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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
WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity
  Recognition
WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition
Marius Bock
Hilde Kuehne
Kristof Van Laerhoven
Michael Moeller
EgoV
42
24
0
11 Apr 2023
Exposing the Functionalities of Neurons for Gated Recurrent Unit Based
  Sequence-to-Sequence Model
Exposing the Functionalities of Neurons for Gated Recurrent Unit Based Sequence-to-Sequence Model
Yi-Ting Lee
Da-Yi Wu
Chih-Chun Yang
Shou-De Lin
MILM
24
0
0
27 Mar 2023
DeepSeer: Interactive RNN Explanation and Debugging via State
  Abstraction
DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction
Zhijie Wang
Yuheng Huang
D. Song
Lei Ma
Tianyi Zhang
HAI
53
5
0
02 Mar 2023
Toward a Theory of Causation for Interpreting Neural Code Models
Toward a Theory of Causation for Interpreting Neural Code Models
David Nader-Palacio
Alejandro Velasco
Nathan Cooper
Á. Rodríguez
Kevin Moran
Denys Poshyvanyk
28
17
0
07 Feb 2023
Evaluating Neuron Interpretation Methods of NLP Models
Evaluating Neuron Interpretation Methods of NLP Models
Yimin Fan
Fahim Dalvi
Nadir Durrani
Hassan Sajjad
37
8
0
30 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
6
2
0
23 Jan 2023
Hierarchical Explanations for Video Action Recognition
Hierarchical Explanations for Video Action Recognition
Sadaf Gulshad
Teng Long
Nanne van Noord
FAtt
29
6
0
01 Jan 2023
Towards Scalable Physically Consistent Neural Networks: an Application
  to Data-driven Multi-zone Thermal Building Models
Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models
L. D. Natale
B. Svetozarevic
Philipp Heer
Colin N. Jones
AI4CE
26
28
0
23 Dec 2022
State-Regularized Recurrent Neural Networks to Extract Automata and
  Explain Predictions
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions
Cheng Wang
Carolin (Haas) Lawrence
Mathias Niepert
21
3
0
10 Dec 2022
Finding Skill Neurons in Pre-trained Transformer-based Language Models
Finding Skill Neurons in Pre-trained Transformer-based Language Models
Xiaozhi Wang
Kaiyue Wen
Zhengyan Zhang
Lei Hou
Zhiyuan Liu
Juanzi Li
MILM
MoE
27
50
0
14 Nov 2022
Machine learning-based approach for online fault Diagnosis of Discrete
  Event System
Machine learning-based approach for online fault Diagnosis of Discrete Event System
R. Saddem
D. Baptiste
8
3
0
24 Oct 2022
Probing with Noise: Unpicking the Warp and Weft of Embeddings
Probing with Noise: Unpicking the Warp and Weft of Embeddings
Filip Klubicka
John D. Kelleher
30
4
0
21 Oct 2022
On the Explainability of Natural Language Processing Deep Models
On the Explainability of Natural Language Processing Deep Models
Julia El Zini
M. Awad
29
82
0
13 Oct 2022
Feature Importance for Time Series Data: Improving KernelSHAP
Feature Importance for Time Series Data: Improving KernelSHAP
M. Villani
J. Lockhart
Daniele Magazzeni
FAtt
AI4TS
40
6
0
05 Oct 2022
Mining Duplicate Questions of Stack Overflow
Mining Duplicate Questions of Stack Overflow
Mihir Kale
Anirudha Rayasam
R. Parik
Pranav Dheram
21
7
0
04 Oct 2022
Model Zoos: A Dataset of Diverse Populations of Neural Network Models
Model Zoos: A Dataset of Diverse Populations of Neural Network Models
Konstantin Schurholt
Diyar Taskiran
Boris Knyazev
Xavier Giró-i-Nieto
Damian Borth
60
29
0
29 Sep 2022
Towards Faithful Model Explanation in NLP: A Survey
Towards Faithful Model Explanation in NLP: A Survey
Qing Lyu
Marianna Apidianaki
Chris Callison-Burch
XAI
114
109
0
22 Sep 2022
Policy Optimization with Sparse Global Contrastive Explanations
