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

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

27 September 2019
Yuyang Gao
Giorgio Ascoli
Liang Zhao
ArXivPDFHTML

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

7 / 7 papers shown
Title
Misconduct in Post-Selections and Deep Learning
Misconduct in Post-Selections and Deep Learning
Juyang Weng
AAML
13
0
0
13 Feb 2024
On "Deep Learning" Misconduct
On "Deep Learning" Misconduct
J. Weng
FedML
17
8
0
23 Nov 2022
RES: A Robust Framework for Guiding Visual Explanation
RES: A Robust Framework for Guiding Visual Explanation
Yuyang Gao
Tong Sun
Guangji Bai
Siyi Gu
S. Hong
Liang Zhao
FAtt
AAML
XAI
23
32
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
Liang Zhao
Sungsoo Ray Hong
HAI
23
37
0
06 Feb 2022
Post-Selections in AI and How to Avoid Them
Post-Selections in AI and How to Avoid Them
J. Weng
14
0
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 Learning
Yuyang Gao
Giorgio Ascoli
Liang Zhao
21
4
0
05 May 2021
Revisiting the Importance of Individual Units in CNNs via Ablation
Revisiting the Importance of Individual Units in CNNs via Ablation
Bolei Zhou
Yiyou Sun
David Bau
Antonio Torralba
FAtt
59
116
0
07 Jun 2018
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