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On 1/n neural representation and robustness

On 1/n neural representation and robustness

8 December 2020
Josue Nassar
Piotr A. Sokól
SueYeon Chung
K. Harris
Il Memming Park
    AAML
    OOD
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Papers citing "On 1/n neural representation and robustness"

13 / 13 papers shown
Title
Model Balancing Helps Low-data Training and Fine-tuning
Model Balancing Helps Low-data Training and Fine-tuning
Zihang Liu
Y. Hu
Tianyu Pang
Yefan Zhou
Pu Ren
Yaoqing Yang
34
2
0
16 Oct 2024
Limited but consistent gains in adversarial robustness by co-training
  object recognition models with human EEG
Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG
Manshan Guo
Bhavin Choksi
Sari Saba-Sadiya
A. T. Gifford
Martina G. Vilas
Radoslaw Martin Cichy
Gemma Roig
AAML
33
0
0
05 Sep 2024
Discretization of continuous input spaces in the hippocampal autoencoder
Discretization of continuous input spaces in the hippocampal autoencoder
A. F. Amil
Ismael T. Freire
P. Verschure
20
3
0
23 May 2024
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network
  Training
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
Yefan Zhou
Tianyu Pang
Keqin Liu
Charles H. Martin
Michael W. Mahoney
Yaoqing Yang
34
7
0
01 Dec 2023
A Spectral Theory of Neural Prediction and Alignment
A Spectral Theory of Neural Prediction and Alignment
Abdulkadir Canatar
J. Feather
Albert J. Wakhloo
SueYeon Chung
OOD
22
13
0
22 Sep 2023
Learning Efficient Coding of Natural Images with Maximum Manifold
  Capacity Representations
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
T. Yerxa
Yilun Kuang
Eero P. Simoncelli
SueYeon Chung
11
0
0
06 Mar 2023
Isometric Representations in Neural Networks Improve Robustness
Isometric Representations in Neural Networks Improve Robustness
Kosio Beshkov
Jonas Verhellen
M. Lepperød
AAML
OOD
17
1
0
02 Nov 2022
Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural
  Data Regularizer
Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural Data Regularizer
Cassidy Pirlot
Richard C. Gerum
Cory Efird
J. Zylberberg
Alona Fyshe
OOD
31
6
0
06 Sep 2022
Different Spectral Representations in Optimized Artificial Neural
  Networks and Brains
Different Spectral Representations in Optimized Artificial Neural Networks and Brains
Richard C. Gerum
Cassidy Pirlot
Alona Fyshe
J. Zylberberg
AAML
22
1
0
22 Aug 2022
The Devil is in the Frequency: Geminated Gestalt Autoencoder for
  Self-Supervised Visual Pre-Training
The Devil is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-Training
Hao Liu
Xinghua Jiang
Xin Li
Antai Guo
Deqiang Jiang
Bo Ren
26
36
0
18 Apr 2022
Investigating Power laws in Deep Representation Learning
Investigating Power laws in Deep Representation Learning
Arna Ghosh
Arnab Kumar Mondal
Kumar Krishna Agrawal
Blake A. Richards
SSL
OOD
11
19
0
11 Feb 2022
Optimal input representation in neural systems at the edge of chaos
Optimal input representation in neural systems at the edge of chaos
Guillermo B. Morales
M. A. Muñoz
AAML
38
17
0
12 Jul 2021
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural
  Networks
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon
Abdulkadir Canatar
C. Pehlevan
133
200
0
07 Feb 2020
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