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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
Basic Performance Measurements of the Intel Optane DC Persistent Memory Module
Joseph Izraelevitz, Jian Yang 외 10명
arXiv (Cornell University)
|
2019
|
200 회 인용
Harnessing Deep Neural Networks with Logic Rules
Zhiting Hu, Xuezhe Ma 외 3명
arXiv (Cornell University)
|
2016
|
200 회 인용
Image Transformer
Niki Parmar, Ashish Vaswani 외 5명
arXiv (Cornell University)
|
2018
|
200 회 인용
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy, Sergey Ioffe 외 2명
arXiv (Cornell University)
|
2016
|
200 회 인용
Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles
Yann Ollivier, Ludovic Arnold 외 2명
arXiv (Cornell University)
|
2011
|
200 회 인용
Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research
Benjamin Birnbaum, Nathan C. Nussbaum 외 8명
arXiv (Cornell University)
|
2020
|
200 회 인용
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition
Zhang Yu, James Qin 외 6명
arXiv (Cornell University)
|
2020
|
200 회 인용
Training and Inference with Integers in Deep Neural Networks
Shuang Wu, Guoqi Li 외 2명
arXiv (Cornell University)
|
2018
|
200 회 인용
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks
Eden Belouadah, Adrian Popescu 외 1명
arXiv (Cornell University)
|
2020
|
199 회 인용
A Deep Reinforcement Learning Chatbot
Iulian Vlad Serban, Chinnadhurai Sankar 외 16명
arXiv (Cornell University)
|
2017
|
199 회 인용
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