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regression

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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/google-research/google-research/tree/master/constrained_language_typology

공식 코드

NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task

https://github.com/google-research/google-research/tree/master/dp_transfer

공식 코드

Differentially Private Image Classification from Features

https://github.com/google-research/google-research/tree/master/neural_guided_symbolic_regression

공식 코드

Neural-Guided Symbolic Regression with Asymptotic Constraints

https://github.com/google-research/optformer

공식 코드

OmniPred: Language Models as Universal Regressors

https://github.com/google-research/self-organising-systems

공식 코드

Transformers learn in-context by gradient descent

https://github.com/google-research/sloe-logistic

공식 코드

SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression

https://github.com/google/mediapipe

공식 코드

BlazePose: On-device Real-time Body Pose tracking

https://github.com/google/tf_mesh_renderer

공식 코드

Unsupervised Training for 3D Morphable Model Regression

https://github.com/gorilla-lab-scut/bico-net

공식 코드

BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation

https://github.com/gorilla-lab-scut/mast

공식 코드

Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose

https://github.com/goyalpike/RK4_SinDy

공식 코드

Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression Approach

https://github.com/gptune/parla-tuning

공식 코드

Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems

https://github.com/gradientinstitute/fastfair

공식 코드

Fast Fair Regression via Efficient Approximations of Mutual Information

https://github.com/greatlog/SWAHR-HumanPose

공식 코드

Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation

https://github.com/gregfaletto/presto

공식 코드

Predicting Rare Events by Shrinking Towards Proportional Odds

https://github.com/grimmlab/evars-gpr

공식 코드

EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data

https://github.com/grwip/holrr

공식 코드

Tensor Regression

https://github.com/guoyihonggyh/distributionally-robust-policy-evaluation-under-general-covariate-shift-in-contextual-bandits

공식 코드

Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits

https://github.com/guoyongcs/DRN

공식 코드

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

https://github.com/guoyongcs/drc

공식 코드

Towards Lightweight Super-Resolution with Dual Regression Learning

https://github.com/gurdaspuriya/ot_regression

공식 코드

Regression via Implicit Models and Optimal Transport Cost Minimization

https://github.com/gykovacs/conditioning_bias

공식 코드

The Conditioning Bias in Binary Decision Trees and Random Forests and Its Elimination

https://github.com/gzerveas/mvts_transformer

공식 코드

A Transformer-based Framework for Multivariate Time Series Representation Learning

https://github.com/h3jia/nqe

공식 코드

Simulation-Based Inference with Quantile Regression

https://github.com/haifengwen/distributed-conformal-prediction

공식 코드

Distributed Conformal Prediction via Message Passing

https://github.com/haksorus/gsplatloc

공식 코드

GSplatLoc: Grounding Keypoint Descriptors into 3D Gaussian Splatting for Improved Visual Localization

https://github.com/hamrel-cxu/EnbPI

공식 코드

Conformal prediction interval for dynamic time-series

https://github.com/hamrel-cxu/spci-code

공식 코드

Sequential Predictive Conformal Inference for Time Series

https://github.com/hanxudong/systematic_evaluation_of_predictive_fairness

공식 코드

Systematic Evaluation of Predictive Fairness

https://github.com/hanzhao-wang/rwr

공식 코드

When No-Rejection Learning is Consistent for Regression with Rejection

https://github.com/haochen-rye/hnerv

공식 코드

HNeRV: A Hybrid Neural Representation for Videos

https://github.com/haofanwang/accurate-head-pose

공식 코드

Hybrid coarse-fine classification for head pose estimation

https://github.com/haofeixu/gmflow

공식 코드

GMFlow: Learning Optical Flow via Global Matching

https://github.com/haoming-codes/str-withheld

공식 코드

Classification with Strategically Withheld Data

https://github.com/haotiansun14/SpecIV

공식 코드

Spectral Representation for Causal Estimation with Hidden Confounders

https://github.com/haoyuzhao123/coreset-vfl-codes

공식 코드

Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering

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