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Smooth Neighbors on Teacher Graphs for Semi-supervised Learning

1 November 2017

Jun Zhu

Papers citing "Smooth Neighbors on Teacher Graphs for Semi-supervised Learning"

50 / 118 papers shown

Title
Ranking Neural Checkpoints Yandong Li Xuhui Jia Ruoxin Sang Yukun Zhu Bradley Green Liqiang Wang Boqing Gong FedML ELM UQCV 112 49 0 23 Nov 2020
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization Junnan Li Caiming Xiong Guosheng Lin SSL 98 264 0 23 Nov 2020
Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining Zijun Sun Chun Fan Xiaofei Sun Yuxian Meng Leilei Gan Jiwei Li 54 9 0 17 Nov 2020
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization P. Gyawali S. Ghimire Linwei Wang AAML 60 7 0 23 Sep 2020
Role of Orthogonality Constraints in Improving Properties of Deep Networks for Image Classification Hongjun Choi Anirudh Som Pavan Turaga 54 8 0 22 Sep 2020
Learning to Learn in a Semi-Supervised Fashion Yun-Chun Chen Chao-Te Chou Y. Wang SSL 94 6 0 25 Aug 2020
Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics Dou Xu Changzhi Cai Chaowei Fang Bin Kong Jihua Zhu Zhongyu Li OOD MedIm 24 0 0 21 Aug 2020
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning Zhanghan Ke Di Qiu Kaican Li Qiong Yan Rynson W. H. Lau 89 253 0 12 Aug 2020
Cosine-Distance Virtual Adversarial Training for Semi-Supervised Speaker-Discriminative Acoustic Embeddings Florian Kreyssig P. Woodland 52 5 0 09 Aug 2020
Recognition-Synthesis Based Non-Parallel Voice Conversion with Adversarial Learning Jing-Xuan Zhang Zhenhua Ling Lirong Dai 81 6 0 05 Aug 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 141 161 0 21 Jul 2020
Improving Object Detection with Selective Self-supervised Self-training Yandong Li Di Huang Danfeng Qin Liqiang Wang Boqing Gong 115 65 0 17 Jul 2020
Provably Consistent Partial-Label Learning Lei Feng Jiaqi Lv Bo Han Miao Xu Gang Niu Xin Geng Bo An Masashi Sugiyama 72 150 0 17 Jul 2020
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning Chia-Wen Kuo Chih-Yao Ma Jia-Bin Huang Z. Kira 92 121 0 16 Jul 2020
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning Yulin Wang Jiayi Guo Shiji Song Gao Huang 79 27 0 05 Jul 2020
Deep Partition Aggregation: Provable Defense against General Poisoning Attacks Alexander Levine Soheil Feizi AAML 65 148 0 26 Jun 2020
Joint Contrastive Learning for Unsupervised Domain Adaptation Changhwa Park Jonghyun Lee Jaeyoon Yoo Minhoe Hur Sungroh Yoon 76 37 0 18 Jun 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Nayeon Lee Huayu Chen Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 112 654 0 11 Jun 2020
ADMP: An Adversarial Double Masks Based Pruning Framework For Unsupervised Cross-Domain Compression Xiaoyu Feng Zhuqing Yuan Guijin Wang Yongpan Liu 44 5 0 07 Jun 2020
Semi-supervised Medical Image Classification with Global Latent Mixing P. Gyawali S. Ghimire Pradeep Bajracharya Zhiyuan Li Linwei Wang 71 36 0 22 May 2020
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification Hongjun Choi Anirudh Som Pavan Turaga 39 25 0 21 Apr 2020
Local Clustering with Mean Teacher for Semi-supervised Learning Zexi Chen B. Dutton B. Ramachandra Tianfu Wu Ranga Raju Vatsavai 57 7 0 20 Apr 2020
Density-Aware Graph for Deep Semi-Supervised Visual Recognition Suichan Li B. Liu Dongdong Chen Qi Chu Lu Yuan Nenghai Yu 77 30 0 30 Mar 2020
