diff --git a/LICENSE b/LICENSE
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+MIT License
+
+Copyright (c) 2020 Yassine Ouali
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/README.md b/README.md
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+# Awesome Semi-Supervised Learning [](https://awesome.re) [](https://opensource.org/licenses/MIT)
+
+
+ 
+
+
+A curated list of awesome Semi-Supervised Learning resources. Inspired by [awesome-domain-adaptation](https://github.com/kjw0612/awesome-deep-vision), [awesome-deep-learning-papers](https://github.com/terryum/awesome-deep-learning-papers), and [awesome-self-supervised-learning](https://github.com/jason718/awesome-self-supervised-learning)
+
+#### What is Self-Supervised Learning?
+
+#### Why Self-Supervised?
+
+## Contributing
+
+ 
+
+
+Please help contribute this list by contacting [me](https://yassouali.github.io/) or add [pull request](https://github.com/yassouali/awesome-semi-supervised-learning/pulls)
+
+Markdown format:
+```markdown
+- Paper Name.
+ [[pdf]](link)
+ [[code]](link)
+ - Author 1, Author 2, and Author 3. *Conference Year*
+```
+
+## Table of Contents
+ - [Computer Vision](#computer-vision)
+ - [Machine Learning](#machine-learning)
+ - [Reinforcement Learning](#reinforcement-learning)
+ - [Robotics](#robotics)
+ - [NLP](#nlp)
+ - [Talks](#talks)
+ - [Thesis](#thesis)
+ - [Blog](#blog)
+
+## Computer Vision
+Note that for Image and Object segmentation tasks, we also include weakly-supervised
+learning methods, that uses weak labels (eg, image classes) for object detaction or image
+segmentations.
+
+### Image Classification
+
+#### 2019
+
+- Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning.
+ [[pdf]](https://arxiv.org/abs/1909.01804)
+ [[code]](https://github.com/ZHKKKe/DualStudent)
+ - Zhanghan Ke, Daoye Wang, Qiong Yan, Jimmy Ren, Rynson W.H. Lau. *ICCV 2019*
+
+- S4L: Self-Supervised Semi-Supervised Learning.
+ [[pdf]](https://arxiv.org/abs/1905.03670)
+ [[code]](https://github.com/google-research/s4l)
+ - Xiaohua Zhai, Avital Oliver, Alexander Kolesnikov, Lucas Beyer. *ICCV 2019*
+
+- Semi-Supervised Learning by Augmented Distribution Alignment.
+ [[pdf]](https://arxiv.org/abs/1905.08171)
+ [[code]](https://github.com/qinenergy/adanet)
+ - Qin Wang, Wen Li, Luc Van Gool. *ICCV 2019*
+
+- Tangent-Normal Adversarial Regularization for Semi-Supervised Learning.
+ [[pdf]](https://arxiv.org/abs/1808.06088)
+ - Bing Yu, Jingfeng Wu, Jinwen Ma, Zhanxing Zhu. *CVPR 2019*
+
+- Label Propagation for Deep Semi-supervised Learning.
+ [[pdf]](https://arxiv.org/abs/1904.04717)
+ - Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum. *CVPR 2019*
+
+- Joint Representative Selection and Feature Learning: A Semi-Supervised Approach.
+ [[pdf]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Joint_Representative_Selection_and_Feature_Learning_A_Semi-Supervised_Approach_CVPR_2019_paper.pdf)
+ - Suchen Wang, Jingjing Meng, Junsong Yuan, Yap-Peng Tan. *CVPR 2019*
+
+- Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification.
+ [[pdf]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_Mutual_Learning_of_Complementary_Networks_via_Residual_Correction_for_Improving_CVPR_2019_paper.pdf)
+ - Si Wu, Jichang Li, Cheng Liu, Zhiwen Yu, Hau-San Wong. *CVPR 2019*
+
+#### 2018
+
+- Deep Co-Training for Semi-Supervised Image Recognition.
