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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
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning
Arsenii Ashukha, Alexander Lyzhov 외 2명
arXiv (Cornell University)
|
2020
|
111 회 인용
Playing FPS Games with Deep Reinforcement Learning
Guillaume Lample, Devendra Singh Chaplot
arXiv (Cornell University)
|
2016
|
111 회 인용
Representation Learning: A Review and New Perspectives
Yoshua Bengio, Aaron Courville 외 1명
arXiv (Cornell University)
|
2012
|
111 회 인용
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Huan Zhang, Hongge Chen 외 5명
arXiv (Cornell University)
|
2020
|
111 회 인용
RPC: A Large-Scale Retail Product Checkout Dataset
Xiu-Shen Wei, Quan Cui 외 3명
arXiv (Cornell University)
|
2019
|
111 회 인용
Self-supervised Learning on Graphs: Deep Insights and New Direction
Wei Jin, Tyler Derr 외 5명
arXiv (Cornell University)
|
2020
|
111 회 인용
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue
Byeongchang Kim, Jae-Woo Ahn 외 1명
arXiv (Cornell University)
|
2020
|
111 회 인용
Single-Shot Refinement Neural Network for Object Detection
Shifeng Zhang, Longyin Wen 외 3명
arXiv (Cornell University)
|
2017
|
111 회 인용
Social Browsing on Flickr
Kristina Lerman, Laurie A Jones
ArXiv.org
|
2006
|
111 회 인용
Sound-Proof: Usable Two-Factor Authentication Based on Ambient Sound
Nikolaos Karapanos, Claudio Marforio 외 2명
arXiv (Cornell University)
|
2015
|
111 회 인용
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