings{DBLP:journals/corr/abs-2104-14548,
  author    = {Debidatta Dwibedi and
               Yusuf Aytar and
               Jonathan Tompson and
               Pierre Sermanet and
               Andrew Zisserman},
  title     = {With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning
               of Visual Representations},
  booktitle = {{IEEE/CVF} International Conference on Computer Vision {ICCV}},
  year      = {2021}
}

@inproceedings{Ruderman2012TighterVR,
  author    = {Avraham Ruderman and
               Mark D. Reid and
               Dario Garc{\'{\i}}a{-}Garc{\'{\i}}a and
               James Petterson},
  title     = {Tighter Variational Representations of f-Divergences via Restriction
               to Probability Measures},
  booktitle = {Proceedings of the 29th International Conference on Machine Learning {ICML}},
  year      = {2012}
}

@article{polyanskiy2014lecture,
  author={Yury Polyanskiy and 
          Yihong Wu},
  title={Lecture notes on information theory},
  journal={Lecture Notes for ECE563 (UIUC)},
  volume={6},
  number={2012-2016},
  pages={7},
  year={2014},
  publisher={Citeseer}
}

@book{hiriart2004fundamentals,
  author={Jean-Baptiste Hiriart-Urruty and 
          Claude Lemar{\'e}chal},
  title={Fundamentals of convex analysis},
  year={2004},
  publisher={Springer Science \& Business Media}
}

@inproceedings{DBLP:conf/nips/RichterBNRA20,
  author    = {Lorenz Richter and
               Ayman Boustati and
               Nikolas N{\"{u}}sken and
               Francisco J. R. Ruiz and
               {\"{O}}mer Deniz Akyildiz},
  title     = {VarGrad: {A} Low-Variance Gradient Estimator for Variational Inference},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference
               on Neural Information Processing Systems {NeurIPS}},
  year      = {2020}
}

@inproceedings{DBLP:conf/nips/ChavdarovaGFL19,
  author    = {Tatjana Chavdarova and
               Gauthier Gidel and
               Fran{\c{c}}ois Fleuret and
               Simon Lacoste{-}Julien},
  title     = {Reducing Noise in {GAN} Training with Variance Reduced Extragradient},
  booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference
               on Neural Information Processing Systems {NeurIPS}},
  year      = {2019}
}

@inproceedings{DBLP:conf/cogsci/BearC20,
  author    = {Adam Bear and
               Fiery Cushman},
  title     = {Loss Functions Modulate the Optimal Bias-Variance Trade-off},
  booktitle = {Proceedings of the 42th Annual Meeting of the Cognitive Science Society
               - Developing a Mind: Learning in Humans, Animals, and Machines {CogSci}},
  year      = {2020}
}

@inproceedings{DBLP:conf/iclr/RothfussLCAA19,
  author    = {Jonas Rothfuss and
               Dennis Lee and
               Ignasi Clavera and
               Tamim Asfour and
               Pieter Abbeel},
  title     = {ProMP: Proximal Meta-Policy Search},
  booktitle = {7th International Conference on Learning Representations {ICLR}},
  year      = {2019},
}

@article{DBLP:journals/jr/ZengWW20,
  author    = {Fanyu Zeng and
               Chen Wang and
               Weitian Wang},
  title     = {Visual Navigation with Asynchronous Proximal Policy Optimization in
               Artificial Agents},
  journal   = {J. Robotics},
  volume    = {2020},
  pages     = {8702962:1--8702962:7},
  year      = {2020}
}

@inproceedings{DBLP:conf/acl/ColomboPC20,
  author    = {Pierre Colombo and
               Pablo Piantanida and
               Chlo{\'{e}} Clavel},
  title     = {A Novel Estimator of Mutual Information for Learning to Disentangle
               Textual Representations},
  booktitle = {Proceedings of the 59th Annual Meeting of the Association for Computational
               Linguistics and the 11th International Joint Conference on Natural
               Language Processing, {ACL/IJCNLP}},
  year      = {2021}
}

@book{def_support,
  author    = {Marco Taboga},
  title     = {Support of a random variable},
  booktitle = {Lectures on probability theory and mathematical statistics},
  publisher = {Kindle Direct Publishing},
  year      = {2021},
  url       = {https://www.statlect.com/glossary/support-of-a-random-variable}
}

@inproceedings{DBLP:conf/cvpr/DengDSLL009,
  author    = {Jia Deng and
               Wei Dong and
               Richard Socher and
               Li{-}Jia Li and
               Kai Li and
               Li Fei{-}Fei},
  title     = {ImageNet: {A} large-scale hierarchical image database},
  booktitle = {{IEEE} Computer Society Conference on Computer Vision and Pattern Recognition {CVPR}},
  year      = {2009}
}

@inproceedings{caron2021emerging,
  author    = {Mathilde Caron and
               Hugo Touvron and
               Ishan Misra and
               Herv{\'{e}} J{\'{e}}gou and
               Julien Mairal and
               Piotr Bojanowski and
               Armand Joulin},
  title     = {Emerging Properties in Self-Supervised Vision Transformers},
  booktitle = {{IEEE/CVF} International Conference on Computer Vision {ICCV}},
  year      = {2021}
}

@inproceedings{DBLP:conf/nips/ChuangRL0J20,
  author    = {Ching{-}Yao Chuang and
               Joshua Robinson and
               Yen{-}Chen Lin and
               Antonio Torralba and
               Stefanie Jegelka},
  title     = {Debiased Contrastive Learning},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems {NeurIPS}},
  year      = {2020}
}

@inproceedings{DBLP:conf/icml/Henaff20,
  author    = {Olivier J. H{\'{e}}naff},
  title     = {Data-Efficient Image Recognition with Contrastive Predictive Coding},
  booktitle = {Proceedings of the 37th International Conference on Machine Learning {ICML}},
  year      = {2020}
}