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Visualizing and Understanding Recurrent Networks

Visualizing and Understanding Recurrent Networks

5 June 2015
A. Karpathy
Justin Johnson
Li Fei-Fei
    HAI
ArXivPDFHTML

Papers citing "Visualizing and Understanding Recurrent Networks"

50 / 455 papers shown
Title
A Model Zoo of Vision Transformers
A Model Zoo of Vision Transformers
Damian Falk
Léo Meynent
Florence Pfammatter
Konstantin Schurholt
Damian Borth
34
0
0
14 Apr 2025
In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models against Variability
Azhar Ali Khaked
Nobuyuki Oishi
Daniel Roggen
Paula Lago
49
0
0
14 Mar 2025
Discovering Influential Neuron Path in Vision Transformers
Discovering Influential Neuron Path in Vision Transformers
Yifan Wang
Yifei Liu
Yingdong Shi
Chong Li
Anqi Pang
Sibei Yang
Jingyi Yu
Kan Ren
ViT
69
0
0
12 Mar 2025
Superscopes: Amplifying Internal Feature Representations for Language Model Interpretation
Jonathan Jacobi
Gal Niv
LRM
ReLM
65
0
0
03 Mar 2025
An End-to-End Homomorphically Encrypted Neural Network
An End-to-End Homomorphically Encrypted Neural Network
Marcos Florencio
Luiz Alencar
Bianca Lima
SyDa
51
0
0
22 Feb 2025
Can Input Attributions Interpret the Inductive Reasoning Process Elicited in In-Context Learning?
Can Input Attributions Interpret the Inductive Reasoning Process Elicited in In-Context Learning?
Mengyu Ye
Tatsuki Kuribayashi
Goro Kobayashi
Jun Suzuki
LRM
97
0
0
20 Dec 2024
A Review of Multimodal Explainable Artificial Intelligence: Past,
  Present and Future
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future
Shilin Sun
Wenbin An
Feng Tian
Fang Nan
Qidong Liu
Xiaozhong Liu
N. Shah
Ping Chen
96
2
0
18 Dec 2024
Analyzing Deep Transformer Models for Time Series Forecasting via
  Manifold Learning
Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning
Ilya Kaufman
Omri Azencot
AI4TS
31
2
0
17 Oct 2024
Mechanistic?
Mechanistic?
Naomi Saphra
Sarah Wiegreffe
AI4CE
29
9
0
07 Oct 2024
Investigating OCR-Sensitive Neurons to Improve Entity Recognition in
  Historical Documents
Investigating OCR-Sensitive Neurons to Improve Entity Recognition in Historical Documents
Emanuela Boros
Maud Ehrmann
33
0
0
25 Sep 2024
G-NeLF: Memory- and Data-Efficient Hybrid Neural Light Field for Novel
  View Synthesis
G-NeLF: Memory- and Data-Efficient Hybrid Neural Light Field for Novel View Synthesis
Lutao Jiang
Lin Wang
30
0
0
09 Sep 2024
Compress and Compare: Interactively Evaluating Efficiency and Behavior
  Across ML Model Compression Experiments
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments
Angie Boggust
Venkatesh Sivaraman
Yannick Assogba
Donghao Ren
Dominik Moritz
Fred Hohman
VLM
58
3
0
06 Aug 2024
Interpretation of the Intent Detection Problem as Dynamics in a
  Low-dimensional Space
Interpretation of the Intent Detection Problem as Dynamics in a Low-dimensional Space
Eduardo Sánchez-Karhunen
Jose F. Quesada-Moreno
Miguel A. Gutiérrez-Naranjo
21
0
0
05 Aug 2024
The Quest for the Right Mediator: A History, Survey, and Theoretical
  Grounding of Causal Interpretability
The Quest for the Right Mediator: A History, Survey, and Theoretical Grounding of Causal Interpretability
Aaron Mueller
Jannik Brinkmann
Millicent Li
Samuel Marks
Koyena Pal
...
