Papers with Code 아카이브
Management
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/jonpappalord/crowd_flow_prediction
공식 코드Enhancing crowd flow prediction in various spatial and temporal granularities
https://github.com/jonvw28/SLICUAV
공식 코드https://github.com/josh-rodriguez-csu/chunkingforllms
공식 코드Text Chunking for Document Classification for Urban System Management using Large Language Models
https://github.com/jpain3/taming-the-bull
공식 코드https://github.com/jrterven/eurosat_classification
공식 코드https://github.com/juanrocha/ESDL
공식 코드https://github.com/juhyeonkim95/TaxiSimulatorOnGraph
공식 코드https://github.com/julencestero/storehouse
공식 코드Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management
https://github.com/juliushenke/autopentest
공식 코드AutoPentest: Enhancing Vulnerability Management With Autonomous LLM Agents
https://github.com/jvictormata/adasub
공식 코드AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces
https://github.com/k00ni/owl-reasoner-list
공식 코드https://github.com/kaarmu/safe_intersections
공식 코드https://github.com/kaarthiksundar/bnn-opf
공식 코드https://github.com/kabolat/entity-clustering
공식 코드https://github.com/kaggarwal/ClinicalNotesICU
공식 코드Using Clinical Notes with Time Series Data for ICU Management
https://github.com/kaist-dmlab/adapromptcl
공식 코드One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
https://github.com/kaiwenw/JoinGym
공식 코드JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning
https://github.com/kaiyin97/disaster_ir
공식 코드DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster Management
https://github.com/kangdj6358/emsrl
공식 코드https://github.com/karthikshivasankar/text_classification
공식 코드TD-Suite: All Batteries Included Framework for Technical Debt Classification
https://github.com/karthiksoman/zebra-Llama
공식 코드Zebra-Llama: A Context-Aware Large Language Model for Democratizing Rare Disease Knowledge
https://github.com/katbailey/few-shot-text-classification
공식 코드Few-Shot Text Classification with Pre-Trained Word Embeddings and a Human in the Loop
https://github.com/kclip/bayesian-snn
공식 코드https://github.com/kclip/noise-aware-loccnet
공식 코드Learning Quantum Entanglement Distillation with Noisy Classical Communications
https://github.com/kejintao/ST-ED-RMGC/tree/main/od_prediction
공식 코드https://github.com/kelvinfkr/perturbation_ai_weather
공식 코드https://github.com/kevaldoshi17/IEEE-Big-Data-2020
공식 코드https://github.com/kevin666aa/stateflow
공식 코드StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows
https://github.com/khairulislam/predict-code-changes
공식 코드Early Prediction for Merged vs Abandoned Code Changes in Modern Code Reviews
https://github.com/khanhtungtran/mgl4mep
공식 코드Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data
https://github.com/kiribu10/openllminbpm-benchmark
공식 코드Towards a Benchmark for Large Language Models for Business Process Management Tasks
https://github.com/kjain1810/bayesian-optimization-for-function-compositions-with-applications-to-dynamic-pricing
공식 코드Bayesian Optimization for Function Compositions with Applications to Dynamic Pricing
https://github.com/kongdai123/consistency2
공식 코드Consistency^2: Consistent and Fast 3D Painting with Latent Consistency Models
https://github.com/konstantinklemmer/geopointgan
공식 코드GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy
https://github.com/krishuthapa/swe-attention
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.