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Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain
  Adaptation

Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation

19 July 2022
Yifan Wang
Lin Zhang
Ran Song
Hongliang Li
Lin Ma
Wei Emma Zhang
ArXivPDFHTML

Papers citing "Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation"

42 / 42 papers shown
Title
Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining
Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining
Lu Dong
Han Zhang
Hongjie Zhang
Yuanmin Huang
Z. Ling
Yu Qiao
Limin Wang
Yun Wang
AI4TS
116
0
0
10 May 2025
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment
Yin Zhao
Minquan Wang
Longjun Cai
OOD
79
9
0
13 Oct 2021
OVANet: One-vs-All Network for Universal Domain Adaptation
OVANet: One-vs-All Network for Universal Domain Adaptation
Kuniaki Saito
Kate Saenko
72
149
0
07 Apr 2021
DINE: Domain Adaptation from Single and Multiple Black-box Predictors
DINE: Domain Adaptation from Single and Multiple Black-box Predictors
Jian Liang
Dapeng Hu
Jiashi Feng
Ran He
47
78
0
04 Apr 2021
Instance Level Affinity-Based Transfer for Unsupervised Domain
  Adaptation
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation
Astuti Sharma
Tarun Kalluri
Manmohan Chandraker
22
48
0
03 Apr 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection
SSD: A Unified Framework for Self-Supervised Outlier Detection
Vikash Sehwag
M. Chiang
Prateek Mittal
OODD
55
336
0
22 Mar 2021
FINE Samples for Learning with Noisy Labels
FINE Samples for Learning with Noisy Labels
Taehyeon Kim
Jongwoo Ko
Sangwook Cho
J. Choi
Se-Young Yun
NoLa
56
103
0
23 Feb 2021
On the Effectiveness of Image Rotation for Open Set Domain Adaptation
On the Effectiveness of Image Rotation for Open Set Domain Adaptation
S. Bucci
Mohammad Reza Loghmani
Tatiana Tommasi
85
145
0
24 Jul 2020
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning
Qing Yu
Daiki Ikami
Go Irie
Kiyoharu Aizawa
49
128
0
22 Jul 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally
  Shifted Instances
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Jihoon Tack
Sangwoo Mo
Jongheon Jeong
Jinwoo Shin
OODD
36
595
0
16 Jul 2020
Contrastive Training for Improved Out-of-Distribution Detection
Contrastive Training for Improved Out-of-Distribution Detection
Jim Winkens
Rudy Bunel
Abhijit Guha Roy
Robert Stanforth
Vivek Natarajan
...
Alan Karthikesalingam
Simon A. A. Kohl
taylan. cemgil
S. M. Ali Eslami
Olaf Ronneberger
OODD
95
239
0
10 Jul 2020
Universal Source-Free Domain Adaptation
Universal Source-Free Domain Adaptation
Jogendra Nath Kundu
Naveen Venkat
V. RahulM.
R. Venkatesh Babu
VLM
TTA
46
339
0
09 Apr 2020
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
Jian Liang
Yunbo Wang
Dapeng Hu
Ran He
Jiashi Feng
199
108
0
05 Mar 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning
  from Out-of-distribution Data
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
Yen-Chang Hsu
Yilin Shen
Hongxia Jin
Z. Kira
OODD
54
567
0
26 Feb 2020
Universal Domain Adaptation through Self Supervision
Universal Domain Adaptation through Self Supervision
Kuniaki Saito
Donghyun Kim
Stan Sclaroff
Kate Saenko
OOD
TTA
60
315
0
19 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
282
42,038
0
03 Dec 2019
Input complexity and out-of-distribution detection with likelihood-based
  generative models
Input complexity and out-of-distribution detection with likelihood-based generative models
Joan Serrà
David Álvarez
Vicencc Gómez
Olga Slizovskaia
José F. Núñez
Jordi Luque
OODD
95
276
0
25 Sep 2019
Unsupervised Out-of-Distribution Detection by Maximum Classifier
  Discrepancy
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy
Qing Yu
Kiyoharu Aizawa
OODD
36
166
0
14 Aug 2019
