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Prediction

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보존된 평가 기록

6

코드

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

https://github.com/ZhiGroup/Med-BERT

공식 코드

Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction

https://github.com/ZhiliangWu/DKAFT

공식 코드

Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models

https://github.com/ZhiliangWu/mDKL

공식 코드

Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning

https://github.com/ZhiwenShao/MCNet-Extension

공식 코드

Deep Multi-Center Learning for Face Alignment

https://github.com/ZhixiangSu/PoMP

공식 코드

Enabling Patient-side Disease Prediction via the Integration of Patient Narratives

https://github.com/Zhiyu014/GNN-UDS

공식 코드

Graph neural network-based surrogate modelling for real-time hydraulic prediction of urban drainage networks

https://github.com/ZihanChen1995/ChatGPT-GNN-StockPredict

공식 코드

ChatGPT Informed Graph Neural Network for Stock Movement Prediction

https://github.com/ZikangZhou/QCNet

공식 코드

QCNeXt: A Next-Generation Framework For Joint Multi-Agent Trajectory Prediction

https://github.com/ZongJ1111/Academic-Performance-Prediction

공식 코드

Tri-Branch Convolutional Neural Networks for Top-$k$ Focused Academic Performance Prediction

https://github.com/a-jahani/semiDepth

공식 코드

Semi-Supervised Monocular Depth Estimation with Left-Right Consistency Using Deep Neural Network

https://github.com/a-lucic/cf-gnnexplainer

공식 코드

CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks

https://github.com/a-pru/emp

공식 코드

Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference Speed

https://github.com/a1773620/moonboard-grade-prediction

공식 코드

Board-to-Board: Evaluating Moonboard Grade Prediction Generalization

https://github.com/a4bio/rfold

공식 코드

Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective

https://github.com/aalto-mobile-robotics-group/ptinet

공식 코드

Context-aware Multi-task Learning for Pedestrian Intent and Trajectory Prediction

https://github.com/aaltoml/suq

공식 코드

Streamlining Prediction in Bayesian Deep Learning

https://github.com/aangelopoulos/conformal-classification

공식 코드

Uncertainty Sets for Image Classifiers using Conformal Prediction

https://github.com/aangelopoulos/conformal-prediction

공식 코드

A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

https://github.com/aangelopoulos/conformal-risk

공식 코드

Conformal Risk Control

https://github.com/aangelopoulos/conformal-time-series

공식 코드

Conformal PID Control for Time Series Prediction

https://github.com/aangelopoulos/conformal_classification

공식 코드

Uncertainty Sets for Image Classifiers using Conformal Prediction

https://github.com/aangelopoulos/online-conformal-decaying

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Online conformal prediction with decaying step sizes

https://github.com/aangelopoulos/ppi_py

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Prediction-Powered Inference

https://github.com/aangelopoulos/prediction-powered-inference

공식 코드

Prediction-Powered Inference

https://github.com/aangelopoulos/private_prediction_sets

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Private Prediction Sets

https://github.com/aangelopoulos/rcps

공식 코드

Distribution-Free, Risk-Controlling Prediction Sets

https://github.com/aaronhan223/slcp

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Split Localized Conformal Prediction

https://github.com/aaronmueller/clams

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Cross-Linguistic Syntactic Evaluation of Word Prediction Models

https://github.com/aayambansal/time-series-prediction

공식 코드

Temporal Encoding Strategies for Energy Time Series Prediction

https://github.com/abdelfattah-lab/flan_nas

공식 코드

Encodings for Prediction-based Neural Architecture Search

https://github.com/abdelfattah-lab/nasflat_latency

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On Latency Predictors for Neural Architecture Search

https://github.com/abdo-eldesokey/pncnn

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Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End

https://github.com/abduallahmohamed/FollowMe

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FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings

https://github.com/abhin02/fair-selective-regression

공식 코드

Selective Regression Under Fairness Criteria

https://github.com/abhineet123/ipsc_prediction

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Towards Early Prediction of Human iPSC Reprogramming Success

https://github.com/abman23/pmnet

공식 코드

A Scalable and Generalizable Pathloss Map Prediction

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