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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
Efficient DETR: Improving End-to-End Object Detector with Dense Prior
Zhuyu Yao, Jiangbo Ai 외 2명
arXiv (Cornell University)
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2021
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157 회 인용
GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference
Ali Hadi Zadeh, Isak Edo 외 2명
arXiv (Cornell University)
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2020
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157 회 인용
Long-term Forecasting with TiDE: Time-series Dense Encoder
Abhimanyu Das, Weihao Kong 외 4명
arXiv (Cornell University)
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2023
|
157 회 인용
On Adversarial Examples for Character-Level Neural Machine Translation
Javid Ebrahimi, Daniel Lowd 외 1명
arXiv (Cornell University)
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2018
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157 회 인용
On weight initialization in deep neural networks
Siddharth Krishna Kumar
arXiv (Cornell University)
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2017
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157 회 인용
Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests
Lucas Mentch, Giles Hooker
arXiv (Cornell University)
|
2014
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157 회 인용
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification
Tao Hu, Honggang Qi 외 2명
arXiv (Cornell University)
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2019
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157 회 인용
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang, Vivek Rathod 외 9명
arXiv (Cornell University)
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2016
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157 회 인용
Supervised Discrete Hashing
Fumin Shen, Chunhua Shen 외 2명
arXiv (Cornell University)
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2015
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157 회 인용
The Deepfake Detection Challenge (DFDC) Preview Dataset
Brian Dolhansky, Russ Howes 외 3명
arXiv (Cornell University)
|
2019
|
157 회 인용
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