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/swager/grf

공식 코드

Generalized Random Forests

https://github.com/sweichwald/MERLiN

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MERLiN: Mixture Effect Recovery in Linear Networks

https://github.com/sweichwald/coroICA-python

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Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise

https://github.com/syanga/hidmed

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Causal Inference with Hidden Mediators

https://github.com/syguo96/causal-de-finetti

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Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data

https://github.com/syrgkanislab/hidden_mediators

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Detecting clinician implicit biases in diagnoses using proximal causal inference

https://github.com/syrgkanislab/optimal_dynamic_regime

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Inference on Optimal Dynamic Policies via Softmax Approximation

https://github.com/szubing/csib

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Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization

https://github.com/tagas/bQCD

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Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery

https://github.com/tapilab/emnlp-2021-regularization

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Enhancing Model Robustness and Fairness with Causality: A Regularization Approach

https://github.com/tatsu-lab/alpaca_farm

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Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment

https://github.com/tatsu432/BDCM

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Diffusion Model in Causal Inference with Unmeasured Confounders

https://github.com/teng-sun/clue_model

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Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis

https://github.com/the-martyr/causalmm

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Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

https://github.com/theo-s/bart-hitting-time-sims

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The Computational Curse of Big Data for Bayesian Additive Regression Trees: A Hitting Time Analysis

https://github.com/tina-behzad/reconciliation-project

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Reconciling Predictive Multiplicity in Practice

https://github.com/tkrivachy/neural-network-for-nonlocality-in-networks

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A neural network oracle for quantum nonlocality problems in networks

https://github.com/tobhatt/SeqDeconf

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Sequential Deconfounding for Causal Inference with Unobserved Confounders

https://github.com/toinesayan/counterfactual-representations-for-explanation

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Explaining Text Classifiers with Counterfactual Representations

https://github.com/tom1042roboai/aics_2022_causalcf

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Causal Counterfactuals for Improving the Robustness of Reinforcement Learning

https://github.com/tom1042roboai/causalcf

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Causal Counterfactuals for Improving the Robustness of Reinforcement Learning

https://github.com/tomlinsonk/choice-set-confounding

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Choice Set Confounding in Discrete Choice

https://github.com/tony-hong/causal-script

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Do large language models and humans have similar behaviors in causal inference with script knowledge?

https://github.com/torylin/text-transport

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Text-Transport: Toward Learning Causal Effects of Natural Language

https://github.com/tridungduong16/counterfactual_fairness_game_theoretic

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Achieving Counterfactual Fairness with Imperfect Structural Causal Model

https://github.com/tsinghua-fib-lab/Causal-Recommender-Systems

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Causal Inference in Recommender Systems: A Survey and Future Directions

https://github.com/tsinghua-fib-lab/DICE

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Disentangling User Interest and Conformity for Recommendation with Causal Embedding

https://github.com/turuibo/cautabbench

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Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework

https://github.com/tymadara/ils-csl

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Causal Structure Learning Supervised by Large Language Model

https://github.com/udellgroup/causal_mf_code

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Causal Inference with Noisy and Missing Covariates via Matrix Factorization

https://github.com/uio-bmi/dagsim

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DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulation

https://github.com/uoe-agents/epymarl

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Deep Reinforcement Learning for Multi-Agent Interaction

https://github.com/uoe-agents/lb-foraging

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Deep Reinforcement Learning for Multi-Agent Interaction

https://github.com/uoe-agents/robotic-warehouse

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Deep Reinforcement Learning for Multi-Agent Interaction

https://github.com/usaito/counterfactual-cv

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Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models

https://github.com/usaito/unbiased-implicit-rec

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

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