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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/shubhamkumarnigam/realistic_ljp

공식 코드

Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models

https://github.com/shuhaolii/tits24lanelevel-traffic-benchmark

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Unifying Lane-Level Traffic Prediction from a Graph Structural Perspective: Benchmark and Baseline

https://github.com/shunk031/Multi-task-Conditional-Attention-Networks

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Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative

https://github.com/shuoli90/traq

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TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction

https://github.com/shurans/sscnet

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Weakly supervised learning of indoor geometry by dual warping

https://github.com/siddharthachandra/gcrf

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Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs

https://github.com/sihags/vnn_brain_age

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Explainable Brain Age Prediction using coVariance Neural Networks

https://github.com/sileod/metaeval

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Analysis and Prediction of NLP Models Via Task Embeddings

https://github.com/simon-tan/ikt

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Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations

https://github.com/simonfqy/PADME

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PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction

https://github.com/sinatayebati/vlm-uncertainty

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Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models

https://github.com/sipposip/ensemble-neural-network-weather-forecasts

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Ensemble methods for neural network-based weather forecasts

https://github.com/siralex900/featureprogramming

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Feature Programming for Multivariate Time Series Prediction

https://github.com/sisaman/NPGLM

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Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks

https://github.com/sisl/AttentionAugmentedConvLSTM

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Attention Augmented ConvLSTM for Environment Prediction

https://github.com/sisl/lopr

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LOPR: Latent Occupancy PRediction using Generative Models

https://github.com/sisl/sceneinformer

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Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments

https://github.com/sjiang87/deephyper

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Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search

https://github.com/sjtu-zhao-lab/hierarchical-gnn-for-hls

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Hierarchical Source-to-Post-Route QoR Prediction in High-Level Synthesis with GNNs

https://github.com/skygoo2000/adm

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ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under Uncertainties

https://github.com/skylerlinn/understanding-the-ranking-loss

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Understanding the Ranking Loss for Recommendation with Sparse User Feedback

https://github.com/slientge/sequential_recommendation_tensorflow

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Sequential Recommendation Model for Next Purchase Prediction

https://github.com/sluxsr/r5_graph_reasoning

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R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning

https://github.com/smart-lty/rest

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Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction

https://github.com/smart-task/smart-dataset

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SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge

https://github.com/smartyfh/CMF-CTF

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Outlier-Resilient Web Service QoS Prediction

https://github.com/smritisingh26/emotrigger

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Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion

https://github.com/smtmnfg/tsfm

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Time Series Foundational Models: Their Role in Anomaly Detection and Prediction

https://github.com/smu-tao-group/ADMET_XGBoost

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Accurate ADMET Prediction with XGBoost

https://github.com/smu-tao-group/passerrank

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PASSerRank: Prediction of Allosteric Sites with Learning to Rank

https://github.com/snap-research/nodedup

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Node Duplication Improves Cold-start Link Prediction

https://github.com/snap-research/non-contrastive-link-prediction

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Link Prediction with Non-Contrastive Learning

https://github.com/snap-stanford/conformalized-gnn

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Uncertainty Quantification over Graph with Conformalized Graph Neural Networks

https://github.com/social-media-prediction/flickr-data-prediction-2017

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Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks

https://github.com/socialfoundations/backward_baselines

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Is your model predicting the past?

https://github.com/socialfoundations/benchmark-prediction

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How Benchmark Prediction from Fewer Data Misses the Mark

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