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2009.07896
Cited By
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
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Papers citing
"Captum: A unified and generic model interpretability library for PyTorch"
50 / 365 papers shown
Title
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction
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Richard J. Chen
Drew F. K. Williamson
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Faisal Mahmood
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13 Apr 2023
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance
Jonathan Crabbé
M. Schaar
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13 Apr 2023
Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models
Daniel G. Krakowczyk
Paul Prasse
D. R. Reich
Sebastian Lapuschkin
Tobias Scheffer
Lena A. Jäger
33
2
0
12 Apr 2023
Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition
Wei-Jang Li
Wei Yang
Wenpeng Zhang
Tianpeng Liu
Yongxiang Liu
Y. Liu
30
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07 Apr 2023
Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms
Florin Condrea
S. Rapaka
Lucian Itu
Puneet Sharma
J. Sperl
Mohamed Ali
Marius Leordeanu
24
5
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30 Mar 2023
Not cool, calm or collected: Using emotional language to detect COVID-19 misinformation
Gabriel Asher
Phil Bohlman
Karsten Kleyensteuber
15
0
0
27 Mar 2023
Adapting Pretrained Language Models for Solving Tabular Prediction Problems in the Electronic Health Record
C. McMaster
D. Liew
Douglas E. V. Pires
24
4
0
27 Mar 2023
Better Understanding Differences in Attribution Methods via Systematic Evaluations
Sukrut Rao
Moritz D Boehle
Bernt Schiele
XAI
27
2
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21 Mar 2023
Studying Limits of Explainability by Integrated Gradients for Gene Expression Models
Myriam Bontonou
Anais Haget
Maria Boulougouri
J. Arbona
Benjamin Audit
Pierre Borgnat
15
2
0
19 Mar 2023
EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models
Ian E. Nielsen
Ravichandran Ramachandran
N. Bouaynaya
Hassan M. Fathallah-Shaykh
Ghulam Rasool
AAML
FAtt
41
7
0
15 Mar 2023
ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning
Alessio Colucci
A. Steininger
Muhammad Shafique
AAML
26
2
0
14 Mar 2023
NxPlain: Web-based Tool for Discovery of Latent Concepts
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Nadir Durrani
Hassan Sajjad
Tamim Jaban
Musab Husaini
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13
1
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06 Mar 2023
CoRTX: Contrastive Framework for Real-time Explanation
Yu-Neng Chuang
Guanchu Wang
Fan Yang
Quan-Gen Zhou
Pushkar Tripathi
Xuanting Cai
Xia Hu
44
19
0
05 Mar 2023
Inseq: An Interpretability Toolkit for Sequence Generation Models
Gabriele Sarti
Nils Feldhus
Ludwig Sickert
Oskar van der Wal
Malvina Nissim
Arianna Bisazza
30
64
0
27 Feb 2023
Solution for the EPO CodeFest on Green Plastics: Hierarchical multi-label classification of patents relating to green plastics using deep learning
Tingting Qiao
Gonzalo Moro Perez
20
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22 Feb 2023
Non-Uniform Interpolation in Integrated Gradients for Low-Latency Explainable-AI
Ashwin Bhat
A. Raychowdhury
20
4
0
22 Feb 2023
Red Teaming Deep Neural Networks with Feature Synthesis Tools
Stephen Casper
Yuxiao Li
Jiawei Li
Tong Bu
Ke Zhang
K. Hariharan
Dylan Hadfield-Menell
AAML
27
15
0
08 Feb 2023
PAMI: partition input and aggregate outputs for model interpretation
Wei Shi
Wentao Zhang
Weishi Zheng
Ruixuan Wang
FAtt
22
3
0
07 Feb 2023
Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps
Goro Kobayashi
Tatsuki Kuribayashi
Sho Yokoi
Kentaro Inui
28
14
0
01 Feb 2023
Explainable Multilayer Graph Neural Network for Cancer Gene Prediction
Michail Chatzianastasis
Michalis Vazirgiannis
Zijun Zhang
9
15
0
20 Jan 2023
AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation
Bjorn Deiseroth
Mayukh Deb
Samuel Weinbach
Manuel Brack
P. Schramowski
Kristian Kersting
17
22
0
19 Jan 2023
Learning to Maximize Mutual Information for Dynamic Feature Selection
Ian Covert
Wei Qiu
Mingyu Lu
Nayoon Kim
Nathan White
Su-In Lee
19
28
0
02 Jan 2023
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces
Pattarawat Chormai
J. Herrmann
Klaus-Robert Muller
G. Montavon
FAtt
43
17
0
