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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
LSTM-based Deep Learning Models for Non-factoid Answer Selection
Ming Tan, Cícero dos Santos 외 2명
arXiv (Cornell University)
|
2015
|
403 회 인용
Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra, George Tucker 외 3명
arXiv (Cornell University)
|
2017
|
403 회 인용
Grammar as a Foreign Language
Oriol Vinyals, Łukasz Kaiser 외 4명
arXiv (Cornell University)
|
2014
|
402 회 인용
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks, Mantas Mazeika 외 1명
arXiv (Cornell University)
|
2018
|
401 회 인용
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
Wenliang Dai, Junnan Li 외 7명
arXiv (Cornell University)
|
2023
|
401 회 인용
Multi-Task Learning with Deep Neural Networks: A Survey
Michael Crawshaw
arXiv (Cornell University)
|
2020
|
401 회 인용
Mask R-CNN
Kaiming He, Georgia Gkioxari 외 2명
arXiv (Cornell University)
|
2017
|
400 회 인용
Simple and Deep Graph Convolutional Networks
Ming Chen, Zhewei Wei 외 3명
arXiv (Cornell University)
|
2020
|
399 회 인용
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov, Yonatan Bisk
arXiv (Cornell University)
|
2017
|
399 회 인용
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Yihan Cao, Siyu Li 외 5명
arXiv (Cornell University)
|
2023
|
398 회 인용
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