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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/MrJUNHUIZHANG/CBF_NN_inference

공식 코드

Safety-Critical Control with Offline-Online Neural Network Inference

https://github.com/NISL-MSU/MultiSetSR

공식 코드

Univariate Skeleton Prediction in Multivariate Systems Using Transformers

https://github.com/NISL-MSU/PredictionIntervals

공식 코드

Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation

https://github.com/NIVA-Knowledge-Graph/TERA

공식 코드

Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings

https://github.com/NKI-AI/kandinsky-calibration

공식 코드

Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms

https://github.com/NUDTPingLuo/Fed_PPI

공식 코드

Federated Prediction-Powered Inference from Decentralized Data

https://github.com/NUSTM/PAEDGL

공식 코드

From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification

https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/FastPitch

공식 코드

FastPitch: Parallel Text-to-speech with Pitch Prediction

https://github.com/NVIDIA/NeMo

공식 코드

Word Level Timestamp Generation for Automatic Speech Recognition and Translation

https://github.com/NVIDIA/modulus/tree/main/examples/additive_manufacturing/sintering_physics

공식 코드

Virtual Foundry Graphnet for Metal Sintering Deformation Prediction

https://github.com/NVIDIA/semantic-segmentation

공식 코드

SDCNet: Video Prediction Using Spatially-Displaced Convolution

https://github.com/NVlabs/NAT-saliency

공식 코드

Noise-Aware Video Saliency Prediction

https://github.com/NYUMedML/DeepEHR

공식 코드

Deep EHR: Chronic Disease Prediction Using Medical Notes

https://github.com/NYXFLOWER/TIP

공식 코드

Tri-graph Information Propagation for Polypharmacy Side Effect Prediction

https://github.com/NagabhushanSN95/PVQA

공식 코드

Understanding the Perceived Quality of Video Predictions

https://github.com/Nanfeizhilu/DTI_WkNNIR

공식 코드

Drug-Target Interaction Prediction via an Ensemble of Weighted Nearest Neighbors with Interaction Recovery

https://github.com/Nanfeizhilu/FGS_DTI_Predition

공식 코드

Fine-Grained Selective Similarity Integration for Drug-Target Interaction Prediction

https://github.com/NellyElsayed/rgcLSTM

공식 코드

Reduced-Gate Convolutional LSTM Using Predictive Coding for Spatiotemporal Prediction

https://github.com/Networks-Learning/controlling-counterfactual-harm-prediction-sets

공식 코드

Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets

https://github.com/Networks-Learning/improve-expert-predictions-conformal-prediction

공식 코드

Improving Expert Predictions with Conformal Prediction

https://github.com/Networks-Learning/towards-human-ai-complementarity-predictions-sets

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Towards Human-AI Complementarity with Prediction Sets

https://github.com/NewGround-LLC/psistats

공식 코드

Applying Deep Machine Learning for psycho-demographic profiling of Internet users using O.C.E.A.N. model of personality

https://github.com/NiklasFreymuth/AMBER

공식 코드

AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction

https://github.com/NishanthVAnand/prediction_and_control_in_continual_reinforcement_learning

공식 코드

Prediction and Control in Continual Reinforcement Learning

https://github.com/NomiMalik0207/PedSynth-and-PedGNN-for-Pedestrian-Intention-Prediction

공식 코드

Synthetic Data Generation Framework, Dataset, and Efficient Deep Model for Pedestrian Intention Prediction

https://github.com/OSU-NLP-Group/KG-R3

공식 코드

A Retrieve-and-Read Framework for Knowledge Graph Link Prediction

https://github.com/Oghma/sns-lstm

공식 코드

Social and Scene-Aware Trajectory Prediction in Crowded Spaces

https://github.com/OliverHennhoefer/cross-conformal-anomaly-detection

공식 코드

Uncertainty Quantification in Anomaly Detection with Cross-Conformal $p$-Values

https://github.com/Oneplus/twpipe

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Distilling Knowledge for Search-based Structured Prediction

https://github.com/OnurVural/excon

공식 코드

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction

https://github.com/OpenBioLink/SAFRAN

공식 코드

Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs

https://github.com/OpenFogStack/temporal-location-prediction

공식 코드

Predicting Temporal Aspects of Movement for Predictive Replication in Fog Environments

https://github.com/POSTECH-CVLab/InstaOrder

공식 코드

Instance-wise Occlusion and Depth Orders in Natural Scenes

https://github.com/PanZiqiAI/disentangled-information-bottleneck

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Disentangled Information Bottleneck

https://github.com/PengleiGao/ETN-ODE

공식 코드

Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction

https://github.com/Peter7Yao/OPTransE

공식 코드

Representation Learning with Ordered Relation Paths for Knowledge Graph Completion

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