Papers with Code 아카이브

Causal Inference

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 3
평가표: 3
보존된 평가 기록: 20

Causal inference is the task of drawing a conclusion about a causal connection based on the conditions of the occurrence of an effect.

<span style="color:grey; opacity: 0.6">( Image credit: Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/xmubq/dtr-text

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Causal Inference for Human-Language Model Collaboration

https://github.com/xnie/rlearner

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Quasi-Oracle Estimation of Heterogeneous Treatment Effects

https://github.com/xuesong39/dac

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Doubly Abductive Counterfactual Inference for Text-based Image Editing

https://github.com/xwshen51/drig

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Causality-oriented robustness: exploiting general noise interventions

https://github.com/xwshen51/ges-ncd

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Reframed GES with a Neural Conditional Dependence Measure

https://github.com/xx987/xfbci

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Explainable Federated Bayesian Causal Inference and Its Application in Advanced Manufacturing

https://github.com/xxxiaol/GCI

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Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis

https://github.com/yangliu9208/cmcir

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Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering

https://github.com/yannadani/vcn_pytorch

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Variational Causal Networks: Approximate Bayesian Inference over Causal Structures

https://github.com/yaochenzhu/psf-vae

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Path-Specific Counterfactual Fairness for Recommender Systems

https://github.com/ychika/dpsw

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Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation

https://github.com/yetiminer/dogbarometer

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Causal Campbell-Goodhart's law and Reinforcement Learning

https://github.com/yi249/ssl-causal

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Semi-Supervised Learning for Deep Causal Generative Models

https://github.com/yingjieum/replication-feng_2021

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Causal Inference in Possibly Nonlinear Factor Models

https://github.com/yiyhuang3/cate_estimator_selection

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Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators

https://github.com/yjchoe/comparingabstainingclassifiers

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Counterfactually Comparing Abstaining Classifiers

https://github.com/youlei202/research-weighted-sum-rate

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Weighted Sum-Rate Maximization With Causal Inference for Latent Interference Estimation

https://github.com/yuleiniu/cfvqa

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Counterfactual VQA: A Cause-Effect Look at Language Bias

https://github.com/yulun-rayn/graphvci

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Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information

https://github.com/yulun-rayn/variational-causal-inference

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Variational Causal Inference

https://github.com/yuqianruc/drss-code

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Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap

https://github.com/yuqin-yang/propagation-scm

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Causal Discovery in Linear Structural Causal Models with Deterministic Relations

https://github.com/yutong-zhou-cv/biox

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From Images to Insights: Explainable Biodiversity Monitoring with Plain Language Habitat Explanations

https://github.com/yuweicao-uic/xltime

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XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction

https://github.com/zachwooddoughty/emnlp2018-causal

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Challenges of Using Text Classifiers for Causal Inference

https://github.com/zahradbozorgi/whentotreat

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Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning

https://github.com/zcccccz/causalwalk

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Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment

https://github.com/zecevic-matej/ispn

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Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models

https://github.com/zengshx777/Double-Rouble-Representation-Learning

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Double Robust Representation Learning for Counterfactual Prediction

https://github.com/zenzendatabase/personpersuasion

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Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge

https://github.com/zexusun/oilca-neurips23

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Offline Imitation Learning with Variational Counterfactual Reasoning

https://github.com/zhang-xiaokun/dimo

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Disentangling ID and Modality Effects for Session-based Recommendation

https://github.com/zhangmengling/llmscan

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LLMScan: Causal Scan for LLM Misbehavior Detection

https://github.com/zhangyk8/npdrderiv

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Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments

https://github.com/zhijing-jin/icm4nlp

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Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP

https://github.com/zhiwenshao/ac2d

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Facial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding Sample

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