Papers with Code 아카이브

Prediction

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코드

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

https://github.com/youngandbin/pfotgnrec

Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks

https://github.com/younggyoseo/mwm

Reinforcement Learning with Action-Free Pre-Training from Videos

https://github.com/yromano/fair_dummies

Conformalized Quantile Regression

https://github.com/yuxiangalvin/Stock-Move-Prediction-with-Adversarial-Training-Replicate

Enhancing Stock Movement Prediction with Adversarial Training

https://github.com/yyk-wew/semanticmim

Masked Feature Prediction for Self-Supervised Visual Pre-Training

https://github.com/z-bingo/kernel-prediction-networks-PyTorch

Burst Denoising with Kernel Prediction Networks

https://github.com/zcablii/sardet_100k

RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark

https://github.com/zepingyu0512/neuron-attribution

Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis

https://github.com/zfjsail/gae-pytorch

Variational Graph Auto-Encoders

https://github.com/zhanghaicang/MRF-suite

Predicting protein inter-residue contacts using composite likelihood maximization and deep learning

https://github.com/zhangzibin/char-rnn-chinese

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

https://github.com/zhanwei-z/g2ltraj

It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction

https://github.com/zhaoyuesun/phee

Automated Concatenation of Embeddings for Structured Prediction

https://github.com/zhengqili/MegaDepth

MegaDepth: Learning Single-View Depth Prediction from Internet Photos

https://github.com/zhitao-wang/PLNLP

Pairwise Learning for Neural Link Prediction

https://github.com/zhuangshaobin/Video-GPT

Video-GPT via Next Clip Diffusion

https://github.com/zjukg/morse

Inductive Relation Prediction by Subgraph Reasoning

https://github.com/zouchangjie/T-GCN--------

T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction

https://github.com/zqzqz/AdvTrajectoryPrediction

On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles

https://github.com/zykls/whynot

Performative Prediction

https://github.com/zzq96/semseggap

Deeper Depth Prediction with Fully Convolutional Residual Networks

https://gitlab.com/Erik-BM/rappt

Knowledge Graph Embedding for Ecotoxicological Effect Prediction

https://gitlab.com/birder/birder

EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction

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