Papers with Code 아카이브

Prediction

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

https://github.com/Sudhir22/conformalInference

Distribution-Free Predictive Inference For Regression

https://github.com/Sujit-O/pykg2vec

TuckER: Tensor Factorization for Knowledge Graph Completion

https://github.com/SylwiaNowakowska/LLM_Fine_Tuning_Molecular_Properties

ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction

https://github.com/TaatiTeam/STARS

STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences

https://github.com/Team-Transformers-NLP-Capstone-2020sp/Team-Transformers-NLP-Capstone-2020sp.github.io

WT5?! Training Text-to-Text Models to Explain their Predictions

https://github.com/TeamLab/bert-gcn-for-paper-citation

Variational Graph Auto-Encoders

https://github.com/ThisuriLekamge/Stock-Price-Prediction-on-Bitcoin-trading-data-using-LSTM-with-PyTorch

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

https://github.com/ThomasDupiereux/ADLproject

BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN

https://github.com/ThomasDupiereux/EnGAN

BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN

https://github.com/ThomasDupiereux/hpgan

HP-GAN: Probabilistic 3D human motion prediction via GAN

https://github.com/TooTouch/WhiteBox-Part2

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

https://github.com/Trent-tangtao/embedding

Learning to Make Predictions on Graphs with Autoencoders

https://github.com/TsingZ0/HtFL

FedGH: Heterogeneous Federated Learning with Generalized Global Header

https://github.com/TsingZ0/PFL-Non-IID

FedGH: Heterogeneous Federated Learning with Generalized Global Header

https://github.com/Tsinghua-MARS-Lab/M2I

M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction

https://github.com/Ugenteraan/Deep_Hierarchical_Classification

Deep Hierarchical Classification for Category Prediction in E-commerce System

https://github.com/UlionTse/mlgb

Higher-Order Factorization Machines

https://github.com/VD44/Rouge-L-Tensorflow

A Deep Reinforced Model for Abstractive Summarization

https://github.com/VEK239/StructGNN-lipophilicity

Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation

https://github.com/Vadermit/TransPOL

Bayesian Temporal Factorization for Multidimensional Time Series Prediction

https://github.com/VincLee8188/GMAN-PyTorch

GMAN: A Graph Multi-Attention Network for Traffic Prediction

https://github.com/VincLee8188/Gman_Ptorch_version

GMAN: A Graph Multi-Attention Network for Traffic Prediction

https://github.com/Visual-AI/Mr.DETR

Mr. DETR: Instructive Multi-Route Training for Detection Transformers

https://github.com/WXinlong/DenseCL

Dense Contrastive Learning for Self-Supervised Visual Pre-Training

https://github.com/Wanger-SJTU/FCN-in-the-wild

Multi-Scale Context Aggregation by Dilated Convolutions

https://github.com/WayneDW/DeepLight_Deep-Lightweight-Feature-Interactions

DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving

https://github.com/Westlake-AI/openmixup

Masked Feature Prediction for Self-Supervised Visual Pre-Training

https://github.com/Xiaohui9607/physical_interaction_video_prediction_pytorch

Unsupervised Learning for Physical Interaction through Video Prediction

https://github.com/XuHangkun/Compound-Protein-Interaction

ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction

https://github.com/Xunpeng746/ACMo

Dense Contrastive Learning for Self-Supervised Visual Pre-Training

https://github.com/YQRickWang/Motion_Prediction

On human motion prediction using recurrent neural networks

https://github.com/YQRickWang/tf

On human motion prediction using recurrent neural networks

https://github.com/YafeiWu/DIEN

Deep Interest Network for Click-Through Rate Prediction

https://github.com/YiZhou-H/Trajectory-Mamba-CVPR

Trajectory Mamba: Efficient Attention-Mamba Forecasting Model Based on Selective SSM

https://github.com/Yijunmaverick/FlowGrounded-VideoPrediction

Flow-Grounded Spatial-Temporal Video Prediction from Still Images

https://github.com/Yindong-Zhang/GraphConvolutionDrugTargetInteration

DeepDTA: Deep Drug-Target Binding Affinity Prediction

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