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. 2005.09241
  4. Cited By
On the Value of Out-of-Distribution Testing: An Example of Goodhart's
  Law

On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law

19 May 2020
Damien Teney
Kushal Kafle
Robik Shrestha
Ehsan Abbasnejad
Christopher Kanan
Anton Van Den Hengel
    OODD
    OOD
ArXivPDFHTML

Papers citing "On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law"

26 / 26 papers shown
Title
Holistic chemical evaluation reveals pitfalls in reaction prediction
  models
Holistic chemical evaluation reveals pitfalls in reaction prediction models
Victor Sabanza Gil
Andres M Bran
Malte Franke
Remi Schlama
J. Luterbacher
Philippe Schwaller
ELM
30
1
0
14 Dec 2023
Classical Out-of-Distribution Detection Methods Benchmark in Text
  Classification Tasks
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks
M. Baran
Joanna Baran
Mateusz Wójcik
Maciej Ziȩba
Adam Gonczarek
OODD
44
4
0
13 Jul 2023
Selective Mixup Helps with Distribution Shifts, But Not (Only) because
  of Mixup
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup
Damien Teney
Jindong Wang
Ehsan Abbasnejad
30
6
0
26 May 2023
HICO-DET-SG and V-COCO-SG: New Data Splits for Evaluating the Systematic
  Generalization Performance of Human-Object Interaction Detection Models
HICO-DET-SG and V-COCO-SG: New Data Splits for Evaluating the Systematic Generalization Performance of Human-Object Interaction Detection Models
Kenta Takemoto
Moyuru Yamada
Tomotake Sasaki
H. Akima
37
0
0
17 May 2023
Divide and Conquer: Answering Questions with Object Factorization and
  Compositional Reasoning
Divide and Conquer: Answering Questions with Object Factorization and Compositional Reasoning
Shi Chen
Qi Zhao
47
5
0
18 Mar 2023
Towards Robust Visual Question Answering: Making the Most of Biased
  Samples via Contrastive Learning
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning
Q. Si
Yuanxin Liu
Fandong Meng
Zheng Lin
Peng Fu
Yanan Cao
Weiping Wang
Jie Zhou
37
23
0
10 Oct 2022
Visual Perturbation-aware Collaborative Learning for Overcoming the
  Language Prior Problem
Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem
Yudong Han
Liqiang Nie
Jianhua Yin
Jianlong Wu
Yan Yan
26
13
0
24 Jul 2022
Predicting is not Understanding: Recognizing and Addressing
  Underspecification in Machine Learning
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning
Damien Teney
Maxime Peyrard
Ehsan Abbasnejad
38
29
0
06 Jul 2022
Systematicity, Compositionality and Transitivity of Deep NLP Models: a
  Metamorphic Testing Perspective
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective
Edoardo Manino
Julia Rozanova
Danilo S. Carvalho
André Freitas
Lucas C. Cordeiro
30
7
0
26 Apr 2022
Weakly-Supervised Video Object Grounding via Causal Intervention
Weakly-Supervised Video Object Grounding via Causal Intervention
Wei Wang
Junyu Gao
Changsheng Xu
CML
30
20
0
01 Dec 2021
Language bias in Visual Question Answering: A Survey and Taxonomy
Language bias in Visual Question Answering: A Survey and Taxonomy
Desen Yuan
30
12
0
16 Nov 2021
Introspective Distillation for Robust Question Answering
Introspective Distillation for Robust Question Answering
Yulei Niu
Hanwang Zhang
24
59
0
01 Nov 2021
Counterfactual Samples Synthesizing and Training for Robust Visual
  Question Answering
Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering
Long Chen
Yuhang Zheng
Yulei Niu
Hanwang Zhang
Jun Xiao
AAML
OOD
21
36
0
03 Oct 2021
Discovering the Unknown Knowns: Turning Implicit Knowledge in the
  Dataset into Explicit Training Examples for Visual Question Answering
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering
Jihyung Kil
Cheng Zhang
D. Xuan
Wei-Lun Chao
61
20
0
13 Sep 2021
Learning to Predict Visual Attributes in the Wild
Learning to Predict Visual Attributes in the Wild
Khoi Pham
Kushal Kafle
Zhe-nan Lin
Zhi Ding
Scott D. Cohen
Q. Tran
Abhinav Shrivastava
16
108
0
17 Jun 2021
Supervising the Transfer of Reasoning Patterns in VQA
Supervising the Transfer of Reasoning Patterns in VQA
Corentin Kervadec
Christian Wolf
G. Antipov
M. Baccouche
Madiha Nadri Wolf
27
10
0
10 Jun 2021
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused
  Interventions
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions
Daniel Rosenberg
Itai Gat
Amir Feder
Roi Reichart
AAML
39
16
0
08 Jun 2021
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers
  Solutions with Superior OOD Generalization
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization
Damien Teney
Ehsan Abbasnejad
Simon Lucey
Anton Van Den Hengel
28
87
0
12 May 2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in
  Visual Question Answering
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering
Corentin Dancette
Rémi Cadène
Damien Teney
Matthieu Cord
CML
28
76
0
07 Apr 2021
VisQA: X-raying Vision and Language Reasoning in Transformers
VisQA: X-raying Vision and Language Reasoning in Transformers
Theo Jaunet
Corentin Kervadec
Romain Vuillemot
G. Antipov
M. Baccouche
Christian Wolf
19
26
0
02 Apr 2021
Detecting Spurious Correlations with Sanity Tests for Artificial
  Intelligence Guided Radiology Systems
Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems
U. Mahmood
Robik Shrestha
D. Bates
L. Mannelli
G. Corrias
Y. Erdi
Christopher Kanan
16
16
0
04 Mar 2021
Answer Questions with Right Image Regions: A Visual Attention
  Regularization Approach
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach
Y. Liu
Yangyang Guo
Jianhua Yin
Xuemeng Song
Weifeng Liu
Liqiang Nie
29
28
0
03 Feb 2021
A Closer Look at the Robustness of Vision-and-Language Pre-trained
  Models
A Closer Look at the Robustness of Vision-and-Language Pre-trained Models
Linjie Li
Zhe Gan
Jingjing Liu
VLM
33
42
0
15 Dec 2020
WeaQA: Weak Supervision via Captions for Visual Question Answering
WeaQA: Weak Supervision via Captions for Visual Question Answering
Pratyay Banerjee
Tejas Gokhale
Yezhou Yang
Chitta Baral
25
35
0
04 Dec 2020
Counterfactual VQA: A Cause-Effect Look at Language Bias
Counterfactual VQA: A Cause-Effect Look at Language Bias
Yulei Niu
Kaihua Tang
Hanwang Zhang
Zhiwu Lu
Xiansheng Hua
Ji-Rong Wen
CML
53
394
0
08 Jun 2020
Counterfactual Samples Synthesizing for Robust Visual Question Answering
Counterfactual Samples Synthesizing for Robust Visual Question Answering
Long Chen
Xin Yan
Jun Xiao
Hanwang Zhang
Shiliang Pu
Yueting Zhuang
OOD
AAML
154
290
0
14 Mar 2020
1