+ [[pdf]](https://arxiv.org/abs/1803.05984)[[code]](https://github.com/AlanChou/Deep-Co-Training-for-Semi-Supervised-Image-Recognition)
+ - Siyuan Qiao, Wei Shen, Zhishuai Zhang, Bo Wang, Alan Yuille. *ECCV 2018*
+
+- HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning.
+ [[pdf]](https://arxiv.org/abs/1807.11407)
+ - Thomas Robert, Nicolas Thome, Matthieu Cord . *ECCV 2018*
+
+- Transductive Centroid Projection for Semi-supervised Large-scale Recognition.
+ [[pdf]](http://openaccess.thecvf.com/content_ECCV_2018/papers/Yu_Liu_Transductive_Centroid_Projection_ECCV_2018_paper.pdf)
+ - Yu Liu, Guanglu Song, Jing Shao, Xiao Jin, Xiaogang Wang. *ECCV 2018*
+
+- Semi-Supervised Deep Learning with Memory.
+ [[pdf]](http://openaccess.thecvf.com/content_ECCV_2018/papers/Yanbei_Chen_Semi-Supervised_Deep_Learning_ECCV_2018_paper.pdf)
+ - Yanbei Chen, Xiatian Zhu, Shaogang Gong. *ECCV 2018*
+
+- SaaS: Speed as a Supervisorfor Semi-supervised Learning.
+ [[pdf]](http://openaccess.thecvf.com/content_ECCV_2018/papers/Safa_Cicek_SaaS_Speed_as_ECCV_2018_paper.pdf)
+ - Safa Cicek, Alhussein Fawzi and Stefano Soatto. *ECCV 2018*
+
+#### 2017
+
+- Learning by Association -- A Versatile Semi-Supervised Training Method for Neural Networks.
+ [[pdf]](http://openaccess.thecvf.com/content_cvpr_2017/papers/Haeusser_Learning_by_Association_CVPR_2017_paper.pdf)
+ - Philip Haeusser, Alexander Mordvintsev, Daniel Cremers. *CVPR 2017*
+
+#### 2015
+
+- Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning.
+ [[pdf]](http://openaccess.thecvf.com/content_iccv_2015/papers/Li_Learning_Semi-Supervised_Representation_ICCV_2015_paper.pdf)
+ - Chun-Guang Li, Zhouchen Lin, Honggang Zhang, Jun Guo. *ICCV 2015*
+
+- Semi-Supervised Low-Rank Mapping Learning for Multi-Label Classification.
+ [[pdf]](http://openaccess.thecvf.com/content_cvpr_2015/papers/Jing_Semi-Supervised_Low-Rank_Mapping_2015_CVPR_paper.pdf)
+ - Liping Jing, Liu Yang, Jian Yu, Michael K. Ng . *CVPR 2015*
+
+- Semi-Supervised Learning With Explicit Relationship Regularization.
+ [[pdf]](http://openaccess.thecvf.com/content_cvpr_2015/papers/Kim_Semi-Supervised_Learning_With_2015_CVPR_paper.pdf)
+ - Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt. *CVPR 2015*
+
+#### 2014
+
+- Semi-supervised Spectral Clustering for Image Set Classification.
+ [[pdf]](http://openaccess.thecvf.com/content_cvpr_2014/papers/Mahmood_Semi-supervised_Spectral_Clustering_2014_CVPR_paper.pdf)
+ - Arif Mahmood, Ajmal Mian, Robyn Owens. *CVPR 2014*
+
+#### 2013
+
+- Ensemble Projection for Semi-supervised Image Classification.
+ [[pdf]](http://openaccess.thecvf.com/content_iccv_2013/papers/Dai_Ensemble_Projection_for_2013_ICCV_paper.pdf)
+ - Dengxin Dai, Luc Van Gool. *ICCV 2013*
+
+- Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification.
+ [[pdf]](http://openaccess.thecvf.com/content_iccv_2013/papers/Wang_Dynamic_Label_Propagation_2013_ICCV_paper.pdf)
+ - Bo Wang, Zhuowen Tu, John K. Tsotsos. *ICCV 2013*
+
+
+### Generative Tasks
+
+#### 2019
+
+- Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification.
