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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
Artificial Intelligence and Statistics
Bin Yu, Karl Kumbier
arXiv (Cornell University)
|
2017
|
358 회 인용
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis
Hu Xu, Bing Liu 외 2명
arXiv (Cornell University)
|
2019
|
358 회 인용
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models
Ashwin K. Vijayakumar, Michael Cogswell 외 5명
arXiv (Cornell University)
|
2016
|
358 회 인용
VMamba: Visual State Space Model
Yue Liu, Yunjie Tian 외 7명
arXiv (Cornell University)
|
2024
|
358 회 인용
A Closer Look at Memorization in Deep Networks
Devansh Arpit, Stanisław Jastrzȩbski 외 9명
arXiv (Cornell University)
|
2017
|
357 회 인용
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He, Songze Li 외 18명
arXiv (Cornell University)
|
2020
|
357 회 인용
Predictive Uncertainty Estimation via Prior Networks
Andrey Malinin, Mark Gales
arXiv (Cornell University)
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2018
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357 회 인용
Variational Relevance Vector Machines
Chris Bishop, Michael E. Tipping
arXiv (Cornell University)
|
2013
|
357 회 인용
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
arXiv (Cornell University)
|
2016
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357 회 인용
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
Rajarshi Das, Shehzaad Dhuliawala 외 6명
arXiv (Cornell University)
|
2017
|
356 회 인용
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