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Prediction

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

https://github.com/ukp-square/square-core

공식 코드

UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA

https://github.com/um-dsp/PRICURE

공식 코드

PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting

https://github.com/uma-pi1/kgt5-context

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Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction

https://github.com/umautobots/pedestrian_intent_action_detection

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Coupling Intent and Action for Pedestrian Crossing Behavior Prediction

https://github.com/umut-demirhan/Radar-aided-beam-prediction

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Radar Aided 6G Beam Prediction: Deep Learning Algorithms and Real-World Demonstration

https://github.com/una-dinosauria/human-motion-prediction

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On human motion prediction using recurrent neural networks

https://github.com/unimodal4reasoning/adaptivediffusion

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Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy

https://github.com/uobinxiao/SparseTableDet

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Table Detection for Visually Rich Document Images

https://github.com/urielsinger/tNodeEmbed

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Node Embedding over Temporal Graphs

https://github.com/uristern123/united-we-stand-using-epoch-wise-agreement-of-ensembles-to-combat-overfit

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United We Stand: Using Epoch-wise Agreement of Ensembles to Combat Overfit

https://github.com/usaywook/gin

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GIN: Graph-based Interaction-aware Constraint Policy Optimization for Autonomous Driving

https://github.com/usccolumbia/materialsuq

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Materials Property Prediction with Uncertainty Quantification: A Benchmark Study

https://github.com/ustc-imcl/envc

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Learning Cross-Scale Weighted Prediction for Efficient Neural Video Compression

https://github.com/ustunb/reach-ml

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Prediction without Preclusion: Recourse Verification with Reachable Sets

https://github.com/ut-kdd/gcnet-dataset

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GCNET: graph-based prediction of stock price movement using graph convolutional network

https://github.com/uta-smile/RetroXpert

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RetroXpert: Decompose Retrosynthesis Prediction like a Chemist

https://github.com/uta-smile/retrocomposer

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RetroComposer: Composing Templates for Template-Based Retrosynthesis Prediction

https://github.com/utahnlp/learning-constraints

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Learning Constraints for Structured Prediction Using Rectifier Networks

https://github.com/v0lta/Spectral-RNN

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Sequence Prediction using Spectral RNNs

https://github.com/v1xerunt/StageNet

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StageNet: Stage-Aware Neural Networks for Health Risk Prediction

https://github.com/vaibhavsaxena11/cwvae

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Clockwork Variational Autoencoders

https://github.com/valentinhofmann/geoadaptation

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Geographic Adaptation of Pretrained Language Models

https://github.com/valentinomario/hmm-stock-market-prediction

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Hidden Markov Models for Stock Market Prediction

https://github.com/valeoai/ConfidNet

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Addressing Failure Prediction by Learning Model Confidence

https://github.com/valeoai/Occfeat

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OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks

https://github.com/valuestdio/Hiformer

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Hiformer: Hybrid Frequency Feature Enhancement Inverted Transformer for Long-Term Wind Power Prediction

https://github.com/valvoda/negative-precedent-in-legal-outcome-prediction

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On the Role of Negative Precedent in Legal Outcome Prediction

https://github.com/valvoda/under_the_influence

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Towards Explainability in Legal Outcome Prediction Models

https://github.com/vandadim/adas_mri

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Comparison of single and multitask learning for predicting cognitive decline based on MRI data

https://github.com/vanderschaarlab/sscp

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Improving Adaptive Conformal Prediction Using Self-Supervised Learning

https://github.com/vanduc103/air_analysis_v1

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Real-time Air Pollution prediction model based on Spatiotemporal Big data

https://github.com/varal7/conformal-language-modeling

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Conformal Language Modeling

https://github.com/vdigpku/teocc

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TEOcc: Radar-camera Multi-modal Occupancy Prediction via Temporal Enhancement

https://github.com/vdlad/remarkable-robustness-of-llms

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The Remarkable Robustness of LLMs: Stages of Inference?

https://github.com/veali/mlt-le

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MLT-LE: predicting drug-target binding affinity with multi-task residual neural networks

https://github.com/vegesm/depthpose

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Absolute Human Pose Estimation with Depth Prediction Network

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