+ [[pdf]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_Enhancing_TripleGAN_for_Semi-Supervised_Conditional_Instance_Synthesis_and_Classification_CVPR_2019_paper.pdf)
+ - Si Wu, Guangchang Deng, Jichang Li, Rui Li, Zhiwen Yu, Hau-San Wong. *ECCV 2018*
+
+#### 2018
+
+- Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model.
+ [[pdf]](https://arxiv.org/abs/1804.03675)
+ [[code]](https://github.com/barisgecer/facegan)
+ - Baris Gecer, Binod Bhattarai, Josef Kittler, Tae-Kyun Kim. *ECCV 2018*
+
+#### 2017
+
+- Infinite Variational Autoencoder for Semi-Supervised Learning.
+ [[pdf]](https://arxiv.org/abs/1611.07800)
+ - Ehsan Abbasnejad, Anthony Dick, Anton van den Hengel. *CVPR 2017*
+
+### Image Retrieval
+
+#### 2018
+
+- Semi-Supervised Generative Adversarial Hashing for Image Retrieval.
+ [[pdf]](http://openaccess.thecvf.com/content_ECCV_2018/papers/Guanan_Wang_Semi-Supervised_Generative_Adversarial_ECCV_2018_paper.pdf)
+ - Guan'an Wang, Qinghao Hu, Jian Cheng, Zengguang Hou. *ECCV 2018*
+
+#### 2007
+
+- Semi-supervised Discriminant Analysis.
+ [[pdf]](http://www.cad.zju.edu.cn/home/dengcai/Publication/Conference/ICCV07_dengcai_SDA.pdf)
+ - Deng Cai, Xiaofei He, Jiawei Han. *ICCV 2007*
+
+### Semantic and Instance Segmentation
+
+#### 2019
+
+- CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing.
+ [[pdf]](http://openaccess.thecvf.com/content_ICCV_2019/papers/Duarte_CapsuleVOS_Semi-Supervised_Video_Object_Segmentation_Using_Capsule_Routing_ICCV_2019_paper.pdf)
+ [[code]](https://github.com/KevinDuarte/CapsuleVOS)
+ - Kevin Duarte, Yogesh S. Rawat, Mubarak Shah. *ICCV 2019*
+
+- Universal Semi-Supervised Semantic Segmentation.
+ [[pdf]](https://arxiv.org/abs/1811.10323)
+ [[code]](https://github.com/tarun005/USSS_ICCV19)
+ - Tarun Kalluri, Girish Varma, Manmohan Chandraker, C V Jawahar. *ICCV 2019*
+
+- Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images.
+ [[pdf]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Zhou_Collaborative_Learning_of_Semi-Supervised_Segmentation_and_Classification_for_Medical_Images_CVPR_2019_paper.pdf)
+ - Yi Zhou, Xiaodong He, Lei Huang, Li Liu, Fan Zhu, Shanshan Cui, Ling Shao. *CVPR 2019*
+
+- FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference.
+ [[pdf]](https://arxiv.org/abs/1902.10421)
+ - Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon. *CVPR 2019*
+
+#### 2018
+
+- Tell Me Where to Look: Guided Attention Inference Network.
+ [[pdf]](https://arxiv.org/abs/1802.10171)
+ - Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu. *CVPR 2018*
+
+- Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation.
+ [[pdf]](https://arxiv.org/abs/1805.04574)
+ - Yunchao Wei, Huaxin Xiao, Honghui Shi, Zequn Jie, Jiashi Feng, Thomas S. Huang. *CVPR 2018*
+
+- Weakly- and Semi-Supervised Panoptic Segmentation.
+ [[pdf]](https://arxiv.org/abs/1808.03575)
+ [[code]](https://github.com/qizhuli/Weakly-Supervised-Panoptic-Segmentation)
+ - Qizhu Li, Anurag Arnab, Philip H.S. Torr. *ECCV 2018*
+
+#### 2015
+
+- Semi-Supervised Normalized Cuts for Image Segmentation.
