Understanding Self-Training for Gradual Domain Adaptation

26 February 2020

Papers citing "Understanding Self-Training for Gradual Domain Adaptation"

32 / 132 papers shown

Title
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time Anshul Nasery Soumyadeep Thakur Vihari Piratla A. De Sunita Sarawagi AI4TS 11 25 0 15 Aug 2021
Self-training Converts Weak Learners to Strong Learners in Mixture Models Spencer Frei Difan Zou Zixiang Chen Quanquan Gu 17 17 0 25 Jun 2021
Near-Optimal Linear Regression under Distribution Shift Qi Lei Wei Hu Jason D. Lee OOD 13 40 0 23 Jun 2021
Gradual Domain Adaptation via Self-Training of Auxiliary Models Yabin Zhang Bin Deng K. Jia Lei Zhang CLL 20 10 0 18 Jun 2021
Question Answering Infused Pre-training of General-Purpose Contextualized Representations Robin Jia M. Lewis Luke Zettlemoyer 18 28 0 15 Jun 2021
Break-It-Fix-It: Unsupervised Learning for Program Repair Michihiro Yasunaga Percy Liang 11 106 0 11 Jun 2021
Online Continual Adaptation with Active Self-Training Shiji Zhou Han Zhao Shanghang Zhang Lianzhe Wang Heng Chang Zhi Wang Wenwu Zhu CLL 27 10 0 11 Jun 2021
Generate, Annotate, and Learn: NLP with Synthetic Text Xuanli He Islam Nassar J. Kiros Gholamreza Haffari Mohammad Norouzi 26 51 0 11 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 13 20 0 10 Jun 2021
Domain Transformer: Predicting Samples of Unseen, Future Domains Johannes Schneider OOD 14 2 0 10 Jun 2021
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation Lihe Yang Wei Zhuo Lei Qi Yinghuan Shi Yang Gao 13 301 0 09 Jun 2021
If your data distribution shifts, use self-learning E. Rusak Steffen Schneider George Pachitariu L. Eck Peter V. Gehler Oliver Bringmann Wieland Brendel Matthias Bethge VLM OOD TTA 77 29 0 27 Apr 2021
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation Max Bartolo Tristan Thrush Robin Jia Sebastian Riedel Pontus Stenetorp Douwe Kiela AAML 9 103 0 18 Apr 2021
Multimodal Knowledge Expansion Zihui Xue Sucheng Ren Zhengqi Gao Hang Zhao 34 28 0 26 Mar 2021
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection Yurong You Carlos Diaz-Ruiz Yan Wang Wei-Lun Chao B. Hariharan M. Campbell Kilian Q. Weinberger 3DPC 6 26 0 26 Mar 2021
Cycle Self-Training for Domain Adaptation Hong Liu Jianmin Wang Mingsheng Long 15 174 0 05 Mar 2021
A Theory of Label Propagation for Subpopulation Shift Tianle Cai Ruiqi Gao J. Lee Qi Lei 8 49 0 22 Feb 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 45 1,372 0 14 Dec 2020
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness Sang Michael Xie Ananya Kumar Robbie Jones Fereshte Khani Tengyu Ma Percy Liang OOD 160 62 0 08 Dec 2020
Domain adaptation under structural causal models Yuansi Chen Peter Buhlmann CML OOD AI4CE 24 38 0 29 Oct 2020
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach Haoxu Wang Zhiding Yu Yisong Yue Anima Anandkumar Anqi Liu Junchi Yan OOD UQCV 11 4 0 08 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 8 34 0 07 Oct 2020
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data Colin Wei Kendrick Shen Yining Chen Tengyu Ma SSL 13 224 0 07 Oct 2020
Old Photo Restoration via Deep Latent Space Translation Ziyu Wan Bo Zhang Dongdong Chen P. Zhang Dong Chen Jing Liao Fang Wen 17 66 0 14 Sep 2020
A Survey on Negative Transfer Wen Zhang Lingfei Deng Lei Zhang Dongrui Wu AAML 25 205 0 02 Sep 2020
Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation Luyu Yang Yan Wang M. Gao Abhinav Shrivastava Kilian Q. Weinberger Wei-Lun Chao Ser-Nam Lim OOD 12 75 0 24 Jul 2020
Statistical and Algorithmic Insights for Semi-supervised Learning with Self-training Samet Oymak Talha Cihad Gulcu 11 19 0 19 Jun 2020
Self-training Avoids Using Spurious Features Under Domain Shift Yining Chen Colin Wei Ananya Kumar Tengyu Ma OOD 11 84 0 17 Jun 2020
DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images O. Tasar A. Giros Y. Tarabalka Pierre Alliez Sebastien Clerc 12 51 0 13 May 2020
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 218 789 0 26 Aug 2019
Learning Smooth Representation for Unsupervised Domain Adaptation Guanyu Cai Lianghua He Mengchu Zhou H. Alhumade D. Hu 11 16 0 26 May 2019
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 788 0 19 Feb 2009