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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
Blockchain in Global Supply Chains and Cross Border Trade: A Critical Synthesis of the State-of-the-Art, Challenges and Opportunities
Yanling Chang, Eleftherios Iakovou 외 1명
arXiv (Cornell University)
|
2019
|
116 회 인용
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Wenyi Hong, Ming Ding 외 3명
arXiv (Cornell University)
|
2022
|
116 회 인용
Combinatorial Optimization by Learning and Simulation of Bayesian Networks
Pedro Larrañaga, Ramón Etxeberria 외 2명
arXiv (Cornell University)
|
2013
|
116 회 인용
Cross-Scale Internal Graph Neural Network for Image Super-Resolution
Shangchen Zhou, Jiawei Zhang 외 2명
arXiv (Cornell University)
|
2020
|
116 회 인용
DeepMath - Deep Sequence Models for Premise Selection
Alex Alemi, François Chollet 외 4명
arXiv (Cornell University)
|
2016
|
116 회 인용
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory
Hao Zhou, Minlie Huang 외 3명
arXiv (Cornell University)
|
2017
|
116 회 인용
eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys
Joshua Saxe, Konstantin Berlin
arXiv (Cornell University)
|
2017
|
116 회 인용
Fine-tune Bert for DocRED with Two-step Process
Hong Wang, Christfried Focke 외 3명
arXiv (Cornell University)
|
2019
|
116 회 인용
Hierarchical Recurrent Attention Network for Response Generation
Xing Chen, Wei Wu 외 4명
arXiv (Cornell University)
|
2017
|
116 회 인용
Hierarchically Structured Meta-learning
Huaxiu Yao, Ying Wei 외 2명
arXiv (Cornell University)
|
2019
|
116 회 인용
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