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Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data

7 October 2020

Papers citing "Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data"

50 / 57 papers shown

Title
References Indeed Matter? Reference-Free Preference Optimization for Conversational Query Reformulation Doyoung Kim Youngjun Lee Joeun Kim Jihwan Bang Hwanjun Song Susik Yoon Jae-Gil Lee 191 0 0 10 May 2025
Weak-to-Strong Generalization Through the Data-Centric Lens Changho Shin John Cooper Frederic Sala 168 9 0 05 Dec 2024
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws M. E. Ildiz Halil Alperen Gozeten Ege Onur Taga Marco Mondelli Samet Oymak 94 5 0 24 Oct 2024
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning Jingyang Li Jiachun Pan Vincent Y. F. Tan Kim-Chuan Toh Pan Zhou AAML MLT 133 0 0 15 Oct 2024
Retraining with Predicted Hard Labels Provably Increases Model Accuracy Rudrajit Das Inderjit S Dhillon Alessandro Epasto Adel Javanmard Jieming Mao Vahab Mirrokni Sujay Sanghavi Peilin Zhong 107 2 0 17 Jun 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 122 10 0 11 Mar 2024
Augmentation Invariant Manifold Learning Shulei Wang 212 1 0 01 Nov 2022
Predicting What You Already Know Helps: Provable Self-Supervised Learning Jason D. Lee Qi Lei Nikunj Saunshi Jiacheng Zhuo SSL 79 189 0 03 Aug 2020
Statistical and Algorithmic Insights for Semi-supervised Learning with Self-training Samet Oymak Talha Cihad Gulcu 65 20 0 19 Jun 2020
Self-training Avoids Using Spurious Features Under Domain Shift Yining Chen Colin Wei Ananya Kumar Tengyu Ma OOD 88 85 0 17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 389 6,837 0 13 Jun 2020
Self-supervised Learning from a Multi-view Perspective Yao-Hung Hubert Tsai Yue Wu Ruslan Salakhutdinov Louis-Philippe Morency SSL 62 30 0 10 Jun 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 114 1,335 0 20 May 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 489 3,443 0 09 Mar 2020
Contrastive estimation reveals topic posterior information to linear models Christopher Tosh A. Krishnamurthy Daniel J. Hsu 53 64 0 04 Mar 2020
Understanding Self-Training for Gradual Domain Adaptation Ananya Kumar Tengyu Ma Percy Liang CLL TTA 90 230 0 26 Feb 2020
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy Aditi Raghunathan Sang Michael Xie Fanny Yang John C. Duchi Percy Liang AAML 94 229 0 25 Feb 2020
Self-Distillation Amplifies Regularization in Hilbert Space H. Mobahi Mehrdad Farajtabar Peter L. Bartlett 69 235 0 13 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 375 18,859 0 13 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 160 3,572 0 21 Jan 2020
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra Laurens van der Maaten SSL VLM 108 1,458 0 04 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 210 12,121 0 13 Nov 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 315 2,392 0 11 Nov 2019
Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin Colin Wei Tengyu Ma AAML OOD 61 85 0 09 Oct 2019
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 348 795 0 26 Aug 2019
Unlabeled Data Improves Adversarial Robustness Y. Carmon Aditi Raghunathan Ludwig Schmidt Percy Liang John C. Duchi 130 754 0 31 May 2019
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience Vaishnavh Nagarajan J. Zico Kolter 90 101 0 30 May 2019
Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation Colin Wei Tengyu Ma 68 110 0 09 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 151 3,033 0 06 May 2019
Billion-scale semi-supervised learning for image classification I. Z. Yalniz Hervé Jégou Kan Chen Manohar Paluri D. Mahajan SSL 102 463 0 02 May 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 137 2,321 0 29 Apr 2019
Bridging Theory and Algorithm for Domain Adaptation Yuchen Zhang Tianle Liu Mingsheng Long Michael I. Jordan 83 713 0 11 Apr 2019
Label Propagation for Deep Semi-supervised Learning Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum SSL 102 624 0 09 Apr 2019
A Theoretical Analysis of Contrastive Unsupervised Representation Learning Sanjeev Arora H. Khandeparkar M. Khodak Orestis Plevrakis Nikunj Saunshi SSL 103 784 0 25 Feb 2019
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 269 5,403 0 28 Sep 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 351 10,356 0 10 Jul 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 263 3,298 0 21 Mar 2018
Deep Co-Training for Semi-Supervised Image Recognition Siyuan Qiao Wei Shen Zhishuai Zhang Bo Wang Alan Yuille 59 450 0 15 Mar 2018
A DIRT-T Approach to Unsupervised Domain Adaptation Rui Shu Hung Bui Hirokazu Narui Stefano Ermon 75 625 0 23 Feb 2018
Stronger generalization bounds for deep nets via a compression approach Sanjeev Arora Rong Ge Behnam Neyshabur Yi Zhang MLT AI4CE 89 643 0 14 Feb 2018
CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell 147 3,002 0 08 Nov 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 151 2,738 0 13 Apr 2017
Learning Discrete Representations via Information Maximizing Self-Augmented Training Weihua Hu Takeru Miyato Seiya Tokui Eiichi Matsumoto Masashi Sugiyama 83 452 0 28 Feb 2017
Asymmetric Tri-training for Unsupervised Domain Adaptation Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada 115 587 0 27 Feb 2017
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics Yuchen Zhang Percy Liang Moses Charikar 67 236 0 18 Feb 2017
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 270 4,672 0 17 Feb 2017
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 185 2,567 0 07 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 652 29,154 0 09 Sep 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 69 5,297 0 25 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 177 2,986 0 30 Mar 2016