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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
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
Chenlin Meng, Yutong He 외 5명
arXiv (Cornell University)
|
2021
|
299 회 인용
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model
Shaden Smith, Mostofa Patwary 외 18명
arXiv (Cornell University)
|
2022
|
299 회 인용
Why do deep convolutional networks generalize so poorly to small image transformations?
Aharon Azulay, Yair Weiss
arXiv (Cornell University)
|
2018
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299 회 인용
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
Junjie Hu, Sebastian Ruder 외 4명
arXiv (Cornell University)
|
2020
|
299 회 인용
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books
Yukun Zhu, Ryan Kiros 외 5명
arXiv (Cornell University)
|
2015
|
298 회 인용
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Yuning Chai, Benjamin Sapp 외 2명
arXiv (Cornell University)
|
2019
|
298 회 인용
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
Jesse Engel, Cinjon Resnick 외 5명
arXiv (Cornell University)
|
2017
|
298 회 인용
One-shot Learning with Memory-Augmented Neural Networks
Adam Santoro, Sergey Bartunov 외 3명
arXiv (Cornell University)
|
2016
|
298 회 인용
Representation Learning on Graphs: Methods and Applications
William L. Hamilton, Rex Ying 외 1명
arXiv (Cornell University)
|
2017
|
298 회 인용
Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression
David Mimno, Andrew McCallum
arXiv (Cornell University)
|
2012
|
298 회 인용
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