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Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment

Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment

5 March 2019
Yifan Wu
Ezra Winston
Divyansh Kaushik
Zachary Chase Lipton
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Papers citing "Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment"

33 / 83 papers shown
Title
Reconsidering Representation Alignment for Multi-view Clustering
Reconsidering Representation Alignment for Multi-view Clustering
Daniel J. Trosten
Sigurd Løkse
Robert Jenssen
Michael C. Kampffmeyer
18
116
0
13 Mar 2021
A Theory of Label Propagation for Subpopulation Shift
A Theory of Label Propagation for Subpopulation Shift
Tianle Cai
Ruiqi Gao
Jason D. Lee
Qi Lei
16
49
0
22 Feb 2021
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis
Xiaofeng Liu
Xiongchang Liu
Bo Hu
Wenxuan Ji
Fangxu Xing
Jun Lu
J. You
C.-C. Jay Kuo
Xiaofeng Liu
Jonghye Woo
OOD
54
33
0
01 Jan 2021
SENTRY: Selective Entropy Optimization via Committee Consistency for
  Unsupervised Domain Adaptation
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation
Viraj Prabhu
Shivam Khare
Deeksha Kartik
Judy Hoffman
46
133
0
21 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts
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
111
1,390
0
14 Dec 2020
Self-Supervised Real-to-Sim Scene Generation
Self-Supervised Real-to-Sim Scene Generation
Aayush Prakash
Shoubhik Debnath
Jean-Francois Lafleche
Eric Cameracci
Gavriel State
Stan Birchfield
M. Law
37
26
0
30 Nov 2020
DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer
DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer
A. Tanwani
OOD
19
26
0
15 Nov 2020
Learning Invariant Representations and Risks for Semi-supervised Domain
  Adaptation
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation
Yue Liu
Yezhen Wang
Shanghang Zhang
Dongsheng Li
Trevor Darrell
Kurt Keutzer
Han Zhao
OOD
14
93
0
09 Oct 2020
Open Set Domain Adaptation using Optimal Transport
Open Set Domain Adaptation using Optimal Transport
Marwa Kechaou
Romain Hérault
Mokhtar Z. Alaya
Gilles Gasso
OT
OOD
22
1
0
02 Oct 2020
Beyond $\mathcal{H}$-Divergence: Domain Adaptation Theory With
  Jensen-Shannon Divergence
Beyond H\mathcal{H}H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence
Changjian Shui
Qi Chen
Jun Wen
Fan Zhou
Christian Gagné
Boyu Wang
38
22
0
30 Jul 2020
Deep Co-Training with Task Decomposition for Semi-Supervised Domain
  Adaptation
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
20
75
0
24 Jul 2020
Estimating Generalization under Distribution Shifts via Domain-Invariant
  Representations
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
Ching-Yao Chuang
Antonio Torralba
Stefanie Jegelka
OOD
11
60
0
06 Jul 2020
Target Consistency for Domain Adaptation: when Robustness meets
  Transferability
Target Consistency for Domain Adaptation: when Robustness meets Transferability
Yassine Ouali
Victor Bouvier
Myriam Tami
C´eline Hudelot
OOD
19
3
0
25 Jun 2020
Robust Domain Adaptation: Representations, Weights and Inductive Bias
Robust Domain Adaptation: Representations, Weights and Inductive Bias
Victor Bouvier
P. Very
C. Chastagnol
Myriam Tami
C´eline Hudelot
OOD
16
10
0
24 Jun 2020
Rethinking Distributional Matching Based Domain Adaptation
Rethinking Distributional Matching Based Domain Adaptation
Yue Liu
Yezhen Wang
Tong Che
Shanghang Zhang
Sicheng Zhao
Pengfei Xu
Wei Zhou
Yoshua Bengio
Kurt Keutzer
OOD
27
59
0
23 Jun 2020
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal
  Transport
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal Transport
Rosanna Turrisi
Rémi Flamary
A. Rakotomamonjy
Massimiliano Pontil
OT
24
31
0
23 Jun 2020
Minimax Lower Bounds for Transfer Learning with Linear and One-hidden
  Layer Neural Networks
Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks
Seyed Mohammadreza Mousavi Kalan
Zalan Fabian
A. Avestimehr
Mahdi Soltanolkotabi
8
32
0
16 Jun 2020
Optimal Transport for Conditional Domain Matching and Label Shift
Optimal Transport for Conditional Domain Matching and Label Shift
A. Rakotomamonjy
Rémi Flamary
Gilles Gasso
Mokhtar Z. Alaya
Maxime Bérar
Nicolas Courty
OOD
OT
18
25
0
15 Jun 2020
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain
  Adaptation
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
Xiang Jiang
Qicheng Lao
Stan Matwin
Mohammad Havaei
33
110
0
09 Jun 2020
Continuous Transfer Learning with Label-informed Distribution Alignment
Continuous Transfer Learning with Label-informed Distribution Alignment
Jun Wu
Jingrui He
CLL
49
12
0
05 Jun 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
358
1,974
0
04 May 2020
An Adversarial Perturbation Oriented Domain Adaptation Approach for
  Semantic Segmentation
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
Jihan Yang
Ruijia Xu
Ruiyu Li
Xiaojuan Qi
Xiaoyong Shen
Guanbin Li
Liang Lin
12
93
0
18 Dec 2019
Behavior Regularized Offline Reinforcement Learning
Behavior Regularized Offline Reinforcement Learning
Yifan Wu
George Tucker
Ofir Nachum
OffRL
11
670
0
26 Nov 2019
SCL: Towards Accurate Domain Adaptive Object Detection via Gradient
  Detach Based Stacked Complementary Losses
SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses
Zhiqiang Shen
Harsh Maheshwari
Weichen Yao
Marios Savvides
ObjD
27
93
0
06 Nov 2019
Class-imbalanced Domain Adaptation: An Empirical Odyssey
Class-imbalanced Domain Adaptation: An Empirical Odyssey
Shuhan Tan
Xingchao Peng
Kate Saenko
OOD
27
11
0
23 Oct 2019
The Role of Embedding Complexity in Domain-invariant Representations
The Role of Embedding Complexity in Domain-invariant Representations
Ching-Yao Chuang
Antonio Torralba
Stefanie Jegelka
22
1
0
13 Oct 2019
Weighed Domain-Invariant Representation Learning for Cross-domain
  Sentiment Analysis
Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis
Minlong Peng
Qi Zhang
Xuanjing Huang
15
10
0
18 Sep 2019
Domain Adaptation for One-Class Classification: Monitoring the Health of
  Critical Systems Under Limited Information
Domain Adaptation for One-Class Classification: Monitoring the Health of Critical Systems Under Limited Information
Gabriel Michau
Olga Fink
6
28
0
22 Jul 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Aviral Kumar
Justin Fu
George Tucker
Sergey Levine
OffRL
OnRL
32
1,035
0
03 Jun 2019
AlignFlow: Cycle Consistent Learning from Multiple Domains via
  Normalizing Flows
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows
Aditya Grover
Christopher Chute
Rui Shu
Zhangjie Cao
Stefano Ermon
OOD
DRL
13
65
0
30 May 2019
Learning Robust Global Representations by Penalizing Local Predictive
  Power
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang
Songwei Ge
Eric Xing
Zachary Chase Lipton
OOD
39
936
0
29 May 2019
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation
Zhijie Deng
Yucen Luo
Jun Zhu
OOD
19
217
0
24 Mar 2019
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
793
0
19 Feb 2009
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