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/usaito/unbiased-implicit-rec-real

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Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback

https://github.com/valence-labs/prop-score-pairing

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Propensity Score Alignment of Unpaired Multimodal Data

https://github.com/valentyn1997/csm-apid

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Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model

https://github.com/valentyn1997/infs

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Normalizing Flows for Interventional Density Estimation

https://github.com/vanderschaarlab/compcate

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Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data

https://github.com/vanderschaarlab/mlforhealthlabpub

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Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations

https://github.com/vanderschaarlab/temporai

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TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks for Medicine

https://github.com/vdblm/CausalPFN

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CausalPFN: Amortized Causal Effect Estimation via In-Context Learning

https://github.com/viktour19/culingam

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AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs

https://github.com/vothanhvinh/causalfi

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Federated Causal Inference from Observational Data

https://github.com/vothanhvinh/causalrff

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An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects

https://github.com/vothanhvinh/fedci

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Federated Causal Inference from Observational Data

https://github.com/vshirvaikar/recidivism

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Rethinking recidivism through a causal lens

https://github.com/vsingh-group/datasetpooling

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Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets

https://github.com/vsyrgkanis/adversarial_gmm

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Adversarial Generalized Method of Moments

https://github.com/vub-dl/u-cmab

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Optimising Individual-Treatment-Effect Using Bandits

https://github.com/vveitch/causal-embeddings

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Using Embeddings to Correct for Unobserved Confounding in Networks

https://github.com/vveitch/causal-network-embeddings

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Using Embeddings to Correct for Unobserved Confounding in Networks

https://github.com/vveitch/causal-text-embeddings-tf2

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Adapting Text Embeddings for Causal Inference

https://github.com/wanganran/HybridBeam

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Hybrid Neural Networks for On-device Directional Hearing

https://github.com/wangben88/causal-pc

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Compositional Probabilistic and Causal Inference using Tractable Circuit Models

https://github.com/wangf3014/Adventurer

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Causal Image Modeling for Efficient Visual Understanding

https://github.com/wangywust/robustre

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How Fragile is Relation Extraction under Entity Replacements?

https://github.com/wannabesmith/sequential.causal

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Time-uniform central limit theory and asymptotic confidence sequences

https://github.com/wasimahmadpk/gcause

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Deep Learning-based Group Causal Inference in Multivariate Time-series

https://github.com/weitianxin/MACR

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Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

https://github.com/weixinchen98/fmmrec

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Causality-Inspired Fair Representation Learning for Multimodal Recommendation

https://github.com/weiyinwei/kgcr

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Causal Inference for Knowledge Graph based Recommendation

https://github.com/wenjiewwj/ucrs

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User-controllable Recommendation Against Filter Bubbles

https://github.com/werkaaa/iscm

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Standardizing Structural Causal Models

https://github.com/wmyw96/EILLS

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Environment Invariant Linear Least Squares

https://github.com/wzsong17/coco-sbrs

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A Counterfactual Collaborative Session-based Recommender System

https://github.com/xf-zhao/lot

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Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic

https://github.com/xiaojiegu/page

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PAGE: A Position-Aware Graph-Based Model for Emotion Cause Entailment in Conversation

https://github.com/xiemk/mlc-pat

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Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training

https://github.com/xinshuli2022/sdd

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Self-Distilled Disentangled Learning for Counterfactual Prediction

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