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Prediction

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평가표

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보존된 평가 기록

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코드

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

https://github.com/EtashGuha/R2CCP

공식 코드

Conformal Prediction via Regression-as-Classification

https://github.com/EugeneNdiaye/homotopy_conformal_prediction

공식 코드

Computing Full Conformal Prediction Set with Approximate Homotopy

https://github.com/EugeneNdiaye/rootCP

공식 코드

Root-finding Approaches for Computing Conformal Prediction Set

https://github.com/EugeneNdiaye/stable_conformal_prediction

공식 코드

Stable Conformal Prediction Sets

https://github.com/Expedit-LargeScale-Vision-Transformer/Expedit-DINO

공식 코드

Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning

https://github.com/Expedit-LargeScale-Vision-Transformer/Expedit-DPT

공식 코드

Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning

https://github.com/Expedit-LargeScale-Vision-Transformer/Expedit-Segmenter

공식 코드

Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning

https://github.com/Exploration-Lab/CJPE

공식 코드

ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation

https://github.com/Exploration-Lab/FineGrained-Emotion-Prediciton-Using-Definitions

공식 코드

Fine-Grained Emotion Prediction by Modeling Emotion Definitions

https://github.com/FMZennaro/Fair-Pooling-Causal-Models

공식 코드

Counterfactually Fair Prediction Using Multiple Causal Models

https://github.com/FloatFrank/TIPA

공식 코드

Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning

https://github.com/FongMunHong/FlowER

공식 코드

Electron flow matching for generative reaction mechanism prediction obeying conservation laws

https://github.com/Frank-Wang-oss/GNN_RUL_Benchmarking

공식 코드

A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends

https://github.com/GUO-W/MultiMotion

공식 코드

Multi-Person Extreme Motion Prediction

https://github.com/Gaochenyin/SurrConformalDR

공식 코드

On the Role of Surrogates in Conformal Inference of Individual Causal Effects

https://github.com/GeorgeChenZJ/deepcount

공식 코드

Deep Density-aware Count Regressor

https://github.com/Georgetown-IR-Lab/epic-neural-ir

공식 코드

Expansion via Prediction of Importance with Contextualization

https://github.com/GermainVivierArdisson/CF-OPT

공식 코드

CF-OPT: Counterfactual Explanations for Structured Prediction

https://github.com/GhadeerAbuoda/LinkPrediction

공식 코드

Link Prediction via Higher-Order Motif Features

https://github.com/Gordonjo/versa

공식 코드

Meta-Learning Probabilistic Inference For Prediction

https://github.com/GraffL/predicted-dynamic-flows

공식 코드

Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment

https://github.com/Graph-COM/SUREL_Plus

공식 코드

SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning

https://github.com/GraphPKU/NeuralCommonNeighbor

공식 코드

Neural Common Neighbor with Completion for Link Prediction

https://github.com/HIIT/knowledge-elicitation-for-linear-regression

공식 코드

Knowledge Elicitation via Sequential Probabilistic Inference for High-Dimensional Prediction

https://github.com/HKUST-KnowComp/KnowComp-DialAM2024-ACL2024

공식 코드

KNOWCOMP POKEMON Team at DialAM-2024: A Two-Stage Pipeline for Detecting Relations in Dialogical Argument Mining

https://github.com/HPC-NEAU/RGDA-DDI

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RGDA-DDI: Residual graph attention network and dual-attention based framework for drug-drug interaction prediction

https://github.com/HRNet/HRFormer

공식 코드

HRFormer: High-Resolution Transformer for Dense Prediction

https://github.com/Haiyang-W/DTI-GRAPH

공식 코드

Drug-Target Interaction Prediction with Graph Attention networks

https://github.com/HamidrezaEiv/DiffBatt

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DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis

https://github.com/Hanchen-Wang/GoGNN

공식 코드

GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions

https://github.com/Hanjun-Dai/GLN

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Retrosynthesis Prediction with Conditional Graph Logic Network

https://github.com/HansBambel/SmaAt-UNet

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SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet Architecture

https://github.com/Haoran-SONG/PiP-Planning-informed-Prediction

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PiP: Planning-informed Trajectory Prediction for Autonomous Driving

https://github.com/HarshayuGirase/PECNet

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It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction

https://github.com/HeathCiff/Multi-modal-Attention-Network-for-Stock-Movements-Prediction

공식 코드

Multi-modal Attention Network for Stock Movements Prediction

https://github.com/HeddaCohenIndelman/PerturbedStructuredPredictorsDirect

공식 코드

Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization

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