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"

30 / 80 papers shown
Title
COVR: A test-bed for Visually Grounded Compositional Generalization with
  real images
COVR: A test-bed for Visually Grounded Compositional Generalization with real images
Ben Bogin
Shivanshu Gupta
Matt Gardner
Jonathan Berant
CoGe
39
29
0
22 Sep 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
Greedy Gradient Ensemble for Robust Visual Question Answering
Greedy Gradient Ensemble for Robust Visual Question Answering
Xinzhe Han
Shuhui Wang
Chi Su
Qingming Huang
Q. Tian
26
75
0
27 Jul 2021
X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization
  in Visual Question Answering
X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering
Jingjing Jiang
Zi-yi Liu
Yifan Liu
Zhixiong Nan
N. Zheng
OOD
36
19
0
24 Jul 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
18
108
0
17 Jun 2021
How Modular Should Neural Module Networks Be for Systematic
  Generalization?
How Modular Should Neural Module Networks Be for Systematic Generalization?
Vanessa D’Amario
Tomotake Sasaki
Xavier Boix
15
17
0
15 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
30
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
Deconfounded Video Moment Retrieval with Causal Intervention
Deconfounded Video Moment Retrieval with Causal Intervention
Xun Yang
Fuli Feng
Wei Ji
Meng Wang
Tat-Seng Chua
CML
VGen
42
187
0
03 Jun 2021
Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA
  Models
Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models
Linjie Li
Jie Lei
Zhe Gan
Jingjing Liu
AAML
VLM
25
70
0
01 Jun 2021
LPF: A Language-Prior Feedback Objective Function for De-biased Visual
  Question Answering
LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering
Zujie Liang
Haifeng Hu
Jiaying Zhu
45
38
0
29 May 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
51
87
0
12 May 2021
How Transferable are Reasoning Patterns in VQA?
How Transferable are Reasoning Patterns in VQA?
Corentin Kervadec
Theo Jaunet
G. Antipov
M. Baccouche
Romain Vuillemot
Christian Wolf
LRM
23
28
0
08 Apr 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
Improved and efficient inter-vehicle distance estimation using road
  gradients of both ego and target vehicles
Improved and efficient inter-vehicle distance estimation using road gradients of both ego and target vehicles
Robik Shrestha
Jinkyu Lee
Kushal Kafle
S. Hwang
Il Yong Chun
14
1
0
01 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
18
16
0
04 Mar 2021
Deep Gait Recognition: A Survey
Deep Gait Recognition: A Survey
Alireza Sepas-Moghaddam
Ali Etemad
CVBM
32
173
0
18 Feb 2021
Answer Questions with Right Image Regions: A Visual Attention
  Regularization Approach
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach
Yue 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
Data and its (dis)contents: A survey of dataset development and use in
  machine learning research
Data and its (dis)contents: A survey of dataset development and use in machine learning research
Amandalynne Paullada
Inioluwa Deborah Raji
Emily M. Bender
Emily L. Denton
A. Hanna
57
512
0
09 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
Towards Debiasing NLU Models from Unknown Biases
Towards Debiasing NLU Models from Unknown Biases
Prasetya Ajie Utama
N. Moosavi
Iryna Gurevych
19
154
0
25 Sep 2020
Latent Compositional Representations Improve Systematic Generalization
  in Grounded Question Answering
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering
Ben Bogin
Sanjay Subramanian
Matt Gardner
Jonathan Berant
ReLM
OOD
BDL
LRM
14
28
0
01 Jul 2020
Overcoming Statistical Shortcuts for Open-ended Visual Counting
Overcoming Statistical Shortcuts for Open-ended Visual Counting
Corentin Dancette
Rémi Cadène
Xinlei Chen
Matthieu Cord
13
3
0
17 Jun 2020
Roses Are Red, Violets Are Blue... but Should Vqa Expect Them To?
Roses Are Red, Violets Are Blue... but Should Vqa Expect Them To?
Corentin Kervadec
G. Antipov
M. Baccouche
Christian Wolf
OOD
18
88
0
09 Jun 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
56
395
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
Unshuffling Data for Improved Generalization
Unshuffling Data for Improved Generalization
Damien Teney
Ehsan Abbasnejad
Anton Van Den Hengel
OOD
31
76
0
27 Feb 2020
Neural Conversational QA: Learning to Reason v.s. Exploiting Patterns
Neural Conversational QA: Learning to Reason v.s. Exploiting Patterns
Nikhil Verma
Abhishek Sharma
Dhiraj Madan
Danish Contractor
Harshit Kumar
Sachindra Joshi
26
2
0
09 Sep 2019
Previous
12