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Causal Inference

3310 directly classified papers

Papers per year

Papers

Provably Efficient Causal Reinforcement Learning with Confounded Observational Data NIPS 2021

Efficient Online Estimation of Causal Effects by Deciding What to Observe NIPS 2021

Sequential Causal Imitation Learning with Unobserved Confounders NIPS 2021

Learning Adjustment Sets from Observational and Limited Experimental Data AAAI 2021

THiFly_Queens at SemEval-2021 Task 9: Two-stage Statement Verification with Adaptive Ensembling and Slot-based Operation ACL 2021

GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion ICCV 2021

When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes ICCV 2021

Independent mechanism analysis, a new concept? NIPS 2021

On Path Integration of Grid Cells: Group Representation and Isotropic Scaling NIPS 2021

Can Sequence-to-Sequence Models Crack Substitution Ciphers? ACL 2021

Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020 ACL 2021

Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information NIPS 2021

Signature-Based Abduction with Fresh Individuals and Complex Concepts for Description Logics IJCAI 2021

Counterfactual Adversarial Learning with Representation Interpolation EMNLP 2021

Learning the Latent Heat Diffusion Process through Structural Brain Network from Longitudinal $\beta$-Amyloid Data MIDL 2021

Bridging Perception, Memory, and Inference through Semantic Relations EMNLP 2021

Error Causal inference for Multi-Fusion models NAACL 2021

3D Dense Geometry-Guided Facial Expression Synthesis by Adversarial Learning WACV 2021

Robust Testing and Estimation under Manipulation Attacks ICML 2021

Analysis of Nuanced Stances and Sentiment Towards Entities of US Politicians through the Lens of Moral Foundation Theory NAACL 2021

Towards Robust Classification Model by Counterfactual and Invariant Data Generation CVPR 2021

Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates EMNLP 2021

Knowledge Graph Representation Learning using Ordinary Differential Equations EMNLP 2021

Bayesian Topic Regression for Causal Inference EMNLP 2021

NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media EMNLP 2021