Arnab Sen Sharma
Jiuding Sun
Eric Todd
David Bau
Yonatan Belinkov
CML
52
18
0
02 Aug 2024
Automated Code-centric Software Vulnerability Assessment: How Far Are
  We? An Empirical Study in C/C++
Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++
Anh The Nguyen
T. H. Le
Muhammad Ali Babar
36
2
0
24 Jul 2024
Towards More Trustworthy and Interpretable LLMs for Code through
  Syntax-Grounded Explanations
Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations
David Nader-Palacio
Daniel Rodríguez-Cárdenas
Alejandro Velasco
Dipin Khati
Kevin Moran
Denys Poshyvanyk
58
6
0
12 Jul 2024
Confidence Regulation Neurons in Language Models
Confidence Regulation Neurons in Language Models
Alessandro Stolfo
Ben Wu
Wes Gurnee
Yonatan Belinkov
Xingyi Song
Mrinmaya Sachan
Neel Nanda
29
12
0
24 Jun 2024
From Insights to Actions: The Impact of Interpretability and Analysis
  Research on NLP
From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP
Marius Mosbach
Vagrant Gautam
Tomás Vergara-Browne
Dietrich Klakow
Mor Geva
AI4CE
46
6
0
18 Jun 2024
Multiway Multislice PHATE: Visualizing Hidden Dynamics of RNNs through
  Training
Multiway Multislice PHATE: Visualizing Hidden Dynamics of RNNs through Training
Jiancheng Xie
Lou C. Kohler Voinov
Noga Mudrik
Gal Mishne
Adam Charles
GNN
41
0
0
04 Jun 2024
Interpretability Needs a New Paradigm
Interpretability Needs a New Paradigm
Andreas Madsen
Himabindu Lakkaraju
Siva Reddy
Sarath Chandar
39
4
0
08 May 2024
On the Road to Clarity: Exploring Explainable AI for World Models in a
  Driver Assistance System
On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance System
Mohamed Roshdi
Julian Petzold
Mostafa Wahby
Hussein Ebrahim
Mladen Berekovic
Heiko Hamann
37
0
0
26 Apr 2024
A Multimodal Automated Interpretability Agent
A Multimodal Automated Interpretability Agent
Tamar Rott Shaham
Sarah Schwettmann
Franklin Wang
Achyuta Rajaram
Evan Hernandez
Jacob Andreas
Antonio Torralba
37
18
0
22 Apr 2024
Deep Neural Networks via Complex Network Theory: a Perspective
Deep Neural Networks via Complex Network Theory: a Perspective
Emanuele La Malfa
G. Malfa
Giuseppe Nicosia
Vito Latora
GNN
32
2
0
17 Apr 2024
JailbreakLens: Visual Analysis of Jailbreak Attacks Against Large
  Language Models
JailbreakLens: Visual Analysis of Jailbreak Attacks Against Large Language Models
Yingchaojie Feng
Zhizhang Chen
Zhining Kang
Sijia Wang
Minfeng Zhu
Wei Zhang
Wei Chen
45
3
0
12 Apr 2024
Multi-Objective Evolutionary Neural Architecture Search for Recurrent
  Neural Networks
Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
Reinhard Booysen
Anna Sergeevna Bosman
40
1
0
17 Mar 2024
Word Importance Explains How Prompts Affect Language Model Outputs
Word Importance Explains How Prompts Affect Language Model Outputs
Stefan Hackmann
Haniyeh Mahmoudian
Mark Steadman
Michael Schmidt
AAML
167
6
0
05 Mar 2024
Value Prediction for Spatiotemporal Gait Data Using Deep Learning
Value Prediction for Spatiotemporal Gait Data Using Deep Learning
Ryan Cavanagh
Jelena Trajkovic
Wenlu Zhang
I-Hung Khoo
Vennila Krishnan
CVBM
28
0
0
29 Feb 2024
Acoustic characterization of speech rhythm: going beyond metrics with
  recurrent neural networks
Acoustic characterization of speech rhythm: going beyond metrics with recurrent neural networks
Franccois Deloche
Laurent Bonnasse-Gahot
Judit Gervain
26
0
0
22 Jan 2024
Are self-explanations from Large Language Models faithful?
Are self-explanations from Large Language Models faithful?
