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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
Deep Learning for Time-Series Analysis
John Cristian Borges Gamboa
arXiv (Cornell University)
|
2017
|
161 회 인용
Design of High Performance MIPS Cryptography Processor Based on T-DES Algorithm
Kirat Pal Singh, Shivani Parmar
arXiv (Cornell University)
|
2015
|
161 회 인용
Do Convnets Learn Correspondence?
Jonathan Long, Ning Zhang 외 1명
arXiv (Cornell University)
|
2014
|
161 회 인용
Exploiting dynamic quantum circuits in a quantum algorithm with superconducting qubits
Antonio Córcoles, Maika Takita 외 5명
arXiv (Cornell University)
|
2021
|
161 회 인용
FMA: A Dataset For Music Analysis
Michaël Defferrard, Kirell Benzi 외 2명
arXiv (Cornell University)
|
2016
|
161 회 인용
How Does Learning Rate Decay Help Modern Neural Networks?
Kaichao You, Mingsheng Long 외 2명
arXiv (Cornell University)
|
2019
|
161 회 인용
Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding
Xiaodong Liu, Pengcheng He 외 2명
arXiv (Cornell University)
|
2019
|
161 회 인용
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider, Evgenia Rusak 외 4명
arXiv (Cornell University)
|
2020
|
161 회 인용
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
Syed Waqas Zamir, Aditya Arora 외 8명
arXiv (Cornell University)
|
2019
|
161 회 인용
Least Squares Generative Adversarial Networks
Xudong Mao, Qing Li 외 4명
arXiv (Cornell University)
|
2016
|
161 회 인용
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