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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
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
Zili Yi, Hao Zhang 외 2명
arXiv (Cornell University)
|
2017
|
310 회 인용
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Yongming Rao, Wenliang Zhao 외 4명
arXiv (Cornell University)
|
2021
|
310 회 인용
Open Quantum Assembly Language
Andrew W. Cross, Lev S. Bishop 외 2명
arXiv (Cornell University)
|
2017
|
310 회 인용
Pruning Convolutional Neural Networks for Resource Efficient Transfer Learning.
Pavlo Molchanov, Stephen Tyree 외 3명
arXiv (Cornell University)
|
2016
|
310 회 인용
BoT-SORT: Robust Associations Multi-Pedestrian Tracking
Nir Aharon, Roy Orfaig 외 1명
arXiv (Cornell University)
|
2022
|
308 회 인용
Holistically-Nested Edge Detection
Saining Xie, Zhuowen Tu
arXiv (Cornell University)
|
2015
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308 회 인용
Polyglot: Distributed Word Representations for Multilingual NLP
Rami Al‐Rfou, Bryan Perozzi 외 1명
arXiv (Cornell University)
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2013
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308 회 인용
What makes ImageNet good for transfer learning?
Minyoung Huh, Pulkit Agrawal 외 1명
arXiv (Cornell University)
|
2016
|
308 회 인용
Deep Q-learning from Demonstrations
Todd Hester, Matej Vecerík 외 12명
arXiv (Cornell University)
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2017
|
307 회 인용
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras, Miika Aittala 외 2명
arXiv (Cornell University)
|
2022
|
307 회 인용
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