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Visual Causal Feature Learning

Visual Causal Feature Learning

7 December 2014
Krzysztof Chalupka
Pietro Perona
F. Eberhardt
    CML
    OOD
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Papers citing "Visual Causal Feature Learning"

30 / 30 papers shown
Title
What is causal about causal models and representations?
What is causal about causal models and representations?
Frederik Hytting Jørgensen
Luigi Gresele
S. Weichwald
CML
105
0
0
31 Jan 2025
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Numair Sani
Daniel Malinsky
I. Shpitser
CML
76
15
0
10 Jan 2025
Robust Emotion Recognition in Context Debiasing
Robust Emotion Recognition in Context Debiasing
Dingkang Yang
Kun Yang
Mingcheng Li
Shunli Wang
Shuai Wang
Lihua Zhang
35
15
0
09 Mar 2024
Measuring the Effect of Causal Disentanglement on the Adversarial
  Robustness of Neural Network Models
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models
Preben Ness
D. Marijan
Sunanda Bose
CML
29
0
0
21 Aug 2023
Nonparametric Identifiability of Causal Representations from Unknown
  Interventions
Nonparametric Identifiability of Causal Representations from Unknown Interventions
Julius von Kügelgen
M. Besserve
Wendong Liang
Luigi Gresele
Armin Kekić
Elias Bareinboim
David M. Blei
Bernhard Schölkopf
CML
18
56
0
01 Jun 2023
Neuro-Causal Factor Analysis
Neuro-Causal Factor Analysis
Alex Markham
Ming-Yu Liu
Bryon Aragam
Liam Solus
CML
26
3
0
31 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks &
  Defenses
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
37
49
0
18 May 2023
Neural Algorithmic Reasoning with Causal Regularisation
Neural Algorithmic Reasoning with Causal Regularisation
Beatrice Bevilacqua
Kyriacos Nikiforou
Borja Ibarz
Ioana Bica
Michela Paganini
Charles Blundell
Jovana Mitrović
Petar Velivcković
OOD
CML
NAI
36
26
0
20 Feb 2023
Integrating Earth Observation Data into Causal Inference: Challenges and
  Opportunities
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities
Connor Jerzak
Fredrik D. Johansson
Adel Daoud
CML
38
11
0
30 Jan 2023
Causal Abstraction with Soft Interventions
Causal Abstraction with Soft Interventions
Riccardo Massidda
Atticus Geiger
Thomas F. Icard
D. Bacciu
23
13
0
22 Nov 2022
Image-based Treatment Effect Heterogeneity
Image-based Treatment Effect Heterogeneity
Connor Jerzak
Fredrik D. Johansson
Adel Daoud
26
20
0
13 Jun 2022
Weakly supervised causal representation learning
Weakly supervised causal representation learning
Johann Brehmer
P. D. Haan
Phillip Lippe
Taco S. Cohen
OOD
CML
30
120
0
30 Mar 2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences
CITRIS: Causal Identifiability from Temporal Intervened Sequences
Phillip Lippe
Sara Magliacane
Sindy Lowe
Yuki M. Asano
Taco S. Cohen
E. Gavves
CML
40
101
0
07 Feb 2022
On the Equivalence of Causal Models: A Category-Theoretic Approach
On the Equivalence of Causal Models: A Category-Theoretic Approach
J. Otsuka
H. Saigo
28
12
0
18 Jan 2022
Encoding Causal Macrovariables
Encoding Causal Macrovariables
Benedikt Höltgen
CML
12
3
0
29 Nov 2021
Towards Principled Disentanglement for Domain Generalization
Towards Principled Disentanglement for Domain Generalization
Hanlin Zhang
Yi-Fan Zhang
Weiyang Liu
Adrian Weller
Bernhard Schölkopf
Eric P. Xing
OOD
28
112
0
27 Nov 2021
Desiderata for Representation Learning: A Causal Perspective
Desiderata for Representation Learning: A Causal Perspective
Yixin Wang
Michael I. Jordan
CML
30
80
0
08 Sep 2021
Human Trajectory Prediction via Counterfactual Analysis
Human Trajectory Prediction via Counterfactual Analysis
Guangyi Chen
Junlong Li
Jiwen Lu
Jie Zhou
19
67
0
29 Jul 2021
Interventional Video Grounding with Dual Contrastive Learning
Interventional Video Grounding with Dual Contrastive Learning
Guoshun Nan
Rui Qiao
Yao Xiao
Jun Liu
Sicong Leng
H. Zhang
Wei Lu
20
144
0
21 Jun 2021
The Blessings of Unlabeled Background in Untrimmed Videos
The Blessings of Unlabeled Background in Untrimmed Videos
Yuan Liu
Jingyuan Chen
Zhenfang Chen
Bing Deng
Jianqiang Huang
Hanwang Zhang
CML
31
43
0
24 Mar 2021
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained
  Classification Problems
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
N. Sohoni
Jared A. Dunnmon
Geoffrey Angus
Albert Gu
Christopher Ré
16
240
0
25 Nov 2020
Interventional Few-Shot Learning
Interventional Few-Shot Learning
Zhongqi Yue
Hanwang Zhang
Qianru Sun
Xiansheng Hua
24
225
0
28 Sep 2020
Causal Feature Learning for Utility-Maximizing Agents
Causal Feature Learning for Utility-Maximizing Agents
David Kinney
David S. Watson
14
9
0
18 May 2020
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Yoshua Bengio
T. Deleu
Nasim Rahaman
Nan Rosemary Ke
Sébastien Lachapelle
O. Bilaniuk
Anirudh Goyal
C. Pal
CML
OOD
43
332
0
30 Jan 2019
Abstracting Causal Models
Abstracting Causal Models
Sander Beckers
Joseph Y. Halpern
22
103
0
10 Dec 2018
Security and Privacy Approaches in Mixed Reality: A Literature Survey
Security and Privacy Approaches in Mixed Reality: A Literature Survey
Jaybie A. de Guzman
Kanchana Thilakarathna
Aruna Seneviratne
15
132
0
15 Feb 2018
Causal Consistency of Structural Equation Models
Causal Consistency of Structural Equation Models
Paul Kishan Rubenstein
S. Weichwald
Stephan Bongers
Joris M. Mooij
Dominik Janzing
Moritz Grosse-Wentrup
Bernhard Schölkopf
CML
16
122
0
04 Jul 2017
MERLiN: Mixture Effect Recovery in Linear Networks
MERLiN: Mixture Effect Recovery in Linear Networks
S. Weichwald
Moritz Grosse-Wentrup
A. Gretton
CML
20
7
0
03 Dec 2015
Analysis of classifiers' robustness to adversarial perturbations
Analysis of classifiers' robustness to adversarial perturbations
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
35
360
0
09 Feb 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
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