Gradient-based Data Augmentation for Semi-Supervised Learning H. Kaizuka 35 2 0 28 Mar 2020
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations Shuhao Cui Shuhui Wang Junbao Zhuo Liang Li Qingming Huang Q. Tian 92 369 0 27 Mar 2020
Milking CowMask for Semi-Supervised Image Classification Geoff French Avital Oliver Tim Salimans 97 53 0 26 Mar 2020
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering Hui Tang Ke Chen Kui Jia CML OOD 78 274 0 19 Mar 2020
Incremental Object Detection via Meta-Learning K. J. Joseph Jathushan Rajasegaran Salman Khan Fahad Shahbaz Khan V. Balasubramanian ObjD CLL VLM 223 102 0 17 Mar 2020
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes Jilin Hu Jianbing Shen B. Yang Ling Shao BDL GNN 92 18 0 26 Feb 2020
End-To-End Graph-based Deep Semi-Supervised Learning Zihao Wang E. Tu Meng Zhou 29 0 0 23 Feb 2020
Class-Imbalanced Semi-Supervised Learning Minsung Hyun Jisoo Jeong Nojun Kwak 60 49 0 17 Feb 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking Geoff Pleiss Tianyi Zhang Ethan R. Elenberg Kilian Q. Weinberger NoLa 137 274 0 28 Jan 2020
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning Paola Cascante-Bonilla Fuwen Tan Yanjun Qi Vicente Ordonez ODL 109 23 0 16 Jan 2020
Adversarial Feature Distribution Alignment for Semi-Supervised Learning Christoph Mayer M. Paul Radu Timofte 80 12 0 22 Dec 2019
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 78 42 0 20 Dec 2019
Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy Ke Sun Bin Yu Zhouchen Lin Zhanxing Zhu 132 5 0 21 Nov 2019
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation Pierrick Coupé Boris Mansencal Michael Clement Rémi Giraud B. D. D. Senneville T. Thong Vincent Lepetit J. V. Manjón 137 118 0 20 Nov 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 363 2,396 0 11 Nov 2019
Mixup-breakdown: a consistency training method for improving generalization of speech separation models Max W. Y. Lam Jun Wang Dan Su Dong Yu 92 23 0 28 Oct 2019
Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach Nan Lu Tianyi Zhang Gang Niu Masashi Sugiyama 112 56 0 20 Oct 2019
SELF: Learning to Filter Noisy Labels with Self-Ensembling Philipp Kratzer Marc Toussaint Thi Phuong Nhung Ngo T. Nguyen Jim Mainprice Thomas Brox NoLa 96 317 0 04 Oct 2019
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation Shuyang Dai Yu Cheng Yizhe Zhang Zhe Gan Jingjing Liu Lawrence Carin 61 29 0 11 Sep 2019
Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets Yang Li Jianhe Yuan Zhiqun Zhao Hao Sun Zhihai He 46 6 0 04 Sep 2019
Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Zhanghan Ke Daoye Wang Qiong Yan Jimmy S. J. Ren Rynson W. H. Lau 75 216 0 03 Sep 2019
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 357 799 0 26 Aug 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 136 848 0 08 Aug 2019
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning Phi Vu Tran SSL 53 16 0 25 Jun 2019
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy Angelica I. Aviles-Rivero Nicolas Papadakis Ruoteng Li P. Sellars Samar M. Alsaleh R. Tan Carola-Bibiane Schönlieb 71 3 0 20 Jun 2019
Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification Chia-Wen Kuo Chih-Yao Ma Jia-Bin Huang Z. Kira 52 2 0 12 Jun 2019
Semi-supervised semantic segmentation needs strong, varied perturbations Geoff French S. Laine Timo Aila Michal Mackiewicz G. Finlayson 117 29 0 05 Jun 2019