Papers with Code 아카이브

Deep Learning

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

0

보존된 평가 기록

0

코드

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

https://github.com/safooray/tensor_factorization_mtl

Deep Multi-task Representation Learning: A Tensor Factorisation Approach

https://github.com/saicharanabhishek/deeptriangle

DeepTriangle: A Deep Learning Approach to Loss Reserving

https://github.com/sail-sg/mdt

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

https://github.com/sajadn/QHAdam

Quasi-hyperbolic momentum and Adam for deep learning

https://github.com/salomonhotegni/MOREL

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/salvaRC/graphnet_pytorch

Relational inductive biases, deep learning, and graph networks

https://github.com/samihadouaj/siyanWork

A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

https://github.com/samiwilf/dlrm_from_shz0116

Deep Learning Recommendation Model for Personalization and Recommendation Systems

https://github.com/samsucik/t2t

Tensor2Tensor for Neural Machine Translation

https://github.com/sandeepnair2812/Deep-Learning-Based-Search-and-Recommendation-System

Wide & Deep Learning for Recommender Systems

https://github.com/sapmlresearch/DiffPrivate_FedLearning

Deep Learning with Differential Privacy

https://github.com/sarcDV/list-pubs

Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning

https://github.com/sarsbug/DCN_keras

Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering

https://github.com/sarthak15169/Deep-Music

Deep Learning for Music

https://github.com/saumya0303/Attack_on_Image_Classification_Network

Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

https://github.com/saumya0303/attack_image

Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

https://github.com/saumya0303/image-classification-network-attack

Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

https://github.com/saurabhdeshpande93/convolution-aggregation-attention

MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations

https://github.com/sbb-gh/Deeper-Image-Quality-Transfer-Training-Low-Memory-Neural-Networks-for-3D-Images

Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images

https://github.com/sbcblab/Keras-CoDeepNEAT

Evolving Deep Neural Networks

https://github.com/scenarri/s2m-tea

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/schmitt-muc/SEN12MS

Model Generalization in Deep Learning Applications for Land Cover Mapping

https://github.com/scientific-computing-lab-nrcn/multi-view-explainability

Determining HEDP Foams' Quality with Multi-View Deep Learning Classification

https://github.com/scikit-mobility/DeepLearning4HumanMobility

A Survey on Deep Learning for Human Mobility

https://github.com/scxhhh/ISMTS-Review

A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data

https://github.com/seanXYZ/SegDecNet

Segmentation-Based Deep-Learning Approach for Surface-Defect Detection

https://github.com/securade/hub

Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset

https://github.com/serengil/deepface

Deep Learning Face Representation by Joint Identification-Verification

https://github.com/sevenysw/python_segy

Deep learning for denoising

https://github.com/shashankskagnihotri/adv-corrected-ddcat-cospgd

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/shawnwang-tech/PM2.5-GNN

PCDCNet: A Surrogate Model for Air Quality Forecasting with Physical-Chemical Dynamics and Constraints

https://github.com/shayandaneshvar/gui-element-detection

GUI Element Detection Using SOTA YOLO Deep Learning Models

https://github.com/shenweichen/DeepCTR

Wide & Deep Learning for Recommender Systems

https://github.com/shenweichen/DeepCTR-PyTorch

Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction

https://github.com/shenweichen/DeepCTR-Torch

Wide & Deep Learning for Recommender Systems

https://github.com/shenweichen/deepmatch

DeepRec: An Open-source Toolkit for Deep Learning based Recommendation

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