+ [[pdf]](http://openaccess.thecvf.com/content_iccv_2015/papers/Chew_Semi-Supervised_Normalized_Cuts_ICCV_2015_paper.pdf)
+ - Selene E. Chew, Nathan D. Cahill. *ICCV 2015*
+
+- Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation.
+ [[pdf]](https://arxiv.org/abs/1502.02734)
+ [[code]](https://github.com/TheLegendAli/DeepLab-Context)
+ - George Papandreou, Liang-Chieh Chen, Kevin Murphy, Alan L. Yuille. *ICCV 2015*
+
+#### 2016
+
+- SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation.
+ [[pdf]](https://arxiv.org/abs/1608.04051)
+ - Ting Liu, Miaomiao Zhang, Mehran Javanmardi, Nisha Ramesh, Tolga Tasdizen. *ECCV 2015*
+
+#### 2013
+
+- Semi-supervised Learning for Large Scale Image Cosegmentation.
+ [[pdf]](http://openaccess.thecvf.com/content_iccv_2013/papers/Wang_Semi-supervised_Learning_for_2013_ICCV_paper.pdf)
+ - Zhengxiang Wang, Rujie Liu. *ICCV 2013*
+
+
+
+
+
+
+
+
+
+
+
+### Object Detection
+
+#### 2019
+
+- NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection.
+ [[pdf]](http://openaccess.thecvf.com/content_ICCV_2019/papers/Gao_NOTE-RCNN_NOise_Tolerant_Ensemble_RCNN_for_Semi-Supervised_Object_Detection_ICCV_2019_paper.pdf)
+ - Jiyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li, Ram Nevatia. *ICCV 2019*
+
+- Semi-Supervised Video Salient Object Detection Using Pseudo-Labels.
+ [[pdf]](http://openaccess.thecvf.com/content_ICCV_2019/papers/Yan_Semi-Supervised_Video_Salient_Object_Detection_Using_Pseudo-Labels_ICCV_2019_paper.pdf)
+ - Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin. *ICCV 2019*
+
+- Transferable Semi-Supervised 3D Object Detection From RGB-D Data.
+ [[pdf]](http://openaccess.thecvf.com/content_cvpr_2016/papers/Tang_Large_Scale_Semi-Supervised_CVPR_2016_paper.pdf)
+ - Yew Siang Tang, Gim Hee Lee. *ICCV 2019*
+
+#### 2016
+
+- Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer.
+ [[pdf]](http://openaccess.thecvf.com/content_cvpr_2016/papers/Tang_Large_Scale_Semi-Supervised_CVPR_2016_paper.pdf)
+ - Yuxing Tang, Josiah Wang, Boyang Gao, Emmanuel Dellandrea, Robert Gaizauskas, Liming Chen. *CVPR 2016*
+
+#### 2015
+
+- Watch and Learn: Semi-Supervised Learning for Object Detectors From Video.
+ [[pdf]](http://openaccess.thecvf.com/content_cvpr_2015/papers/Misra_Watch_and_Learn_2015_CVPR_paper.pdf)
+ - Ishan Misra, Abhinav Shrivastava, Martial Hebert. *CVPR 2015*
+
+#### 2013
+
+- Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video.
+ [[pdf]](http://openaccess.thecvf.com/content_cvpr_2013/papers/Yang_Semi-supervised_Learning_of_2013_CVPR_paper.pdf)
+ - Yang Yang, Guang Shu, Mubarak Shah. *CVPR 2013*
+
+### Other tasks
+
+#### 2019
+
+- Semi-Supervised Monocular 3D Face Reconstruction With End-to-End Shape-Preserved Domain Transfer.
+ [[pdf]](http://openaccess.thecvf.com/content_ICCV_2019/papers/Piao_Semi-Supervised_Monocular_3D_Face_Reconstruction_With_End-to-End_Shape-Preserved_Domain_Transfer_ICCV_2019_paper.pdf)
+ - Jingtan Piao, Chen Qian, Hongsheng Li. *ICCV 2019*
+
+- SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation With Semi-Supervised Learning.
