Papers with Code 아카이브

Decision Making

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평가표

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보존된 평가 기록

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코드

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

https://github.com/sherryxtchen/sico

공식 코드

SiCo: An Interactive Size-Controllable Virtual Try-On Approach for Informed Decision-Making

https://github.com/shi-ang/makesurvivalcalibratedagain

공식 코드

Toward Conditional Distribution Calibration in Survival Prediction

https://github.com/shijiawenwen/judgedeceiver

공식 코드

Optimization-based Prompt Injection Attack to LLM-as-a-Judge

https://github.com/shininglab/text-editing-as-imitation-game

공식 코드

Text Editing as Imitation Game

https://github.com/shirara1016/statistical_test_for_vit_attention

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Statistical Test for Attention Map in Vision Transformer

https://github.com/shiwj16/SSINet

공식 코드

Self-Supervised Discovering of Interpretable Features for Reinforcement Learning

https://github.com/shmsw25/DecompRC

공식 코드

Multi-hop Reading Comprehension through Question Decomposition and Rescoring

https://github.com/shoron-dutta/MALOnt-1

공식 코드

MALOnt: An Ontology for Malware Threat Intelligence

https://github.com/shripaddeshmukh/xrl_with_trajectories

공식 코드

Explaining RL Decisions with Trajectories

https://github.com/shriyabhatija/mo-cbo

공식 코드

Multi-Objective Causal Bayesian Optimization

https://github.com/shshnkreddy/deceptiverl

공식 코드

Preserving the Privacy of Reward Functions in MDPs through Deception

https://github.com/shshnkreddy/ncm-hdm

공식 코드

Towards Neural Network based Cognitive Models of Dynamic Decision-Making by Humans

https://github.com/shuangjiexu/MHP-VOS

공식 코드

MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation

https://github.com/shuishida/calvin

공식 코드

Towards real-world navigation with deep differentiable planners

https://github.com/shuishida/langprop

공식 코드

LangProp: A code optimization framework using Large Language Models applied to driving

https://github.com/shukla-yash/lsts-icaps-24

공식 코드

Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents

https://github.com/shulong98/gail-pt

공식 코드

GAIL-PT: A Generic Intelligent Penetration Testing Framework with Generative Adversarial Imitation Learning

https://github.com/siavash91/TC-DQN

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Adaptive Traffic Control with Deep Reinforcement Learning:Towards State-of-the-art and Beyond

https://github.com/sibyl-dev/vbridge

공식 코드

VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models

https://github.com/siddhanthaldar/FISH

공식 코드

Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

https://github.com/siddk/lila

공식 코드

LILA: Language-Informed Latent Actions

https://github.com/siddk/voltron-evaluation

공식 코드

Language-Driven Representation Learning for Robotics

https://github.com/siddk/voltron-robotics

공식 코드

Language-Driven Representation Learning for Robotics

https://github.com/silihuang-ai/idt

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In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought

https://github.com/simeonallmendinger/syntheticimagegeneration

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Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation

https://github.com/simon-tan/laplace

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LaPLACE: Probabilistic Local Model-Agnostic Causal Explanations

https://github.com/simonmalberg/cognitive-biases-in-llms

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A Comprehensive Evaluation of Cognitive Biases in LLMs

https://github.com/simonvalentin/boed-tutorial

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Designing Optimal Behavioral Experiments Using Machine Learning

https://github.com/simpleParadox/CMPUT-659-Project

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Analysis of Evolutionary Program Synthesis for Card Games

https://github.com/sinatayebati/vlm-uncertainty

공식 코드

Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models

https://github.com/singhayush27/mmade

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Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development

https://github.com/sisl/AutomotivePOMDPs.jl

공식 코드

Decomposition Methods with Deep Corrections for Reinforcement Learning

https://github.com/sisl/AutomotiveSafeRL

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Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments

https://github.com/sisl/AutonomousMerging.jl

공식 코드

Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic

https://github.com/sisl/DreamrHHP

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Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning

https://github.com/sisl/POMDPStressTesting.jl

공식 코드

Adaptive Stress Testing of Trajectory Predictions in Flight Management Systems

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