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Choose Your Neuron: Incorporating Domain Knowledge through
  Neuron-Importance

Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance

8 August 2018
Ramprasaath R. Selvaraju
Prithvijit Chattopadhyay
Mohamed Elhoseiny
Tilak Sharma
Dhruv Batra
Devi Parikh
Stefan Lee
ArXiv (abs)PDFHTMLGithub (57★)

Papers citing "Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance"

10 / 10 papers shown
Title
SECNEURON: Reliable and Flexible Abuse Control in Local LLMs via Hybrid Neuron Encryption
Zhiqiang Wang
Haohua Du
Junyang Wang
Haifeng Sun
Kaiwen Guo
Haikuo Yu
Chao Liu
Xiang-Yang Li
AAML
276
0
0
05 Jun 2025
Multimodal Explainable Artificial Intelligence: A Comprehensive Review
  of Methodological Advances and Future Research Directions
Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research DirectionsIEEE Access (IEEE Access), 2023
N. Rodis
Christos Sardianos
Panagiotis I. Radoglou-Grammatikis
Panagiotis G. Sarigiannidis
Iraklis Varlamis
Georgios Th. Papadopoulos
249
36
0
09 Jun 2023
Towards Zero-shot Sign Language Recognition
Towards Zero-shot Sign Language RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yunus Can Bilge
R. G. Cinbis
Nazli Ikizler-Cinbis
SLR
173
42
0
15 Jan 2022
Combining Sub-Symbolic and Symbolic Methods for Explainability
Combining Sub-Symbolic and Symbolic Methods for Explainability
Anna Himmelhuber
S. Grimm
Sonja Zillner
Mitchell Joblin
Martin Ringsquandl
Thomas Runkler
112
7
0
03 Dec 2021
Neuro-Symbolic Artificial Intelligence: Current Trends
Neuro-Symbolic Artificial Intelligence: Current TrendsAI Communications (AI Commun.), 2021
Md Kamruzzaman Sarker
Lu Zhou
Aaron Eberhart
Pascal Hitzler
NAI
205
120
0
11 May 2021
Adapting Grad-CAM for Embedding Networks
Adapting Grad-CAM for Embedding NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Lei Chen
Jianhui Chen
Hossein Hajimirsadeghi
Greg Mori
185
64
0
17 Jan 2020
Summit: Scaling Deep Learning Interpretability by Visualizing Activation
  and Attribution Summarizations
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
Fred Hohman
Haekyu Park
Caleb Robinson
Duen Horng Chau
FAtt3DHHAI
257
226
0
04 Apr 2019
Taking a HINT: Leveraging Explanations to Make Vision and Language
  Models More Grounded
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More GroundedIEEE International Conference on Computer Vision (ICCV), 2019
Ramprasaath R. Selvaraju
Stefan Lee
Yilin Shen
Hongxia Jin
Shalini Ghosh
Larry Heck
Dhruv Batra
Devi Parikh
FAttVLM
223
277
0
11 Feb 2019
Learning without Memorizing
Learning without MemorizingComputer Vision and Pattern Recognition (CVPR), 2018
Prithviraj Dhar
Rajat Vikram Singh
Kuan-Chuan Peng
Ziyan Wu
Rama Chellappa
CLL
206
534
0
20 Nov 2018
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based LocalizationInternational Journal of Computer Vision (IJCV), 2016
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
840
23,711
0
07 Oct 2016
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