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Learning from others' mistakes: Avoiding dataset biases without modeling
  them

Learning from others' mistakes: Avoiding dataset biases without modeling them

2 December 2020
Victor Sanh
Thomas Wolf
Yonatan Belinkov
Alexander M. Rush
ArXiv (abs)PDFHTML

Papers citing "Learning from others' mistakes: Avoiding dataset biases without modeling them"

25 / 75 papers shown
Title
Towards Explanation for Unsupervised Graph-Level Representation Learning
Towards Explanation for Unsupervised Graph-Level Representation Learning
Qinghua Zheng
Jihong Wang
Minnan Luo
Yaoliang Yu
Jundong Li
L. Yao
Xiao Chang
61
1
0
20 May 2022
Learning to Split for Automatic Bias Detection
Learning to Split for Automatic Bias Detection
Yujia Bao
Regina Barzilay
67
21
0
28 Apr 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses
Robik Shrestha
Kushal Kafle
Christopher Kanan
CML
102
13
0
05 Apr 2022
Generating Data to Mitigate Spurious Correlations in Natural Language
  Inference Datasets
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets
Yuxiang Wu
Matt Gardner
Pontus Stenetorp
Pradeep Dasigi
95
68
0
24 Mar 2022
ZIN: When and How to Learn Invariance Without Environment Partition?
ZIN: When and How to Learn Invariance Without Environment Partition?
Yong Lin
Shengyu Zhu
Lu Tan
Peng Cui
OODCML
88
69
0
11 Mar 2022
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious
  Correlations from a Feature Perspective
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective
Shihan Dou
Rui Zheng
Ting Wu
Songyang Gao
Junjie Shan
Qi Zhang
Yueming Wu
Xuanjing Huang
111
8
0
16 Feb 2022
General Greedy De-bias Learning
General Greedy De-bias Learning
Xinzhe Han
Shuhui Wang
Chi Su
Qingming Huang
Qi Tian
109
9
0
20 Dec 2021
Combating Unknown Bias with Effective Bias-Conflicting Scoring and
  Gradient Alignment
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment
Bowen Zhao
Chen Chen
Qian-Wei Wang
Anfeng He
Shutao Xia
66
9
0
25 Nov 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods
Uncertainty Calibration for Ensemble-Based Debiasing Methods
Ruibin Xiong
Yimeng Chen
Liang Pang
Xueqi Chen
Yanyan Lan
50
21
0
07 Nov 2021
Robustness Challenges in Model Distillation and Pruning for Natural
  Language Understanding
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding
Mengnan Du
Subhabrata Mukherjee
Yu Cheng
Milad Shokouhi
Helen Zhou
Ahmed Hassan Awadallah
101
13
0
16 Oct 2021
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
Prajjwal Bhargava
Aleksandr Drozd
Anna Rogers
159
108
0
04 Oct 2021
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation
Md. Akmal Haidar
Nithin Anchuri
Mehdi Rezagholizadeh
Abbas Ghaddar
Philippe Langlais
Pascal Poupart
111
22
0
21 Sep 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
Prasetya Ajie Utama
N. Moosavi
Victor Sanh
Iryna Gurevych
AAML
128
36
0
09 Sep 2021
Debiasing Methods in Natural Language Understanding Make Bias More
  Accessible
Debiasing Methods in Natural Language Understanding Make Bias More Accessible
Michael J. Mendelson
Yonatan Belinkov
93
23
0
09 Sep 2021
End-to-End Self-Debiasing Framework for Robust NLU Training
End-to-End Self-Debiasing Framework for Robust NLU Training
Abbas Ghaddar
Philippe Langlais
Mehdi Rezagholizadeh
Ahmad Rashid
UQCV
74
38
0
05 Sep 2021
Don't Discard All the Biased Instances: Investigating a Core Assumption
  in Dataset Bias Mitigation Techniques
Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques
Hossein Amirkhani
Mohammad Taher Pilehvar
52
5
0
01 Sep 2021
A Generative Approach for Mitigating Structural Biases in Natural
  Language Inference
A Generative Approach for Mitigating Structural Biases in Natural Language Inference
Dimion Asael
Zachary M. Ziegler
Yonatan Belinkov
46
8
0
31 Aug 2021
Context-aware Adversarial Training for Name Regularity Bias in Named
  Entity Recognition
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition
Abbas Ghaddar
Philippe Langlais
Ahmad Rashid
Mehdi Rezagholizadeh
124
44
0
24 Jul 2021
Process for Adapting Language Models to Society (PALMS) with
  Values-Targeted Datasets
Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets
Irene Solaiman
Christy Dennison
115
226
0
18 Jun 2021
Learning Stable Classifiers by Transferring Unstable Features
Learning Stable Classifiers by Transferring Unstable Features
Yujia Bao
Shiyu Chang
Regina Barzilay
OOD
82
8
0
15 Jun 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
Yujia Bao
Shiyu Chang
Regina Barzilay
76
21
0
26 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
113
90
0
12 May 2021
Supervising Model Attention with Human Explanations for Robust Natural
  Language Inference
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
Joe Stacey
Yonatan Belinkov
Marek Rei
75
48
0
16 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
79
1
0
01 Apr 2021
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance
Nikolay Dagaev
Brett D. Roads
Xiaoliang Luo
Daniel N. Barry
Kaustubh R. Patil
Bradley C. Love
66
9
0
12 Feb 2021
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