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Captum: A unified and generic model interpretability library for PyTorch

Captum: A unified and generic model interpretability library for PyTorch

16 September 2020
Narine Kokhlikyan
Vivek Miglani
Miguel Martin
Edward Wang
B. Alsallakh
Jonathan Reynolds
Alexander Melnikov
Natalia Kliushkina
Carlos Araya
Siqi Yan
Orion Reblitz-Richardson
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Captum: A unified and generic model interpretability library for PyTorch"

50 / 423 papers shown
Title
Forecasting Bitcoin volatility spikes from whale transactions and
  CryptoQuant data using Synthesizer Transformer models
Forecasting Bitcoin volatility spikes from whale transactions and CryptoQuant data using Synthesizer Transformer modelsIEEE Access (IEEE Access), 2022
Dorien Herremans
Kah Wee Low
144
6
0
06 Oct 2022
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly
  Detection
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection
Elvin Johnson
Shreshta Mohan
Alex Gaudio
A. Smailagic
Christos Faloutsos
A. Campilho
MedIm
71
3
0
05 Oct 2022
DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm
DDoS: A Graph Neural Network based Drug Synergy Prediction AlgorithmACM Conference on Health, Inference, and Learning (ACM CHIL), 2022
Kyriakos Schwarz
A. Pliego-Mendieta
Amina Mollaysa
Lara Planas-Paz
C. Pauli
Ahmed Allam
Michael Krauthammer
GNN
125
3
0
03 Oct 2022
Contrastive Corpus Attribution for Explaining Representations
Contrastive Corpus Attribution for Explaining RepresentationsInternational Conference on Learning Representations (ICLR), 2022
Christy Lin
Hugh Chen
Chanwoo Kim
Su-In Lee
SSL
147
9
0
30 Sep 2022
Towards Faithful Model Explanation in NLP: A Survey
Towards Faithful Model Explanation in NLP: A SurveyComputational Linguistics (CL), 2022
Qing Lyu
Marianna Apidianaki
Chris Callison-Burch
XAI
434
162
0
22 Sep 2022
Concept Activation Regions: A Generalized Framework For Concept-Based
  Explanations
Concept Activation Regions: A Generalized Framework For Concept-Based ExplanationsNeural Information Processing Systems (NeurIPS), 2022
Jonathan Crabbé
M. Schaar
256
65
0
22 Sep 2022
Scope of Pre-trained Language Models for Detecting Conflicting Health
  Information
Scope of Pre-trained Language Models for Detecting Conflicting Health InformationInternational Conference on Web and Social Media (ICWSM), 2022
Josepho D. Gatto
Madhusudan Basak
S. Preum
97
7
0
22 Sep 2022
Fairness Reprogramming
Fairness ReprogrammingNeural Information Processing Systems (NeurIPS), 2022
Guanhua Zhang
Yihua Zhang
Yang Zhang
Wenqi Fan
Qing Li
Sijia Liu
Shiyu Chang
AAML
527
42
0
21 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
109
4
0
18 Sep 2022
Machine Reading, Fast and Slow: When Do Models "Understand" Language?
Machine Reading, Fast and Slow: When Do Models "Understand" Language?International Conference on Computational Linguistics (COLING), 2022
Sagnik Ray Choudhury
Anna Rogers
Isabelle Augenstein
LRM
164
19
0
15 Sep 2022
Towards Benchmarking Explainable Artificial Intelligence Methods
Towards Benchmarking Explainable Artificial Intelligence Methods
Lars Holmberg
78
5
0
25 Aug 2022
POPDx: An Automated Framework for Patient Phenotyping across 392,246
  Individuals in the UK Biobank Study
POPDx: An Automated Framework for Patient Phenotyping across 392,246 Individuals in the UK Biobank Study
Lu Yang
Sheng Wang
Russ Altman
LM&MA
147
5
0
23 Aug 2022
SAFARI: Versatile and Efficient Evaluations for Robustness of
  Interpretability
SAFARI: Versatile and Efficient Evaluations for Robustness of InterpretabilityIEEE International Conference on Computer Vision (ICCV), 2022
Wei Huang
Xingyu Zhao
Gao Jin
Xiaowei Huang
AAML
261
36
0
19 Aug 2022
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA
Rachneet Sachdeva
Haritz Puerto
Tim Baumgärtner
Sewin Tariverdian
Hao Zhang
Kexin Wang
H. Saad
Leonardo F. R. Ribeiro
