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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
CCNet: Criss-Cross Attention for Semantic Segmentation
Zilong Huang, Xinggang Wang 외 5명
arXiv (Cornell University)
|
2018
|
349 회 인용
ConvNet Architecture Search for Spatiotemporal Feature Learning
Du Tran, Jamie Ray 외 3명
arXiv (Cornell University)
|
2017
|
349 회 인용
Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case
Neo Wu, Bradley Green 외 2명
arXiv (Cornell University)
|
2020
|
349 회 인용
Foolbox v0.8.0: A Python toolbox to benchmark the robustness of machine learning models
Jonas Rauber, Wieland Brendel 외 1명
arXiv (Cornell University)
|
2017
|
349 회 인용
Learning Activation Functions to Improve Deep Neural Networks
Forest Agostinelli, Matthew D. Hoffman 외 2명
arXiv (Cornell University)
|
2014
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349 회 인용
Near-optimal Nonmyopic Value of Information in Graphical Models
Andreas Krause, Carlos Guestrin
arXiv (Cornell University)
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2012
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349 회 인용
PaLM-E: An Embodied Multimodal Language Model
Danny Driess, Fei Xia 외 20명
arXiv (Cornell University)
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2023
|
349 회 인용
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence
Chi Sun, Luyao Huang 외 1명
arXiv (Cornell University)
|
2019
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349 회 인용
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation
Yufei Xu, Jing Zhang 외 2명
arXiv (Cornell University)
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2022
|
349 회 인용
DeepViT: Towards Deeper Vision Transformer
Daquan Zhou, Bingyi Kang 외 6명
arXiv (Cornell University)
|
2021
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348 회 인용
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