Papers with Code 아카이브

Prediction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

2

보존된 평가 기록

6

코드

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

https://github.com/lilykoff/ml_walking_fingerprint

공식 코드

Walking fingerprinting

https://github.com/linearfold/linearalifold

공식 코드

LinearAlifold: Linear-Time Consensus Structure Prediction for RNA Alignments

https://github.com/ling-cf/ppnet

공식 코드

Pyramidal Predictive Network: A Model for Visual-frame Prediction Based on Predictive Coding Theory

https://github.com/lingdawang/convgru_enso_forecast

공식 코드

Convolutional GRU Network for Seasonal Prediction of the El Niño-Southern Oscillation

https://github.com/linghaochan/humanmac

공식 코드

HumanMAC: Masked Motion Completion for Human Motion Prediction

https://github.com/linhaowei1/tpl

공식 코드

Class Incremental Learning via Likelihood Ratio Based Task Prediction

https://github.com/linhaowei1/tplr

공식 코드

Class Incremental Learning via Likelihood Ratio Based Task Prediction

https://github.com/linshan-bin/occnerf

공식 코드

OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments

https://github.com/linwei-chen/fdconv

공식 코드

Frequency Dynamic Convolution for Dense Image Prediction

https://github.com/linwei-chen/freqfusion

공식 코드

Frequency-aware Feature Fusion for Dense Image Prediction

https://github.com/liorsidi/StockSimilarity

공식 코드

Improving S&P stock prediction with time series stock similarity

https://github.com/lipi12q/drugman

공식 코드

Drug-target interaction prediction by integrating heterogeneous information with mutual attention network

https://github.com/lipingyi/fedgh

공식 코드

FedGH: Heterogeneous Federated Learning with Generalized Global Header

https://github.com/lirongwu/mape-ppi

공식 코드

MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding

https://github.com/lirongx/SubNN

공식 코드

Achieving the time of $1$-NN, but the accuracy of $k$-NN

https://github.com/liseda-lab/seek

공식 코드

Explainable Representations for Relation Prediction in Knowledge Graphs

https://github.com/lisha-chen/Deep-structured-facial-landmark-detection

공식 코드

Deep Structured Prediction for Facial Landmark Detection

https://github.com/listar2000/prediction-powered-adaptive-shrinkage

공식 코드

Prediction-Powered Adaptive Shrinkage Estimation

https://github.com/littletigerhao/mt-gprmachine

공식 코드

Time Series Prediction by Multi-task GPR with Spatiotemporal Information Transformation

https://github.com/liuboxun/LLM4CP

공식 코드

LLM4CP: Adapting Large Language Models for Channel Prediction

https://github.com/liugangcode/data_centric_transfer

공식 코드

Data-Centric Learning from Unlabeled Graphs with Diffusion Model

https://github.com/liulab1356/CL-ImpPreNet

공식 코드

Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs

https://github.com/liule66/SE-SGformer

공식 코드

Self-Explainable Graph Transformer for Link Sign Prediction

https://github.com/liuruijin17/LSTR

공식 코드

End-to-end Lane Shape Prediction with Transformers

https://github.com/liuyvchi/correctness-aware-calibration

공식 코드

Optimizing Calibration by Gaining Aware of Prediction Correctness

https://github.com/liuzhuang13/anytime

공식 코드

Anytime Dense Prediction with Confidence Adaptivity

https://github.com/lixin4ever/HAST

공식 코드

Aspect Term Extraction with History Attention and Selective Transformation

https://github.com/liyouru0228/hgv

공식 코드

HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction

https://github.com/lizzyhku/TP

공식 코드

Efficient Traffic Prediction Through Spatio-Temporal Distillation

https://github.com/ljatynu/imchgan

공식 코드

Heterogeneous networks in drug-target interaction prediction

https://github.com/ljovo/transalnet

공식 코드

TranSalNet: Towards perceptually relevant visual saliency prediction

https://github.com/llnl/crepe

공식 코드

CREPE: Learnable Prompting With CLIP Improves Visual Relationship Prediction

https://github.com/lmb-freiburg/Multimodal-Future-Prediction

공식 코드

Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction

https://github.com/lmm101/awesome-multimodal-next-token-prediction

공식 코드

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey

https://github.com/lmzintgraf/DeepVis-PredDiff

공식 코드

Visualizing Deep Neural Network Decisions: Prediction Difference Analysis

https://github.com/lochenchou/rcdpt

공식 코드

RCDPT: Radar-Camera fusion Dense Prediction Transformer

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