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Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey
  with Causality Perspectives

Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality Perspectives

31 July 2023
Haoyang Liu
Maheep Chaudhary
Haohan Wang
ArXivPDFHTML

Papers citing "Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality Perspectives"

5 / 5 papers shown
Title
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Ruta Binkyte
Ivaxi Sheth
Zhijing Jin
Mohammad Havaei
Bernhard Schölkopf
Mario Fritz
446
1
0
28 Feb 2025
Measuring Error Alignment for Decision-Making Systems
Measuring Error Alignment for Decision-Making Systems
Binxia Xu
Antonis Bikakis
Daniel Onah
A. Vlachidis
Luke Dickens
71
0
0
03 Jan 2025
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning
Huaiguang Cai
FedML
TDI
103
1
0
17 Jun 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
Eric Xue
Yijiang Li
Haoyang Liu
Yifan Shen
Haohan Wang
Haohan Wang
DD
109
8
0
15 Mar 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
Haoyang Liu
Aditya Singh
Yijiang Li
Haohan Wang
AAML
ViT
92
1
0
15 Mar 2024
1