Papers with Code 아카이브
regression
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- 15
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MindCode-4/code-6/tree/main/AccSGD-Parallelizing-Stochastic-Gradient-Descent
https://github.com/MindCode-4/code-7/tree/main/gaussian_adaptive_attention
https://github.com/MindCode-4/code-8/tree/main/multi-task-learning-using-uncertainty-to
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
https://github.com/MindSpore-MS-Code2/code0/tree/main/esr_ea
https://github.com/MindSpore-paper-code-2/code3/tree/main/tall
https://github.com/MindSpore-paper-code-3/code7/tree/main/esr_ea
https://github.com/MindSpore-scientific-2/code-12/tree/main/factorized-attention
https://github.com/MindSpore-scientific/code-10/tree/main/Integrated-Gradient
Integrated Gradient attribution for Gaussian Processes with non-Gaussian likelihoods
https://github.com/MindSpore-scientific/code-11/tree/main/Integrated-Gradient
Integrated Gradient attribution for Gaussian Processes with non-Gaussian likelihoods
https://github.com/MindSpore-scientific/code-6/tree/main/multi-task-learning-using-uncertainty-to
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
https://github.com/MindSpore-scientific/code-6/tree/main/multimodal-trajectory
CoverNet: Multimodal Behavior Prediction using Trajectory Sets
https://github.com/MiuGod0126/Bayes_backprop_paddle
https://github.com/ModelOriented/FairModels
Fairness Measures for Regression via Probabilistic Classification
https://github.com/MolecularAI/uq4dd
Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression Labels
https://github.com/MoritzTaylor/maml-rl-tf2
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
https://github.com/Mrqianduoduo/RSDet-8P-4R
https://github.com/NGDSystems/faiss
Link and code: Fast indexing with graphs and compact regression codes
https://github.com/NIPS-BRITS/BRITS
https://github.com/NJU-yasuo/faiss_t
Link and code: Fast indexing with graphs and compact regression codes
https://github.com/NVIDIA/waveglow
WaveGlow: A Flow-based Generative Network for Speech Synthesis
https://github.com/Nathangitlab/Backdoor-Attacks-on-Crowd-Counting
https://github.com/Nikolai10/Diffusion-TF
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
https://github.com/NitinVishalKulkarni/OfflineReinforcementLearning
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning
https://github.com/Noodles-321/OralScreen
A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images
https://github.com/Nth-iteration-labs/ofmlr
https://github.com/OFRIN/Tensorflow_GIoU
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
https://github.com/OckhamsRazor/HSP_CNN
Hit Song Prediction for Pop Music by Siamese CNN with Ranking Loss
https://github.com/Octavio-Pappalardo/MAML_for_RL_pytorch
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
https://github.com/PaddlePaddle/PaddleDetection
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
https://github.com/PaddlePaddle/PaddleOCR
https://github.com/PaddlePaddle/PaddleRec/tree/master/models/multitask/maml
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
https://github.com/PaddlePaddle/PaddleScience/tree/develop/examples/transformer4sr
A Transformer Model for Symbolic Regression towards Scientific Discovery
https://github.com/PaddlePaddle/PaddleSeg
Polarized Self-Attention: Towards High-quality Pixel-wise Regression
https://github.com/Parth-nXp/PSO-Fed
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression
https://github.com/Paulpauladq/HighSpeedFaceTracker
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.