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SSL Framework for Causal Inconsistency between Structures and Representations
v1v2 (latest)

SSL Framework for Causal Inconsistency between Structures and Representations

3 January 2025
Hang Chen
Xinyu Yang
Keqing Du
Wenya Wang
ArXiv (abs)PDFHTML

Papers citing "SSL Framework for Causal Inconsistency between Structures and Representations"

42 / 42 papers shown
Title
Towards Causal Relationship in Indefinite Data: Baseline Model and New
  Datasets
Towards Causal Relationship in Indefinite Data: Baseline Model and New Datasets
Hang Chen
Xinyu Yang
Keqing Du
CML
71
2
0
16 Jan 2024
DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment
  Design
DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design
Clare Lyle
Arash Mehrjou
Pascal Notin
Andrew Jesson
Stefan Bauer
Y. Gal
Patrick Schwab
98
12
0
07 Dec 2023
High Fidelity Image Counterfactuals with Probabilistic Causal Models
High Fidelity Image Counterfactuals with Probabilistic Causal Models
Fabio De Sousa Ribeiro
Tian Xia
M. Monteiro
Nick Pawlowski
Ben Glocker
DiffM
82
40
0
27 Jun 2023
Towards Trustworthy Explanation: On Causal Rationalization
Towards Trustworthy Explanation: On Causal Rationalization
Wenbo Zhang
Tong Wu
Yunlong Wang
Yong Cai
Hengrui Cai
CML
96
18
0
25 Jun 2023
Learning a Structural Causal Model for Intuition Reasoning in
  Conversation
Learning a Structural Causal Model for Intuition Reasoning in Conversation
Hang Chen
Bingyu Liao
Jing Luo
Wenjing Zhu
Xinyu Yang
LRM
104
13
0
28 May 2023
Covariate balancing using the integral probability metric for causal
  inference
Covariate balancing using the integral probability metric for causal inference
Insung Kong
Yuha Park
Joonhyuk Jung
Kwonsang Lee
Yongdai Kim
91
8
0
23 May 2023
DEGREE: Decomposition Based Explanation For Graph Neural Networks
DEGREE: Decomposition Based Explanation For Graph Neural Networks
Qizhang Feng
Ninghao Liu
Fan Yang
Ruixiang Tang
Mengnan Du
Helen Zhou
90
23
0
22 May 2023
Generative Causal Representation Learning for Out-of-Distribution Motion
  Forecasting
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting
Shayan Shirahmad Gale Bagi
Zahra Gharaee
Oliver Schulte
Mark Crowley
OODDOOD
74
13
0
17 Feb 2023
Knowledge-Bridged Causal Interaction Network for Causal Emotion
  Entailment
Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment
Weixiang Zhao
Yanyan Zhao
Zhuojun Li
Bing Qin
60
34
0
06 Dec 2022
Automatic Chain of Thought Prompting in Large Language Models
Automatic Chain of Thought Prompting in Large Language Models
Zhuosheng Zhang
Aston Zhang
Mu Li
Alexander J. Smola
ReLMLRM
153
635
0
07 Oct 2022
Debiasing Graph Neural Networks via Learning Disentangled Causal
  Substructure
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
Shaohua Fan
Xiao Wang
Yanhu Mo
Chuan Shi
Jian Tang
CMLOODAI4CE
117
97
0
28 Sep 2022
Interventional Causal Representation Learning
Interventional Causal Representation Learning
Kartik Ahuja
Divyat Mahajan
Yixin Wang
Yoshua Bengio
CML
128
95
0
24 Sep 2022
Towards Optimization and Model Selection for Domain Generalization: A
  Mixup-guided Solution
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution
Wang Lu
Jindong Wang
Yidong Wang
Xingxu Xie
OOD
78
5
0
01 Sep 2022
A Meta-Reinforcement Learning Algorithm for Causal Discovery
A Meta-Reinforcement Learning Algorithm for Causal Discovery
Andreas Sauter
Erman Acar
Vincent François-Lavet
CML
86
19
0
18 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain
  Shifts
Invariant and Transportable Representations for Anti-Causal Domain Shifts
Yibo Jiang
Victor Veitch
OOD
181
36
0
04 Jul 2022
Image-based Treatment Effect Heterogeneity
Image-based Treatment Effect Heterogeneity
Connor Jerzak
Fredrik D. Johansson
Adel Daoud
105
22
0
13 Jun 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLMLRM
532
4,077
0
24 May 2022
Cross-Enhancement Transformer for Action Segmentation
Cross-Enhancement Transformer for Action Segmentation
Jiahui Wang
Zhenyou Wang
Shanna Zhuang
Hui Wang
ViT
90
23
0
19 May 2022
Causality Inspired Representation Learning for Domain Generalization
Causality Inspired Representation Learning for Domain Generalization
Fangrui Lv
Jian Liang
Shuang Li
Bin Zang
Chi Harold Liu
Ziteng Wang
Di Liu
CMLOOD
111
174
0
27 Mar 2022
Discovering Invariant Rationales for Graph Neural Networks
Discovering Invariant Rationales for Graph Neural Networks
