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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
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
Been Kim, Martin Wattenberg 외 5명
arXiv (Cornell University)
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2017
|
732 회 인용
A Universal Part-of-Speech Tagset
Slav Petrov, Dipanjan Das 외 1명
arXiv (Cornell University)
|
2011
|
731 회 인용
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Taek‐Soo Kim, Moonsu Cha 외 3명
arXiv (Cornell University)
|
2017
|
731 회 인용
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Sachin Mehta, Mohammad Rastegari
arXiv (Cornell University)
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2021
|
727 회 인용
Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren, Eleni Triantafillou 외 6명
arXiv (Cornell University)
|
2018
|
726 회 인용
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu, Chengtao Li 외 4명
arXiv (Cornell University)
|
2018
|
726 회 인용
Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales
Bo Pang, Lillian Lee
ArXiv.org
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2005
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726 회 인용
Skip-Thought Vectors
Ryan Kiros, Yukun Zhu 외 5명
arXiv (Cornell University)
|
2015
|
725 회 인용
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
Andrej Karpathy, Armand Joulin 외 1명
arXiv (Cornell University)
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2014
|
723 회 인용
Adversarial Feature Learning
Jeff Donahue, Philipp Krähenbühl 외 1명
arXiv (Cornell University)
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2016
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721 회 인용
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