Interpolation Consistency Training for Semi-Supervised Learning

9 March 2019

Arno Solin

Papers citing "Interpolation Consistency Training for Semi-Supervised Learning"

50 / 322 papers shown

Title
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning Zexi Chen B. Ramachandra Ranga Raju Vatsavai GAN 23 1 0 08 Jul 2020
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks Yan Liu Lingqiao Liu Peng Wang Pingping Zhang Yinjie Lei SSL 17 75 0 07 Jul 2020
Dual Mixup Regularized Learning for Adversarial Domain Adaptation Yuan Wu Diana Inkpen Ahmed El-Roby 12 167 0 07 Jul 2020
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning Yulin Wang Jiayi Guo Shiji Song Gao Huang 16 26 0 05 Jul 2020
Deep Partition Aggregation: Provable Defense against General Poisoning Attacks Alexander Levine S. Feizi AAML 11 144 0 26 Jun 2020
Target Consistency for Domain Adaptation: when Robustness meets Transferability Yassine Ouali Victor Bouvier Myriam Tami C´eline Hudelot OOD 19 3 0 25 Jun 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning Yuzhe Yang Zhi Xu SSL 9 401 0 13 Jun 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Tsung-Yi Lin Yin Cui Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 36 645 0 11 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 21 294 0 09 Jun 2020
Interpolation-based semi-supervised learning for object detection Jisoo Jeong Vikas Verma Minsung Hyun Juho Kannala Nojun Kwak 34 73 0 03 Jun 2020
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification Jiaao Chen Zichao Yang Diyi Yang VLM 28 355 0 25 Apr 2020
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals Dani Kiyasseh T. Zhu David A. Clifton 6 1 0 20 Apr 2020
MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning Tong Wei Feng Shi Hai Wang Wei-Wei Tu. Yu-Feng Li 6 11 0 20 Apr 2020
A non-cooperative meta-modeling game for automated third-party calibrating, validating, and falsifying constitutive laws with parallelized adversarial attacks Kun Wang WaiChing Sun Q. Du 14 22 0 13 Apr 2020
Density-Aware Graph for Deep Semi-Supervised Visual Recognition Suichan Li B. Liu Dongdong Chen Qi Chu Lu Yuan Nenghai Yu 26 29 0 30 Mar 2020
Gradient-based Data Augmentation for Semi-Supervised Learning H. Kaizuka 25 2 0 28 Mar 2020
Milking CowMask for Semi-Supervised Image Classification Geoff French Avital Oliver Tim Salimans 17 51 0 26 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 253 656 0 23 Mar 2020
Semi-supervised Contrastive Learning Using Partial Label Information Colin B. Hansen V. Nath Diego A. Mesa Yuankai Huo Bennett A. Landman Thomas A. Lasko SSL 15 0 0 17 Mar 2020
Mixup Regularization for Region Proposal based Object Detectors S. Bouabid V. Delaitre ObjD 20 5 0 04 Mar 2020
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs Huy Hoang Nguyen S. Saarakkala Matthew Blaschko A. Tiulpin 22 37 0 04 Mar 2020
A U-Net Based Discriminator for Generative Adversarial Networks Edgar Schönfeld Bernt Schiele Anna Khoreva GAN 30 291 0 28 Feb 2020
End-To-End Graph-based Deep Semi-Supervised Learning Zihao W. Wang E. Tu Meng Zhou 18 0 0 23 Feb 2020
A survey on Semi-, Self- and Unsupervised Learning for Image Classification Lars Schmarje M. Santarossa Simon-Martin Schroder Reinhard Koch SSL VLM 17 161 0 20 Feb 2020
Do We Need Zero Training Loss After Achieving Zero Training Error? Takashi Ishida Ikko Yamane Tomoya Sakai Gang Niu Masashi Sugiyama AI4CE 49 134 0 20 Feb 2020
Class-Imbalanced Semi-Supervised Learning Minsung Hyun Jisoo Jeong Nojun Kwak 4 49 0 17 Feb 2020
Hodge and Podge: Hybrid Supervised Sound Event Detection with Multi-Hot MixMatch and Composition Consistence Training Ziqiang Shi Liu Liu Huibin Lin Rujie Liu 6 2 0 13 Feb 2020
Topologically Densified Distributions Christoph Hofer Florian Graf Marc Niethammer Roland Kwitt 27 15 0 12 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 71 3,464 0 21 Jan 2020
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning Paola Cascante-Bonilla Fuwen Tan Yanjun Qi Vicente Ordonez ODL 47 23 0 16 Jan 2020
CycleCluster: Modernising Clustering Regularisation for Deep Semi-Supervised Classification P. Sellars Angelica Aviles-Rivero Carola Bibiane Schönlieb 6 0 0 15 Jan 2020
Semi-supervised Learning via Conditional Rotation Angle Estimation Hai-Ming Xu Lingqiao Liu Dong Gong 6 4 0 09 Jan 2020
Semi-Supervised Learning with Normalizing Flows Pavel Izmailov Polina Kirichenko Marc Finzi A. Wilson DRL BDL 25 111 0 30 Dec 2019
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks Alex Lamb Sherjil Ozair Vikas Verma David R Ha AAML 18 4 0 25 Dec 2019
Adversarial Feature Distribution Alignment for Semi-Supervised Learning Christoph Mayer M. Paul Radu Timofte 16 12 0 22 Dec 2019
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 28 41 0 20 Dec 2019
RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms Varun Nair Javier Fuentes Alonso Tony Beltramelli 17 26 0 18 Dec 2019
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring David Berthelot Nicholas Carlini E. D. Cubuk Alexey Kurakin Kihyuk Sohn Han Zhang Colin Raffel 20 672 0 21 Nov 2019
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations Tianlin Li Daisuke Kihara Jiebo Luo Guo-Jun Qi OOD 17 34 0 21 Nov 2019
Rethinking deep active learning: Using unlabeled data at model training Oriane Siméoni Mateusz Budnik Yannis Avrithis G. Gravier HAI 22 79 0 19 Nov 2019
Adversarial Transformations for Semi-Supervised Learning Teppei Suzuki Ikuro Sato 6 13 0 13 Nov 2019
Negative sampling in semi-supervised learning John Chen Vatsal Shah Anastasios Kyrillidis 20 21 0 12 Nov 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 50 2,358 0 11 Nov 2019
Learning from Label Proportions with Consistency Regularization Kuen-Han Tsai Hsuan-Tien Lin 16 44 0 29 Oct 2019
Mixup-breakdown: a consistency training method for improving generalization of speech separation models Max W. Y. Lam Jun Wang Dan Su Dong Yu 30 22 0 28 Oct 2019
KuroNet: Pre-Modern Japanese Kuzushiji Character Recognition with Deep Learning Tarin Clanuwat Alex Lamb A. Kitamoto 16 45 0 21 Oct 2019
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan Ö. Arik L. Davis Tomas Pfister 162 196 0 16 Oct 2019
Distilling Effective Supervision from Severe Label Noise Zizhao Zhang Han Zhang Sercan Ö. Arik Honglak Lee Tomas Pfister NoLa 6 2 0 01 Oct 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Juho Kannala Jian Tang 33 62 0 25 Sep 2019
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks Tianyu Pang Kun Xu Jun Zhu AAML 28 103 0 25 Sep 2019