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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/jieyong99/SCRAP

공식 코드

Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy

https://github.com/jieyong99/exp3rt

공식 코드

Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation

https://github.com/jimengshi/dl-foundation-models-weather

공식 코드

Deep Learning and Foundation Models for Weather Prediction: A Survey

https://github.com/jinqiang-yu/xcon22

공식 코드

Eliminating The Impossible, Whatever Remains Must Be True

https://github.com/jiyuanfeng/ddp

공식 코드

DDP: Diffusion Model for Dense Visual Prediction

https://github.com/jjcherian/conformal-safety

공식 코드

Large language model validity via enhanced conformal prediction methods

https://github.com/jjfeng/ulm-guards

공식 코드

Selective prediction-set models with coverage guarantees

https://github.com/jlgrons/stratified-ssl

공식 코드

Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling

https://github.com/jmercat/KalmanBaseline

공식 코드

Kinematic Single Vehicle Trajectory Prediction Baselines and Applications with the NGSIM Dataset

https://github.com/joapolarbear/cdmpp

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CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs

https://github.com/joelniklaus/swissjudgementprediction

공식 코드

Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark

https://github.com/jofas/conform

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libconform v0.1.0: a Python library for conformal prediction

https://github.com/johannestreutlein/scoring-rules-performative

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Incentivizing honest performative predictions with proper scoring rules

https://github.com/john-bradshaw/rxn-lm

공식 코드

Challenging reaction prediction models to generalize to novel chemistry

https://github.com/john-bradshaw/rxn-splits

공식 코드

Challenging reaction prediction models to generalize to novel chemistry

https://github.com/johnmartinsson/adaptive-change-point-detection

공식 코드

From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning

https://github.com/johnyang101/reticular-sae

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Towards Interpretable Protein Structure Prediction with Sparse Autoencoders

https://github.com/jonathanbalasingham/periodic-set-transformer

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Accelerating Material Property Prediction using Generically Complete Isometry Invariants

https://github.com/jonathanwider/DLWP-eval-extremes

공식 코드

Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events

https://github.com/josuastadelmaier/t-cell-response-prediction

공식 코드

Transfer Learning for T-Cell Response Prediction

https://github.com/jovitalukasik/vs_gae

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A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction

https://github.com/joy-driven/granp

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GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction

https://github.com/jsb-ucla/itca

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Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification

https://github.com/jtcolonel/catch

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CAtCh: Cognitive Assessment through Cookie Thief

https://github.com/juangamella/abcd

공식 코드

Active Invariant Causal Prediction: Experiment Selection through Stability

https://github.com/juangamella/aicp

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Active Invariant Causal Prediction: Experiment Selection through Stability

https://github.com/juanhui28/heart

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Revisiting Link Prediction: A Data Perspective

https://github.com/juliameister/dl-confident-loss-function

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A novel Deep Learning approach for one-step Conformal Prediction approximation

https://github.com/junhyukoh/value-prediction-network

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Value Prediction Network

https://github.com/junting-ren/model_uncertainty_using_feature_confidence_set

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Model uncertainty quantification using feature confidence sets for outcome excursions

https://github.com/junwenbai/c-gmvae

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Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification

https://github.com/junwenchen/GAP_SRAM

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Group Activity Prediction with Sequential Relational Anticipation Model

https://github.com/jusiro/clip-conformal

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Conformal Prediction for Zero-Shot Models

https://github.com/justinlovelace/explainable-mimic-predictions

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Explainable Prediction of Adverse Outcomes Using Clinical Notes

https://github.com/jwfanggit/lotvs-cap

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Cognitive Accident Prediction in Driving Scenes: A Multimodality Benchmark

https://github.com/jwfangit/emem-ndt

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Vehicle Behavior Prediction by Episodic-Memory Implanted NDT

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