30 Dec 2022
Relational Local Explanations
V. Borisov
Gjergji Kasneci
FAtt
11
0
0
23 Dec 2022
A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models
Karin de Langis
Dongyeop Kang
16
1
0
19 Dec 2022
Estimating the Adversarial Robustness of Attributions in Text with Transformers
Adam Ivankay
Mattia Rigotti
Ivan Girardi
Chiara Marchiori
P. Frossard
12
1
0
18 Dec 2022
Utilizing Mutations to Evaluate Interpretability of Neural Networks on Genomic Data
Utku Ozbulak
Solha Kang
Jasper Zuallaert
Stephen Depuydt
J. Vankerschaver
9
0
0
12 Dec 2022
A Modality-level Explainable Framework for Misinformation Checking in Social Networks
Vítor Lourencco
A. Paes
22
3
0
08 Dec 2022
A Dataless FaceSwap Detection Approach Using Synthetic Images
Anubhav Jain
Nasir D. Memon
Julian Togelius
CVBM
21
4
0
05 Dec 2022
BARTSmiles: Generative Masked Language Models for Molecular Representations
Gayane Chilingaryan
Hovhannes Tamoyan
Ani Tevosyan
N. Babayan
L. Khondkaryan
Karen Hambardzumyan
Zaven Navoyan
Hrant Khachatrian
Armen Aghajanyan
SSL
27
25
0
29 Nov 2022
Towards More Robust Interpretation via Local Gradient Alignment
Sunghwan Joo
Seokhyeon Jeong
Juyeon Heo
Adrian Weller
Taesup Moon
FAtt
25
5
0
29 Nov 2022
Foiling Explanations in Deep Neural Networks
Snir Vitrack Tamam
Raz Lapid
Moshe Sipper
AAML
17
17
0
27 Nov 2022
On Pitfalls of Measuring Occlusion Robustness through Data Distortion
Antonia Marcu
21
0
0
24 Nov 2022
Evaluating Feature Attribution Methods for Electrocardiogram
J. Suh
Jimyeong Kim
Euna Jung
Wonjong Rhee
FAtt
14
2
0
23 Nov 2022
A Rigorous Study Of The Deep Taylor Decomposition
Leon Sixt
Tim Landgraf
FAtt
AAML
19
4
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14 Nov 2022
ConceptX: A Framework for Latent Concept Analysis
Firoj Alam
Fahim Dalvi
Nadir Durrani
Hassan Sajjad
A. Khan
Jia Xu
20
5
0
12 Nov 2022
Understanding Text Classification Data and Models Using Aggregated Input Salience
Sebastian Ebert
Alice Shoshana Jakobovits
Katja Filippova
FAtt
22
3
0
10 Nov 2022
The Legal Argument Reasoning Task in Civil Procedure
Leonard Bongard
Lena Held
Ivan Habernal
AILaw
ELM
11
19
0
05 Nov 2022
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound
Arushi Gupta
Nikunj Saunshi
Dingli Yu
Kaifeng Lyu
Sanjeev Arora
AAML
FAtt
XAI
23
5
0
05 Nov 2022
SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability
Dipkamal Bhusal
Rosalyn Shin
Ajay Ashok Shewale
M. K. Veerabhadran
Michael Clifford
Sara Rampazzi
Nidhi Rastogi
FAtt
AAML
32
5
0
31 Oct 2022
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks
Yong-Min Shin
Sun-Woo Kim
Won-Yong Shin
29
4
0
31 Oct 2022
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
Dong-Ho Lee
Akshen Kadakia
Brihi Joshi
Aaron Chan
Ziyi Liu
...
Takashi Shibuya
Ryosuke Mitani
Toshiyuki Sekiya
Jay Pujara
Xiang Ren
LRM
40
9
0
30 Oct 2022
Explaining Translationese: why are Neural Classifiers Better and what do they Learn?
Kwabena Amponsah-Kaakyire
Daria Pylypenko
Josef van Genabith
C. España-Bonet
24
6
0
24 Oct 2022
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
Dipam Goswami
René Schuster
Joost van de Weijer
D. Stricker
CLL
24
18
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13 Oct 2022
Forecasting Bitcoin volatility spikes from whale transactions and CryptoQuant data using Synthesizer Transformer models
Dorien Herremans
Kah Wee Low
11
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HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection
Elvin Johnson
Shreshta Mohan
Alex Gaudio
A. Smailagic
Christos Faloutsos
A. Campilho
MedIm
19
2
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DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm
Kyriakos Schwarz
A. Pliego-Mendieta
Amina Mollaysa
Lara Planas-Paz
C. Pauli
Ahmed Allam
Michael Krauthammer
GNN
26
2
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Contrastive Corpus Attribution for Explaining Representations
Christy Lin
Hugh Chen
Chanwoo Kim
Su-In Lee
SSL
19
8
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Towards Faithful Model Explanation in NLP: A Survey
Qing Lyu
Marianna Apidianaki
Chris Callison-Burch
XAI
106
107
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22 Sep 2022
Concept Activation Regions: A Generalized Framework For Concept-Based Explanations
Jonathan Crabbé
M. Schaar
53
46
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22 Sep 2022
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