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Scaling Laws for Deep Learning

Scaling Laws for Deep Learning

17 August 2021
Jonathan S. Rosenfeld
ArXiv (abs)PDFHTMLGithub (3699★)

Papers citing "Scaling Laws for Deep Learning"

17 / 17 papers shown
On the Origin of Algorithmic Progress in AI
On the Origin of Algorithmic Progress in AI
Hans Gundlach
Alex Fogelson
Jayson Lynch
Ana Trisovic
Jonathan Rosenfeld
Anmol Sandhu
Neil Thompson
134
1
0
26 Nov 2025
Zero-Shot Performance Prediction for Probabilistic Scaling Laws
Zero-Shot Performance Prediction for Probabilistic Scaling Laws
Viktoria Schram
Markus Hiller
Daniel Beck
Trevor Cohn
176
0
0
19 Oct 2025
From MNIST to ImageNet: Understanding the Scalability Boundaries of Differentiable Logic Gate Networks
From MNIST to ImageNet: Understanding the Scalability Boundaries of Differentiable Logic Gate Networks
Sven Brändle
Till Aczél
Andreas Plesner
Roger Wattenhofer
MoEAI4CE
138
0
0
30 Sep 2025
Scaling Learned Image Compression Models up to 1 Billion
Scaling Learned Image Compression Models up to 1 Billion
Yuqi Li
Haotian Zhang
L. Li
Dong Liu
Feng Wu
185
3
0
12 Aug 2025
Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
Dongwoo Lee
Dong Bok Lee
Steven Adriaensen
Juho Lee
Sung Ju Hwang
Frank Hutter
Seon Joo Kim
Hae Beom Lee
BDL
449
0
0
29 May 2025
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation
Junchen Fu
Xuri Ge
Xin Xin
Alexandros Karatzoglou
Ioannis Arapakis
Kaiwen Zheng
Yongxin Ni
J. Jose
363
12
0
05 Nov 2024
LaCoOT: Layer Collapse through Optimal Transport
LaCoOT: Layer Collapse through Optimal Transport
Victor Quétu
Zhu Liao
Nour Hezbri
Fabio Pizzati
Enzo Tartaglione
453
0
0
13 Jun 2024
Scaling Laws for Galaxy Images
Scaling Laws for Galaxy Images
Mike Walmsley
Micah Bowles
Anna M. M. Scaife
Jason Shingirai Makechemu
Alexander J. Gordon
...
Chris J. Lintott
K. Mantha
Devina Mohan
David O’Ryan
Inigo V. Slijepevic
313
7
0
03 Apr 2024
What does it take to catch a Chinchilla? Verifying Rules on Large-Scale
  Neural Network Training via Compute Monitoring
What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring
Yonadav Shavit
280
30
0
20 Mar 2023
Kernel Regression with Infinite-Width Neural Networks on Millions of
  Examples
Kernel Regression with Infinite-Width Neural Networks on Millions of Examples
Ben Adlam
Jaehoon Lee
Shreyas Padhy
Zachary Nado
Jasper Snoek
231
12
0
09 Mar 2023
Evaluating Self-Supervised Learning via Risk Decomposition
Evaluating Self-Supervised Learning via Risk DecompositionInternational Conference on Machine Learning (ICML), 2023
Yann Dubois
Tatsunori Hashimoto
Abigail Z. Jacobs
338
10
0
06 Feb 2023
MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource
  Languages
MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages
Shashank Sonkar
Zichao Wang
Richard G. Baraniuk
154
1
0
19 Dec 2022
Revisiting Neural Scaling Laws in Language and Vision
Revisiting Neural Scaling Laws in Language and VisionNeural Information Processing Systems (NeurIPS), 2022
Ibrahim Alabdulmohsin
Behnam Neyshabur
Xiaohua Zhai
649
157
0
13 Sep 2022
Data Feedback Loops: Model-driven Amplification of Dataset Biases
Data Feedback Loops: Model-driven Amplification of Dataset BiasesInternational Conference on Machine Learning (ICML), 2022
Rohan Taori
Tatsunori B. Hashimoto
442
66
0
08 Sep 2022
The BUTTER Zone: An Empirical Study of Training Dynamics in Fully
  Connected Neural Networks
The BUTTER Zone: An Empirical Study of Training Dynamics in Fully Connected Neural Networks
Charles Edison Tripp
J. Perr-Sauer
L. Hayne
M. Lunacek
Jamil Gafur
AI4CE
392
2
0
25 Jul 2022
Beyond neural scaling laws: beating power law scaling via data pruning
Beyond neural scaling laws: beating power law scaling via data pruningNeural Information Processing Systems (NeurIPS), 2022
Ben Sorscher
Robert Geirhos
Shashank Shekhar
Surya Ganguli
Ari S. Morcos
1.9K
592
0
29 Jun 2022
The Computational Limits of Deep Learning
The Computational Limits of Deep Learning
Neil C. Thompson
Kristjan Greenewald
Keeheon Lee
Gabriel F. Manso
VLM
372
668
0
10 Jul 2020
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