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A Corrective View of Neural Networks: Representation, Memorization and
  Learning

A Corrective View of Neural Networks: Representation, Memorization and Learning

1 February 2020
Guy Bresler
Dheeraj M. Nagaraj
    MLT
ArXivPDFHTML

Papers citing "A Corrective View of Neural Networks: Representation, Memorization and Learning"

6 / 6 papers shown
Title
Scalable Neural Network Kernels
Scalable Neural Network Kernels
Arijit Sehanobish
Krzysztof Choromanski
Yunfan Zhao
Kumar Avinava Dubey
Valerii Likhosherstov
36
4
0
20 Oct 2023
Datamodels: Predicting Predictions from Training Data
Datamodels: Predicting Predictions from Training Data
Andrew Ilyas
Sung Min Park
Logan Engstrom
Guillaume Leclerc
A. Madry
TDI
38
131
0
01 Feb 2022
Computational Separation Between Convolutional and Fully-Connected
  Networks
Computational Separation Between Convolutional and Fully-Connected Networks
Eran Malach
Shai Shalev-Shwartz
19
26
0
03 Oct 2020
A law of robustness for two-layers neural networks
A law of robustness for two-layers neural networks
Sébastien Bubeck
Yuanzhi Li
Dheeraj M. Nagaraj
25
57
0
30 Sep 2020
Approximation by Combinations of ReLU and Squared ReLU Ridge Functions
  with $ \ell^1 $ and $ \ell^0 $ Controls
Approximation by Combinations of ReLU and Squared ReLU Ridge Functions with ℓ1 \ell^1 ℓ1 and ℓ0 \ell^0 ℓ0 Controls
Jason M. Klusowski
Andrew R. Barron
130
142
0
26 Jul 2016
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
148
602
0
14 Feb 2016
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