A closer look at the approximation capabilities of neural networks

16 February 2020

Papers citing "A closer look at the approximation capabilities of neural networks"

5 / 5 papers shown

Title
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices Jingyi Xu Tushar Vaidya Y. Blankenship Saket Chandra Zhangsheng Lai Kai Fong Ernest Chong 41 8 0 21 Mar 2023
Universally Rank Consistent Ordinal Regression in Neural Networks Garrett Jenkinson Gavin R. Oliver Kia Khezeli John Kalantari E. Klee CML OOD 23 2 0 14 Oct 2021
Reward-Based 1-bit Compressed Federated Distillation on Blockchain Leon Witt Usama Zafar KuoYeh Shen Felix Sattler Dan Li Wojciech Samek FedML 35 4 0 27 Jun 2021
Neural Joint Entropy Estimation Yuval Shalev Amichai Painsky I. Ben-Gal 28 8 0 21 Dec 2020
Benefits of depth in neural networks Matus Telgarsky 151 602 0 14 Feb 2016