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