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Understanding Self-Training for Gradual Domain Adaptation

Understanding Self-Training for Gradual Domain Adaptation

26 February 2020
Ananya Kumar
Tengyu Ma
Percy Liang
    CLL
    TTA
ArXivPDFHTML

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

27 / 27 papers shown
Title
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
Yuncheng Hua
Yujin Huang
Shuo Huang
Tao Feng
Zhuang Li
Chris Bain
R. Bassed
Gholamreza Haffari
CML
OOD
76
2
0
18 Jun 2024
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
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
71
2
0
17 Jun 2024
Gradual Domain Adaptation: Theory and Algorithms
Gradual Domain Adaptation: Theory and Algorithms
Yifei He
Haoxiang Wang
Bo Li
Han Zhao
CLL
81
6
0
20 Oct 2023
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
Yongyi Su
Xun Xu
Kui Jia
TTA
111
24
0
26 Sep 2023
Understanding and Mitigating the Tradeoff Between Robustness and
  Accuracy
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy
Aditi Raghunathan
Sang Michael Xie
Fanny Yang
John C. Duchi
Percy Liang
AAML
74
226
0
25 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
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
134
3,508
0
21 Jan 2020
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
211
2,375
0
11 Nov 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
318
793
0
26 Aug 2019
Unlabeled Data Improves Adversarial Robustness
Unlabeled Data Improves Adversarial Robustness
Y. Carmon
Aditi Raghunathan
Ludwig Schmidt
Percy Liang
John C. Duchi
96
752
0
31 May 2019
Are Labels Required for Improving Adversarial Robustness?
Are Labels Required for Improving Adversarial Robustness?
J. Uesato
Jean-Baptiste Alayrac
Po-Sen Huang
Robert Stanforth
Alhussein Fawzi
Pushmeet Kohli
AAML
52
333
0
31 May 2019
Robustness to Adversarial Perturbations in Learning from Incomplete Data
Robustness to Adversarial Perturbations in Learning from Incomplete Data
Amir Najafi
S. Maeda
Masanori Koyama
Takeru Miyato
OOD
62
130
0
24 May 2019
On Learning Invariant Representation for Domain Adaptation
On Learning Invariant Representation for Domain Adaptation
Haiying Zhao
Rémi Tachet des Combes
Kun Zhang
Geoffrey J. Gordon
OOD
54
157
0
27 Jan 2019
Moment Matching for Multi-Source Domain Adaptation
Moment Matching for Multi-Source Domain Adaptation
Xingchao Peng
Qinxun Bai
Xide Xia
Zijun Huang
Kate Saenko
Bo Wang
OOD
109
1,769
0
04 Dec 2018
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces
A. Farshchian
J. A. Gallego
Joseph Paul Cohen
Yoshua Bengio
L. Miller
S. Solla
OOD
35
74
0
28 Sep 2018
Cross-Domain Weakly-Supervised Object Detection through Progressive
  Domain Adaptation
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation
Naoto Inoue
Ryosuke Furuta
T. Yamasaki
Kiyoharu Aizawa
ObjD
66
528
0
30 Mar 2018
A DIRT-T Approach to Unsupervised Domain Adaptation
A DIRT-T Approach to Unsupervised Domain Adaptation
Rui Shu
Hung Bui
Hirokazu Narui
Stefano Ermon
62
614
0
23 Feb 2018
Incremental Adversarial Domain Adaptation for Continually Changing
  Environments
Incremental Adversarial Domain Adaptation for Continually Changing Environments
Markus Wulfmeier
Alex Bewley
Ingmar Posner
CLL
33
129
0
20 Dec 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
120
2,985
0
08 Nov 2017
On the Reliable Detection of Concept Drift from Streaming Unlabeled Data
On the Reliable Detection of Concept Drift from Streaming Unlabeled Data
Tegjyot Singh Sethi
M. Kantardzic
18
174
0
31 Mar 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
203
4,646
0
17 Feb 2017
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
262
4,612
0
10 Nov 2016
A Century of Portraits: A Visual Historical Record of American High
  School Yearbooks
A Century of Portraits: A Visual Historical Record of American High School Yearbooks
Shiry Ginosar
Kate Rakelly
Sarah Sachs
Brian Yin
Crystal Lee
Philipp Krahenbuhl
Alexei A. Efros
40
113
0
09 Nov 2015
Train faster, generalize better: Stability of stochastic gradient
  descent
Train faster, generalize better: Stability of stochastic gradient descent
Moritz Hardt
Benjamin Recht
Y. Singer
91
1,234
0
03 Sep 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
290
43,154
0
11 Feb 2015
Deep Domain Confusion: Maximizing for Domain Invariance
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
148
2,588
0
10 Dec 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
218
5,990
0
26 Sep 2014
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
274
796
0
19 Feb 2009
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