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/lightonai/dfa-scales-to-modern-deep-learning

공식 코드

Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures

https://github.com/lihy0529/lossless_homomorphic_compression

공식 코드

Accelerating Distributed Deep Learning using Lossless Homomorphic Compression

https://github.com/lijuncheng16/AudioTaggingDoneRight

공식 코드

A Comparison of deep learning methods for environmental sound

https://github.com/limi44/Parkinson-s-Pose-Estimation-Dataset

공식 코드

Vision-Based Assessment of Parkinsonism and Levodopa-Induced Dyskinesia with Deep Learning Pose Estimation

https://github.com/lingjuanlv/FPPDL

공식 코드

Towards Fair and Privacy-Preserving Federated Deep Models

https://github.com/linkedin/alertiger

공식 코드

AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedIn

https://github.com/lions-epfl/scion

공식 코드

Training Deep Learning Models with Norm-Constrained LMOs

https://github.com/liuxz1011/todynet

공식 코드

TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification

https://github.com/liuyangme/sota-3dhpe-hmr

공식 코드

Deep learning for 3D human pose estimation and mesh recovery: A survey

https://github.com/lixixibj/deepvarwt-data-code

공식 코드

DeepVARwT: Deep Learning for a VAR Model with Trend

https://github.com/ljyflores/filipino-slang

공식 코드

Look Ma, Only 400 Samples! Revisiting the Effectiveness of Automatic N-Gram Rule Generation for Spelling Normalization in Filipino

https://github.com/lkriener/yin_yang_data_set

공식 코드

The Yin-Yang dataset

https://github.com/llnl/leap

공식 코드

Differentiable Forward Projector for X-ray Computed Tomography

https://github.com/lluciesmith/DeepHalos

공식 코드

Deep learning insights into cosmological structure formation

https://github.com/lochenchou/MOSNet

공식 코드

MOSNet: Deep Learning based Objective Assessment for Voice Conversion

https://github.com/locuslab/SATNet

공식 코드

SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver

https://github.com/locuslab/robust_overfitting

공식 코드

Overfitting in adversarially robust deep learning

https://github.com/locuslab/uniform-convergence-NeurIPS19

공식 코드

Uniform convergence may be unable to explain generalization in deep learning

https://github.com/lofrienger/single_surgicalscene_for_segmentation

공식 코드

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

https://github.com/logintelligence/logadempirical

공식 코드

Log-based Anomaly Detection with Deep Learning: How Far Are We?

https://github.com/lorenzolucchese/deepobs

공식 코드

The Short-Term Predictability of Returns in Order Book Markets: a Deep Learning Perspective

https://github.com/lorenzomonti/metallicity_rrls

공식 코드

Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae Stars

https://github.com/lrse/forest-simulator

공식 코드

Training point-based deep learning networks for forest segmentation with synthetic data

https://github.com/lrse/synthetic-forest-datasets

공식 코드

Training point-based deep learning networks for forest segmentation with synthetic data

https://github.com/lsds/Crossbow

공식 코드

CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers

https://github.com/lsy3/clinical-notes-diagnosis-dl-nlp

공식 코드

An Empirical Evaluation of Deep Learning for ICD-9 Code Assignment using MIMIC-III Clinical Notes

https://github.com/ltd0924/EfficiencyInferFrame

공식 코드

An Efficient Inference Frame for SMLM (Single-Molecule Localization Microscopy)

https://github.com/lu-group/pinn-macro-finance

공식 코드

Deep Learning for Solving and Estimating Dynamic Macro-Finance Models

https://github.com/lucasczz/deep-river-demo-23

공식 코드

A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning

https://github.com/lucasdedieu/noiseresilienthistopathology

공식 코드

Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classification

https://github.com/lucashu1/land-cover

공식 코드

Model Generalization in Deep Learning Applications for Land Cover Mapping

https://github.com/lucasnfe/music-sentneuron

공식 코드

Learning to Generate Music With Sentiment

https://github.com/luckystarufo/multiscale_HiTS

공식 코드

Hierarchical Deep Learning of Multiscale Differential Equation Time-Steppers

https://github.com/ludvins/variational-lla

공식 코드

Variational Linearized Laplace Approximation for Bayesian Deep Learning

https://github.com/luisoala/inn

공식 코드

Interval Neural Networks as Instability Detectors for Image Reconstructions

https://github.com/lujiazho/ssprop

공식 코드

ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back Propagation

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