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Understanding the Role of Individual Units in a Deep Neural Network
v1v2 (latest)

Understanding the Role of Individual Units in a Deep Neural Network

Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2020
10 September 2020
David Bau
Jun-Yan Zhu
Hendrik Strobelt
Àgata Lapedriza
Bolei Zhou
Antonio Torralba
    GAN
ArXiv (abs)PDFHTML

Papers citing "Understanding the Role of Individual Units in a Deep Neural Network"

50 / 233 papers shown
Understanding CNN Hidden Neuron Activations Using Structured Background
  Knowledge and Deductive Reasoning
Understanding CNN Hidden Neuron Activations Using Structured Background Knowledge and Deductive Reasoning
Abhilekha Dalal
Md Kamruzzaman Sarker
Adrita Barua
Eugene Y. Vasserman
Pascal Hitzler
FAtt
239
2
0
08 Aug 2023
Wider and Deeper LLM Networks are Fairer LLM Evaluators
Wider and Deeper LLM Networks are Fairer LLM Evaluators
Xinghua Zhang
Yu Bowen
Haiyang Yu
Yangyu Lv
Tingwen Liu
Fei Huang
Hongbo Xu
Yongbin Li
ALM
319
117
0
03 Aug 2023
Multimodal Neurons in Pretrained Text-Only Transformers
Multimodal Neurons in Pretrained Text-Only Transformers
Sarah Schwettmann
Neil Chowdhury
Samuel J. Klein
David Bau
Antonio Torralba
MILM
275
43
0
03 Aug 2023
Exploring how a Generative AI interprets music
Exploring how a Generative AI interprets music
G. Barenboim
L. Debbio
J. Hirn
V. Sanz
MGen
212
7
0
31 Jul 2023
Adaptive Frequency Filters As Efficient Global Token Mixers
Adaptive Frequency Filters As Efficient Global Token MixersIEEE International Conference on Computer Vision (ICCV), 2023
Zhipeng Huang
Zhizheng Zhang
Cuiling Lan
Zhengjun Zha
Yan Lu
B. Guo
199
79
0
26 Jul 2023
The semantic landscape paradigm for neural networks
The semantic landscape paradigm for neural networks
Shreyas Gokhale
304
3
0
18 Jul 2023
Visualization for Multivariate Gaussian Anomaly Detection in Images
Visualization for Multivariate Gaussian Anomaly Detection in ImagesInternational Conference on Image Processing Theory Tools and Applications (IPTA), 2023
João P C Bertoldo
David Arrustico
43
1
0
12 Jul 2023
Scale Alone Does not Improve Mechanistic Interpretability in Vision
  Models
Scale Alone Does not Improve Mechanistic Interpretability in Vision ModelsNeural Information Processing Systems (NeurIPS), 2023
Roland S. Zimmermann
Thomas Klein
Wieland Brendel
286
24
0
11 Jul 2023
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities
Xudong Shen
H. Brown
Jiashu Tao
Martin Strobel
Yao Tong
Akshay Narayan
Harold Soh
Finale Doshi-Velez
337
3
0
22 Jun 2023
Soft Merging of Experts with Adaptive Routing
Soft Merging of Experts with Adaptive Routing
Mohammed Muqeeth
Haokun Liu
Colin Raffel
MoMeMoE
287
80
0
06 Jun 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and
  Generalization
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and GeneralizationInternational Conference on Learning Representations (ICLR), 2023
Zichen Liu
Chris Xing Tian
Haoliang Li
Lei Ma
Shiqi Wang
UQCV
332
26
0
05 Jun 2023
MotionTrack: Learning Motion Predictor for Multiple Object Tracking
MotionTrack: Learning Motion Predictor for Multiple Object TrackingNeural Networks (Neural Netw.), 2023
Changcheng Xiao
Qiong Cao
Yujie Zhong
L. Lan
Xiang Zhang
Zhigang Luo
Dacheng Tao
VOT
313
41
0
05 Jun 2023
StyleGAN knows Normal, Depth, Albedo, and More
StyleGAN knows Normal, Depth, Albedo, and MoreNeural Information Processing Systems (NeurIPS), 2023
Anand Bhattad
Daniel McKee
Derek Hoiem
David A. Forsyth
GAN
215
50
0
01 Jun 2023
A Rainbow in Deep Network Black Boxes
A Rainbow in Deep Network Black Boxes
Florentin Guth
Brice Ménard
G. Rochette
S. Mallat
339
19
0
29 May 2023
Explaining black box text modules in natural language with language
  models
Explaining black box text modules in natural language with language models
Chandan Singh
Aliyah R. Hsu
Richard Antonello
Shailee Jain
Alexander G. Huth
Bin Yu
Jianfeng Gao
MILM
277
66
0
17 May 2023
DBAT: Dynamic Backward Attention Transformer for Material Segmentation
  with Cross-Resolution Patches
DBAT: Dynamic Backward Attention Transformer for Material Segmentation with Cross-Resolution Patches
Yuwen Heng
S. Dasmahapatra
Hansung Kim
256
1
0
06 May 2023
The System Model and the User Model: Exploring AI Dashboard Design
The System Model and the User Model: Exploring AI Dashboard Design
Fernanda Viégas
Martin Wattenberg
181
12
0
04 May 2023
Where We Have Arrived in Proving the Emergence of Sparse Symbolic
  Concepts in AI Models
Where We Have Arrived in Proving the Emergence of Sparse Symbolic Concepts in AI Models
Qihan Ren
Maximilian Brunner
Wen Shen
S. Mintchev
245
14
0
