Papers with Code 아카이브

Counterfactual Inference

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

0

보존된 평가 기록

0

코드

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

https://github.com/DM2-ND/CFLP

공식 코드

Learning from Counterfactual Links for Link Prediction

https://github.com/DUT-lujunyu/Debias

공식 코드

Take its Essence, Discard its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect

https://github.com/Mnster00/CasualSR

공식 코드

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

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

공식 코드

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

https://github.com/abraich/pycaus/tree/main/survcaus

공식 코드

SurvCaus : Representation Balancing for Survival Causal Inference

https://github.com/aegis1863/cea

공식 코드

Counterfactual experience augmented off-policy reinforcement learning

https://github.com/albicaron/counterdkl

공식 코드

Counterfactual Learning with Multioutput Deep Kernels

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

공식 코드

Counterfactual diagnosis

https://github.com/bel2scm/bel2scm

공식 코드

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

https://github.com/benevolentai/comp

공식 코드

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

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

공식 코드

Counterfactual contrastive learning: robust representations via causal image synthesis

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

공식 코드

Deep Structural Causal Models for Tractable Counterfactual Inference

https://github.com/clinicalml/structuredinference

공식 코드

Deep Kalman Filters

https://github.com/cripac-dig/balanced-multimodal-rec

공식 코드

Modality-Balanced Learning for Multimedia Recommendation

https://github.com/d909b/perfect_match

공식 코드

Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks

https://github.com/ddv-lab/counterfactual-influence-in-mdps

공식 코드

Counterfactual Influence in Markov Decision Processes

https://github.com/ictnlp/capt

공식 코드

Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues

https://github.com/idsia-papers/2021-neuripswhy-causalem

공식 코드

Causal Expectation-Maximisation

https://github.com/idsia-papers/2023-ijar-bias-hybrid

공식 코드

Learning to Bound Counterfactual Inference from Observational, Biased and Randomised Data

https://github.com/jcreinhold/counterfactualms

공식 코드

A Structural Causal Model for MR Images of Multiple Sclerosis

https://github.com/jmdvinodjmd/HyperITE

공식 코드

Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation

https://github.com/juhakarvanen/simulating_counterfactuals

공식 코드

Simulating counterfactuals

https://github.com/jvpoulos/rnns-causal

공식 코드

RNN-based counterfactual prediction, with an application to homestead policy and public schooling

https://github.com/kaushalpaneri/ode2scm

공식 코드

Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems

https://github.com/lgresele/structural-causal-marginal

공식 코드

Causal Inference Through the Structural Causal Marginal Problem

https://github.com/mims-harvard/CLEF

공식 코드

Controllable Sequence Editing for Biological and Clinical Trajectories

https://github.com/networks-learning/cfact-inference-second-opinions

공식 코드

Counterfactual Inference of Second Opinions

https://github.com/ninatian98369/hypogen

공식 코드

HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge

https://github.com/patrickrchao/diffusionbasedcausalmodels

공식 코드

Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries

https://github.com/prayingsociety/ci_bench

공식 코드

Do LLMs Have the Generalization Ability in Conducting Causal Inference?

https://github.com/rodonn/nested-factorization

공식 코드

Counterfactual Inference for Consumer Choice Across Many Product Categories

https://github.com/rongguangw/flow-scm

공식 코드

Harmonization with Flow-based Causal Inference

https://github.com/stevenn9981/ppac

공식 코드

Debiasing Recommendation with Personal Popularity

https://github.com/strong-ai-lab/counterfactual-llm-inference

공식 코드

Counterfactual Causal Inference in Natural Language with Large Language Models

https://github.com/szubing/csib

공식 코드

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

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

공식 코드

Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.