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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
Unified Language Model Pre-training for Natural Language Understanding and Generation
Li Dong
arXiv (Cornell University)
|
2019
|
949 회 인용
Sequence Level Training with Recurrent Neural Networks
Marc’Aurelio Ranzato, Sumit Chopra 외 2명
arXiv (Cornell University)
|
2015
|
945 회 인용
Matching Networks for One Shot Learning
Oriol Vinyals, Charles Blundell 외 3명
arXiv (Cornell University)
|
2016
|
942 회 인용
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Jure Žbontar, Yann LeCun
arXiv (Cornell University)
|
2015
|
939 회 인용
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff, Aravind Srinivas 외 5명
arXiv (Cornell University)
|
2019
|
936 회 인용
Training Generative Adversarial Networks with Limited Data
Tero Karras, Miika Aittala 외 4명
arXiv (Cornell University)
|
2020
|
932 회 인용
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans, Diederik P. Kingma
arXiv (Cornell University)
|
2016
|
928 회 인용
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao, Dong Li 외 2명
arXiv (Cornell University)
|
2021
|
922 회 인용
MUSAN: A Music, Speech, and Noise Corpus
David Snyder, Guoguo Chen 외 1명
arXiv (Cornell University)
|
2015
|
922 회 인용
YouTube-8M: A Large-Scale Video Classification Benchmark
Sami Abu-El-Haija, Nisarg Kothari 외 5명
arXiv (Cornell University)
|
2016
|
920 회 인용
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