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/andrewherren/semi-supervised-propensity

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Semi-supervised learning and the question of true versus estimated propensity scores

https://github.com/andrewyyp/kernel-doubly-robust

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Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference

https://github.com/anguyen8/im

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Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models?

https://github.com/anishazaveri/austen_plots

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Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding

https://github.com/annennenne/sldisco

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Causal discovery for observational sciences using supervised machine learning

https://github.com/anonymousaa1/llm_scan

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LLMScan: Causal Scan for LLM Misbehavior Detection

https://github.com/anpwu/encounter

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Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression

https://github.com/antti-pollanen/ci_noisy_treatment

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Identifiable causal inference with noisy treatment and no side information

https://github.com/aoudsung/tri-crlad

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Semi-supervised Anomaly Detection via Adaptive Reinforcement Learning-Enabled Method with Causal Inference for Sensor Signals

https://github.com/apaleyes/causality-fbp

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Causal fault localisation in dataflow systems

https://github.com/armanbehnam/cxgnn

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Graph Neural Network Causal Explanation via Neural Causal Models

https://github.com/arturofredes/llm-4-cfs-explanation

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Using LLMs for Explaining Sets of Counterfactual Examples to Final Users

https://github.com/asanctvs/structure-identification

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Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach

https://github.com/astrzalk/wvm_reproducibility

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Variance Minimization in the Wasserstein Space for Invariant Causal Prediction

https://github.com/azusakou/miranda

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MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication Recommendation

https://github.com/babylonhealth/counterfactual-diagnosis

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Counterfactual diagnosis

https://github.com/baumanndominik/identifying_causal_structure

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Identifying Causal Structure in Dynamical Systems

https://github.com/bel2scm/bel2scm

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Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral Pathogenesis

https://github.com/benevolentai/comp

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Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness

https://github.com/benywon/ReCO

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ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion

https://github.com/bermanlabemory/Temporal-Autoencoders-For-Causal-Inference-TACI

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Inferring the time-varying coupling of dynamical systems with temporal convolutional autoencoders

https://github.com/bgmlover/idcf

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Debiasing Recommendation by Learning Identifiable Latent Confounders

https://github.com/biomedia-mira/counterfactual-contrastive

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Counterfactual contrastive learning: robust representations via causal image synthesis

https://github.com/biomedia-mira/deepscm

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Deep Structural Causal Models for Tractable Counterfactual Inference

https://github.com/biyonka/mixture_adaptive_design

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An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

https://github.com/bjcaie/ergodicity

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History-dependence shapes causal inference of brain-behaviour relationships

https://github.com/blei-lab/causal-text-embeddings

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Adapting Text Embeddings for Causal Inference

https://github.com/bohanwu424/npp

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Adaptive Nonparametric Perturbations of Parametric Bayesian Models

https://github.com/briziorusso/argcausaldisco

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Argumentative Causal Discovery

https://github.com/bywords/NTPairs

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How-to Present News on Social Media: A Causal Analysis of Editing News Headlines for Boosting User Engagement

https://github.com/callanwu/diner

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DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference

https://github.com/cannylab/casual_overhypotheses

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Towards Understanding How Machines Can Learn Causal Overhypotheses

https://github.com/carloscinelli/dml.sensemakr

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Long Story Short: Omitted Variable Bias in Causal Machine Learning

https://github.com/caus-am/aci

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Ancestral Causal Inference

https://github.com/caus-am/dom_adapt

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Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions

https://github.com/causal-machine-learning-lab/mliv

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Instrumental Variables in Causal Inference and Machine Learning: A Survey

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