Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Learning Types
Machine Learning
›
Learning Types
›
Causal Inference
523 directly classified papers
Papers per year
2007: 1
2008: 4
2009: 1
2010: 5
2011: 1
2012: 2
2013: 4
2014: 4
2015: 5
2016: 12
2017: 12
2018: 23
2019: 39
2020: 48
2021: 63
2022: 85
2023: 84
2024: 85
2025: 45
Papers
Doubly Abductive Counterfactual Inference for Text-based Image Editing
CVPR 2024
CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification
AAAI 2024
CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification
CVPR 2024
Topic-Aware Causal Intervention for Counterfactual Detection
EMNLP 2024
Amortized Active Causal Induction with Deep Reinforcement Learning
NIPS 2024
Efficient Enumeration of Markov Equivalent DAGs
AAAI 2023
Vector Causal Inference between Two Groups of Variables
AAAI 2023
Causal Effect Identification in Cluster DAGs
AAAI 2023
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data
AAAI 2023
Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance
AAAI 2023
Disentangled Representation for Causal Mediation Analysis
AAAI 2023
Reinforcement Causal Structure Learning on Order Graph
AAAI 2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
AAAI 2023
Jump Interval-Learning for Individualized Decision Making with Continuous Treatments
JMLR 2023
Stable Learning via Sparse Variable Independence
AAAI 2023
Improvement-Focused Causal Recourse (ICR)
AAAI 2023
COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering
AAAI 2023
CoVariance-based Causal Debiasing for Entity and Relation Extraction
EMNLP 2023
Causal Inference with Conditional Instruments Using Deep Generative Models
AAAI 2023
Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension
ACL 2023
SSNSheerinKavitha at SemEval-2023 Task 7: Semantic Rule Based Label Prediction Using TF-IDF and BM25 Techniques
SEMEVAL 2023
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression
CVPR 2023
Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction
AAAI 2023
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction
AAAI 2023
Enhancing Event Causality Identification with Counterfactual Reasoning
ACL 2023
<
1
…
5
6
7
…
21
>