Attract or Distract: Exploit the Margin of Open Set
Attract or Distract: Exploit the Margin of Open Set
Qianyu Feng
Guoliang Kang
Hehe Fan
Yezhou Yang
28
56
0
06 Aug 2019
Out-of-Distribution Detection Using Neural Rendering Generative Models
Out-of-Distribution Detection Using Neural Rendering Generative Models
Yujia Huang
Sihui Dai
T. Nguyen
Richard G. Baraniuk
Anima Anandkumar
OODD
30
14
0
10 Jul 2019
Using Self-Supervised Learning Can Improve Model Robustness and
  Uncertainty
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Dan Hendrycks
Mantas Mazeika
Saurav Kadavath
D. Song
OOD
SSL
34
940
0
28 Jun 2019
Detecting Out-of-Distribution Inputs to Deep Generative Models Using
  Typicality
Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality
Eric T. Nalisnick
Akihiro Matsukawa
Yee Whye Teh
Balaji Lakshminarayanan
OODD
42
86
0
07 Jun 2019
Learning to Transfer Examples for Partial Domain Adaptation
Learning to Transfer Examples for Partial Domain Adaptation
Zhangjie Cao
Kaichao You
Mingsheng Long
Jianmin Wang
Qiang Yang
54
274
0
28 Mar 2019
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
119
1,468
0
11 Dec 2018
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
Iterative Projection and Matching: Finding Structure-preserving
  Representatives and Its Application to Computer Vision
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision
M. Joneidi
Alireza Zaeemzadeh
Nazanin Rahnavard
M. Shah
51
13
0
29 Nov 2018
Partial Adversarial Domain Adaptation
Partial Adversarial Domain Adaptation
Zhangjie Cao
Li-jie Ma
Mingsheng Long
Jianmin Wang
80
433
0
10 Aug 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and
  Adversarial Attacks
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
113
2,024
0
10 Jul 2018
Deep Anomaly Detection Using Geometric Transformations
Deep Anomaly Detection Using Geometric Transformations
I. Golan
Ran El-Yaniv
69
603
0
28 May 2018
Open Set Domain Adaptation by Backpropagation
Open Set Domain Adaptation by Backpropagation
Kuniaki Saito
Shohei Yamamoto
Yoshitaka Ushiku
Tatsuya Harada
VLM
48
502
0
27 Apr 2018
Importance Weighted Adversarial Nets for Partial Domain Adaptation
Importance Weighted Adversarial Nets for Partial Domain Adaptation
Jing Zhang
Zewei Ding
W. Li
P. Ogunbona
49
419
0
25 Mar 2018
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Kuniaki Saito
Kohei Watanabe
Yoshitaka Ushiku
Tatsuya Harada
80
1,781
0
07 Dec 2017
VisDA: The Visual Domain Adaptation Challenge
VisDA: The Visual Domain Adaptation Challenge
Xingchao Peng
Ben Usman
Neela Kaushik
Judy Hoffman
Dequan Wang
Kate Saenko
OOD
66
795
0
18 Oct 2017
Partial Transfer Learning with Selective Adversarial Networks
Partial Transfer Learning with Selective Adversarial Networks
Zhangjie Cao
Mingsheng Long
Jianmin Wang
Michael I. Jordan
GAN
58
439
0
25 Jul 2017
Deep Hashing Network for Unsupervised Domain Adaptation
Deep Hashing Network for Unsupervised Domain Adaptation
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
S. Panchanathan
OOD
105
2,030
0
22 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in
  Neural Networks
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang
Yixuan Li
R. Srikant
UQCV
OODD
100
2,054
0
08 Jun 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
221
19,796
0
07 Oct 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
103
3,420
0
07 Oct 2016
Unsupervised Domain Adaptation with Residual Transfer Networks
Unsupervised Domain Adaptation with Residual Transfer Networks
Mingsheng Long
Hanjing Zhu
Jianmin Wang
Michael I. Jordan
OOD
79
1,484
0
14 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
221
5,990
0
26 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
963
99,991
0
04 Sep 2014
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