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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
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Zhenguo Li, Fengwei Zhou 외 2명
arXiv (Cornell University)
|
2017
|
839 회 인용
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Chien-Yao Wang, Alexey Bochkovskiy 외 1명
arXiv (Cornell University)
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2022
|
834 회 인용
Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying, Jiaxuan You 외 4명
arXiv (Cornell University)
|
2018
|
833 회 인용
Image Segmentation in Video Sequences: A Probabilistic Approach
Nir Friedman, Stuart Russell
arXiv (Cornell University)
|
2013
|
830 회 인용
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
Wenjie Luo, Yujia Li 외 2명
arXiv (Cornell University)
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2017
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823 회 인용
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
Leslie N. Smith
arXiv (Cornell University)
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2018
|
822 회 인용
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Junnan Li, Ramprasaath R. Selvaraju 외 4명
arXiv (Cornell University)
|
2021
|
822 회 인용
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar, Jian Zhang 외 2명
arXiv (Cornell University)
|
2016
|
822 회 인용
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Mohammad Shoeybi, Mostofa Patwary 외 4명
arXiv (Cornell University)
|
2019
|
821 회 인용
Voice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) Techniques
Lindasalwa Muda, M. Humrosia Begam 외 1명
arXiv (Cornell University)
|
2010
|
821 회 인용
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