Papers with Code 아카이브

regression

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

2

평가표

6

보존된 평가 기록

15

코드

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

https://github.com/EpistasisLab/regression-benchmark

공식 코드

Where are we now? A large benchmark study of recent symbolic regression methods

https://github.com/EpistasisLab/srbench

공식 코드

Contemporary Symbolic Regression Methods and their Relative Performance

https://github.com/EtashGuha/R2CCP

공식 코드

Conformal Prediction via Regression-as-Classification

https://github.com/FabianoVeglianti/Effective-Non-Random-Extreme-Learning-Machine

공식 코드

Effective Non-Random Extreme Learning Machine

https://github.com/FalkonML/falkon

공식 코드

Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression

https://github.com/FangyunWei/PointSetAnchor

공식 코드

Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation

https://github.com/FarnooshHeidari/CompletionDetection

공식 코드

Action Completion: A Temporal Model for Moment Detection

https://github.com/FloList/EMPL

공식 코드

The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression

https://github.com/FluidMechanicsInta/Towards-aerodynamic-surrogate-modeling-based-on-beta-variational-autoencoders

공식 코드

Towards aerodynamic surrogate modeling based on $β$-variational autoencoders

https://github.com/Framartin/adversarial-logistic

공식 코드

Adversarial Perturbation Intensity Achieving Chosen Intra-Technique Transferability Level for Logistic Regression

https://github.com/Franck-Dernoncourt/model-theoretic

공식 코드

Mapping distributional to model-theoretic semantic spaces: a baseline

https://github.com/FrankD/fuser

공식 코드

High-dimensional regression over disease subgroups

https://github.com/Fraunhofer-AISEC/regression-data-poisoning

공식 코드

Data Poisoning Attacks on Regression Learning and Corresponding Defenses

https://github.com/Fraunhofer-AISEC/regression_data_poisoning

공식 코드

Data Poisoning Attacks on Regression Learning and Corresponding Defenses

https://github.com/FuhgJan/AdaptiveMIVor

공식 코드

An innovative adaptive kriging approach for efficient binary classification of mechanical problems

https://github.com/GAMMA-UMD/doa-release

공식 코드

Regression and Classification for Direction-of-Arrival Estimation with Convolutional Recurrent Neural Networks

https://github.com/GBDT-PL/GBDT-PL

공식 코드

Gradient Boosting With Piece-Wise Linear Regression Trees

https://github.com/GMahlerTheTragic/civic

공식 코드

Using LLMs to label medical papers according to the CIViC evidence model

https://github.com/GeeeG/CloudAAE

공식 코드

CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds

https://github.com/GeeeG/CloudPose

공식 코드

6D Object Pose Regression via Supervised Learning on Point Clouds

https://github.com/GhiXu/CIDER

공식 코드

Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume

https://github.com/GorkemP/labeled-images-for-ulcerative-colitis

공식 코드

Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity Estimation

https://github.com/GregoireMialon/screening_samples

공식 코드

Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions

https://github.com/HCIILAB/SCUT-FBP5500-Database-Release

공식 코드

SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty 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/HLR/LvsR-LLM

공식 코드

Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMs

https://github.com/HRNet/HRNet-Bottom-Up-Pose-Estimation

공식 코드

Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates

https://github.com/HaizhaoYang/DeCom

공식 코드

Recursive Diffeomorphism-Based Regression for Shape Functions

https://github.com/HaoGood/MOD

공식 코드

Toward Minimal Misalignment at Minimal Cost in One-Stage and Anchor-Free Object Detection

https://github.com/HaohanZou/CoNSAL

공식 코드

Combining Neural Networks and Symbolic Regression for Analytical Lyapunov Function Discovery

https://github.com/HarleyHK/JMPF

공식 코드

Joint Maximum Purity Forest with Application to Image Super-Resolution

https://github.com/HeinerKremer/sinkhorn-iv

공식 코드

Geometry-Aware Instrumental Variable Regression

https://github.com/HildoBijl/SONIG

공식 코드

System Identification through Online Sparse Gaussian Process Regression with Input Noise

https://github.com/HongwenZhang/PyMAF

공식 코드

PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop

https://github.com/Hzzone/AgeFlow

공식 코드

AgeFlow: Conditional Age Progression and Regression with Normalizing Flows

https://github.com/IBM/IRM-games

공식 코드

Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.