Adversarial Dropout for Supervised and Semi-supervised Learning

12 July 2017

Papers citing "Adversarial Dropout for Supervised and Semi-supervised Learning"

34 / 34 papers shown

Title
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning Jingyang Li Jiachun Pan Vincent Y. F. Tan Kim-Chuan Toh Pan Zhou AAML MLT 48 0 0 15 Oct 2024
SemiReward: A General Reward Model for Semi-supervised Learning Siyuan Li Weiyang Jin Zedong Wang Fang Wu Zicheng Liu Cheng Tan Stan Z. Li 32 9 0 04 Oct 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 39 24 0 13 Jun 2023
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling Qinyi Deng Yong Guo Zhibang Yang Haolin Pan Jian Chen 27 10 0 13 Dec 2022
A soft nearest-neighbor framework for continual semi-supervised learning Zhiqi Kang Enrico Fini Moin Nabi Elisa Ricci Alahari Karteek SSL BDL CLL 16 17 0 09 Dec 2022
Deep Clustering: A Comprehensive Survey Yazhou Ren Jingyu Pu Zhimeng Yang Jie Xu Guofeng Li X. Pu Philip S. Yu Lifang He HAI 37 100 0 09 Oct 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 40 113 0 24 Aug 2022
Debiased Self-Training for Semi-Supervised Learning Baixu Chen Junguang Jiang Ximei Wang Pengfei Wan Jianmin Wang Mingsheng Long 29 85 0 15 Feb 2022
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning Hyuck Lee Seungjae Shin Heeyoung Kim CLL 18 90 0 20 Oct 2021
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning Zewei Long Jiaqi Wang Yaqing Wang Houping Xiao Fenglong Ma FedML 42 22 0 09 Sep 2021
Adversarially Adaptive Normalization for Single Domain Generalization Xinjie Fan Qifei Wang Junjie Ke Feng Yang Boqing Gong Mingyuan Zhou 27 129 0 01 Jun 2021
Learning from Noisy Labels via Dynamic Loss Thresholding Hao Yang Youzhi Jin Zi-Hua Li Deng-Bao Wang Lei Miao Xin Geng Min-Ling Zhang NoLa AI4CE 24 6 0 01 Apr 2021
LocalDrop: A Hybrid Regularization for Deep Neural Networks Ziqing Lu Chang Xu Bo Du Takashi Ishida L. Zhang Masashi Sugiyama 30 14 0 01 Mar 2021
Regularization with Latent Space Virtual Adversarial Training Genki Osada Budrul Ahsan Revoti Prasad Bora Takashi Nishide 24 14 0 26 Nov 2020
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings Marco Toldo Umberto Michieli Pietro Zanuttigh OOD 29 44 0 25 Nov 2020
ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition Jiuniu Wang Wenjia Xu Xingyu Fu Guangluan Xu Yirong Wu 20 57 0 02 Sep 2020
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning Zhanghan Ke Di Qiu Kaican Li Qiong Yan Rynson W. H. Lau 28 247 0 12 Aug 2020
Entropy Guided Adversarial Model for Weakly Supervised Object Localization Sabrina Narimene Benassou Wuzhen Shi Feng Jiang GAN AAML WSOL 21 5 0 04 Aug 2020
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning Zexi Chen B. Ramachandra Ranga Raju Vatsavai GAN 23 1 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 34 645 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
An Overview of Neural Network Compression James OÑeill AI4CE 45 98 0 05 Jun 2020
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
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 18 149 0 25 Apr 2019
Interpolation Consistency Training for Semi-Supervised Learning Vikas Verma Kenji Kawaguchi Alex Lamb Juho Kannala Arno Solin Yoshua Bengio David Lopez-Paz 27 756 0 09 Mar 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 28 215 0 20 Feb 2019
On the security relevance of weights in deep learning Kathrin Grosse T. A. Trost Marius Mosbach Michael Backes Dietrich Klakow AAML 32 6 0 08 Feb 2019
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets Hong-Yu Zhou Avital Oliver Jianxin Wu Yefeng Zheng 24 22 0 13 Dec 2018
Semi-Supervised Sequence Modeling with Cross-View Training Kevin Clark Minh-Thang Luong Christopher D. Manning Quoc V. Le SSL 6 333 0 22 Sep 2018
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud Ji Wang Jianguo Zhang Weidong Bao Xiaomin Zhu Bokai Cao Philip S. Yu 21 193 0 10 Sep 2018
Adversarial Personalized Ranking for Recommendation Xiangnan He Zhankui He Xiaoyu Du Tat-Seng Chua 25 394 0 12 Aug 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,835 0 08 Jul 2016
To Drop or Not to Drop: Robustness, Consistency and Differential Privacy Properties of Dropout Prateek Jain Vivek Kulkarni Abhradeep Thakurta Oliver Williams 44 30 0 06 Mar 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012