Iryna Gurevych
AAML
160
2
0
19 Aug 2022
TSInterpret: A unified framework for time series interpretability
TSInterpret: A unified framework for time series interpretability
Jacqueline Höllig
Cedric Kulbach
Steffen Thoma
AI4TSAI4CE
232
5
0
10 Aug 2022
Generalizability Analysis of Graph-based Trajectory Predictor with
  Vectorized Representation
Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized RepresentationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Juanwu Lu
Wei Zhan
Masayoshi Tomizuka
Yeping Hu
120
7
0
06 Aug 2022
ferret: a Framework for Benchmarking Explainers on Transformers
ferret: a Framework for Benchmarking Explainers on TransformersConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Giuseppe Attanasio
Eliana Pastor
C. Bonaventura
Debora Nozza
276
39
0
02 Aug 2022
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework
  for Model Monitoring
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model MonitoringIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Nandita Bhaskhar
D. Rubin
Christopher Lee-Messer
170
9
0
22 Jul 2022
BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial
  Intelligence
BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial Intelligence
Isha Hameed
Samuel Sharpe
Daniel Barcklow
Justin Au-yeung
Sahil Verma
Jocelyn Huang
Brian Barr
C. Bayan Bruss
196
22
0
12 Jul 2022
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and
  Multi-Purpose Corpus of Patent Applications
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent ApplicationsNeural Information Processing Systems (NeurIPS), 2022
Mirac Suzgun
Luke Melas-Kyriazi
Suproteem K. Sarkar
S. Kominers
Stuart M. Shieber
181
38
0
08 Jul 2022
Auditing Visualizations: Transparency Methods Struggle to Detect
  Anomalous Behavior
Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior
Jean-Stanislas Denain
Jacob Steinhardt
AAML
243
7
0
27 Jun 2022
OpenXAI: Towards a Transparent Evaluation of Model Explanations
OpenXAI: Towards a Transparent Evaluation of Model Explanations
Chirag Agarwal
Dan Ley
Satyapriya Krishna
Eshika Saxena
Martin Pawelczyk
Nari Johnson
Isha Puri
Marinka Zitnik
Himabindu Lakkaraju
XAI
398
168
0
22 Jun 2022
High Resolution Point Clouds from mmWave Radar
High Resolution Point Clouds from mmWave RadarIEEE International Conference on Robotics and Automation (ICRA), 2022
Akarsh Prabhakara
Tao Jin
Arnav M. Das
Gantavya Bhatt
Lilly Kumari
E. Soltanaghaei
J. Bilmes
Swarun Kumar
Anthony G. Rowe
216
81
0
18 Jun 2022
Accelerating Shapley Explanation via Contributive Cooperator Selection
Accelerating Shapley Explanation via Contributive Cooperator SelectionInternational Conference on Machine Learning (ICML), 2022
Guanchu Wang
Yu-Neng Chuang
Mengnan Du
Fan Yang
Quan-Gen Zhou
Pushkar Tripathi
Xuanting Cai
Helen Zhou
FAtt
189
25
0
17 Jun 2022
Cross-lingual AMR Aligner: Paying Attention to Cross-Attention
Cross-lingual AMR Aligner: Paying Attention to Cross-AttentionAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Abelardo Carlos Martínez Lorenzo
Pere-Lluís Huguet Cabot
Roberto Navigli
156
6
0
15 Jun 2022
Attributions Beyond Neural Networks: The Linear Program Case
Attributions Beyond Neural Networks: The Linear Program Case
Florian Peter Busch
Matej Zečević
Kristian Kersting
Devendra Singh Dhami
FAtt
133
0
0
14 Jun 2022
Mediators: Conversational Agents Explaining NLP Model Behavior
Mediators: Conversational Agents Explaining NLP Model Behavior
Nils Feldhus
A. Ravichandran
Sebastian Möller
210
16
0
13 Jun 2022
Learning to Estimate Shapley Values with Vision Transformers
Learning to Estimate Shapley Values with Vision TransformersInternational Conference on Learning Representations (ICLR), 2022
Ian Covert
Chanwoo Kim
Su-In Lee
FAtt
235
52
0
10 Jun 2022
Xplique: A Deep Learning Explainability Toolbox
Xplique: A Deep Learning Explainability Toolbox
Thomas Fel
Lucas Hervier
David Vigouroux
Antonin Poché
Justin Plakoo
...
