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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
Deep Learning Scaling is Predictable, Empirically
Joel Hestness, Sharan Narang 외 7명
arXiv (Cornell University)
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2017
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417 회 인용
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations
Holger R. Roth, Le Lü 외 7명
arXiv (Cornell University)
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2014
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416 회 인용
Decomposing Motion and Content for Natural Video Sequence Prediction
Ruben Villegas, Shuicheng Yan 외 3명
arXiv (Cornell University)
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2017
|
416 회 인용
Gated Feedback Recurrent Neural Networks
Jun‐Young Chung, Çaǧlar Gülçehre 외 2명
arXiv (Cornell University)
|
2015
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416 회 인용
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu, Daya Guo 외 20명
arXiv (Cornell University)
|
2021
|
415 회 인용
End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results
Jan Chorowski, Dzmitry Bahdanau 외 2명
arXiv (Cornell University)
|
2014
|
415 회 인용
Self-Supervised Graph Transformer on Large-Scale Molecular Data
Yu Rong, Yatao Bian 외 5명
arXiv (Cornell University)
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2020
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415 회 인용
Exploring Simple Siamese Representation Learning
Xinlei Chen, Kaiming He
arXiv (Cornell University)
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2020
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414 회 인용
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D. Kulkarni, Karthik Narasimhan 외 2명
arXiv (Cornell University)
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2016
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414 회 인용
Machine Comprehension Using Match-LSTM and Answer Pointer
Shuohang Wang, Jing Jiang
arXiv (Cornell University)
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2016
|
414 회 인용
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