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BEAN: Interpretable Representation Learning with Biologically-Enhanced
  Artificial Neuronal Assembly Regularization
v1v2 (latest)

BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization

Frontiers in Neurorobotics (FN), 2019
27 September 2019
Yuyang Gao
Giorgio Ascoli
Bo Pan
ArXiv (abs)PDFHTML

Papers citing "BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization"

6 / 6 papers shown
Misconduct in Post-Selections and Deep Learning
Misconduct in Post-Selections and Deep Learning
Juyang Weng
AAML
295
0
0
13 Feb 2024
On "Deep Learning" Misconduct
On "Deep Learning" Misconduct
J. Weng
FedML
164
11
0
23 Nov 2022
RES: A Robust Framework for Guiding Visual Explanation
RES: A Robust Framework for Guiding Visual ExplanationKnowledge Discovery and Data Mining (KDD), 2022
Yuyang Gao
Tong Sun
Guangji Bai
Siyi Gu
S. Hong
Bo Pan
FAttAAMLXAI
246
39
0
27 Jun 2022
Aligning Eyes between Humans and Deep Neural Network through Interactive
  Attention Alignment
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment
Yuyang Gao
Tong Sun
Bo Pan
Sungsoo Ray Hong
HAI
304
52
0
06 Feb 2022
Post-Selections in AI and How to Avoid Them
Post-Selections in AI and How to Avoid Them
J. Weng
192
1
0
19 Jun 2021
Schematic Memory Persistence and Transience for Efficient and Robust
  Continual Learning
Schematic Memory Persistence and Transience for Efficient and Robust Continual LearningNeural Networks (NN), 2021
Yuyang Gao
Giorgio Ascoli
Bo Pan
205
6
0
05 May 2021
1
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