Agustin Picard
C. Nicodeme
Laurent Gardes
G. Flandin
Thomas Serre
184
41
0
09 Jun 2022
Fooling Explanations in Text Classifiers
Fooling Explanations in Text ClassifiersInternational Conference on Learning Representations (ICLR), 2022
Adam Ivankay
Ivan Girardi
Chiara Marchiori
P. Frossard
AAML
165
20
0
07 Jun 2022
Saliency Cards: A Framework to Characterize and Compare Saliency Methods
Saliency Cards: A Framework to Characterize and Compare Saliency MethodsConference on Fairness, Accountability and Transparency (FAccT), 2022
Angie Boggust
Harini Suresh
Hendrik Strobelt
John Guttag
Arvindmani Satyanarayan
FAttXAI
191
15
0
07 Jun 2022
Dual Decomposition of Convex Optimization Layers for Consistent
  Attention in Medical Images
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical ImagesInternational Conference on Machine Learning (ICML), 2022
Tom Ron
M. Weiler-Sagie
Tamir Hazan
FAttMedIm
178
7
0
06 Jun 2022
Estimating building energy efficiency from street view imagery, aerial
  imagery, and land surface temperature data
Estimating building energy efficiency from street view imagery, aerial imagery, and land surface temperature dataApplied Energy (Appl. Energy), 2022
Kevin Mayer
Lukas Haas
Tianyuan Huang
Juan Bernabé-Moreno
Ram Rajagopal
Martin Fischer
138
34
0
05 Jun 2022
Actuarial Applications of Natural Language Processing Using
  Transformers: Case Studies for Using Text Features in an Actuarial Context
Actuarial Applications of Natural Language Processing Using Transformers: Case Studies for Using Text Features in an Actuarial ContextBritish Actuarial Journal (BAJ), 2022
Andrea Troxler
Jürg Schelldorfer
148
13
0
04 Jun 2022
Which Explanation Should I Choose? A Function Approximation Perspective
  to Characterizing Post Hoc Explanations
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc ExplanationsNeural Information Processing Systems (NeurIPS), 2022
Tessa Han
Suraj Srinivas
Himabindu Lakkaraju
FAtt
300
105
0
02 Jun 2022
Interpretability Guarantees with Merlin-Arthur Classifiers
Interpretability Guarantees with Merlin-Arthur ClassifiersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
S. Wäldchen
Kartikey Sharma
Berkant Turan
Max Zimmer
Sebastian Pokutta
FAtt
279
8
0
01 Jun 2022
How explainable are adversarially-robust CNNs?
How explainable are adversarially-robust CNNs?
Mehdi Nourelahi
Lars Kotthoff
Peijie Chen
Anh Totti Nguyen
AAMLFAtt
168
10
0
25 May 2022
Deletion and Insertion Tests in Regression Models
Deletion and Insertion Tests in Regression ModelsJournal of machine learning research (JMLR), 2022
Naofumi Hama
Masayoshi Mase
Art B. Owen
282
12
0
25 May 2022
Interpretation Quality Score for Measuring the Quality of
  interpretability methods
Interpretation Quality Score for Measuring the Quality of interpretability methods
Sean Xie
Soroush Vosoughi
Saeed Hassanpour
XAI
245
5
0
24 May 2022
Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated
  Gradient-based Localization
Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-based LocalizationInternational Symposium on Visual Computing (ISVC), 2022
Mirtha Lucas
Miguel A. Lerma
J. Furst
D. Raicu
FAtt
133
15
0
22 May 2022
Fairness via Explanation Quality: Evaluating Disparities in the Quality
  of Post hoc Explanations
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc ExplanationsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022
Jessica Dai
Sohini Upadhyay
Ulrich Aïvodji
Stephen H. Bach
Himabindu Lakkaraju
209
61
0
15 May 2022
Poly-CAM: High resolution class activation map for convolutional neural
  networks
Poly-CAM: High resolution class activation map for convolutional neural networksMachine Vision and Applications (MVA), 2022
A. Englebert
O. Cornu
Christophe De Vleeschouwer
164
21
0
28 Apr 2022
Improving Multimodal Speech Recognition by Data Augmentation and Speech
  Representations
Improving Multimodal Speech Recognition by Data Augmentation and Speech Representations
Dan Oneaţă
H. Cucu
102
22
0
27 Apr 2022
A survey on attention mechanisms for medical applications: are we moving
  towards better algorithms?
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?IEEE Access (IEEE Access), 2022
Tiago Gonçalves
Isabel Rio-Torto
Luís F. Teixeira
J. S. Cardoso
OODMedIm
184
52
0
26 Apr 2022
Testing robustness of predictions of trained classifiers against
  naturally occurring perturbations
Testing robustness of predictions of trained classifiers against naturally occurring perturbations
S. Scher
A. Trugler
OODAAML
285
3
0
21 Apr 2022
Explainable Analysis of Deep Learning Methods for SAR Image
  Classification
Explainable Analysis of Deep Learning Methods for SAR Image ClassificationIEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022
Sheng Su
Ziteng Cui
Weiwei Guo
Zenghui Zhang
Wenxian Yu
XAI
103
14
0
14 Apr 2022
A Novel Approach to Train Diverse Types of Language Models for Health
  Mention Classification of Tweets
A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of TweetsInternational Conference on Artificial Neural Networks (ICANN), 2022
Pervaiz Iqbal Khan
Imran Razzak
Andreas Dengel
Sheraz Ahmed
MedIm
104
5
0
13 Apr 2022
Can Question Rewriting Help Conversational Question Answering?
Can Question Rewriting Help Conversational Question Answering?First Workshop on Insights from Negative Results in NLP (IFNRN), 2022
Etsuko Ishii
Yan Xu
Samuel Cahyawijaya
Bryan Wilie
218
12
0
13 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 InferenceConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Kerem Zaman
Yonatan Belinkov
205
8
0
11 Apr 2022
On Explaining Multimodal Hateful Meme Detection Models
On Explaining Multimodal Hateful Meme Detection ModelsThe Web Conference (WWW), 2022
Ming Shan Hee
Roy Ka-wei Lee
Wen-Haw Chong
VLM
227
49
0
04 Apr 2022
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