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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
SIGN: Scalable Inception Graph Neural Networks
Fabrizio Frasca, Emanuele Rossi 외 4명
arXiv (Cornell University)
|
2020
|
187 회 인용
Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification
Ali Diba, Mohsen Fayyaz 외 5명
arXiv (Cornell University)
|
2017
|
187 회 인용
The Analytic Theory of Matrix Orthogonal Polynomials
David Damanik, Alexander Pushnitski 외 1명
Research Portal (King's College London)
|
2007
|
187 회 인용
Unsupervised Scalable Representation Learning for Multivariate Time Series
Jean-Yves Franceschi, Aymeric Dieuleveut 외 1명
arXiv (Cornell University)
|
2019
|
187 회 인용
Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
Chenfei Wu, Shengming Yin 외 4명
arXiv (Cornell University)
|
2023
|
187 회 인용
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models
Junjie Ye, Xuanting Chen 외 13명
arXiv (Cornell University)
|
2023
|
186 회 인용
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images
Mateusz Malinowski, Marcus Rohrbach 외 1명
arXiv (Cornell University)
|
2015
|
186 회 인용
Collaborative Filtering and the Missing at Random Assumption
Benjamin M. Marlin, Richard S. Zemel 외 2명
arXiv (Cornell University)
|
2012
|
186 회 인용
Comparing BERT against traditional machine learning text classification
Santiago González-Carvajal, Eduardo C. Garrido‐Merchán
arXiv (Cornell University)
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2020
|
186 회 인용
Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding
George C. Linderman, Manas Rachh 외 3명
arXiv (Cornell University)
|
2017
|
186 회 인용
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