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1812.00524
Cited By
Generalization in anti-causal learning
3 December 2018
Niki Kilbertus
Giambattista Parascandolo
Bernhard Schölkopf
OOD
CML
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Papers citing
"Generalization in anti-causal learning"
22 / 22 papers shown
Title
Invariant Learning via Probability of Sufficient and Necessary Causes
Mengyue Yang
Zhen Fang
Yonggang Zhang
Yali Du
Furui Liu
Jean-François Ton
Jianhong Wang
Jun Wang
OODD
148
14
0
22 Sep 2023
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
L. Yu
Weisen Jiang
Han Shi
Jincheng Yu
Zhengying Liu
Yu Zhang
James T. Kwok
Zheng Li
Adrian Weller
Weiyang Liu
OSLM
LRM
118
395
0
21 Sep 2023
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models
Preben Ness
D. Marijan
Sunanda Bose
CML
61
0
0
21 Aug 2023
On Computational Mechanisms for Shared Intentionality, and Speculation on Rationality and Consciousness
John Rushby
49
0
0
03 Jun 2023
A step towards the applicability of algorithms based on invariant causal learning on observational data
Borja Guerrero Santillan
CML
OOD
44
1
0
05 Apr 2023
Structural Causal 3D Reconstruction
Weiyang Liu
Zhen Liu
Liam Paull
Adrian Weller
Bernhard Schölkopf
3DV
CML
145
13
0
20 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts
Yibo Jiang
Victor Veitch
OOD
189
36
0
04 Jul 2022
Causal Machine Learning for Healthcare and Precision Medicine
Pedro Sanchez
J. Voisey
Tian Xia
Hannah I. Watson
Alison Q. OÑeil
Sotirios A. Tsaftaris
OOD
CML
98
125
0
23 May 2022
Diffusion Causal Models for Counterfactual Estimation
Pedro Sanchez
Sotirios A. Tsaftaris
DiffM
BDL
102
76
0
21 Feb 2022
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data
Haiying Wang
Aonan Zhang
Chong-Jun Wang
48
19
0
25 Oct 2021
Desiderata for Representation Learning: A Causal Perspective
Yixin Wang
Michael I. Jordan
CML
80
84
0
08 Sep 2021
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
Lukas Schott
Julius von Kügelgen
Frederik Trauble
Peter V. Gehler
Chris Russell
Matthias Bethge
Bernhard Schölkopf
Francesco Locatello
Wieland Brendel
OOD
DRL
133
74
0
17 Jul 2021
Adversarial Visual Robustness by Causal Intervention
Kaihua Tang
Ming Tao
Hanwang Zhang
CML
AAML
85
21
0
17 Jun 2021
Towards Causal Representation Learning
Bernhard Schölkopf
Francesco Locatello
Stefan Bauer
Nan Rosemary Ke
Nal Kalchbrenner
Anirudh Goyal
Yoshua Bengio
OOD
CML
AI4CE
160
322
0
22 Feb 2021
Learning Causal Semantic Representation for Out-of-Distribution Prediction
Chang-Shu Liu
Xinwei Sun
Jindong Wang
Haoyue Tang
Tao Li
Tao Qin
Wei Chen
Tie-Yan Liu
CML
OODD
OOD
153
106
0
03 Nov 2020
A causal view of compositional zero-shot recognition
Yuval Atzmon
Felix Kreuk
Uri Shalit
Gal Chechik
OCL
BDL
CML
111
125
0
25 Jun 2020
A Causal View on Robustness of Neural Networks
Cheng Zhang
Kun Zhang
Yingzhen Li
CML
OOD
99
85
0
03 May 2020
Shortcut Learning in Deep Neural Networks
Robert Geirhos
J. Jacobsen
Claudio Michaelis
R. Zemel
Wieland Brendel
Matthias Bethge
Felix Wichmann
231
2,069
0
16 Apr 2020
Causality for Machine Learning
Bernhard Schölkopf
CML
AI4CE
LRM
117
465
0
24 Nov 2019
Predicting with High Correlation Features
Devansh Arpit
Caiming Xiong
R. Socher
OODD
OOD
58
7
0
01 Oct 2019
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
266
2,249
0
05 Jul 2019
Attribution-driven Causal Analysis for Detection of Adversarial Examples
Susmit Jha
Sunny Raj
S. Fernandes
Sumit Kumar Jha
S. Jha
Gunjan Verma
B. Jalaeian
A. Swami
AAML
75
17
0
14 Mar 2019
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