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/smshaqib/Research

공식 코드

Vehicle Speed Detection System Utilizing YOLOv8: Enhancing Road Safety and Traffic Management for Metropolitan Areas

https://github.com/snakeztc/NeuralDialog-DM

공식 코드

Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning

https://github.com/snap-stanford/graphgym

공식 코드

Design Space for Graph Neural Networks

https://github.com/snousias/Revisiting-Content-Based-Audio-Classification-for-Asthma-Medication-Adherence

공식 코드

AI-enabled Sound Pattern Recognition on Asthma Medication Adherence: Evaluation with the RDA Benchmark Suite

https://github.com/snt-arg/lidar_situational_graphs

공식 코드

S-Graphs 2.0 -- A Hierarchical-Semantic Optimization and Loop Closure for SLAM

https://github.com/so-cool/you-only-write-thrice

공식 코드

You Only Write Thrice: Creating Documents, Computational Notebooks and Presentations From a Single Source

https://github.com/sobhan-moosavi/Trajectory_Segmentation

공식 코드

Discovery of Driving Patterns by Trajectory Segmentation

https://github.com/softsys4ai/unicorn

공식 코드

Unicorn: Reasoning about Configurable System Performance through the lens of Causality

https://github.com/solislemuslab/tropical-stethoscope

공식 코드

Classification of animal sounds in a hyperdiverse rainforest using Convolutional Neural Networks

https://github.com/soon-jynn-chu/t1d_bg_prediction

공식 코드

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning

https://github.com/soumyabrata/ehr-features

공식 코드

A predictive analytics approach for stroke prediction using machine learning and neural networks

https://github.com/spaceml-org/RaVAEn

공식 코드

Unsupervised Change Detection of Extreme Events Using ML On-Board

https://github.com/sparcus-technologies/firesru

공식 코드

Advancing Eurasia Fire Understanding Through Machine Learning Techniques

https://github.com/spartalab/book-ahead

공식 코드

Book-Ahead & Supply Management for Ridesourcing Platforms

https://github.com/splinterli/sattca

공식 코드

Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation

https://github.com/sse-lnu/anti-pattern-models

공식 코드

Technical Reports Compilation: Detecting the Fire Drill Anti-pattern Using Source Code and Issue-Tracking Data

https://github.com/stanfordasl/data-lifecycle-management

공식 코드

Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications

https://github.com/starkfather/STSAN

공식 코드

Interpretable Crowd Flow Prediction with Spatial-Temporal Self-Attention

https://github.com/start2020/Multi-View_TRGRU

공식 코드

Completion and Augmentation based Spatiotemporal Deep Learning Approach for Short-Term Metro Origin-Destination Matrix Prediction under Limited Observable Data

https://github.com/stc-lab/on-traffic

공식 코드

ON-Traffic: An Operator Learning Framework for Online Traffic Flow Estimation and Uncertainty Quantification from Lagrangian Sensors

https://github.com/steamerlee/masa

공식 코드

Developing A Multi-Agent and Self-Adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management

https://github.com/stelios30/agent-specific-effects

공식 코드

Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs

https://github.com/stmilab/cufflessbp_dann

공식 코드

Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks

https://github.com/sttdanonymous/sttd

공식 코드

Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction

https://github.com/styluck/adstrategy

공식 코드

A Profit-Maximizing Strategy for Advertising on the e-Commerce Platforms

https://github.com/sufianj/fast-camembert

공식 코드

Fine-tuning BERT-based models for Plant Health Bulletin Classification

https://github.com/supersoob/carm

공식 코드

Carousel Memory: Rethinking the Design of Episodic Memory for Continual Learning

https://github.com/sussexucu/uss

공식 코드

The distribution of loss to future USS pensions due to the UUK cuts of April 2022

https://github.com/swagshaw/rainbow-keywords

공식 코드

Rainbow Keywords: Efficient Incremental Learning for Online Spoken Keyword Spotting

https://github.com/swatipadhee/Crisis-Aid-Terms

공식 코드

Clustering of Social Media Messages for Humanitarian Aid Response during Crisis

https://github.com/sydney-machine-learning/topicmodelling-covid19-india

공식 코드

Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron

https://github.com/syed-luqman-shah-19/gpr-ieeewcnc2025

공식 코드

Interference Prediction Using Gaussian Process Regression and Management Framework for Critical Services in Local 6G Networks

https://github.com/symbioticlab/venn

공식 코드

Venn: Resource Management for Collaborative Learning Jobs

https://github.com/symposiumorganization/dynaformer

공식 코드

Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction

https://github.com/szwszwszw123/windformer

공식 코드

Windformer:Bi-Directional Long-Distance Spatio-Temporal Network For Wind Speed Prediction

https://github.com/talhabozkus/digital-cousins-for-ensemble-q-learning

공식 코드

Leveraging Digital Cousins for Ensemble Q-Learning in Large-Scale Wireless Networks

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