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2205.07774
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Gradient-based Counterfactual Explanations using Tractable Probabilistic Models
16 May 2022
Xiaoting Shao
Kristian Kersting
BDL
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Papers citing
"Gradient-based Counterfactual Explanations using Tractable Probabilistic Models"
28 / 28 papers shown
Title
Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning
Matthew Lyle Olson
Roli Khanna
Lawrence Neal
Fuxin Li
Weng-Keen Wong
CML
58
71
0
29 Jan 2021
Getting a CLUE: A Method for Explaining Uncertainty Estimates
Javier Antorán
Umang Bhatt
T. Adel
Adrian Weller
José Miguel Hernández-Lobato
UQCV
BDL
71
115
0
11 Jun 2020
Learning Model-Agnostic Counterfactual Explanations for Tabular Data
Martin Pawelczyk
Johannes Haug
Klaus Broelemann
Gjergji Kasneci
OOD
CML
58
203
0
21 Oct 2019
FACE: Feasible and Actionable Counterfactual Explanations
Rafael Poyiadzi
Kacper Sokol
Raúl Santos-Rodríguez
T. D. Bie
Peter A. Flach
66
368
0
20 Sep 2019
Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems
Shalmali Joshi
Oluwasanmi Koyejo
Warut D. Vijitbenjaronk
Been Kim
Joydeep Ghosh
FaML
56
186
0
22 Jul 2019
Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations
R. Mothilal
Amit Sharma
Chenhao Tan
CML
106
1,005
0
19 May 2019
Counterfactual Visual Explanations
Yash Goyal
Ziyan Wu
Jan Ernst
Dhruv Batra
Devi Parikh
Stefan Lee
CML
73
510
0
16 Apr 2019
Diagnosing and Enhancing VAE Models
Bin Dai
David Wipf
DRL
55
378
0
14 Mar 2019
Learning Latent Subspaces in Variational Autoencoders
Jack Klys
Jake C. Snell
R. Zemel
SSL
DRL
111
139
0
14 Dec 2018
Do Deep Generative Models Know What They Don't Know?
Eric T. Nalisnick
Akihiro Matsukawa
Yee Whye Teh
Dilan Görür
Balaji Lakshminarayanan
OOD
51
753
0
22 Oct 2018
WAIC, but Why? Generative Ensembles for Robust Anomaly Detection
Hyun-Jae Choi
Eric Jang
Alexander A. Alemi
OODD
56
82
0
02 Oct 2018
Actionable Recourse in Linear Classification
Berk Ustun
Alexander Spangher
Yang Liu
FaML
90
545
0
18 Sep 2018
Assessing Gender Bias in Machine Translation -- A Case Study with Google Translate
Marcelo O. R. Prates
Pedro H. C. Avelar
Luís C. Lamb
53
345
0
06 Sep 2018
Explaining Image Classifiers by Counterfactual Generation
C. Chang
Elliot Creager
Anna Goldenberg
David Duvenaud
VLM
58
265
0
20 Jul 2018
Variational Autoencoder with Arbitrary Conditioning
Oleg Ivanov
Michael Figurnov
Dmitry Vetrov
BDL
DRL
42
146
0
06 Jun 2018
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
Amit Dhurandhar
Pin-Yu Chen
Ronny Luss
Chun-Chen Tu
Pai-Shun Ting
Karthikeyan Shanmugam
Payel Das
FAtt
99
587
0
21 Feb 2018
Adversarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan
Pan He
Qile Zhu
Xiaolin Li
SILM
AAML
70
1,614
0
19 Dec 2017
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
91
2,332
0
01 Nov 2017
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
359
3,742
0
28 Feb 2017
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
193
8,513
0
16 Aug 2016
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
512
5,878
0
08 Jul 2016
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
113
4,878
0
14 Nov 2015
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
208
18,922
0
20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.2K
99,991
0
04 Sep 2014
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
211
14,831
1
21 Dec 2013
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
397
16,962
0
20 Dec 2013
A Differential Approach to Inference in Bayesian Networks
Adnan Darwiche
TPM
75
619
0
16 Jan 2013
Sum-Product Networks: A New Deep Architecture
Hoifung Poon
Pedro M. Domingos
TPM
74
757
0
14 Feb 2012
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