+ [[pdf]](http://openaccess.thecvf.com/content_ICCV_2019/papers/Chen_SO-HandNet_Self-Organizing_Network_for_3D_Hand_Pose_Estimation_With_Semi-Supervised_ICCV_2019_paper.pdf)
+ - Yujin Chen, Zhigang Tu, Liuhao Ge, Dejun Zhang, Ruizhi Chen, Junsong Yuan. *ICCV 2019*
+
+- Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement.
+ [[pdf]](http://openaccess.thecvf.com/content_ICCV_2019/papers/Wu_Semi-Supervised_Pedestrian_Instance_Synthesis_and_Detection_With_Mutual_Reinforcement_ICCV_2019_paper.pdf)
+ - Si Wu, Sihao Lin, Wenhao Wu, Mohamed Azzam, Hau-San Wong. *ICCV 2019*
+
+- Semi-Supervised Skin Detection by Network With Mutual Guidance.
+ [[pdf]](http://openaccess.thecvf.com/content_ICCV_2019/papers/He_Semi-Supervised_Skin_Detection_by_Network_With_Mutual_Guidance_ICCV_2019_paper.pdf)
+ - Yi He, Jiayuan Shi, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu, Jue Wang. *ICCV 2019*
+
+- MONET: Multiview Semi-Supervised Keypoint Detection via Epipolar Divergence.
+ [[pdf]](http://openaccess.thecvf.com/content_ICCV_2019/papers/Yao_MONET_Multiview_Semi-Supervised_Keypoint_Detection_via_Epipolar_Divergence_ICCV_2019_paper.pdf)
+ - Yuan Yao, Yasamin Jafarian, Hyun Soo Park. *ICCV 2019*
+
+- 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training.
+ [[pdf]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Pavllo_3D_Human_Pose_Estimation_in_Video_With_Temporal_Convolutions_and_CVPR_2019_paper.pdf)
+ - Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli. *CVPR 2019*
+
+- Semi-Supervised Transfer Learning for Image Rain Removal.
+ [[pdf]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Wei_Semi-Supervised_Transfer_Learning_for_Image_Rain_Removal_CVPR_2019_paper.pdf)
+ - Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu, Ying Wu. *CVPR 2019*
+
+- KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing.
+ [[pdf]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Qi_KE-GAN_Knowledge_Embedded_Generative_Adversarial_Networks_for_Semi-Supervised_Scene_Parsing_CVPR_2019_paper.pdf)
+ - Mengshi Qi, Yunhong Wang, Jie Qin, Annan Li. *CVPR 2019*
+
+#### 2018
+
+- Improving Landmark Localization With Semi-Supervised Learning.
+ [[pdf]](https://arxiv.org/abs/1709.01591)
+ - Sina Honari, Pavlo Molchanov, Stephen Tyree, Pascal Vincent, Christopher Pal, Jan Kautz. *CVPR 2018*
+
+#### 2017
+
+- Semi-Supervised Deep Learning for Monocular Depth Map Prediction.
+ [[pdf]](http://openaccess.thecvf.com/content_cvpr_2017/papers/Kuznietsov_Semi-Supervised_Deep_Learning_CVPR_2017_paper.pdf)
+ - Yevhen Kuznietsov, Jorg Stuckler, Bastian Leibe. *CVPR 2017*
+
+#### 2016
+
+- SemiContour: A Semi-Supervised Learning Approach for Contour Detection.
+ [[pdf]](http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_SemiContour_A_Semi-Supervised_CVPR_2016_paper.pdf)
+ - Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang. *CVPR 2016*
+
+- Semi-Supervised Vocabulary-Informed Learning
+ [[pdf]](http://openaccess.thecvf.com/content_cvpr_2016/papers/Fu_Semi-Supervised_Vocabulary-Informed_Learning_CVPR_2016_paper.pdf)
+ - Yanwei Fu, Leonid Sigal. *CVPR 2016*
+
+#### 2015
+
+- Adaptively Unified Semi-Supervised Dictionary Learning With Active Points.
