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A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your
  Pre-training Effective?

A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?

25 August 2021
Hiroaki Mikami
Kenji Fukumizu
Shogo Murai
Shuji Suzuki
Yuta Kikuchi
Taiji Suzuki
S. Maeda
Kohei Hayashi
ArXivPDFHTML

Papers citing "A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?"

14 / 14 papers shown
Title
(Mis)Fitting: A Survey of Scaling Laws
(Mis)Fitting: A Survey of Scaling Laws
Margaret Li
Sneha Kudugunta
Luke Zettlemoyer
69
2
0
26 Feb 2025
Scaling Laws for Downstream Task Performance in Machine Translation
Scaling Laws for Downstream Task Performance in Machine Translation
Berivan Isik
Natalia Ponomareva
Hussein Hazimeh
Dimitris Paparas
Sergei Vassilvitskii
Sanmi Koyejo
108
3
0
24 Feb 2025
A Hitchhiker's Guide to Scaling Law Estimation
A Hitchhiker's Guide to Scaling Law Estimation
Leshem Choshen
Yang Zhang
Jacob Andreas
41
6
0
15 Oct 2024
Scaling Law of Sim2Real Transfer Learning in Expanding Computational
  Materials Databases for Real-World Predictions
Scaling Law of Sim2Real Transfer Learning in Expanding Computational Materials Databases for Real-World Predictions
Shunya Minami
Yoshihiro Hayashi
Stephen Wu
Kenji Fukumizu
Hiroki Sugisawa
Masashi Ishii
Isao Kuwajima
Kazuya Shiratori
Ryo Yoshida
AI4CE
18
0
0
07 Aug 2024
Analyzing and reducing the synthetic-to-real transfer gap in Music
  Information Retrieval: the task of automatic drum transcription
Analyzing and reducing the synthetic-to-real transfer gap in Music Information Retrieval: the task of automatic drum transcription
Mickaël Zehren
Marco Alunno
Paolo Bientinesi
41
0
0
29 Jul 2024
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
Hiroki Naganuma
Ryuichiro Hataya
Kotaro Yoshida
Ioannis Mitliagkas
OODD
84
1
0
17 Jul 2023
Emergent and Predictable Memorization in Large Language Models
Emergent and Predictable Memorization in Large Language Models
Stella Biderman
USVSN Sai Prashanth
Lintang Sutawika
Hailey Schoelkopf
Quentin G. Anthony
Shivanshu Purohit
Edward Raf
19
117
0
21 Apr 2023
Pythia: A Suite for Analyzing Large Language Models Across Training and
  Scaling
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
Stella Biderman
Hailey Schoelkopf
Quentin G. Anthony
Herbie Bradley
Kyle O'Brien
...
USVSN Sai Prashanth
Edward Raff
Aviya Skowron
Lintang Sutawika
Oskar van der Wal
30
1,164
0
03 Apr 2023
Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy
Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy
Mehrnaz Sabet
Praveen Palanisamy
Sakshi Mishra
18
4
0
10 Nov 2022
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic
  Data
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data
Samarth Mishra
Rameswar Panda
Cheng Perng Phoo
Chun-Fu Chen
Leonid Karlinsky
Kate Saenko
Venkatesh Saligrama
Rogerio Feris
19
33
0
30 Nov 2021
Learning Curve Theory
Learning Curve Theory
Marcus Hutter
128
58
0
08 Feb 2021
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
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
249
1,824
0
18 Aug 2016
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
114
577
0
27 Feb 2015
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