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
Scalable Variational Gaussian Process Classification
James Hensman, Alexander Matthews, +1
arXiv (Cornell University)
|
2014
|
346 citations
Split learning for health: Distributed deep learning without sharing raw patient data
Praneeth Vepakomma, Otkrist Gupta, +2
arXiv (Cornell University)
|
2018
|
346 citations
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Túlio Ribeiro, Sameer Singh, +1
arXiv (Cornell University)
|
2016
|
346 citations
Certifying Some Distributional Robustness with Principled Adversarial Training
Aman Sinha, Hongseok Namkoong, +2
arXiv (Cornell University)
|
2017
|
345 citations
Directional Message Passing for Molecular Graphs
Johannes Gasteiger, Janek Groß, +1
arXiv (Cornell University)
|
2020
|
345 citations
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew Riemer, Ignacio Cases, +5
arXiv (Cornell University)
|
2018
|
345 citations
LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection
Pankaj Malhotra, Anusha Ramakrishnan, +4
arXiv (Cornell University)
|
2016
|
345 citations
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance
Lior Yariv, Yoni Kasten, +5
arXiv (Cornell University)
|
2020
|
345 citations
DyNet: The Dynamic Neural Network Toolkit
Graham Neubig, Chris Dyer, +23
arXiv (Cornell University)
|
2017
|
344 citations
Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz, Misha Denil, +6
arXiv (Cornell University)
|
2016
|
344 citations
118
119
120
121
122