Policy Optimization with Sparse Global Contrastive Explanations
Jiayu Yao
S. Parbhoo
Weiwei Pan
Finale Doshi-Velez
OffRL
22
1
0
13 Jul 2022
Analyzing Encoded Concepts in Transformer Language Models
Analyzing Encoded Concepts in Transformer Language Models
Hassan Sajjad
Nadir Durrani
Fahim Dalvi
Firoj Alam
A. Khan
Jia Xu
22
41
0
27 Jun 2022
Discovering Salient Neurons in Deep NLP Models
Discovering Salient Neurons in Deep NLP Models
Nadir Durrani
Fahim Dalvi
Hassan Sajjad
KELM
MILM
16
15
0
27 Jun 2022
A Unified Understanding of Deep NLP Models for Text Classification
A Unified Understanding of Deep NLP Models for Text Classification
Zhuguo Li
Xiting Wang
Weikai Yang
Jing Wu
Zhengyan Zhang
Zhiyuan Liu
Maosong Sun
Hui Zhang
Shixia Liu
VLM
28
30
0
19 Jun 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of
  Explanations
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations
Aparna Balagopalan
Haoran Zhang
Kimia Hamidieh
Thomas Hartvigsen
Frank Rudzicz
Marzyeh Ghassemi
38
78
0
06 May 2022
Implicit N-grams Induced by Recurrence
Implicit N-grams Induced by Recurrence
Xiaobing Sun
Wei Lu
27
3
0
05 May 2022
DeepBayes -- an estimator for parameter estimation in stochastic
  nonlinear dynamical models
DeepBayes -- an estimator for parameter estimation in stochastic nonlinear dynamical models
Anubhab Ghosh
M. Abdalmoaty
S. Chatterjee
H. Hjalmarsson
BDL
11
3
0
04 May 2022
Visualizing and Explaining Language Models
Visualizing and Explaining Language Models
Adrian M. P. Braşoveanu
Razvan Andonie
MILM
VLM
29
4
0
30 Apr 2022
A Multilingual Perspective Towards the Evaluation of Attribution Methods
  in Natural Language Inference
A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language Inference
Kerem Zaman
Yonatan Belinkov
29
8
0
11 Apr 2022
VL-InterpreT: An Interactive Visualization Tool for Interpreting
  Vision-Language Transformers
VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers
Estelle Aflalo
Meng Du
Shao-Yen Tseng
Yongfei Liu
Chenfei Wu
Nan Duan
Vasudev Lal
33
45
0
30 Mar 2022
Explainability in Graph Neural Networks: An Experimental Survey
Explainability in Graph Neural Networks: An Experimental Survey
Peibo Li
Yixing Yang
Maurice Pagnucco
Yang Song
29
31
0
17 Mar 2022
Neural Network Training with Asymmetric Crosspoint Elements
Neural Network Training with Asymmetric Crosspoint Elements
M. Onen
Tayfun Gokmen
T. Todorov
T. Nowicki
Jesús A. del Alamo
J. Rozen
W. Haensch
Seyoung Kim
34
19
0
31 Jan 2022
Extracting Finite Automata from RNNs Using State Merging
Extracting Finite Automata from RNNs Using State Merging
William Merrill
Nikolaos Tsilivis
22
14
0
28 Jan 2022
Attention cannot be an Explanation
Attention cannot be an Explanation
Arjun Reddy Akula
Song-Chun Zhu
FAtt
XAI
20
6
0
26 Jan 2022
Natural Language Descriptions of Deep Visual Features
Natural Language Descriptions of Deep Visual Features
Evan Hernandez
Sarah Schwettmann
David Bau
Teona Bagashvili
Antonio Torralba
Jacob Andreas
MILM
206
117
0
26 Jan 2022
A Latent-Variable Model for Intrinsic Probing
A Latent-Variable Model for Intrinsic Probing
Karolina Stañczak
Lucas Torroba Hennigen
Adina Williams
Ryan Cotterell
Isabelle Augenstein
29
4
0
20 Jan 2022
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement
  Learning
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning
Wenjie Shi
Gao Huang
Shiji Song
Cheng Wu
34
9
0
06 Dec 2021
Controlling Conditional Language Models without Catastrophic Forgetting
Controlling Conditional Language Models without Catastrophic Forgetting
Tomasz Korbak
Hady ElSahar
