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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
Surprise-Based Intrinsic Motivation for Deep Reinforcement Learning
Joshua Achiam, S. Shankar Sastry
arXiv (Cornell University)
|
2017
|
100 회 인용
Survey on the attention based RNN model and its applications in computer vision
Feng Wang, David M. J. Tax
arXiv (Cornell University)
|
2016
|
100 회 인용
The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation
Sergi Caelles, Jordi Pont-Tuset 외 4명
arXiv (Cornell University)
|
2019
|
100 회 인용
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning
Tailai Wen, Roy Keyes
arXiv (Cornell University)
|
2019
|
100 회 인용
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
Jonathan H. Clark, Eunsol Choi 외 5명
arXiv (Cornell University)
|
2020
|
100 회 인용
Unifying Graph Convolutional Neural Networks and Label Propagation
Hongwei Wang, Jure Leskovec
arXiv (Cornell University)
|
2020
|
100 회 인용
Unifying Large Language Models and Knowledge Graphs: A Roadmap
Shirui Pan, Linhao Luo 외 4명
arXiv (Cornell University)
|
2023
|
100 회 인용
Untrimmed Video Classification for Activity Detection: submission to ActivityNet Challenge
Gurkirt Singh, Fabio Cuzzolin
arXiv (Cornell University)
|
2016
|
100 회 인용
Wavelet Convolutional Neural Networks for Texture Classification
Shin Fujieda, Kohei Takayama 외 1명
arXiv (Cornell University)
|
2017
|
100 회 인용
Zero-Shot Learning -- The Good, the Bad and the Ugly
Yongqin Xian, Bernt Schiele 외 1명
arXiv (Cornell University)
|
2017
|
100 회 인용
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