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Performance Scaling via Optimal Transport: Enabling Data Selection from
  Partially Revealed Sources

Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources

5 July 2023
Feiyang Kang
H. Just
Anit Kumar Sahu
R. Jia
ArXivPDFHTML

Papers citing "Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources"

12 / 12 papers shown
Title
Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing
Debabrota Basu
Debarshi Chanda
41
0
0
10 Mar 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Yulei Qin
Yuncheng Yang
Pengcheng Guo
Gang Li
Hang Shao
Yuchen Shi
Zihan Xu
Yun Gu
Ke Li
Xing Sun
ALM
88
12
0
31 Dec 2024
TAROT: Targeted Data Selection via Optimal Transport
TAROT: Targeted Data Selection via Optimal Transport
Lan Feng
Fan Nie
Yuejiang Liu
Alexandre Alahi
OT
125
1
0
30 Nov 2024
MYCROFT: Towards Effective and Efficient External Data Augmentation
MYCROFT: Towards Effective and Efficient External Data Augmentation
Zain Sarwar
Van-Tai Tran
A. Bhagoji
Nick Feamster
Ben Y. Zhao
Supriyo Chakraborty
27
0
0
11 Oct 2024
Get more for less: Principled Data Selection for Warming Up Fine-Tuning
  in LLMs
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
Feiyang Kang
H. Just
Yifan Sun
Himanshu Jahagirdar
Yuanzhi Zhang
Rongxing Du
Anit Kumar Sahu
Ruoxi Jia
54
17
0
05 May 2024
Fair Classification with Partial Feedback: An Exploration-Based Data
  Collection Approach
Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach
Vijay Keswani
Anay Mehrotra
L. E. Celis
FaML
30
0
0
17 Feb 2024
Scaling laws for learning with real and surrogate data
Scaling laws for learning with real and surrogate data
Ayush Jain
Andrea Montanari
Eren Sasoglu
35
11
0
06 Feb 2024
Data Valuation and Detections in Federated Learning
Data Valuation and Detections in Federated Learning
Wenqian Li
Shuran Fu
Fengrui Zhang
Yan Pang
FedML
TDI
24
4
0
09 Nov 2023
Revisiting Neural Scaling Laws in Language and Vision
Revisiting Neural Scaling Laws in Language and Vision
Ibrahim M. Alabdulmohsin
Behnam Neyshabur
Xiaohua Zhai
151
102
0
13 Sep 2022
Geometric Dataset Distances via Optimal Transport
Geometric Dataset Distances via Optimal Transport
David Alvarez-Melis
Nicolò Fusi
OT
70
192
0
07 Feb 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
226
4,453
0
23 Jan 2020
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,170
0
01 Sep 2014
1