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