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On the Limitations of Dataset Balancing: The Lost Battle Against
  Spurious Correlations

On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations

27 April 2022
Roy Schwartz
Gabriel Stanovsky
ArXivPDFHTML

Papers citing "On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations"

21 / 21 papers shown
Title
Beyond Benchmarks: On The False Promise of AI Regulation
Gabriel Stanovsky
Renana Keydar
Gadi Perl
Eliya Habba
39
1
0
28 Jan 2025
On the Shortcut Learning in Multilingual Neural Machine Translation
On the Shortcut Learning in Multilingual Neural Machine Translation
Wenxuan Wang
Wenxiang Jiao
Jen-tse Huang
Zhaopeng Tu
Michael R. Lyu
75
1
0
15 Nov 2024
Effective Guidance for Model Attention with Simple Yes-no Annotations
Effective Guidance for Model Attention with Simple Yes-no Annotations
Seongmin Lee
Ali Payani
Duen Horng Chau
FAtt
35
0
0
29 Oct 2024
Optimizing importance weighting in the presence of sub-population shifts
Optimizing importance weighting in the presence of sub-population shifts
Floris Holstege
Bram Wouters
Noud van Giersbergen
C. Diks
24
0
0
18 Oct 2024
Compare without Despair: Reliable Preference Evaluation with Generation
  Separability
Compare without Despair: Reliable Preference Evaluation with Generation Separability
Sayan Ghosh
Tejas Srinivasan
Swabha Swayamdipta
32
2
0
02 Jul 2024
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training
Stefan Arnold
Rene Gröbner
Annika Schreiner
27
0
0
30 Jun 2024
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via
  Data Selection
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection
Saachi Jain
Kimia Hamidieh
Kristian Georgiev
Andrew Ilyas
Marzyeh Ghassemi
Aleksander Madry
33
2
0
24 Jun 2024
Principles from Clinical Research for NLP Model Generalization
Principles from Clinical Research for NLP Model Generalization
Aparna Elangovan
Jiayuan He
Yuan Li
Karin Verspoor
CML
14
3
0
07 Nov 2023
Stubborn Lexical Bias in Data and Models
Stubborn Lexical Bias in Data and Models
Sofia Serrano
Jesse Dodge
Noah A. Smith
27
2
0
03 Jun 2023
Fighting Bias with Bias: Promoting Model Robustness by Amplifying
  Dataset Biases
Fighting Bias with Bias: Promoting Model Robustness by Amplifying Dataset Biases
Yuval Reif
Roy Schwartz
17
7
0
30 May 2023
Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender
  Bias Evaluation in Coreference Resolution
Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference Resolution
Gili Lior
Gabriel Stanovsky
24
4
0
24 May 2023
On Degrees of Freedom in Defining and Testing Natural Language
  Understanding
On Degrees of Freedom in Defining and Testing Natural Language Understanding
Saku Sugawara
S. Tsugita
ELM
21
1
0
24 May 2023
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and
  Text-to-Image Models
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models
Yuwei Yin
Jean Kaddour
Xiang Zhang
Yixin Nie
Zhenguang Liu
Lingpeng Kong
Qi Liu
DiffM
21
10
0
18 Apr 2023
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in
  Natural Language Inference
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference
S. Rajaee
Yadollah Yaghoobzadeh
Mohammad Taher Pilehvar
23
5
0
07 Nov 2022
Are All Spurious Features in Natural Language Alike? An Analysis through
  a Causal Lens
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens
Nitish Joshi
X. Pan
Hengxing He
CML
44
28
0
25 Oct 2022
Informativeness and Invariance: Two Perspectives on Spurious
  Correlations in Natural Language
Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language
Jacob Eisenstein
CML
26
25
0
09 Apr 2022
Deduplicating Training Data Makes Language Models Better
Deduplicating Training Data Makes Language Models Better
Katherine Lee
Daphne Ippolito
A. Nystrom
Chiyuan Zhang
Douglas Eck
Chris Callison-Burch
Nicholas Carlini
SyDa
237
588
0
14 Jul 2021
Competency Problems: On Finding and Removing Artifacts in Language Data
Competency Problems: On Finding and Removing Artifacts in Language Data
Matt Gardner
William Merrill
Jesse Dodge
Matthew E. Peters
Alexis Ross
Sameer Singh
Noah A. Smith
161
107
0
17 Apr 2021
With Little Power Comes Great Responsibility
With Little Power Comes Great Responsibility
Dallas Card
Peter Henderson
Urvashi Khandelwal
Robin Jia
Kyle Mahowald
Dan Jurafsky
225
115
0
13 Oct 2020
Knowledge Enhanced Contextual Word Representations
Knowledge Enhanced Contextual Word Representations
Matthew E. Peters
Mark Neumann
IV RobertL.Logan
Roy Schwartz
Vidur Joshi
Sameer Singh
Noah A. Smith
224
655
0
09 Sep 2019
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
187
576
0
02 May 2018
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