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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
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel, Noam Shazeer 외 7명
arXiv (Cornell University)
|
2019
|
8,320 회 인용
Graph Attention Networks
Petar Veličković, Guillem Cucurull 외 4명
arXiv (Cornell University)
|
2017
|
8,277 회 인용
Explaining and Harnessing Adversarial Examples
Ian Goodfellow, Jonathon Shlens 외 1명
arXiv (Cornell University)
|
2014
|
8,108 회 인용
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf, Max Welling
arXiv (Cornell University)
|
2016
|
8,058 회 인용
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford, Luke Metz 외 1명
arXiv (Cornell University)
|
2015
|
7,641 회 인용
A Unified Approach to Interpreting Model Predictions
Scott Lundberg, Su‐In Lee
arXiv (Cornell University)
|
2017
|
7,621 회 인용
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Kelvin Xu, Jimmy Ba 외 6명
arXiv (Cornell University)
|
2015
|
7,495 회 인용
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen, George Papandreou 외 2명
arXiv (Cornell University)
|
2017
|
7,431 회 인용
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes, John J. Healy 외 1명
arXiv (Cornell University)
|
2018
|
7,412 회 인용
A Simple Framework for Contrastive Learning of Visual Representations
Ting Chen, Simon Kornblith 외 2명
arXiv (Cornell University)
|
2020
|
7,315 회 인용
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