Skip to main content
Nubint
智能体
资源
价格方案
关于我们
ZH
Home
论文解读
Computer Science
Computer Science 论文解读
Computer Science 领域重要论文的 AI 解读列表,按研究动机、方法与结果结构化呈现。
全部
Computer Science
Mathematics
Physics and Astronomy
Engineering
Materials Science
Chemistry
Chemical Engineering
Earth and Planetary Sciences
Environmental Science
Energy
Biochemistry, Genetics and Molecular Biology
Neuroscience
Immunology and Microbiology
Agricultural and Biological Sciences
Medicine
Pharmacology, Toxicology and Pharmaceutics
Health Professions
Economics, Econometrics and Finance
Business, Management and Accounting
Decision Sciences
Social Sciences
Psychology
Arts and Humanities
Filter
9999+ results
MediaPipe Hands: On-device Real-time Hand Tracking
Fan Zhang, Valentin Bazarevsky, +5
arXiv (Cornell University)
|
2020
|
543 citations
Speeding up Convolutional Neural Networks with Low Rank Expansions
Max Jaderberg, Andrea Vedaldi, +1
arXiv (Cornell University)
|
2014
|
543 citations
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
Dong Yin, Yudong Chen, +2
arXiv (Cornell University)
|
2018
|
542 citations
Deep Reinforcement Learning: An Overview
Yuxi Li
arXiv (Cornell University)
|
2017
|
542 citations
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
Pouya Bashivan, Irina Rish, +2
arXiv (Cornell University)
|
2015
|
542 citations
Semi-Supervised Learning with Generative Adversarial Networks
Augustus Odena
arXiv (Cornell University)
|
2016
|
542 citations
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
Kevin B. Clark, Minh-Thang Luong, +2
arXiv (Cornell University)
|
2020
|
541 citations
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Huifeng Guo, Ruiming Tang, +3
arXiv (Cornell University)
|
2017
|
540 citations
Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment
Zhenyue Zhang, Hongyuan Zha
arXiv (Cornell University)
|
2002
|
540 citations
A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets
Nicolas Le Roux, Mark Schmidt, +1
arXiv (Cornell University)
|
2012
|
538 citations
68
69
70
71
72