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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
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol, Prafulla Dhariwal 외 6명
arXiv (Cornell University)
|
2021
|
997 회 인용
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Alex Wang, Yada Pruksachatkun 외 6명
arXiv (Cornell University)
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2019
|
986 회 인용
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song, Stefano Ermon
arXiv (Cornell University)
|
2019
|
985 회 인용
Federated Learning of Deep Networks using Model Averaging
H. Brendan McMahan, Eider Moore 외 2명
arXiv (Cornell University)
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2016
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984 회 인용
One weird trick for parallelizing convolutional neural networks
Alex Krizhevsky
arXiv (Cornell University)
|
2014
|
984 회 인용
Noise2Noise: Learning Image Restoration without Clean Data
Jaakko Lehtinen, Jacob Munkberg 외 5명
arXiv (Cornell University)
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2018
|
982 회 인용
An Analysis of Deep Neural Network Models for Practical Applications
Alfredo Canziani, Adam Paszke 외 1명
arXiv (Cornell University)
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2016
|
981 회 인용
Optuna: A Next-generation Hyperparameter Optimization Framework
Plambeck, Swantje, Schmidt, Maximilian 외 3명
arXiv (Cornell University)
|
2019
|
980 회 인용
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Jingqing Zhang, Yao Zhao 외 2명
arXiv (Cornell University)
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2019
|
978 회 인용
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee, Kibok Lee 외 2명
arXiv (Cornell University)
|
2018
|
976 회 인용
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