Co-occurring keywords · papers mentioning both
Papers
Reasoning about Causality in Games (Abstract Reprint)
AAAI 2024
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective
AAAI 2024
Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes
EMNLP 2024
Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models
ICLR 2024
Towards Learning and Explaining Indirect Causal Effects in Neural Networks
AAAI 2024
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning
IJCAI 2024
Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness
NeurIPS 2024
When is Transfer Learning Possible?
ICML 2024
Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction
EMNLP 2023
An Algorithm and Complexity Results for Causal Unit Selection
CLeaR 2023
A New Causal Decomposition Paradigm towards Health Equity
AISTATS 2023
Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders
NeurIPS 2023
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models
JMLR 2023
Backtracking Counterfactuals
CLeaR 2023
Causal Abstraction with Soft Interventions
CLeaR 2023
Causal Discovery in Semi-Stationary Time Series
NeurIPS 2023
Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism
AAAI 2023
Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension
ACL 2023
Causality-aware Concept Extraction based on Knowledge-guided Prompting
ACL 2023
Causal Models with Constraints
CLeaR 2023
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation
ACL 2023
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
AAAI 2023
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions
NeurIPS 2023
Counterfactual Dynamics Forecasting – a New Setting of Quantitative Reasoning
AAAI 2023
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective
AAAI 2023