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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
Implicit Quantile Networks for Distributional Reinforcement Learning
Will Dabney, Georg Ostrovski 외 2명
arXiv (Cornell University)
|
2018
|
197 회 인용
K-Net: Towards Unified Image Segmentation
Wenwei Zhang, Jiangmiao Pang 외 2명
arXiv (Cornell University)
|
2021
|
197 회 인용
Learning Factorized Multimodal Representations
Yao-Hung Hubert Tsai, Paul Pu Liang 외 3명
arXiv (Cornell University)
|
2018
|
197 회 인용
Learning the Number of Neurons in Deep Networks
José M. Alvarez, Mathieu Salzmann
arXiv (Cornell University)
|
2016
|
197 회 인용
Learning to Compare Image Patches via Convolutional Neural Networks
Sergey Zagoruyko, Nikos Komodakis
arXiv (Cornell University)
|
2015
|
197 회 인용
Meta-Learning: A Survey
Joaquin Vanschoren
TU/e Research Portal
|
2018
|
197 회 인용
Multi-Task Cross-Lingual Sequence Tagging from Scratch
Zhilin Yang, Ruslan Salakhutdinov 외 1명
arXiv (Cornell University)
|
2016
|
197 회 인용
Natural Language Processing Advancements By Deep Learning: A Survey
Amirsina Torfi, Rouzbeh A. Shirvani 외 3명
arXiv (Cornell University)
|
2020
|
197 회 인용
Online and Linear-Time Attention by Enforcing Monotonic Alignments
Colin Raffel, Minh-Thang Luong 외 3명
arXiv (Cornell University)
|
2017
|
197 회 인용
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters
Hao Zhang, Zeyu Zheng 외 8명
arXiv (Cornell University)
|
2017
|
197 회 인용
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