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2410.08000
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AHA: Human-Assisted Out-of-Distribution Generalization and Detection
10 October 2024
Haoyue Bai
Jifan Zhang
Robert Nowak
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Papers citing
"AHA: Human-Assisted Out-of-Distribution Generalization and Detection"
48 / 48 papers shown
Title
Going Beyond Conventional OOD Detection
Sudarshan Regmi
OODD
106
1
0
16 Nov 2024
Deep Active Learning in the Open World
Tian Xie
Jifan Zhang
Haoyue Bai
R. Nowak
VLM
405
3
0
10 Nov 2024
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data
Ryan Benkert
Mohit Prabhushankar
Ghassan AlRegib
OODD
OOD
55
9
0
12 Jan 2023
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios
Xueying Zhan
Zeyu Dai
Qingzhong Wang
Qing Li
Haoyi Xiong
Dejing Dou
Antoni B. Chan
OODD
41
3
0
04 Jul 2022
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels
Mohamad Amin Mohamadi
Wonho Bae
Danica J. Sutherland
67
21
0
25 Jun 2022
Out-of-Distribution Detection with Deep Nearest Neighbors
Yiyou Sun
Yifei Ming
Xiaojin Zhu
Yixuan Li
OODD
200
529
0
13 Apr 2022
Continual Test-Time Domain Adaptation
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OOD
TTA
109
431
0
25 Mar 2022
Active Learning at the ImageNet Scale
Z. Emam
Hong-Min Chu
Ping Yeh-Chiang
W. Czaja
R. Leapman
Micah Goldblum
Tom Goldstein
69
35
0
25 Nov 2021
Batch Active Learning at Scale
Gui Citovsky
Giulia DeSalvo
Claudio Gentile
Lazaros Karydas
Anand Rajagopalan
Afshin Rostamizadeh
Sanjiv Kumar
62
156
0
29 Jul 2021
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
Suraj Kothawade
Nathan Beck
Krishnateja Killamsetty
Rishabh K. Iyer
52
106
0
01 Jul 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
Nanyang Ye
Kaican Li
Haoyue Bai
Runpeng Yu
Lanqing Hong
Fengwei Zhou
Zhenguo Li
Jun Zhu
CML
OOD
80
110
0
07 Jun 2021
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
Daehee Kim
Seunghyun Park
Jinkyu Kim
Jaekoo Lee
OOD
SSL
127
272
0
20 Apr 2021
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
248
1,019
0
03 Mar 2021
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha
Sanghyuk Chun
Kyungjae Lee
Han-Cheol Cho
Seunghyun Park
Yunsung Lee
Sungrae Park
MoMe
301
458
0
17 Feb 2021
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation
Haoyue Bai
Rui Sun
Lanqing Hong
Fengwei Zhou
Nanyang Ye
Han-Jia Ye
Shueng-Han Gary Chan
Zhenguo Li
OOD
OODD
CML
71
79
0
17 Dec 2020
The Risks of Invariant Risk Minimization
Elan Rosenfeld
Pradeep Ravikumar
Andrej Risteski
OOD
86
312
0
12 Oct 2020
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
271
1,371
0
08 Oct 2020
A Brief Review of Domain Adaptation
Abolfazl Farahani
Sahar Voghoei
Khaled Rasheed
H. Arabnia
OOD
56
545
0
07 Oct 2020
Heterogeneous Domain Generalization via Domain Mixup
Yufei Wang
Haoliang Li
Alex C. Kot
OOD
57
144
0
11 Sep 2020
Self-Challenging Improves Cross-Domain Generalization
Zeyi Huang
Haohan Wang
Eric Xing
Dong Huang
OOD
93
632
0
05 Jul 2020
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
91
1,156
0
02 Jul 2020
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits
Julian Katz-Samuels
Lalit P. Jain
Zohar Karnin
Kevin Jamieson
161
67
0
21 Jun 2020
Learning to Learn Single Domain Generalization
Fengchun Qiao
Long Zhao
Xi Peng
OOD
130
443
0
30 Mar 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation
Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
OOD
299
411
0
12 Mar 2020
Invariant Risk Minimization Games
Kartik Ahuja
Karthikeyan Shanmugam
Kush R. Varshney
Amit Dhurandhar
OOD
74
251
0
11 Feb 2020
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa
Pang Wei Koh
Tatsunori B. Hashimoto
Percy Liang
OOD
108
1,248
0
20 Nov 2019
Discriminative Active Learning
Daniel Gissin
Shai Shalev-Shwartz
58
178
0
15 Jul 2019
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
195
2,242
0
05 Jul 2019
Sequential Experimental Design for Transductive Linear Bandits
Tanner Fiez
Lalit P. Jain
Kevin Jamieson
Lillian J. Ratliff
72
109
0
20 Jun 2019
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
Jordan T. Ash
Chicheng Zhang
A. Krishnamurthy
John Langford
Alekh Agarwal
BDL
UQCV
88
777
0
09 Jun 2019
Diverse mini-batch Active Learning
Fedor Zhdanov
59
155
0
17 Jan 2019
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem
Matthias Hein
Maksym Andriushchenko
Julian Bitterwolf
OODD
170
559
0
13 Dec 2018
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
183
1,487
0
11 Dec 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
192
2,062
0
10 Jul 2018
Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
Dan Hendrycks
Thomas G. Dietterich
OOD
82
200
0
04 Jul 2018
Adversarial Active Learning for Deep Networks: a Margin Based Approach
Mélanie Ducoffe
F. Precioso
GAN
AAML
138
276
0
27 Feb 2018
Domain Generalization by Marginal Transfer Learning
Gilles Blanchard
A. Deshmukh
Ürün Dogan
Gyemin Lee
Clayton Scott
OOD
99
286
0
21 Nov 2017
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
289
9,803
0
25 Oct 2017
Learning to Generalize: Meta-Learning for Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
102
1,427
0
10 Oct 2017
Deeper, Broader and Artier Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
124
1,451
0
09 Oct 2017
Deep Bayesian Active Learning with Image Data
Y. Gal
Riashat Islam
Zoubin Ghahramani
BDL
UQCV
73
1,739
0
08 Mar 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
168
3,472
0
07 Oct 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
105
3,165
0
06 Jul 2016
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
351
8,000
0
23 May 2016
Efficient and Parsimonious Agnostic Active Learning
Tzu-Kuo Huang
Alekh Agarwal
Daniel J. Hsu
John Langford
Robert Schapire
134
47
0
29 Jun 2015
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
390
9,515
0
28 May 2015
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
235
6,041
0
26 Sep 2014
Describing Textures in the Wild
Mircea Cimpoi
Subhransu Maji
Iasonas Kokkinos
S. Mohamed
Andrea Vedaldi
3DV
144
2,689
0
14 Nov 2013
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