Papers with Code 아카이브

regression

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

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평가표

6

보존된 평가 기록

15

코드

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

https://github.com/lucaoffice/publications

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Automated Essay Scoring Using Transformer Models

https://github.com/lucapate/spatial_sirus

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S-SIRUS: an explainability algorithm for spatial regression Random Forest

https://github.com/lucastabelini/PolyLaneNet

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PolyLaneNet: Lane Estimation via Deep Polynomial Regression

https://github.com/lucasxlu/TransFBP

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Transferring Rich Deep Features for Facial Beauty Prediction

https://github.com/luck1226/multisource_deepGaussianProcess

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Conditional Deep Gaussian Processes: multi-fidelity kernel learning

https://github.com/luckybird1994/hqsod

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Disentangled High Quality Salient Object Detection

https://github.com/luiswn/ffr

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Functional Factor Regression with an Application to Electricity Price Curve Modeling

https://github.com/lukasfehring/harris-hybrid_ranking_and_regression_forests

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HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection

https://github.com/lukasliebel/MultiDepth

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MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification

https://github.com/lukeyf/multiview_remote_sensing

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Uncertainty-Aware Regression for Socio-Economic Estimation via Multi-View Remote Sensing

https://github.com/lumos0507/hp-mcore

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Action Quality Assessment via Hierarchical Pose-guided Multi-stage Contrastive Regression

https://github.com/luo-lorry/conformal-load-forecasting

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Conformal Load Prediction with Transductive Graph Autoencoders

https://github.com/luo-lorry/cti

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Conformal Thresholded Intervals for Efficient Regression

https://github.com/lurovi/survivalmultitree-pynsgp

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Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regression

https://github.com/lvzhaoyang/DeeperInverseCompositionalAlgorithm

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Taking a Deeper Look at the Inverse Compositional Algorithm

https://github.com/lzw108/emollms

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EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis

https://github.com/m-zakeri/adafest

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An ensemble meta-estimator to predict source code testability

https://github.com/m2dgithub/DL-Reg

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DL-Reg: A Deep Learning Regularization Technique using Linear Regression

https://github.com/macolominas/SAMD

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Decomposing non-stationary signals with time-varying wave-shape functions

https://github.com/madhavlab/2022_ssda_airquality

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Leveraging unsupervised data and domain adaptation for deep regression in low-cost sensor calibration

https://github.com/magicffourier/vq-nerv

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VQ-NeRV: A Vector Quantized Neural Representation for Videos

https://github.com/magnusross/nvkm

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Learning Nonparametric Volterra Kernels with Gaussian Processes

https://github.com/mahmoodlab/uni

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Evaluating Deep Regression Models for WSI-Based Gene-Expression Prediction

https://github.com/mahuanaaa/monig

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Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions

https://github.com/majavid/SUM2019

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Order-Independent Structure Learning of Multivariate Regression Chain Graphs

https://github.com/malagoutou/Inner-IoU

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Inner-IoU: More Effective Intersection over Union Loss with Auxiliary Bounding Box

https://github.com/malagoutou/focaler-iou

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Focaler-IoU: More Focused Intersection over Union Loss

https://github.com/malagoutou/shape-iou

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Shape-IoU: More Accurate Metric considering Bounding Box Shape and Scale

https://github.com/maltamiranomontero/RCGP

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Robust and Conjugate Gaussian Process Regression

https://github.com/manga-uofa/lmreward

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Teacher Forcing Recovers Reward Functions for Text Generation

https://github.com/mansheej/icl-task-diversity

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Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression

https://github.com/manuelIDSIA/SRGP

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Recursive Estimation for Sparse Gaussian Process Regression

https://github.com/manujosephv/GATE

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GANDALF: Gated Adaptive Network for Deep Automated Learning of Features

https://github.com/maoxiaowei97/dutytte

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DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation

https://github.com/maragraziani/interpretablewsitornaseq

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Attention-based Interpretable Regression of Gene Expression in Histology

https://github.com/marco-peg/mvqr

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Vector Quantile Regression on Manifolds

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