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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。
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SIGN: Scalable Inception Graph Neural Networks
Fabrizio Frasca, Emanuele Rossi, +4
arXiv (Cornell University)
|
2020
|
187 citations
Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification
Ali Diba, Mohsen Fayyaz, +5
arXiv (Cornell University)
|
2017
|
187 citations
The Analytic Theory of Matrix Orthogonal Polynomials
David Damanik, Alexander Pushnitski, +1
Research Portal (King's College London)
|
2007
|
187 citations
Unsupervised Scalable Representation Learning for Multivariate Time Series
Jean-Yves Franceschi, Aymeric Dieuleveut, +1
arXiv (Cornell University)
|
2019
|
187 citations
Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
Chenfei Wu, Shengming Yin, +4
arXiv (Cornell University)
|
2023
|
187 citations
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models
Junjie Ye, Xuanting Chen, +13
arXiv (Cornell University)
|
2023
|
186 citations
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images
Mateusz Malinowski, Marcus Rohrbach, +1
arXiv (Cornell University)
|
2015
|
186 citations
Collaborative Filtering and the Missing at Random Assumption
Benjamin M. Marlin, Richard S. Zemel, +2
arXiv (Cornell University)
|
2012
|
186 citations
Comparing BERT against traditional machine learning text classification
Santiago González-Carvajal, Eduardo C. Garrido‐Merchán
arXiv (Cornell University)
|
2020
|
186 citations
Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding
George C. Linderman, Manas Rachh, +3
arXiv (Cornell University)
|
2017
|
186 citations
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