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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
MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos
Amir Zadeh, Rowan Zellers 외 2명
arXiv (Cornell University)
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2016
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344 회 인용
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang, Rein Houthooft 외 7명
arXiv (Cornell University)
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2016
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343 회 인용
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
Xiao-Jiao Mao, Chunhua Shen 외 1명
arXiv (Cornell University)
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2016
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343 회 인용
Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes
Anthony R. Cassandra, Michael L. Littman 외 1명
arXiv (Cornell University)
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2013
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343 회 인용
Normalizing Flows for Probabilistic Modeling and Inference
George Papamakarios, Eric Nalisnick 외 3명
arXiv (Cornell University)
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2019
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343 회 인용
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
Aäron van den Oord, Yazhe Li 외 20명
arXiv (Cornell University)
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2017
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343 회 인용
SentEval: An Evaluation Toolkit for Universal Sentence Representations
Alexis Conneau, Douwe Kiela
arXiv (Cornell University)
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2018
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343 회 인용
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Dan Hendrycks, Mantas Mazeika 외 2명
arXiv (Cornell University)
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2019
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343 회 인용
Boosting Trees for Anti-Spam Email Filtering
Xavier Carreras, Lluı́s Màrquez
ArXiv.org
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2001
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342 회 인용
Fine-tuned Language Models for Text Classification.
Jeremy Howard, Sebastian Ruder
arXiv (Cornell University)
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2018
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342 회 인용
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