03 May 2023
Finding Neurons in a Haystack: Case Studies with Sparse Probing
Finding Neurons in a Haystack: Case Studies with Sparse Probing
Wes Gurnee
Neel Nanda
Matthew Pauly
Katherine Harvey
Dmitrii Troitskii
Dimitris Bertsimas
MILM
540
291
0
02 May 2023
Concept-Monitor: Understanding DNN training through individual neurons
Concept-Monitor: Understanding DNN training through individual neurons
Mohammad Ali Khan
Tuomas P. Oikarinen
Tsui-Wei Weng
244
3
0
26 Apr 2023
Neurosymbolic Models for Computer Graphics
Neurosymbolic Models for Computer Graphics
Daniel E. Ritchie
Paul Guerrero
R. K. Jones
Niloy J. Mitra
Adriana Schulz
Karl D. D. Willis
Jiajun Wu
3DV
218
37
0
20 Apr 2023
Disentangling Neuron Representations with Concept Vectors
Disentangling Neuron Representations with Concept Vectors
Laura O'Mahony
Vincent Andrearczyk
Henning Muller
Mara Graziani
MILM
176
24
0
19 Apr 2023
Reusing Deep Neural Network Models through Model Re-engineering
Reusing Deep Neural Network Models through Model Re-engineeringInternational Conference on Software Engineering (ICSE), 2023
Binhang Qi
Hailong Sun
Yantao Du
Hongyu Zhang
Zhaotian Li
Xudong Liu
123
21
0
01 Apr 2023
Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability
Analyzing Effects of Mixed Sample Data Augmentation on Model InterpretabilityNeural Networks (Neural Netw.), 2023
Soyoun Won
Sung-Ho Bae
Seong Tae Kim
227
2
0
26 Mar 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons
LINe: Out-of-Distribution Detection by Leveraging Important NeuronsComputer Vision and Pattern Recognition (CVPR), 2023
Yong Hyun Ahn
Gyeong-Moon Park
Seong Tae Kim
OODD
312
44
0
24 Mar 2023
Deephys: Deep Electrophysiology, Debugging Neural Networks under
  Distribution Shifts
Deephys: Deep Electrophysiology, Debugging Neural Networks under Distribution Shifts
Anirban Sarkar
Matthew Groth
I. Mason
Tomotake Sasaki
Xavier Boix
184
1
0
17 Mar 2023
P+: Extended Textual Conditioning in Text-to-Image Generation
P+: Extended Textual Conditioning in Text-to-Image Generation
A. Voynov
Qinghao Chu
Daniel Cohen-Or
Kfir Aberman
VLMDiffM
370
245
0
16 Mar 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed
  on AI-based Recruitment
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based RecruitmentSN Computer Science (SN Comput. Sci.), 2023
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
Alfonso Ortega
Ainhoa Herrarte
Manuel Alcántara
J. Ortega-Garcia
FaML
211
56
0
13 Feb 2023
PAMI: partition input and aggregate outputs for model interpretation
PAMI: partition input and aggregate outputs for model interpretationPattern Recognition (Pattern Recogn.), 2023
Wei Shi
Wentao Zhang
Weishi Zheng
Ruixuan Wang
FAtt
405
5
0
07 Feb 2023
Interpreting Robustness Proofs of Deep Neural Networks
Interpreting Robustness Proofs of Deep Neural NetworksInternational Conference on Learning Representations (ICLR), 2023
Debangshu Banerjee
Avaljot Singh
Gagandeep Singh
AAML
183
7
0
31 Jan 2023
Open Problems in Applied Deep Learning
Open Problems in Applied Deep Learning
M. Raissi
AI4CE
234
3
0
26 Jan 2023
Explaining Deep Learning Hidden Neuron Activations using Concept
  Induction
Explaining Deep Learning Hidden Neuron Activations using Concept Induction
Abhilekha Dalal
Md Kamruzzaman Sarker
Adrita Barua
Pascal Hitzler
FAtt
120
2
0
23 Jan 2023
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural
  Networks
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks
Fenglei Fan
Yingxin Li
Hanchuan Peng
T. Zeng
Haiwei Yang
172
9
0
23 Jan 2023
Does Localization Inform Editing? Surprising Differences in
  Causality-Based Localization vs. Knowledge Editing in Language Models
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language ModelsNeural Information Processing Systems (NeurIPS), 2023
Peter Hase
Joey Tianyi Zhou
Been Kim
Asma Ghandeharioun
MILM
348
230
0
10 Jan 2023
Urban Visual Intelligence: Studying Cities with AI and Street-level
  Imagery
Urban Visual Intelligence: Studying Cities with AI and Street-level Imagery
Zhanga Fan
Arianna Salazar Miranda
Fábio Duarte
Lawrence J. Vale
G. Hack
Min Chen
Yu Liu
M. Batty
C. Ratti
317
8
0
02 Jan 2023
Correspondence Distillation from NeRF-based GAN
Correspondence Distillation from NeRF-based GANInternational Journal of Computer Vision (IJCV), 2022
Yushi Lan
Chen Change Loy
Bo Dai
209
13
0
19 Dec 2022
Structure-Guided Image Completion with Image-level and Object-level
  Semantic Discriminators
Structure-Guided Image Completion with Image-level and Object-level Semantic DiscriminatorsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Haitian Zheng
Zhe Lin
Jingwan Lu
Scott D. Cohen
Eli Shechtman
...
