Papers with Code 아카이브

Decision Making

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

2

보존된 평가 기록

2

코드

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

https://github.com/dunnolab/vintix

공식 코드

Vintix: Action Model via In-Context Reinforcement Learning

https://github.com/dut-lujunyu/disagreement

공식 코드

Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement

https://github.com/dwpeltier3/swarm-nn-tsc

공식 코드

Swarm Characteristics Classification Using Neural Networks

https://github.com/dxlong2000/multi-expert-prompting

공식 코드

Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models

https://github.com/dxq21/dorar

공식 코드

A Comprehensive and Reliable Feature Attribution Method: Double-sided Remove and Reconstruct (DoRaR)

https://github.com/dylanwaldner/BeGoodOrSurvive

공식 코드

The Odyssey of the Fittest: Can Agents Survive and Still Be Good?

https://github.com/earth-intelligence-lab/localizedweathergnn

공식 코드

Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data

https://github.com/ece7048/Solving_the_Enigma

공식 코드

Solving the enigma: Deriving optimal explanations of deep networks

https://github.com/eddbase/db-imputation

공식 코드

In-Database Data Imputation

https://github.com/edgeslab/causal_feature_selection

공식 코드

Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure Uncertainty

https://github.com/edwardwang1/ldformer

공식 코드

Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans

https://github.com/ee1s/nirgnn

공식 코드

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation

https://github.com/ehsankazemi/adaptiveSubseq

공식 코드

Adaptive Sequence Submodularity

https://github.com/ehtesam3154/inhrecon

공식 코드

Feature Interaction Aware Automated Data Representation Transformation

https://github.com/eilamshapira/humanchoiceprediction

공식 코드

Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy Evaluation

https://github.com/elahedlv/confidence_aware_il

공식 코드

CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving

https://github.com/eleurent/highway-env

공식 코드

Robust Predictable Control

https://github.com/elicassion/StARformer

공식 코드

StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning

https://github.com/elitalobo/varframework

공식 코드

Percentile Criterion Optimization in Offline Reinforcement Learning

https://github.com/ellenxtan/rise

공식 코드

RISE: Robust Individualized Decision Learning with Sensitive Variables

https://github.com/elseml/deephierarchicalmodelcomparison

공식 코드

A Deep Learning Method for Comparing Bayesian Hierarchical Models

https://github.com/emarquer/morpho-analogy-amai

공식 코드

Solving morphological analogies: from retrieval to generation

https://github.com/embodied-agent-eval/embodied-agent-eval

공식 코드

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

https://github.com/embodied-agent-eval/embodied-agent-eval.github.io

공식 코드

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

https://github.com/embodied-agent-interface/embodied-agent-interface

공식 코드

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

https://github.com/emerge-lab/nocturne_lab

공식 코드

Human-compatible driving partners through data-regularized self-play reinforcement learning

https://github.com/emergent-behaviors-in-biology/hopfield-landscapes

공식 코드

Finding signatures of low-dimensional geometric landscapes in high-dimensional cell fate transitions

https://github.com/endiqq/Multi-Feature-Semi-Supervised-Learning-for-COVID-19-CXR-Images

공식 코드

Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-ray Images

https://github.com/endiqq/multi-scale-feature-fusion

공식 코드

Multi-Scale Feature Fusion using Parallel-Attention Block for COVID-19 Chest X-ray Diagnosis

https://github.com/englishlukeh/windpowerforecasting

공식 코드

Improving the forecast accuracy of wind power by leveraging multiple hierarchical structure

https://github.com/ennosigaeon/auto-sktime

공식 코드

auto-sktime: Automated Time Series Forecasting

https://github.com/enpasos/muzero

공식 코드

Agents Explore the Environment Beyond Good Actions to Improve Their Model for Better Decisions

https://github.com/enriquegit/multiview-conformal-prediction-paper

공식 코드

Multi-View Conformal Learning for Heterogeneous Sensor Fusion

https://github.com/eogns282/worldrep

공식 코드

Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling

https://github.com/epfl-dlab/lamen

공식 코드

Evaluating Language Model Agency through Negotiations

https://github.com/eracah/self-supervised-survey

공식 코드

Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments

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