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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
SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting
Yuhang Song, Chao Yang 외 4명
arXiv (Cornell University)
|
2018
|
118 회 인용
TVM: End-to-End Optimization Stack for Deep Learning
Tianqi Chen, Thierry Moreau 외 8명
arXiv (Cornell University)
|
2018
|
118 회 인용
Variable Rate Image Compression with Recurrent Neural Networks
George Toderici, Sean M. O’Malley 외 6명
arXiv (Cornell University)
|
2015
|
118 회 인용
Vision-and-Dialog Navigation
Jesse Thomason, Michael Murray 외 2명
arXiv (Cornell University)
|
2019
|
118 회 인용
A Bayesian Data Augmentation Approach for Learning Deep Models
Toan Tran, Trung Pham 외 3명
arXiv (Cornell University)
|
2017
|
117 회 인용
A New Model of Plan Recognition
Robert P. Goldman, Christopher Geib 외 1명
arXiv (Cornell University)
|
2013
|
117 회 인용
A Variational Inequality Perspective on Generative Adversarial Networks
Gauthier Gidel, Hugo Berard 외 3명
arXiv (Cornell University)
|
2018
|
117 회 인용
AI Safety Gridworlds
Jan Leike, Miljan Martic 외 6명
arXiv (Cornell University)
|
2017
|
117 회 인용
Context-Aware Sentence/Passage Term Importance Estimation For First Stage Retrieval
Zhuyun Dai, Jamie Callan
arXiv (Cornell University)
|
2019
|
117 회 인용
Data-efficient Deep Reinforcement Learning for Dexterous Manipulation
Ivaylo Popov, Nicolas Heess 외 8명
arXiv (Cornell University)
|
2017
|
117 회 인용
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