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Prediction

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코드

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

https://github.com/laura-wang/video-pace

공식 코드

Self-supervised Video Representation Learning by Pace Prediction

https://github.com/laurimi/multiagent-prediction-reward

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Multi-agent active perception with prediction rewards

https://github.com/lauromoraes/capsnet-promoter

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CapsProm: A Capsule Network For Promoter Prediction

https://github.com/lauyikfung/t-rex

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T-Rex: Text-assisted Retrosynthesis Prediction

https://github.com/layer6ai-labs/conformal-prediction-fairness

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Conformal Prediction Sets Can Cause Disparate Impact

https://github.com/layer6ai-labs/hitl-conformal-prediction

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Conformal Prediction Sets Improve Human Decision Making

https://github.com/lbq8942/tgacn

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Link-aware link prediction over temporal graph by pattern recognition

https://github.com/lclarte/conformalamp.jl

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Building Conformal Prediction Intervals with Approximate Message Passing

https://github.com/lcs2-iiitd/crowdshield

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Crowd Intelligence for Early Misinformation Prediction on Social Media

https://github.com/leakdetectai/automlquantildetect

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Information Leakage Detection through Approximate Bayes-optimal Prediction

https://github.com/leapxcheng/rawnp

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Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach

https://github.com/lee-cbg/activetcr

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Active Learning Framework for Cost-Effective TCR-Epitope Binding Affinity Prediction

https://github.com/lee-group-cmu/lf2i

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Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems

https://github.com/leej35/neural-online-adaptive-learning

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Neural Clinical Event Sequence Prediction through Personalized Online Adaptive Learning

https://github.com/leexxe/subcutaneous-immunotherapy-dataset

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Sequential Model for Predicting Patient Adherence in Subcutaneous Immunotherapy for Allergic Rhinitis

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

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T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction

https://github.com/lemei/epo-ecpe

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Emotion Prediction Oriented method with Multiple Supervisions for Emotion-Cause Pair Extraction

https://github.com/lenbrocki/feature-perturbation-augmentation

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Feature Perturbation Augmentation for Reliable Evaluation of Importance Estimators in Neural Networks

https://github.com/leo-yangli/abcd_time_series

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Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence

https://github.com/leor-c/rem

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Improving Token-Based World Models with Parallel Observation Prediction

https://github.com/lguerdan/cp_ome

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Counterfactual Prediction Under Outcome Measurement Error

https://github.com/lhmtriet/autovul

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Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We?

https://github.com/lhmtriet/latent-vulnerability

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Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study

https://github.com/lhmtriet/llm4vul

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Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT

https://github.com/lhrlab/hahe

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HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level

https://github.com/li-lab-mcgill/bitimelygpt

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Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning

https://github.com/li-lab-mcgill/mixehrS

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Supervised multi-specialist topic model with applications on large-scale electronic health record data

https://github.com/libcity/bigscity-libcity

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LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction

https://github.com/libcity/bigscity-libcity-datasets

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LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction

https://github.com/libo-huang/PrePrompt

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PrePrompt: Predictive prompting for class incremental learning

https://github.com/lightdxy/bootmae

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Bootstrapped Masked Autoencoders for Vision BERT Pretraining

https://github.com/lightonai/rita

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RITA: a Study on Scaling Up Generative Protein Sequence Models

https://github.com/lihan97/kpgt

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KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction

https://github.com/lijunxian111/UIGNN

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Uncertainty-aware Traffic Prediction under Missing Data

https://github.com/likaiucas/obm

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Extracting polygonal footprints in off-nadir images with Segment Anything Model

https://github.com/liluxuan1997/DPP

공식 코드

Deep Point-wise Prediction for Action Temporal Proposal

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