Yingmin Wu
Xiang Wang
An Zhang
Xiangnan He
Tat-Seng Chua
OODAI4CE
170
234
0
30 Jan 2022
Transporting Causal Mechanisms for Unsupervised Domain Adaptation
Transporting Causal Mechanisms for Unsupervised Domain Adaptation
Zhongqi Yue
Qianru Sun
Xiansheng Hua
Hanwang Zhang
CML
131
56
0
23 Jul 2021
Directed Acyclic Graph Network for Conversational Emotion Recognition
Directed Acyclic Graph Network for Conversational Emotion Recognition
Weizhou Shen
Siyue Wu
Yunyi Yang
Xiaojun Quan
86
243
0
27 May 2021
Coarse to Fine Multi-Resolution Temporal Convolutional Network
Coarse to Fine Multi-Resolution Temporal Convolutional Network
Dipika Singhania
R. Rahaman
Angela Yao
AI4TS
83
55
0
23 May 2021
Recognizing Emotion Cause in Conversations
Recognizing Emotion Cause in Conversations
Soujanya Poria
Navonil Majumder
Devamanyu Hazarika
Deepanway Ghosal
Rishabh Bhardwaj
...
Romila Ghosh
Abhinaba Roy
Niyati Chhaya
Alexander Gelbukh
Rada Mihalcea
98
129
0
22 Dec 2020
Domain adaptation under structural causal models
Domain adaptation under structural causal models
Yuansi Chen
Peter Buhlmann
CMLOODAI4CE
123
40
0
29 Oct 2020
Alleviating Over-segmentation Errors by Detecting Action Boundaries
Alleviating Over-segmentation Errors by Detecting Action Boundaries
Yuchi Ishikawa
Seito Kasai
Y. Aoki
Hirokatsu Kataoka
55
139
0
14 Jul 2020
Whitening for Self-Supervised Representation Learning
Whitening for Self-Supervised Representation Learning
Aleksandr Ermolov
Aliaksandr Siarohin
E. Sangineto
N. Sebe
SSL
96
315
0
13 Jul 2020
Amortized Causal Discovery: Learning to Infer Causal Graphs from
  Time-Series Data
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
Sindy Löwe
David Madras
R. Zemel
Max Welling
CMLBDLAI4TS
116
133
0
18 Jun 2020
Factorization of the Partial Covariance in Singly-Connected Path
  Diagrams
Factorization of the Partial Covariance in Singly-Connected Path Diagrams
J. Peña
54
2
0
12 Feb 2020
Causal Discovery from Incomplete Data: A Deep Learning Approach
Causal Discovery from Incomplete Data: A Deep Learning Approach
Yuhao Wang
Vlado Menkovski
Hao Wang
Xin Du
Mykola Pechenizkiy
CML
75
34
0
15 Jan 2020
Integrating overlapping datasets using bivariate causal discovery
Integrating overlapping datasets using bivariate causal discovery
Anish Dhir
Ciarán M. Gilligan-Lee
CML
34
20
0
24 Oct 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks
DAG-GNN: DAG Structure Learning with Graph Neural Networks
Yue Yu
Jie Chen
Tian Gao
Mo Yu
BDLCMLGNN
87
490
0
22 Apr 2019
MS-TCN: Multi-Stage Temporal Convolutional Network for Action
  Segmentation
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation
Yazan Abu Farha
Juergen Gall
74
668
0
05 Mar 2019
Causal Discovery from Heterogeneous/Nonstationary Data with Independent
  Changes
Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes
Erdun Gao
Kun Zhang
Jiji Zhang
Joseph Ramsey
Ruben Sanchez-Romero
Clark Glymour
Bernhard Schölkopf
82
230
0
05 Mar 2019
Abstracting Causal Models
Abstracting Causal Models
Sander Beckers
Joseph Y. Halpern
104
107
0
10 Dec 2018
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in
  Conversations
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations
Soujanya Poria
Devamanyu Hazarika
Navonil Majumder
Gautam Naik
Min Zhang
Rada Mihalcea
121
1,077
0
05 Oct 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning
DAGs with NO TEARS: Continuous Optimization for Structure Learning
Xun Zheng
Bryon Aragam
Pradeep Ravikumar
Eric Xing
NoLaCMLOffRL
107
950
0
04 Mar 2018
DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset
DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset
Yanran Li
Hui Su
Xiaoyu Shen
Wenjie Li
Ziqiang Cao
Shuzi Niu
76
1,305
0
11 Oct 2017
Emotion Detection on TV Show Transcripts with Sequence-based
  Convolutional Neural Networks
Emotion Detection on TV Show Transcripts with Sequence-based Convolutional Neural Networks
Sayyed M. Zahiri
Jinho Choi
91
225
0
14 Aug 2017
Domain Adaptation by Using Causal Inference to Predict Invariant
  Conditional Distributions
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
Sara Magliacane
T. V. Ommen
Tom Claassen
Stephan Bongers
Philip Versteeg
Joris M. Mooij
OODCML
112
237
0
20 Jul 2017
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
88
129
0
04 Jul 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira
Andrew Zisserman
240
8,041
0
22 May 2017
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