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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
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning
Lex Weaver, Nigel Tao
arXiv (Cornell University)
|
2013
|
164 회 인용
Understanding Membership Inferences on Well-Generalized Learning Models
Yunhui Long, Vincent Bindschaedler 외 6명
arXiv (Cornell University)
|
2018
|
164 회 인용
A Note on Normalized Emergence Timing (in Pythia Language Model Evaluations)
Rooks, Tyler Cason
arXiv (Cornell University)
|
2023
|
163 회 인용
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Noam Shazeer, Mitchell Stern
arXiv (Cornell University)
|
2018
|
163 회 인용
Bayesian Model-Agnostic Meta-Learning
Taesup Kim, Jaesik Yoon 외 4명
arXiv (Cornell University)
|
2018
|
163 회 인용
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020
Ryan Turner, David Eriksson 외 5명
arXiv (Cornell University)
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2021
|
163 회 인용
Collecting and Analyzing Data from Smart Device Users with Local Differential Privacy
Thông Nguyen, Xiaokui Xiao 외 4명
arXiv (Cornell University)
|
2016
|
163 회 인용
CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition
Xuejing Yuan, Yuxuan Chen 외 8명
arXiv (Cornell University)
|
2018
|
163 회 인용
Congestion Avoidance in Computer Networks with a Connectionless Network Layer
Raj Jain, K. K. Ramakrishnan 외 1명
ArXiv.org
|
1998
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163 회 인용
Deep Supervised Discrete Hashing
Qi Li, Zhenan Sun 외 2명
arXiv (Cornell University)
|
2017
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163 회 인용
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