Jianming Zhang
Qing Liu
Yuqian Zhou
Sohrab Amirghodsi
Jiebo Luo
DiffM
289
1
0
13 Dec 2022
Revealing Hidden Context Bias in Segmentation and Object Detection
  through Concept-specific Explanations
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations
Maximilian Dreyer
Reduan Achtibat
Thomas Wiegand
Wojciech Samek
Sebastian Lapuschkin
198
29
0
21 Nov 2022
On the Complexity of Bayesian Generalization
On the Complexity of Bayesian GeneralizationInternational Conference on Machine Learning (ICML), 2022
Yuge Shi
Manjie Xu
John E. Hopcroft
Kun He
J. Tenenbaum
Song-Chun Zhu
Ying Nian Wu
Wenjuan Han
Yixin Zhu
315
6
0
20 Nov 2022
Data-Centric Debugging: mitigating model failures via targeted data
  collection
Data-Centric Debugging: mitigating model failures via targeted data collection
Sahil Singla
Atoosa Malemir Chegini
Mazda Moayeri
Soheil Feiz
225
4
0
17 Nov 2022
Finding Skill Neurons in Pre-trained Transformer-based Language Models
Finding Skill Neurons in Pre-trained Transformer-based Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Xiaozhi Wang
Kaiyue Wen
Zhengyan Zhang
Lei Hou
Zhiyuan Liu
Juanzi Li
MILMMoE
197
60
0
14 Nov 2022
Generalization Beyond Feature Alignment: Concept Activation-Guided
  Contrastive Learning
Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive LearningIEEE Transactions on Image Processing (IEEE TIP), 2022
Zichen Liu
Chris Xing Tian
Haoliang Li
Shiqi Wang
342
2
0
13 Nov 2022
Emergence of Concepts in DNNs?
Emergence of Concepts in DNNs?
Tim Räz
66
0
0
11 Nov 2022
On-the-fly Object Detection using StyleGAN with CLIP Guidance
On-the-fly Object Detection using StyleGAN with CLIP Guidance
Yu-Ta Lu
Shusen Liu
Jayaraman J. Thiagarajan
W. Sakla
Rushil Anirudh
VLMObjD
75
1
0
30 Oct 2022
Rethinking the Reverse-engineering of Trojan Triggers
Rethinking the Reverse-engineering of Trojan TriggersNeural Information Processing Systems (NeurIPS), 2022
Zhenting Wang
Kai Mei
Hailun Ding
Juan Zhai
Shiqing Ma
183
51
0
27 Oct 2022
Measures of Information Reflect Memorization Patterns
Measures of Information Reflect Memorization PatternsNeural Information Processing Systems (NeurIPS), 2022
Rachit Bansal
Danish Pruthi
Yonatan Belinkov
446
12
0
17 Oct 2022
An Interactive Interpretability System for Breast Cancer Screening with
  Deep Learning
An Interactive Interpretability System for Breast Cancer Screening with Deep Learning
Yuzhe Lu
Adam Perer
138
3
0
30 Sep 2022
NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical
  Neurons Identification with Precision Guarantee
NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical Neurons Identification with Precision Guarantee
Minh Nhat Vu
Truc D. T. Nguyen
My T. Thai
AAML
126
4
0
18 Sep 2022
DAS: Densely-Anchored Sampling for Deep Metric Learning
DAS: Densely-Anchored Sampling for Deep Metric LearningEuropean Conference on Computer Vision (ECCV), 2022
Lizhao Liu
Shan Huang
Zhuangwei Zhuang
Ran Yang
Zhuliang Yu
Yaowei Wang
259
13
0
30 Jul 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of
  Deep Neural Networks
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks
Tilman Raukur
A. Ho
Stephen Casper
Dylan Hadfield-Menell
AAMLAI4CE
782
170
0
27 Jul 2022
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