Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

13 April 2017

Papers citing "Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning"

50 / 1,262 papers shown

Title
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization Foivos Ntelemis Yaochu Jin S. Thomas GAN 33 13 0 08 Nov 2020
Self-paced and self-consistent co-training for semi-supervised image segmentation Ping Wang Jizong Peng M. Pedersoli Yuanfeng Zhou Caiming Zhang Christian Desrosiers 11 53 0 31 Oct 2020
Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging Qingjie Meng Jacqueline Matthew V. Zimmer Alberto Gómez D. Lloyd Daniel Rueckert Bernhard Kainz OOD 19 36 0 30 Oct 2020
The Mathematical Foundations of Manifold Learning Luke Melas-Kyriazi AI4CE 20 17 0 30 Oct 2020
An empirical study of domain-agnostic semi-supervised learning via energy-based models: joint-training and pre-training Yunfu Song Huahuan Zheng Zhijian Ou 17 0 0 25 Oct 2020
Uncertainty Aware Semi-Supervised Learning on Graph Data Xujiang Zhao Feng Chen Shu Hu Jin-Hee Cho UQCV EDL BDL 124 131 0 24 Oct 2020
Posterior Differential Regularization with f-divergence for Improving Model Robustness Hao Cheng Xiaodong Liu L. Pereira Yaoliang Yu Jianfeng Gao 250 31 0 23 Oct 2020
Iterative Graph Self-Distillation Hanlin Zhang Shuai Lin Weiyang Liu Pan Zhou Jian Tang Xiaodan Liang Eric Xing SSL 62 33 0 23 Oct 2020
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels Valentyn Melnychuk Evgeniy Faerman I. Manakov Thomas Seidl 17 0 0 23 Oct 2020
Contrastive Learning with Adversarial Examples Chih-Hui Ho Nuno Vasconcelos SSL 27 140 0 22 Oct 2020
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data David Lowell Brian Howard Zachary Chase Lipton Byron C. Wallace 32 23 0 22 Oct 2020
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data Lingkai Kong Haoming Jiang Yuchen Zhuang Jie Lyu T. Zhao Chao Zhang OODD 30 26 0 22 Oct 2020
UFO $^2$ : A Unified Framework towards Omni-supervised Object Detection Zhongzheng Ren Zhiding Yu Xiaodong Yang Xuan Li Alex Schwing Jan Kautz ObjD 209 35 0 21 Oct 2020
Robust Optimization as Data Augmentation for Large-scale Graphs Kezhi Kong Ge Li Mucong Ding Zuxuan Wu Chen Zhu Guohao Li Gavin Taylor Tom Goldstein 106 75 0 19 Oct 2020
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation Yuliang Zou Zizhao Zhang Han Zhang Chun-Liang Li Xiao Bian Jia-Bin Huang Tomas Pfister 28 291 0 19 Oct 2020
Semi-supervised Batch Active Learning via Bilevel Optimization Zalan Borsos Marco Tagliasacchi Andreas Krause 37 23 0 19 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 39 48 0 19 Oct 2020
Semi-supervised Learning by Latent Space Energy-Based Model of Symbol-Vector Coupling Bo Pang Erik Nijkamp Jiali Cui Tian Han Ying Nian Wu SSL 37 4 0 19 Oct 2020
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning Kibok Lee Yian Zhu Kihyuk Sohn Chun-Liang Li Jinwoo Shin Honglak Lee SSL 33 26 0 17 Oct 2020
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding Yanru Qu Dinghan Shen Yelong Shen Sandra Sajeev Jiawei Han Weizhu Chen 151 66 0 16 Oct 2020
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach Yue Yu Simiao Zuo Haoming Jiang Wendi Ren T. Zhao Chao Zhang AI4MH 13 131 0 15 Oct 2020
Self-Supervised Domain Adaptation with Consistency Training Liang Xiao J. Xu D. Zhao Z. Wang L. Wang Y. Nie B. Dai 31 14 0 15 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 35 64 0 14 Oct 2020
LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative Matching Qun Liu Matthew Shreve R. Bala 20 0 0 13 Oct 2020
