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2106.07171
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Examining and Combating Spurious Features under Distribution Shift
14 June 2021
Chunting Zhou
Xuezhe Ma
Paul Michel
Graham Neubig
OOD
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Papers citing
"Examining and Combating Spurious Features under Distribution Shift"
21 / 21 papers shown
Title
Towards a Better Evaluation of Out-of-Domain Generalization
Duhun Hwang
Suhyun Kang
Moonjung Eo
Jimyeong Kim
Wonjong Rhee
59
0
0
30 May 2024
Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations
GuanWen Qiu
Da Kuang
Surbhi Goel
27
8
0
05 Mar 2024
CURE: Simulation-Augmented Auto-Tuning in Robotics
Md. Abir Hossen
Sonam Kharade
Jason M. O'Kane
B. Schmerl
David Garlan
Pooyan Jamshidi
27
1
0
08 Feb 2024
Spurious Correlations and Where to Find Them
Gautam Sreekumar
Vishnu Naresh Boddeti
CML
20
3
0
21 Aug 2023
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations?
Phuong Quynh Le
Jorg Schlotterer
Christin Seifert
OOD
16
6
0
01 Aug 2023
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator
Elysia Q. Smyers
Sydney M. Katz
Anthony Corso
Mykel J. Kochenderfer
AAML
24
4
0
19 Jun 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
Yangyi Chen
Hongcheng Gao
Ganqu Cui
Lifan Yuan
Dehan Kong
...
Longtao Huang
H. Xue
Zhiyuan Liu
Maosong Sun
Heng Ji
AAML
ELM
27
6
0
29 May 2023
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis
Oscar Chew
Hsuan-Tien Lin
Kai-Wei Chang
Kuan-Hao Huang
34
5
0
23 May 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization
Ting Wu
Rui Zheng
Tao Gui
Qi Zhang
Xuanjing Huang
41
2
0
20 May 2023
How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features
Simone Bombari
Marco Mondelli
AAML
19
4
0
20 May 2023
Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering Models
Lukávs Mikula
Michal vStefánik
Marek Petrovivc
Petr Sojka
33
3
0
11 May 2023
Active learning for data streams: a survey
Davide Cacciarelli
M. Kulahci
28
40
0
17 Feb 2023
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning
Zenglin Shi
Jing Jie
Ying Sun
J. Lim
Mengmi Zhang
CLL
36
1
0
21 Nov 2022
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning
Yue Yu
Chenyan Xiong
Si Sun
Chao Zhang
Arnold Overwijk
VLM
OOD
50
22
0
27 Oct 2022
Distributionally Robust Models with Parametric Likelihood Ratios
Paul Michel
Tatsunori Hashimoto
Graham Neubig
OOD
22
15
0
13 Apr 2022
Understanding Rare Spurious Correlations in Neural Networks
Yao-Yuan Yang
Chi-Ning Chou
Kamalika Chaudhuri
AAML
16
25
0
10 Feb 2022
Learning Robust Convolutional Neural Networks with Relevant Feature Focusing via Explanations
Kazuki Adachi
Shinýa Yamaguchi
OOD
32
0
0
09 Feb 2022
The Effect of Model Size on Worst-Group Generalization
Alan Pham
Eunice Chan
V. Srivatsa
Dhruba Ghosh
Yaoqing Yang
Yaodong Yu
Ruiqi Zhong
Joseph E. Gonzalez
Jacob Steinhardt
20
5
0
08 Dec 2021
Focus on the Common Good: Group Distributional Robustness Follows
Vihari Piratla
Praneeth Netrapalli
Sunita Sarawagi
OOD
26
25
0
06 Oct 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Percy Liang
152
371
0
09 May 2020
From Dependence to Causation
David Lopez-Paz
OOD
CML
58
25
0
12 Jul 2016
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