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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
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Sumanth Dathathri, Andrea Madotto 외 6명
arXiv (Cornell University)
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2019
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407 회 인용
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
Xiangru Lian, Ce Zhang 외 4명
arXiv (Cornell University)
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2017
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406 회 인용
Illuminating search spaces by mapping elites
Jean-Baptiste Mouret, Jeff Clune
arXiv (Cornell University)
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2015
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406 회 인용
Reasoning about Entailment with Neural Attention
Tim Rocktäschel, Edward Grefenstette 외 3명
arXiv (Cornell University)
|
2015
|
406 회 인용
Sensing as a Service and Big Data
Arkady Zaslavsky, Charith Perera 외 1명
arXiv (Cornell University)
|
2013
|
406 회 인용
Massively Parallel Methods for Deep Reinforcement Learning
Arun Sukumaran Nair, P. Srinivasan 외 12명
arXiv (Cornell University)
|
2015
|
405 회 인용
Conditional Positional Encodings for Vision Transformers
Xiangxiang Chu, Zhi Tian 외 3명
arXiv (Cornell University)
|
2021
|
404 회 인용
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
Nicolas Papernot, Fartash Faghri 외 24명
arXiv (Cornell University)
|
2016
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404 회 인용
Gradient-based Hyperparameter Optimization through Reversible Learning
Dougal Maclaurin, David Duvenaud 외 1명
arXiv (Cornell University)
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2015
|
403 회 인용
Improving Generalization Performance by Switching from Adam to SGD
Nitish Shirish Keskar, Richard Socher
arXiv (Cornell University)
|
2017
|
403 회 인용
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