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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
node2vec: Scalable Feature Learning for Networks
Aditya Grover, Jure Leskovec
PubMed
|
2016
|
229 회 인용
RoFormer: Enhanced Transformer with Rotary Position Embedding
Jianlin Su, Yu Lu 외 4명
arXiv (Cornell University)
|
2021
|
229 회 인용
Should we really use post-hoc tests based on mean-ranks?
Alessio Benavoli, Giorgio Corani 외 1명
arXiv (Cornell University)
|
2015
|
229 회 인용
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang, Zhiyuan Qi 외 6명
arXiv (Cornell University)
|
2019
|
228 회 인용
A New Local Adaptive Thresholding Technique in Binarization
Tripty Singh, Sudipta Roy 외 3명
arXiv (Cornell University)
|
2012
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228 회 인용
Adaptive Sampling Towards Fast Graph Representation Learning
Wenbing Huang, Tong Zhang 외 2명
arXiv (Cornell University)
|
2018
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228 회 인용
Bridging the Gap Between Value and Policy Based Reinforcement Learning
Ofir Nachum, Mohammad Norouzi 외 2명
arXiv (Cornell University)
|
2017
|
228 회 인용
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar, Bei Peng 외 4명
arXiv (Cornell University)
|
2020
|
228 회 인용
Dynamic scheduling of virtual machines running hpc workloads in scientific grids
Omer Khalid, Ivo Maljević 외 4명
arXiv (Cornell University)
|
2010
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228 회 인용
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers
Andreas Steiner, А. И. Колесников 외 4명
arXiv (Cornell University)
|
2021
|
228 회 인용
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