Revisiting Neural Scaling Laws in Language and Vision

13 September 2022

Papers citing "Revisiting Neural Scaling Laws in Language and Vision"

8 / 8 papers shown

Title
Scaling Laws For Scalable Oversight Joshua Engels David D. Baek Subhash Kantamneni Max Tegmark ELM 65 0 0 25 Apr 2025
MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation Anzhe Cheng Chenzhong Yin Yu Chang Heng Ping Shixuan Li Shahin Nazarian Paul Bogdan SSeg 77 0 0 11 Mar 2025
Scaling Laws for Predicting Downstream Performance in LLMs Yangyi Chen Binxuan Huang Yifan Gao Zhengyang Wang Jingfeng Yang Heng Ji LRM 26 7 0 11 Oct 2024
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 22 0 0 08 Feb 2024
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 194 403 0 01 Oct 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,132 0 04 May 2021
Learning Curve Theory Marcus Hutter 128 38 0 08 Feb 2021
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 217 3,054 0 23 Jan 2020