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Computer Science 論文レビュー
Computer Science 分野の主要論文を動機・手法・結果に構造化した AI 論文レビュー一覧です。
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LSTM-based Deep Learning Models for Non-factoid Answer Selection
Ming Tan, Cícero dos Santos, +2
arXiv (Cornell University)
|
2015
|
403 citations
Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra, George Tucker, +3
arXiv (Cornell University)
|
2017
|
403 citations
Grammar as a Foreign Language
Oriol Vinyals, Łukasz Kaiser, +4
arXiv (Cornell University)
|
2014
|
402 citations
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks, Mantas Mazeika, +1
arXiv (Cornell University)
|
2018
|
401 citations
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
Wenliang Dai, Junnan Li, +7
arXiv (Cornell University)
|
2023
|
401 citations
Multi-Task Learning with Deep Neural Networks: A Survey
Michael Crawshaw
arXiv (Cornell University)
|
2020
|
401 citations
Mask R-CNN
Kaiming He, Georgia Gkioxari, +2
arXiv (Cornell University)
|
2017
|
400 citations
Simple and Deep Graph Convolutional Networks
Ming Chen, Zhewei Wei, +3
arXiv (Cornell University)
|
2020
|
399 citations
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov, Yonatan Bisk
arXiv (Cornell University)
|
2017
|
399 citations
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Yihan Cao, Siyu Li, +5
arXiv (Cornell University)
|
2023
|
398 citations
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