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets Shujun Wang Lequan Yu Kang Li Xin Yang Chi-Wing Fu Pheng-Ann Heng 8 131 0 13 Oct 2020
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph Jingkang Yang Weirong Chen Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang NoLa 33 13 0 12 Oct 2020
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning Tao Han Junyu Gao Yuan. Yuan Qi. Wang 22 26 0 12 Oct 2020
Voting-based Approaches For Differentially Private Federated Learning Yuqing Zhu Xiang Yu Yi-Hsuan Tsai Francesco Pittaluga M. Faraki Manmohan Chandraker Yu Wang FedML 29 21 0 09 Oct 2020
Adaptive Self-training for Few-shot Neural Sequence Labeling Yaqing Wang Subhabrata Mukherjee Haoda Chu Yuancheng Tu Ming Wu Jing Gao Ahmed Hassan Awadallah VLM 18 34 0 07 Oct 2020
How Out-of-Distribution Data Hurts Semi-Supervised Learning Xujiang Zhao Killamsetty Krishnateja Rishabh K. Iyer Feng Chen 14 3 0 07 Oct 2020
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data Colin Wei Kendrick Shen Yining Chen Tengyu Ma SSL 23 226 0 07 Oct 2020
Unsupervised Representation Learning by InvariancePropagation Feng Wang Huaping Liu Di Guo F. Sun SSL 41 33 0 07 Oct 2020
CO2: Consistent Contrast for Unsupervised Visual Representation Learning Chen Wei Huiyu Wang Wei Shen Alan Yuille SSL 36 62 0 05 Oct 2020
Integrating Categorical Semantics into Unsupervised Domain Translation Samuel Lavoie-Marchildon Faruk Ahmed Aaron Courville 28 5 0 03 Oct 2020
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation Dinghan Shen Ming Zheng Yelong Shen Yanru Qu Weizhu Chen AAML 29 130 0 29 Sep 2020
Domain Adversarial Fine-Tuning as an Effective Regularizer Giorgos Vernikos Katerina Margatina Alexandra Chronopoulou Ion Androutsopoulos 27 15 0 28 Sep 2020
Analysis of label noise in graph-based semi-supervised learning B. Afonso Lilian Berton NoLa 14 14 0 27 Sep 2020
Semi-Supervised Learning for In-Game Expert-Level Music-to-Dance Translation Yinglin Duan Tianyang Shi Zhengxia Zou Jia Qin Yifei Zhao Yi Yuan Jie Hou Xiang Wen Chang Lab 11 4 0 27 Sep 2020
Semi-Supervised Image Deraining using Gaussian Processes R. Yasarla Vishwanath A. Sindagi Vishal M. Patel 14 21 0 25 Sep 2020
Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training Shunsuke Kitada Hitoshi Iyatomi OOD AAML 22 26 0 25 Sep 2020
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization P. Gyawali S. Ghimire Linwei Wang AAML 39 7 0 23 Sep 2020
Semantics-Preserving Adversarial Training Won-Ok Lee Hanbit Lee Sang-goo Lee AAML 22 2 0 23 Sep 2020
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time Ferran Alet Maria Bauza Kenji Kawaguchi Nurullah Giray Kuru Tomas Lozano-Perez L. Kaelbling AI4CE 35 17 0 22 Sep 2020
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness Nathan Ng Kyunghyun Cho Marzyeh Ghassemi 33 145 0 21 Sep 2020
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition with Multi-Domain Deep Learning Model Ling Pei Songpengcheng Xia Lei Chu Fanyi Xiao Qi Wu Wenxian Yu Zixuan Zhang 37 30 0 20 Sep 2020
One-bit Supervision for Image Classification Hengtong Hu Lingxi Xie Zewei Du Richang Hong Qi Tian SSL VLM 14 16 0 14 Sep 2020
Manifold attack K. Tran Fred-Maurice Ngole-Mboula Jean-Luc Starck AAML OOD 23 0 0 13 Sep 2020
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function Devendra Singh Sachan Manzil Zaheer Ruslan Salakhutdinov 14 131 0 08 Sep 2020
Adversarially Robust Neural Architectures Minjing Dong Yanxi Li Yunhe Wang Chang Xu AAML OOD 47 48 0 02 Sep 2020
Monocular 3D Detection with Geometric Constraints Embedding and Semi-supervised Training Peixuan Li 3DPC 22 9 0 02 Sep 2020