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A closer look at the approximation capabilities of neural networks

A closer look at the approximation capabilities of neural networks

International Conference on Learning Representations (ICLR), 2020
16 February 2020
Kai Fong Ernest Chong
ArXiv (abs)PDFHTML

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

10 / 10 papers shown
Simulating Weighted Automata over Sequences and Trees with Transformers
Simulating Weighted Automata over Sequences and Trees with TransformersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Michael Rizvi
M. Lizaire
Clara Lacroce
Guillaume Rabusseau
AI4CE
334
4
0
12 Mar 2024
Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal
  Approximation
Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal ApproximationInternational Conference on Machine Learning (ICML), 2023
Liang Li
Yifei Duan
Guanghua Ji
Yongqiang Cai
MLT
350
19
0
29 May 2023
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's
  Progressive Matrices
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive MatricesComputer Vision and Pattern Recognition (CVPR), 2023
Aoxiang Fan
Tushar Vaidya
Y. Blankenship
Saket Chandra
Zhangsheng Lai
Kai Fong Ernest Chong
411
12
0
21 Mar 2023
Universally Rank Consistent Ordinal Regression in Neural Networks
Universally Rank Consistent Ordinal Regression in Neural Networks
Garrett Jenkinson
Gavin R. Oliver
Kia Khezeli
John Kalantari
E. Klee
CMLOOD
146
3
0
14 Oct 2021
Reward-Based 1-bit Compressed Federated Distillation on Blockchain
Reward-Based 1-bit Compressed Federated Distillation on Blockchain
Leon Witt
Usama Zafar
KuoYeh Shen
Felix Sattler
Dan Li
Wojciech Samek
FedML
292
4
0
27 Jun 2021
Learning Hard Optimization Problems: A Data Generation Perspective
Learning Hard Optimization Problems: A Data Generation PerspectiveNeural Information Processing Systems (NeurIPS), 2021
James Kotary
Ferdinando Fioretto
Pascal Van Hentenryck
225
44
0
04 Jun 2021
Invariant polynomials and machine learning
Invariant polynomials and machine learning
W. Haddadin
181
6
0
26 Apr 2021
An Analytic Layer-wise Deep Learning Framework with Applications to
  Robotics
An Analytic Layer-wise Deep Learning Framework with Applications to Robotics
Huu-Thiet Nguyen
C. Cheah
Kar-Ann Toh
182
23
0
07 Feb 2021
Neural Joint Entropy Estimation
Neural Joint Entropy EstimationIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Yuval Shalev
Amichai Painsky
I. Ben-Gal
372
14
0
21 Dec 2020
Communication-Efficient Federated Distillation
Communication-Efficient Federated Distillation
Felix Sattler
Arturo Marbán
R. Rischke
Wojciech Samek
FedMLDD
355
42
0
01 Dec 2020
1
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