Are wider nets better given the same number of parameters?

27 October 2020

Papers citing "Are wider nets better given the same number of parameters?"

9 / 9 papers shown

Title
Learning to Manipulate under Limited Information Wesley H. Holliday Alexander Kristoffersen Eric Pacuit 20 4 0 29 Jan 2024
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints Francesco Corti Balz Maag Joachim Schauer U. Pferschy O. Saukh 29 2 0 22 Nov 2023
ReLU Neural Networks with Linear Layers are Biased Towards Single- and Multi-Index Models Suzanna Parkinson Greg Ongie Rebecca Willett 60 6 0 24 May 2023
Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency Vithursan Thangarasa Shreyas Saxena Abhay Gupta Sean Lie 28 3 0 21 Mar 2023
Deep Learning Meets Sparse Regularization: A Signal Processing Perspective Rahul Parhi Robert D. Nowak 28 25 0 23 Jan 2023
Understanding the effect of sparsity on neural networks robustness Lukas Timpl R. Entezari Hanie Sedghi Behnam Neyshabur O. Saukh 31 11 0 22 Jun 2022
What Kinds of Functions do Deep Neural Networks Learn? Insights from Variational Spline Theory Rahul Parhi Robert D. Nowak MLT 30 70 0 07 May 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 231 4,469 0 23 Jan 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016