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Farzi Data: Autoregressive Data Distillation

Farzi Data: Autoregressive Data Distillation

15 October 2023
Noveen Sachdeva
Zexue He
Wang-Cheng Kang
Jianmo Ni
D. Cheng
Julian McAuley
    DD
ArXivPDFHTML

Papers citing "Farzi Data: Autoregressive Data Distillation"

8 / 8 papers shown
Title
Distilling Dataset into Neural Field
DongHyeok Shin
Heesun Bae
Gyuwon Sim
Wanmo Kang
Il-Chul Moon
DD
58
1
0
05 Mar 2025
How to Train Data-Efficient LLMs
How to Train Data-Efficient LLMs
Noveen Sachdeva
Benjamin Coleman
Wang-Cheng Kang
Jianmo Ni
Lichan Hong
Ed H. Chi
James Caverlee
Julian McAuley
D. Cheng
11
50
0
15 Feb 2024
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
Jiachen T. Wang
R. Jia
FedML
TDI
44
52
0
30 May 2022
Filter-enhanced MLP is All You Need for Sequential Recommendation
Filter-enhanced MLP is All You Need for Sequential Recommendation
Kun Zhou
Hui Yu
Wayne Xin Zhao
Ji-Rong Wen
75
251
0
28 Feb 2022
Dataset Condensation with Differentiable Siamese Augmentation
Dataset Condensation with Differentiable Siamese Augmentation
Bo-Lu Zhao
Hakan Bilen
DD
183
219
0
16 Feb 2021
Semi-supervised Batch Active Learning via Bilevel Optimization
Semi-supervised Batch Active Learning via Bilevel Optimization
Zalan Borsos
Marco Tagliasacchi
Andreas Krause
14
22
0
19 Oct 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
220
3,054
0
23 Jan 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
234
11,568
0
09 Mar 2017
1