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Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/woqingdoua/Gumbel-recommendation-for-imbalanced-data
공식 코드A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation
https://github.com/working-yuhao/DEAL
공식 코드Inductive Link Prediction for Nodes Having Only Attribute Information
https://github.com/workrep20232/proxi
공식 코드https://github.com/wqi/WIMP
공식 코드https://github.com/wqxleo/kcf-plm
공식 코드https://github.com/wtliao/DCENet
공식 코드Exploring Dynamic Context for Multi-path Trajectory Prediction
https://github.com/wu-lab/moli
공식 코드Understanding the network formation pattern for better link prediction
https://github.com/wufangr/must
공식 코드MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
https://github.com/wufanyou/traffic4cast-TLab
공식 코드Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution
https://github.com/wuhuikai/SparseMask
공식 코드SparseMask: Differentiable Connectivity Learning for Dense Image Prediction
https://github.com/wusize/clipself
공식 코드CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction
https://github.com/wwbp/robust-poststratification
공식 코드Correcting Sociodemographic Selection Biases for Population Prediction from Social Media
https://github.com/wyripple/ada
공식 코드Adaptive Data Augmentation for Aspect Sentiment Quad Prediction
https://github.com/wyx2012/bg-dti
공식 코드Heterogeneous networks in drug-target interaction prediction
https://github.com/wyzjack/CNTP
공식 코드https://github.com/wz7in/cvpr2023-vlsat
공식 코드https://github.com/wzmsltw/painttransformer
공식 코드Paint Transformer: Feed Forward Neural Painting with Stroke Prediction
https://github.com/xbmxb/aagent
공식 코드CoCo-Agent: A Comprehensive Cognitive MLLM Agent for Smartphone GUI Automation
https://github.com/xbmxb/coco-agent
공식 코드CoCo-Agent: A Comprehensive Cognitive MLLM Agent for Smartphone GUI Automation
https://github.com/xfey/ntil
공식 코드Advancing Sequential Numerical Prediction in Autoregressive Models
https://github.com/xhu248/autosam
공식 코드How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images
https://github.com/xhuang2016/splpg
공식 코드Demystifying Distributed Training of Graph Neural Networks for Link Prediction
https://github.com/xiangyue9607/BioNEV
공식 코드Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
https://github.com/xiannanhuang/ffdci
공식 코드Feature Fitted Online Conformal Prediction for Deep Time Series Forecasting Model
https://github.com/xiannanhuang/graph_method_for_bus_trip
공식 코드Individual Bus Trip Chain Prediction and Pattern Identification Considering Similarities
https://github.com/xiannanhuang/mpstn
공식 코드https://github.com/xianyuco/ss-gnn
공식 코드SS-GNN: A Simple-Structured Graph Neural Network for Affinity Prediction
https://github.com/xiaogangpeng/socialtgcn
공식 코드The MI-Motion Dataset and Benchmark for 3D Multi-Person Motion Prediction
https://github.com/xiaolongtang23/hpnet
공식 코드HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention
https://github.com/xiaomiaozhang/Co-MTP
공식 코드https://github.com/xiaomingaaa/biokdn
공식 코드Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction
https://github.com/xiaomoguhz/declip
공식 코드DeCLIP: Decoupled Learning for Open-Vocabulary Dense Perception
https://github.com/xiaoyuxin1002/uq-plm
공식 코드Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis
https://github.com/xichennn/msma
공식 코드https://github.com/xichennn/v2i_trajectory_prediction
공식 코드Conformal Trajectory Prediction with Multi-View Data Integration in Cooperative Driving
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.