Andreas Madsen
Sarath Chandar
Siva Reddy
LRM
30
25
0
15 Jan 2024
Part-of-Speech Tagger for Bodo Language using Deep Learning approach
Part-of-Speech Tagger for Bodo Language using Deep Learning approach
Dhrubajyoti Pathak
Sanjib Narzary
Sukumar Nandi
Bidisha Som
13
1
0
06 Jan 2024
MAMI: Multi-Attentional Mutual-Information for Long Sequence Neuron
  Captioning
MAMI: Multi-Attentional Mutual-Information for Long Sequence Neuron Captioning
Alfirsa Damasyifa Fauzulhaq
Wahyu Parwitayasa
Joseph A. Sugihdharma
M. F. Ridhani
N. Yudistira
34
0
0
05 Jan 2024
Knowledge Graph Enhanced Aspect-Level Sentiment Analysis
Knowledge Graph Enhanced Aspect-Level Sentiment Analysis
Kavita Sharma
Ritu Patel
Sunita Iyer
34
0
0
02 Dec 2023
Temporal Action Localization for Inertial-based Human Activity
  Recognition
Temporal Action Localization for Inertial-based Human Activity Recognition
Marius Bock
Michael Moeller
Kristof Van Laerhoven
30
0
0
27 Nov 2023
Automated Natural Language Explanation of Deep Visual Neurons with Large
  Models
Automated Natural Language Explanation of Deep Visual Neurons with Large Models
Chenxu Zhao
Wei Qian
Yucheng Shi
Mengdi Huai
Ninghao Liu
32
2
0
16 Oct 2023
Neurons in Large Language Models: Dead, N-gram, Positional
Neurons in Large Language Models: Dead, N-gram, Positional
Elena Voita
Javier Ferrando
Christoforos Nalmpantis
MILM
44
47
0
09 Sep 2023
Characterizing Learning Curves During Language Model Pre-Training:
  Learning, Forgetting, and Stability
Characterizing Learning Curves During Language Model Pre-Training: Learning, Forgetting, and Stability
Tyler A. Chang
Z. Tu
Benjamin Bergen
32
11
0
29 Aug 2023
Cerberus: A Deep Learning Hybrid Model for Lithium-Ion Battery Aging
  Estimation and Prediction Based on Relaxation Voltage Curves
Cerberus: A Deep Learning Hybrid Model for Lithium-Ion Battery Aging Estimation and Prediction Based on Relaxation Voltage Curves
Yue Xiang
Bo Jiang
Haifeng Dai
10
0
0
15 Aug 2023
A Preliminary Study of the Intrinsic Relationship between Complexity and
  Alignment
A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment
Ying Zhao
Yu Bowen
Binyuan Hui
Haiyang Yu
Fei Huang
Yongbin Li
N. Zhang
44
23
0
10 Aug 2023
Evaluating and Explaining Large Language Models for Code Using Syntactic
  Structures
Evaluating and Explaining Large Language Models for Code Using Syntactic Structures
David Nader-Palacio
Alejandro Velasco
Daniel Rodríguez-Cárdenas
Kevin Moran
Denys Poshyvanyk
34
8
0
07 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
68
82
0
03 Aug 2023
Generative Models as a Complex Systems Science: How can we make sense of
  large language model behavior?
Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?
Ari Holtzman
Peter West
Luke Zettlemoyer
AI4CE
32
14
0
31 Jul 2023
FSLens: A Visual Analytics Approach to Evaluating and Optimizing the
  Spatial Layout of Fire Stations
FSLens: A Visual Analytics Approach to Evaluating and Optimizing the Spatial Layout of Fire Stations
Long-fei Chen
He Wang
Ouyang Yang
Yang Zhou
Naiyu Wang
Quan Li
19
6
0
23 Jul 2023
Unveiling Vulnerabilities in Interpretable Deep Learning Systems with
  Query-Efficient Black-box Attacks
Unveiling Vulnerabilities in Interpretable Deep Learning Systems with Query-Efficient Black-box Attacks
Eldor Abdukhamidov
Mohammed Abuhamad
Simon S. Woo
Eric Chan-Tin
Tamer Abuhmed
AAML
18
2
0
21 Jul 2023
Visual Analytics For Machine Learning: A Data Perspective Survey
Visual Analytics For Machine Learning: A Data Perspective Survey
Junpeng Wang
Shixia Liu
Wei Zhang
HAI
32
17
0
15 Jul 2023
Microbial Genetic Algorithm-based Black-box Attack against Interpretable
  Deep Learning Systems
Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems
Eldor Abdukhamidov
Mohammed Abuhamad
Simon S. Woo
Eric Chan-Tin
Tamer Abuhmed
AAML
29
1
0
13 Jul 2023
Examining the Causal Effect of First Names on Language Models: The Case
  of Social Commonsense Reasoning
Examining the Causal Effect of First Names on Language Models: The Case of Social Commonsense Reasoning
Sullam Jeoung
Jana Diesner
H. Kilicoglu
LRM
16
5
0
01 Jun 2023
NeuroX Library for Neuron Analysis of Deep NLP Models
NeuroX Library for Neuron Analysis of Deep NLP Models
Fahim Dalvi
Hassan Sajjad
Nadir Durrani
27
10
0
26 May 2023
A Mechanistic Interpretation of Arithmetic Reasoning in Language Models
  using Causal Mediation Analysis
A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis
Alessandro Stolfo
Yonatan Belinkov
Mrinmaya Sachan
MILM
KELM
LRM
35
50
0
24 May 2023
Can LLMs facilitate interpretation of pre-trained language models?
Can LLMs facilitate interpretation of pre-trained language models?
Basel Mousi
Nadir Durrani
Fahim Dalvi
36
12
0
22 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-Xia Yu
Jianfeng Gao
MILM
34
47
0
17 May 2023
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