Germán Kruszewski
Marc Dymetman
CLL
AI4CE
23
33
0
01 Dec 2021
Data-Based Models for Hurricane Evolution Prediction: A Deep Learning
  Approach
Data-Based Models for Hurricane Evolution Prediction: A Deep Learning Approach
Rikhi Bose
A. Pintar
E. Simiu
21
0
0
30 Oct 2021
Hyper-Representations: Self-Supervised Representation Learning on Neural
  Network Weights for Model Characteristic Prediction
Hyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
Konstantin Schurholt
Dimche Kostadinov
Damian Borth
SSL
41
14
0
28 Oct 2021
Logical Activation Functions: Logit-space equivalents of Probabilistic
  Boolean Operators
Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators
S. Lowe
Robert C. Earle
Jason dÉon
Thomas Trappenberg
Sageev Oore
23
1
0
22 Oct 2021
Interpreting Deep Learning Models in Natural Language Processing: A
  Review
Interpreting Deep Learning Models in Natural Language Processing: A Review
Xiaofei Sun
Diyi Yang
Xiaoya Li
Tianwei Zhang
Yuxian Meng
Han Qiu
Guoyin Wang
Eduard H. Hovy
Jiwei Li
19
44
0
20 Oct 2021
GenNI: Human-AI Collaboration for Data-Backed Text Generation
GenNI: Human-AI Collaboration for Data-Backed Text Generation
Hendrik Strobelt
J. Kinley
Robert Krueger
Johanna Beyer
Hanspeter Pfister
Alexander M. Rush
28
23
0
19 Oct 2021
Distinguishing rule- and exemplar-based generalization in learning
  systems
Distinguishing rule- and exemplar-based generalization in learning systems
Ishita Dasgupta
Erin Grant
Thomas Griffiths
18
13
0
08 Oct 2021
Short-term traffic prediction using physics-aware neural networks
Short-term traffic prediction using physics-aware neural networks
M. Pereira
Annika Lang
Balázs Kulcsár
34
21
0
21 Sep 2021
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing
  Human Trust in Image Recognition Models
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models
Arjun Reddy Akula
Keze Wang
Changsong Liu
Sari Saba-Sadiya
Hongjing Lu
S. Todorovic
J. Chai
Song-Chun Zhu
31
47
0
03 Sep 2021
Thermostat: A Large Collection of NLP Model Explanations and Analysis
  Tools
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools
Nils Feldhus
Robert Schwarzenberg
Sebastian Möller
24
14
0
31 Aug 2021
Neuron-level Interpretation of Deep NLP Models: A Survey
Neuron-level Interpretation of Deep NLP Models: A Survey
Hassan Sajjad
Nadir Durrani
Fahim Dalvi
MILM
AI4CE
35
80
0
30 Aug 2021
A Learning-Based Fast Uplink Grant for Massive IoT via Support Vector
  Machines and Long Short-Term Memory
A Learning-Based Fast Uplink Grant for Massive IoT via Support Vector Machines and Long Short-Term Memory
Eslam Eldeeb
M. Shehab
Hirley Alves
17
26
0
02 Aug 2021
Improving Deep Learning for HAR with shallow LSTMs
Improving Deep Learning for HAR with shallow LSTMs
Marius Bock
Alexander Hoelzemann
Michael Moeller
Kristof Van Laerhoven
HAI
AI4TS
20
53
0
02 Aug 2021
Discovering Distinctive "Semantics" in Super-Resolution Networks
Discovering Distinctive "Semantics" in Super-Resolution Networks
Yihao Liu
Anran Liu
Jinjin Gu
Zhipeng Zhang
Wenhao Wu
Yu Qiao
Chao Dong
SupR
25
18
0
01 Aug 2021
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment
  Analysis
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis
Xingbo Wang
Jianben He
Zhihua Jin
Muqiao Yang
Yong Wang
Huamin Qu
13
75
0
17 Jul 2021
SpreadsheetCoder: Formula Prediction from Semi-structured Context
SpreadsheetCoder: Formula Prediction from Semi-structured Context
Xinyun Chen
Petros Maniatis
Rishabh Singh
Charles Sutton
H. Dai
Max Lin
Denny Zhou
LMTD
AI4TS
19
47
0
26 Jun 2021
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