+ [[pdf]](http://openaccess.thecvf.com/content_iccv_2015/papers/Wang_Adaptively_Unified_Semi-Supervised_ICCV_2015_paper.pdf)
+ - Xiaobo Wang, Xiaojie Guo, Stan Z. Li . *ICCV 2015*
+
+- Semi-Supervised Zero-Shot Classification With Label Representation Learning.
+ [[pdf]](http://openaccess.thecvf.com/content_iccv_2015/papers/Li_Semi-Supervised_Zero-Shot_Classification_ICCV_2015_paper.pdf)
+ - Xin Li, Yuhong Guo, Dale Schuurmans. *ICCV 2015*
+
+#### 2014
+
+- Semi-Supervised Coupled Dictionary Learning for Person Re-identification.
+ [[pdf]](http://openaccess.thecvf.com/content_cvpr_2014/papers/Liu_Semi-Supervised_Coupled_Dictionary_2014_CVPR_paper.pdf)
+ - Xiao Liu, Mingli Song, Dacheng Tao, Xingchen Zhou, Chun Chen, Jiajun Bu. *CVPR 2014*
+
+#### 2013
+
+- Semi-supervised Learning with Constraints for Person Identification in Multimedia Data.
+ [[pdf]](http://openaccess.thecvf.com/content_cvpr_2013/papers/Bauml_Semi-supervised_Learning_with_2013_CVPR_paper.pdf)
+ - Martin Bauml, Makarand Tapaswi, Rainer Stiefelhagen. *CVPR 2013*
+
+
+
+
+### Multi-modal SSL
+
+#### 2013
+
+- Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model.
+ [[pdf]](http://openaccess.thecvf.com/content_iccv_2013/papers/Cai_Heterogeneous_Image_Features_2013_ICCV_paper.pdf)
+ - Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang. *Conf*
+
+
+
+## Graph Based SSL
+
+#### 2019
+
+- Semi-Supervised Learning With Graph Learning-Convolutional Networks.
+ [[pdf]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Jiang_Semi-Supervised_Learning_With_Graph_Learning-Convolutional_Networks_CVPR_2019_paper.pdf)
+ - Bo Jiang, Ziyan Zhang, Doudou Lin, Jin Tang, Bin Luo. *CVPR 2019*
+
+- Label Efficient Semi-Supervised Learning via Graph Filtering.
+ [[pdf]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Label_Efficient_Semi-Supervised_Learning_via_Graph_Filtering_CVPR_2019_paper.pdf)
+ - Qimai Li, Xiao-Ming Wu, Han Liu, Xiaotong Zhang, Zhichao Guan. *CVPR 2019*
+
+#### 2018
+
+- Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning.
+ [[pdf]](https://arxiv.org/abs/1711.00258)
+ - Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang. *CVPR 2018*
+
+#### 2014
+
+- A Multigraph Representation for Improved Unsupervised/Semi-supervised Learning of Human Actions.
+ [[pdf]](http://openaccess.thecvf.com/content_cvpr_2014/papers/Jones_A_Multigraph_Representation_2014_CVPR_paper.pdf)
+ - Simon Jones, Ling Shao. *CVPR 2014*
+
+#### 2014
+
+- A Multigraph Representation for Improved Unsupervised/Semi-supervised Learning of Human Actions.
+ [[pdf]](http://openaccess.thecvf.com/content_cvpr_2014/papers/Jones_A_Multigraph_Representation_2014_CVPR_paper.pdf)
+ - Simon Jones, Ling Shao. *CVPR 2014*
+
+#### 2011
+
+- Unsupervised and semi-supervised learning via L1-norm graph.
+ [[pdf]](http://www.escience.cn/system/file?fileId=69891)
+ - Feiping Nie, Hua Wang, Heng Huang, Chris Ding. *ICCV 2011*
+
+## NLP
+
+## Theory
+
+## Talks
+
+## Thesis
+- xxxxx. Author. [[pdf]]().
+
+## Blog
+
+