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/KID-22/CTAR

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A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems

https://github.com/KaihuaTang/Long-Tailed-Recognition.pytorch

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Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect

https://github.com/KaihuaTang/Scene-Graph-Benchmark.pytorch

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Unbiased Scene Graph Generation from Biased Training

https://github.com/KimuraTian/sigir-eCom20-counterfactual-ltr-using-hte

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Counterfactual Learning to Rank using Heterogeneous Treatment Effect Estimation

https://github.com/KunkunYang/GenderBiasHSR

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A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations

https://github.com/KunkunYang/denoiseHSR-AAAI

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Causally Denoise Word Embeddings Using Half-Sibling Regression

https://github.com/KurtButler/tangentspaces

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Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems

https://github.com/LOUEY233/Causal-representation-in-vision

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A Survey on Causal Representation Learning and Future Work for Medical Image Analysis

https://github.com/Larsvanderlaan/CDML

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Automatic doubly robust inference for linear functionals via calibrated debiased machine learning

https://github.com/Lei-Ding07/Word_Debias_DeSIP

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Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving

https://github.com/MGIMM/Wasserstein-Random-Forests

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Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects

https://github.com/MLforHealth/confounder-acquisition

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Confounding Feature Acquisition for Causal Effect Estimation

https://github.com/ManqingLiu/DAGawareTransformer

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DAG-aware Transformer for Causal Effect Estimation

https://github.com/Marksmug/CEVAE-Transportability

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Transfer Learning in Latent Contextual Bandits with Covariate Shift Through Causal Transportability

https://github.com/MathieuChevalley/Intersort

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Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm

https://github.com/Microsoft/EconML

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Orthogonal Random Forest for Causal Inference

https://github.com/Mnster00/CasualSR

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CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual Inference

https://github.com/Nilavro/BSSPy

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Estimating Buildings' Parameters over Time Including Prior Knowledge

https://github.com/OpenCausaLab/CaLM

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Causal Evaluation of Language Models

https://github.com/PKU-AI-Edge/I2C

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Learning Individually Inferred Communication for Multi-Agent Cooperation

https://github.com/PluviophileYU/CVC-QA

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Counterfactual Variable Control for Robust and Interpretable Question Answering

https://github.com/Qrange-group/CEM

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Causal Inference for Chatting Handoff

https://github.com/RRRussell/CauGNN/tree/main/MTS_TEGNN-master

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Multivariate Time Series Forecasting with Transfer Entropy Graph

https://github.com/Rorn001/causal-learning

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Causal Feature Learning in the Social Sciences

https://github.com/RuihongQiu/cornac/tree/master/cornac/models/causalrec

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CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation

https://github.com/SUTDCV/SUTD-TrafficQA

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SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events

https://github.com/SciEcon/IncidentsAnalysis2023

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Trust Dynamics and Market Behavior in Cryptocurrency: A Comparative Study of Centralized and Decentralized Exchanges

https://github.com/SciEcon/SoK_Blockchain_Decentralization

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SoK: Blockchain Decentralization

https://github.com/StatisticalRelationalAI/LiftedCausalInference

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Lifted Causal Inference in Relational Domains

https://github.com/StatsDLMathsRecomSys/Adversarial-Counterfactual-Learning-and-Evaluation-for-Recommender-System

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Adversarial Counterfactual Learning and Evaluation for Recommender System

https://github.com/TZWwww/PROPHET

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PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood Estimation

https://github.com/The-Martyr/OccludeNet-Dataset

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OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under Occlusions

https://github.com/TianyiPeng/Causal-Inference-Code

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Learning Treatment Effects in Panels with General Intervention Patterns

https://github.com/WannabeSmith/drconfseq

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Time-uniform central limit theory and asymptotic confidence sequences

https://github.com/WeilinChen507/LASER

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Long-term Causal Effects Estimation via Latent Surrogates Representation Learning

https://github.com/WenqinDu/HNCI

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HNCI: High-Dimensional Network Causal Inference

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