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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 Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
Wei Ping, Kainan Peng 외 6명
arXiv (Cornell University)
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2017
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264 회 인용
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Yongliang Shen, Kaitao Song 외 4명
arXiv (Cornell University)
|
2023
|
264 회 인용
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Yulun Zhang, Kunpeng Li 외 4명
arXiv (Cornell University)
|
2018
|
264 회 인용
LQR-based coupling gain for synchronization of linear systems
S. Emre Tuna
ArXiv.org
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2008
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264 회 인용
Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks
Nils Reimers, Iryna Gurevych
arXiv (Cornell University)
|
2017
|
264 회 인용
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
Jesse Dodge, Gabriel Ilharco 외 4명
arXiv (Cornell University)
|
2020
|
263 회 인용
Hyperbolic Graph Convolutional Neural Networks
Ines Chami, Rex Ying 외 2명
arXiv (Cornell University)
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2019
|
263 회 인용
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann, Julien Martel 외 3명
arXiv (Cornell University)
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2020
|
263 회 인용
Learning with a Strong Adversary
Ruitong Huang, Bing Xu 외 2명
arXiv (Cornell University)
|
2015
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263 회 인용
Lecture Notes on Network Information Theory
Abbas El Gamal, Young-Han Kim
arXiv (Cornell University)
|
2010
|
263 회 인용
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