Papers with Code 아카이브

Management

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

1

보존된 평가 기록

1

코드

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

https://github.com/PaddlePaddle/Research/tree/master/NLP/ACL2022-DuLeMon

공식 코드

Long Time No See! Open-Domain Conversation with Long-Term Persona Memory

https://github.com/Pele324/ChronicWoundSeg

공식 코드

Fully Automatic Wound Segmentation with Deep Convolutional Neural Networks

https://github.com/PyFE/PyfengForPapers

공식 코드

A Black-Scholes user's guide to the Bachelier model

https://github.com/QinshuangCoolWei/Risk-aware-Urban-Air-Mobility-Network-Design-with-Overflow-Redundancy

공식 코드

Risk-aware Urban Air Mobility Network Design with Overflow Redundancy

https://github.com/ROBOTICSENGINEER/Open_World_Learning_Without_Labels

공식 코드

A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels

https://github.com/RenaGao/2024InteractiveMetrics

공식 코드

Interaction Matters: An Evaluation Framework for Interactive Dialogue Assessment on English Second Language Conversations

https://github.com/RingBDStack/KPGNN

공식 코드

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs

https://github.com/RoonakR/rational_model

공식 코드

An attention model to analyse the risk of agitation and urinary tract infections in people with dementia

https://github.com/S2Looking/Dataset

공식 코드

S2Looking: A Satellite Side-Looking Dataset for Building Change Detection

https://github.com/SDM-TIB/SDM-RDFizer

공식 코드

Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources

https://github.com/SH-Tan/AV_risk_model

공식 코드

RCP-RF: A Comprehensive Road-car-pedestrian Risk Management Framework based on Driving Risk Potential Field

https://github.com/SamanKhamesian/GLIMMER

공식 코드

Type 1 Diabetes Management using GLIMMER: Glucose Level Indicator Model with Modified Error Rate

https://github.com/Sanjjushri/maternal-mortality-rate-prediction

공식 코드

Estimating Countries with Similar Maternal Mortality Rate using Cluster Analysis and Pairing Countries with Identical MMR

https://github.com/ShuaiBai623/AIC2021-T5-CLV

공식 코드

Connecting Language and Vision for Natural Language-Based Vehicle Retrieval

https://github.com/Sijie-umn/SSF-MIP

공식 코드

Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration

https://github.com/SiriusHou/DLRS_CVR_BAT-Deep-learning-enabled-brain-hemodynamic-mapping-using-resting-state-fMRI

공식 코드

Deep-learning-enabled Brain Hemodynamic Mapping Using Resting-state fMRI

https://github.com/SonginCV/GMPHD-OGM_Tracker

공식 코드

Online Multi-Object Tracking Framework with the GMPHD Filter and Occlusion Group Management

https://github.com/StanfordAI4HI/off_policy_confounding

공식 코드

Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding

https://github.com/StanleySun233/maritime-vts

공식 코드

VTS-LLM: Domain-Adaptive LLM Agent for Enhancing Awareness in Vessel Traffic Services through Natural Language

https://github.com/StatResp/KDD_IncidentPrediction

공식 코드

Learning Incident Prediction Models Over Large Geographical Areas for Emergency Response Systems

https://github.com/StatResp/smart-comp_IncidentPrediction

공식 코드

Learning Incident Prediction Models Over Large Geographical Areas for Emergency Response Systems

https://github.com/SunYM2020/UA-CMDet

공식 코드

Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning

https://github.com/SymbioticLab/Salus

공식 코드

Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications

https://github.com/TDessertaine/network-economy

공식 코드

Out-of-Equilibrium Dynamics and Excess Volatility in Firm Networks

https://github.com/Tencent/PatrickStar

공식 코드

PatrickStar: Parallel Training of Pre-trained Models via Chunk-based Memory Management

https://github.com/UB-Mannheim/FAIR-GPT

공식 코드

FAIR GPT: A virtual consultant for research data management in ChatGPT

https://github.com/UNIC-Lab/LOGNN

공식 코드

Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach

https://github.com/USC-InfoLab/busyness-graph-neural-network

공식 코드

Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting

https://github.com/USTC3DV/MERFStudio

공식 코드

City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web

https://github.com/UoS-EEC/DynamicOFA

공식 코드

Dynamic DNNs and Runtime Management for Efficient Inference on Mobile/Embedded Devices

https://github.com/UofT-EcoSystem/rlscope

공식 코드

RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads

https://github.com/VincentBouget/rain-nowcasting-with-fusion-of-rainfall-and-wind-data-article

공식 코드

Fusion of rain radar images and wind forecasts in a deep learning model applied to rain nowcasting

https://github.com/Vivswan/AnalogVNN

공식 코드

AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networks

https://github.com/WUR-AI/CropGym-ToMeasureOrNot

공식 코드

To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning

https://github.com/Wangjing1551/LogoDet-3K-Dataset

공식 코드

LogoDet-3K: A Large-Scale Image Dataset for Logo Detection

https://github.com/WenPengfei0823/PINN-Battery-Prognostics

공식 코드

Physics-Informed Neural Networks for Prognostics and Health Management of Lithium-Ion Batteries

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