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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
Learning feed-forward one-shot learners
Luca Bertinetto, João F. Henriques 외 3명
arXiv (Cornell University)
|
2016
|
241 회 인용
Neural Text Generation with Unlikelihood Training
Sean Welleck, Ilia Kulikov 외 4명
arXiv (Cornell University)
|
2019
|
241 회 인용
On Convergence and Stability of GANs
Naveen Kodali, Jacob Abernethy 외 2명
arXiv (Cornell University)
|
2017
|
241 회 인용
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization
Ye Tian, Ran Cheng 외 2명
View
|
2017
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241 회 인용
Provable Bounds for Learning Some Deep Representations
Sanjeev Arora, Aditya Bhaskara 외 2명
arXiv (Cornell University)
|
2013
|
241 회 인용
Software Grand Exposure: SGX Cache Attacks Are Practical
Ferdinand Brasser, Urs Müller 외 4명
arXiv (Cornell University)
|
2017
|
241 회 인용
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Yingfan Wang, Haiyang Huang 외 2명
arXiv (Cornell University)
|
2020
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241 회 인용
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
Alain Hauser, Peter Bühlmann
arXiv (Cornell University)
|
2011
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240 회 인용
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Alexei Baevski, Wei-Ning Hsu 외 4명
arXiv (Cornell University)
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2022
|
240 회 인용
Denoising Diffusion Restoration Models
Bahjat Kawar, Michael Elad 외 2명
arXiv (Cornell University)
|
2022
|
240 회 인용
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