ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2209.09616
  4. Cited By
Provably Uncertainty-Guided Universal Domain Adaptation

Provably Uncertainty-Guided Universal Domain Adaptation

19 September 2022
Yifan Wang
Lin Zhang
Ran Song
Paul L. Rosin
Yibin Li
Wei Emma Zhang
    OOD
    UQCV
ArXivPDFHTML

Papers citing "Provably Uncertainty-Guided Universal Domain Adaptation"

50 / 56 papers shown
Title
A Survey for Large Language Models in Biomedicine
A Survey for Large Language Models in Biomedicine
Chong Wang
Mengyao Li
Junjun He
Zhongruo Wang
Erfan Darzi
...
Yi Yu
Pietro Liò
Tianyun Wang
Yu Guang Wang
Yiqing Shen
LM&MA
92
13
0
29 Aug 2024
Automatic Dataset Construction (ADC): Sample Collection, Data Curation,
  and Beyond
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond
Minghao Liu
Zonglin Di
Jiaheng Wei
Zhongruo Wang
Hengxiang Zhang
...
Haobo Wang
Lei Feng
Jindong Wang
James Davis
Yang Liu
68
7
0
21 Aug 2024
A Survey for Foundation Models in Autonomous Driving
A Survey for Foundation Models in Autonomous Driving
Haoxiang Gao
Yaqian Li
Kaiwen Long
Ming Yang
Yiqing Shen
VLM
LRM
75
29
0
02 Feb 2024
Graph Neural Networks in EEG-based Emotion Recognition: A Survey
Graph Neural Networks in EEG-based Emotion Recognition: A Survey
Chenyu Liu
Xin-qiu Zhou
Yihao Wu
Ruizhi Yang
Liming Zhai
Ziyu Jia
Yang Liu
Yang Liu
AI4TS
53
12
0
02 Feb 2024
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
Yu Wang
Pengchong Qiao
Chang-rui Liu
Guoli Song
Xiawu Zheng
Jie Chen
OODD
61
11
0
29 May 2023
Interpretable and Robust AI in EEG Systems: A Survey
Interpretable and Robust AI in EEG Systems: A Survey
Xin-qiu Zhou
Chenyu Liu
Liming Zhai
Ziyu Jia
Cuntai Guan
Yang Liu
AAML
107
21
0
21 Apr 2023
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain
  Adaptation
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation
Yifan Wang
Lin Zhang
Ran Song
Hongliang Li
Lin Ma
Wei Emma Zhang
53
6
0
19 Jul 2022
Out-of-Distribution Detection with Deep Nearest Neighbors
Out-of-Distribution Detection with Deep Nearest Neighbors
Yiyou Sun
Yifei Ming
Xiaojin Zhu
Yixuan Li
OODD
172
512
0
13 Apr 2022
OVANet: One-vs-All Network for Universal Domain Adaptation
OVANet: One-vs-All Network for Universal Domain Adaptation
Kuniaki Saito
Kate Saenko
85
149
0
07 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
71
339
0
22 Mar 2021
Dynamic Weighted Learning for Unsupervised Domain Adaptation
Dynamic Weighted Learning for Unsupervised Domain Adaptation
Ning Xiao
Lei Zhang
35
145
0
22 Mar 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
101
149
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
51
130
0
22 Jul 2020
Regularizing Deep Networks with Semantic Data Augmentation
Regularizing Deep Networks with Semantic Data Augmentation
Yulin Wang
Gao Huang
Shiji Song
Xuran Pan
Yitong Xia
Cheng Wu
76
157
0
21 Jul 2020
A Manifold Proximal Linear Method for Sparse Spectral Clustering with
  Application to Single-Cell RNA Sequencing Data Analysis
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis
Zhongruo Wang
Bingyuan Liu
Shixiang Chen
Shiqian Ma
Lingzhou Xue
Hongyu Zhao
18
21
0
18 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
65
598
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
105
240
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
61
342
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
73
570
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
77
320
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
361
42,299
0
03 Dec 2019
Nonconvex Stochastic Nested Optimization via Stochastic ADMM
Nonconvex Stochastic Nested Optimization via Stochastic ADMM
Zhongruo Wang
26
2
0
12 Nov 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
126
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
45
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
42
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
40
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
56
944
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
47
86
0
07 Jun 2019
Likelihood Ratios for Out-of-Distribution Detection
Likelihood Ratios for Out-of-Distribution Detection
Jie Jessie Ren
Peter J. Liu
Emily Fertig
Jasper Snoek
Ryan Poplin
M. DePristo
Joshua V. Dillon
Balaji Lakshminarayanan
OODD
164
720
0
07 Jun 2019
Out-of-Distribution Detection for Generalized Zero-Shot Action
  Recognition
Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
Devraj Mandal
Sanath Narayan
Sai Kumar Dwivedi
Vikram Gupta
Shuaib Ahmed
Fahad Shahbaz Khan
Ling Shao
OODD
42
142
0
18 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
142
1,156
0
10 Apr 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
60
274
0
28 Mar 2019
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Guoliang Kang
Lu Jiang
Yi Yang
Alexander G. Hauptmann
100
834
0
04 Jan 2019
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
163
1,475
0
11 Dec 2018
Classification-Reconstruction Learning for Open-Set Recognition
Classification-Reconstruction Learning for Open-Set Recognition
Ryota Yoshihashi
Wen Shao
Rei Kawakami
Shaodi You
M. Iida
T. Naemura
BDL
55
325
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
128
1,788
0
04 Dec 2018
Out-of-Distribution Detection Using an Ensemble of Self Supervised
  Leave-out Classifiers
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers
Apoorv Vyas
Nataraj Jammalamadaka
Xia Zhu
Dipankar Das
Bharat Kaul
Theodore L. Willke
OODD
49
246
0
04 Sep 2018
Out-of-Distribution Detection using Multiple Semantic Label
  Representations
Out-of-Distribution Detection using Multiple Semantic Label Representations
Gabi Shalev
Yossi Adi
Joseph Keshet
OODD
67
85
0
20 Aug 2018
Partial Adversarial Domain Adaptation
Partial Adversarial Domain Adaptation
Zhangjie Cao
Li-jie Ma
Mingsheng Long
Jianmin Wang
83
436
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
157
2,044
0
10 Jul 2018
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Stanislav Pidhorskyi
Ranya Almohsen
Donald Adjeroh
Gianfranco Doretto
UQCV
40
321
0
06 Jul 2018
Deep Anomaly Detection Using Geometric Transformations
Deep Anomaly Detection Using Geometric Transformations
I. Golan
Ran El-Yaniv
86
606
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
71
505
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
64
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
95
1,786
0
07 Dec 2017
Training Confidence-calibrated Classifiers for Detecting
  Out-of-Distribution Samples
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee
Honglak Lee
Kibok Lee
Jinwoo Shin
OODD
113
881
0
26 Nov 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
271
9,743
0
25 Oct 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
81
800
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
72
439
0
25 Jul 2017
12
Next