Interpolation Consistency Training for Semi-Supervised Learning

9 March 2019

Arno Solin

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

50 / 104 papers shown

Title
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation Huimin Wu X. Li Kwang-Ting Cheng 28 13 0 22 Nov 2021
RCT: Random Consistency Training for Semi-supervised Sound Event Detection Nian Shao Erfan Loweimi Xiaofei Li 21 13 0 21 Oct 2021
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning Hyuck Lee Seungjae Shin Heeyoung Kim CLL 18 90 0 20 Oct 2021
Virtual Augmentation Supported Contrastive Learning of Sentence Representations Dejiao Zhang Wei Xiao Henghui Zhu Xiaofei Ma Andrew O. Arnold SSL 51 29 0 16 Oct 2021
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation Zhe Xu Yixin Wang Donghuan Lu Lequan Yu Jiangpeng Yan Jie Luo Kai Ma Yefeng Zheng R. Tong 35 55 0 28 Sep 2021
Semi-Supervised Visual Representation Learning for Fashion Compatibility Ambareesh Revanur Vijay R. Kumar D. Sharma SSL 16 20 0 16 Sep 2021
Counterfactual Adversarial Learning with Representation Interpolation Wen Wang Boxin Wang Ning Shi Jinfeng Li Bingyu Zhu Xiangyu Liu Rongxin Zhang AAML OOD CML 17 2 0 10 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 39 91 0 08 Sep 2021
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer Xiaodong Wang Junbao Zhuo Shuhao Cui Shuhui Wang 19 6 0 07 Jul 2021
Recent Deep Semi-supervised Learning Approaches and Related Works Gyeongho Kim SSL 13 10 0 22 Jun 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data Ashraful Islam Chun-Fu Chen Rameswar Panda Leonid Karlinsky Rogerio Feris Richard J. Radke 28 84 0 14 Jun 2021
Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent Samira Abnar Rianne van den Berg Golnaz Ghiasi Mostafa Dehghani Nal Kalchbrenner Hanie Sedghi OOD CLL TTA 18 20 0 10 Jun 2021
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification P. Sellars Angelica I. Aviles-Rivero Carola-Bibiane Schönlieb 23 8 0 08 Jun 2021
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation Hong-Yu Zhou Chengdi Wang Haofeng Li Gang Wang Shu Zhen Zhang Wei-min Li Yizhou Yu 14 48 0 03 Jun 2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation Pan Zhang Bo Zhang Ting Zhang Dong Chen Fang Wen 20 17 0 01 Jun 2021
Cross-Referencing Self-Training Network for Sound Event Detection in Audio Mixtures Sangwook Park D. Han Mounya Elhilali 27 12 0 27 May 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Armand Joulin Nicolas Ballas Michael G. Rabbat SSL 22 147 0 28 Apr 2021
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets Yuan-Hong Liao Amlan Kar Sanja Fidler VLM 23 29 0 26 Apr 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification Jong-Chyi Su Zezhou Cheng Subhransu Maji 23 57 0 01 Apr 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning Abulikemu Abuduweili Xingjian Li Humphrey Shi Chengzhong Xu Dejing Dou 35 77 0 03 Mar 2021
Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation Xiaoyang Qu Jianzong Wang Jing Xiao 16 14 0 23 Feb 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks Hieu H. Pham Quoc V. Le 70 56 0 05 Jan 2021
Regularization with Latent Space Virtual Adversarial Training Genki Osada Budrul Ahsan Revoti Prasad Bora Takashi Nishide 24 14 0 26 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 12 2 0 19 Nov 2020
Towards Domain-Agnostic Contrastive Learning Vikas Verma Minh-Thang Luong Kenji Kawaguchi Hieu H. Pham Quoc V. Le SSL 15 115 0 09 Nov 2020
Hard Negative Mixing for Contrastive Learning Yannis Kalantidis Mert Bulent Sariyildiz Noé Pion Philippe Weinzaepfel Diane Larlus SSL 29 628 0 02 Oct 2020
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays Angelica I Aviles-Rivero P. Sellars Carola-Bibiane Schönlieb Nicolas Papadakis DiffM MedIm SSL 17 30 0 30 Sep 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 19 155 0 21 Jul 2020
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning Viktor Olsson Wilhelm Tranheden Juliano Pinto Lennart Svensson 22 330 0 15 Jul 2020
Active Crowd Counting with Limited Supervision Zhen Zhao Miaojing Shi Xiaoxiao Zhao Li Li 24 47 0 13 Jul 2020
Remix: Rebalanced Mixup Hsin-Ping Chou Shih-Chieh Chang Jia-Yu Pan Wei Wei Da-Cheng Juan 34 231 0 08 Jul 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 29 645 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
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 253 656 0 23 Mar 2020
A U-Net Based Discriminator for Generative Adversarial Networks Edgar Schönfeld Bernt Schiele Anna Khoreva GAN 25 291 0 28 Feb 2020
Topologically Densified Distributions Christoph Hofer Florian Graf Marc Niethammer Roland Kwitt 24 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 63 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
Semi-Supervised Learning with Normalizing Flows Pavel Izmailov Polina Kirichenko Marc Finzi A. Wilson DRL BDL 25 111 0 30 Dec 2019
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 21 41 0 20 Dec 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
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 42 2,358 0 11 Nov 2019
Learning from Label Proportions with Consistency Regularization Kuen-Han Tsai Hsuan-Tien Lin 11 44 0 29 Oct 2019
Mixup-breakdown: a consistency training method for improving generalization of speech separation models Max W. Y. Lam J. Wang Dan Su Dong Yu 25 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
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 25 103 0 25 Sep 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 38 840 0 31 Jul 2019
Asymptotic Bayes risk for Gaussian mixture in a semi-supervised setting Marc Lelarge Léo Miolane 6 28 0 08 Jul 2019
Semi-supervised semantic segmentation needs strong, varied perturbations Geoff French S. Laine Timo Aila Michal Mackiewicz G. Finlayson 18 29 0 05 Jun 2019