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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
Feature Learning in Deep Neural Networks - Studies on Speech Recognition Tasks
Dong Yu, Michael L. Seltzer 외 3명
arXiv (Cornell University)
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2013
|
177 회 인용
Information-theoretic lower bounds for distributed statistical estimation with communication constraints
Yuchen Zhang, John C. Duchi 외 2명
arXiv (Cornell University)
|
2013
|
177 회 인용
Safe Feature Elimination in Sparse Supervised Learning
Laurent El Ghaoui, Vivian Viallon 외 1명
arXiv (Cornell University)
|
2010
|
177 회 인용
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
Longlong Jing, Yingli Tian
arXiv (Cornell University)
|
2019
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177 회 인용
Successor Features for Transfer in Reinforcement Learning
André Sales Barreto, Will Dabney 외 5명
arXiv (Cornell University)
|
2016
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177 회 인용
Convolutional Kernel Networks
Julien Mairal, Piotr Koniusz 외 2명
arXiv (Cornell University)
|
2014
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176 회 인용
Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms
Jianyu Wang, Gauri Joshi
arXiv (Cornell University)
|
2018
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176 회 인용
Fast Context Adaptation via Meta-Learning
Luisa Zintgraf, Kyriacos Shiarlis 외 3명
arXiv (Cornell University)
|
2018
|
176 회 인용
FinBERT: A Pretrained Language Model for Financial Communications
Yi Yang, Mark Christopher Siy Uy 외 1명
arXiv (Cornell University)
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2020
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176 회 인용
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu, Yu Cheng 외 4명
arXiv (Cornell University)
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2019
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176 회 인용
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