Distributional Smoothing with Virtual Adversarial Training

2 July 2015

Papers citing "Distributional Smoothing with Virtual Adversarial Training"

50 / 102 papers shown

Title
Semi-Supervised 360 Layout Estimation with Panoramic Collaborative Perturbations Junsong Zhang Chunyu Lin Zhijie Shen Lang Nie K. Liao Yao Zhao 35 0 0 03 Mar 2025
Evaluating Model Performance Under Worst-case Subpopulations Mike Li Hongseok Namkoong Shangzhou Xia 48 17 0 01 Jul 2024
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models Hao Fang Jiawei Kong Wenbo Yu Bin Chen Jiawei Li Hao Wu Ke Xu Ke Xu AAML VLM 40 13 0 08 Jun 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 63 8 0 15 Mar 2024
How Smooth Is Attention? Valérie Castin Pierre Ablin Gabriel Peyré AAML 40 9 0 22 Dec 2023
Semi-supervised learning made simple with self-supervised clustering Enrico Fini Pietro Astolfi Alahari Karteek Xavier Alameda-Pineda Julien Mairal Moin Nabi Elisa Ricci SSL 41 26 0 13 Jun 2023
ESimCSE Unsupervised Contrastive Learning Jointly with UDA Semi-Supervised Learning for Large Label System Text Classification Mode Ruan Lu Zhou Hangcheng Ran Meng Zhao Jin Qin JiaoYu Wei Feng Wang ChenZi 40 0 0 19 Apr 2023
Diagnosing Model Performance Under Distribution Shift Tiffany Cai Hongseok Namkoong Steve Yadlowsky 37 28 0 03 Mar 2023
A soft nearest-neighbor framework for continual semi-supervised learning Zhiqi Kang Enrico Fini Moin Nabi Elisa Ricci Alahari Karteek SSL BDL CLL 41 17 0 09 Dec 2022
Uncertainty Sentence Sampling by Virtual Adversarial Perturbation Han Zhang Zhen Zhang Hongfei Jiang Yang Song 28 0 0 26 Oct 2022
Adversarial Detection: Attacking Object Detection in Real Time Han-Ching Wu Syed Yunas Sareh Rowlands Wenjie Ruan Johan Wahlstrom AAML 33 4 0 05 Sep 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 47 114 0 24 Aug 2022
Context-based Virtual Adversarial Training for Text Classification with Noisy Labels Do-Myoung Lee Yeachan Kim Chang-gyun Seo NoLa 21 2 0 29 May 2022
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training Pervaiz Iqbal Khan Shoaib Ahmed Siddiqui Imran Razzak Andreas Dengel Sheraz Ahmed 21 3 0 03 Mar 2022
Global-Local Regularization Via Distributional Robustness Hoang Phan Trung Le Trung-Nghia Phung Tu Bui Nhat Ho Dinh Q. Phung OOD 24 12 0 01 Mar 2022
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training Tu Bui Trung Le Quan Hung Tran He Zhao Dinh Q. Phung AAML OOD 43 43 0 27 Feb 2022
Adversarial Detector with Robust Classifier Takayuki Osakabe Maungmaung Aprilpyone Sayaka Shiota Hitoshi Kiya AAML 21 1 0 05 Feb 2022
Taming Overconfident Prediction on Unlabeled Data from Hindsight Jing Li Yuangang Pan Ivor W. Tsang 21 1 0 15 Dec 2021
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model Ximei Wang Xinyang Chen Jianmin Wang Mingsheng Long 32 1 0 09 Oct 2021
Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm Kanata Suzuki Taro Sunagawa Tomotake Sasaki Takashi Katoh 18 3 0 03 Oct 2021
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest Gilad Cohen Raja Giryes AAML 40 4 0 16 Sep 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models Kun Zhou Wayne Xin Zhao Sirui Wang Fuzheng Zhang Wei Wu Ji-Rong Wen AAML 31 7 0 13 Sep 2021
DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems Mohit Sewak S. K. Sahay Hemant Rathore 16 5 0 12 Sep 2021
Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency Xueping Wang Shasha Li Min Liu Yaonan Wang Amit K. Roy-Chowdhury AAML 27 28 0 23 Aug 2021
Improved Text Classification via Contrastive Adversarial Training Lin Pan Chung-Wei Hang Avirup Sil Saloni Potdar AAML 28 86 0 21 Jul 2021
A Survey on Data Augmentation for Text Classification Markus Bayer M. Kaufhold Christian A. Reuter 38 336 0 07 Jul 2021
OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers Kuniaki Saito Donghyun Kim Kate Saenko 34 63 0 28 May 2021
Salient Objects in Clutter Deng-Ping Fan Jing Zhang Gang Xu Mingg-Ming Cheng Ling Shao 44 44 0 07 May 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 24 18 0 16 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 38 65 0 09 Apr 2021
Can audio-visual integration strengthen robustness under multimodal attacks? Yapeng Tian Chenliang Xu AAML 36 37 0 05 Apr 2021
Multiplicative Reweighting for Robust Neural Network Optimization Noga Bar Tomer Koren Raja Giryes OOD NoLa 18 9 0 24 Feb 2021
Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out Peiran Yao Denilson Barbosa 37 6 0 03 Feb 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 67 163 0 21 Jan 2021
Uncertainty-Aware Deep Calibrated Salient Object Detection Jing Zhang Yuchao Dai Xin Yu Mehrtash Harandi Nick Barnes Richard I. Hartley UQCV EDL 28 6 0 10 Dec 2020
Regularization with Latent Space Virtual Adversarial Training Genki Osada Budrul Ahsan Revoti Prasad Bora Takashi Nishide 30 14 0 26 Nov 2020
Distributionally Robust Losses for Latent Covariate Mixtures John C. Duchi Tatsunori Hashimoto Hongseok Namkoong 18 79 0 28 Jul 2020
A Survey on Security Attacks and Defense Techniques for Connected and Autonomous Vehicles M. Pham Kaiqi Xiong 25 138 0 16 Jul 2020
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation Yong Cheng Lu Jiang Wolfgang Macherey Jacob Eisenstein 37 115 0 21 Jun 2020
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers S. Melacci Gabriele Ciravegna Angelo Sotgiu Ambra Demontis Battista Biggio Marco Gori Fabio Roli 22 14 0 06 Jun 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 28 387 0 22 May 2020
Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation Xinting Huang Jianzhong Qi Yu Sun Rui Zhang OffRL 69 18 0 09 May 2020
Adversarial Training against Location-Optimized Adversarial Patches Sukrut Rao David Stutz Bernt Schiele AAML 19 92 0 05 May 2020
The Attacker's Perspective on Automatic Speaker Verification: An Overview Rohan Kumar Das Xiaohai Tian Tomi Kinnunen Haizhou Li AAML 20 81 0 19 Apr 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations Huan Zhang Hongge Chen Chaowei Xiao Bo-wen Li Mingyan D. Liu Duane S. Boning Cho-Jui Hsieh AAML 47 261 0 19 Mar 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 29 485 0 12 Feb 2020
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 33 41 0 20 Dec 2019
COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection Aminollah Khormali Ahmed A. Abusnaina Songqing Chen Daehun Nyang Aziz Mohaisen AAML 34 28 0 20 Sep 2019
Unsupervised Domain Adaptation via Calibrating Uncertainties Ligong Han Yang Zou Ruijiang Gao Lezi Wang Dimitris N. Metaxas 21 30 0 25 Jul 2019
ML-LOO: Detecting Adversarial Examples with Feature Attribution Puyudi Yang Jianbo Chen Cho-Jui Hsieh Jane-ling Wang Michael I. Jordan AAML 22 101 0 08 Jun 2019