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Data Augmentations for Improved (Large) Language Model Generalization

Data Augmentations for Improved (Large) Language Model Generalization

19 October 2023
Amir Feder
Yoav Wald
Claudia Shi
S. Saria
David M. Blei
    OOD
    CML
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Papers citing "Data Augmentations for Improved (Large) Language Model Generalization"

9 / 9 papers shown
Title
Learning Counterfactual Outcomes Under Rank Preservation
Peng Wu
Haoxuan Li
Chunyuan Zheng
Yan Zeng
Jiawei Chen
Yang Liu
Ruocheng Guo
K. Zhang
59
0
0
10 Feb 2025
Estimating Causal Effects of Text Interventions Leveraging LLMs
Estimating Causal Effects of Text Interventions Leveraging LLMs
Siyi Guo
Myrl G. Marmarelis
Fred Morstatter
Kristina Lerman
CML
120
0
0
28 Oct 2024
FaceMixup: Enhancing Facial Expression Recognition through Mixed Face
  Regularization
FaceMixup: Enhancing Facial Expression Recognition through Mixed Face Regularization
Fabio A. Faria
Mateus M. Souza
R. F. D. S. Teixeira
Maurício Pamplona Segundo
42
0
0
30 May 2024
Nuisances via Negativa: Adjusting for Spurious Correlations via Data
  Augmentation
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation
A. Puli
Nitish Joshi
Yoav Wald
Hera Y. He
Rajesh Ranganath
27
16
0
04 Oct 2022
Causal Proxy Models for Concept-Based Model Explanations
Causal Proxy Models for Concept-Based Model Explanations
Zhengxuan Wu
Karel DÓosterlinck
Atticus Geiger
Amir Zur
Christopher Potts
MILM
71
35
0
28 Sep 2022
Invariant and Transportable Representations for Anti-Causal Domain
  Shifts
Invariant and Transportable Representations for Anti-Causal Domain Shifts
Yibo Jiang
Victor Veitch
OOD
121
32
0
04 Jul 2022
Optimization-based Causal Estimation from Heterogenous Environments
Optimization-based Causal Estimation from Heterogenous Environments
Mingzhang Yin
Yixin Wang
David M. Blei
OOD
82
17
0
24 Sep 2021
Does Invariant Risk Minimization Capture Invariance?
Does Invariant Risk Minimization Capture Invariance?
Pritish Kamath
Akilesh Tangella
Danica J. Sutherland
Nathan Srebro
OOD
196
125
0
04 Jan 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
900
0
02 Mar 2020
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