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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
MOT20: A benchmark for multi object tracking in crowded scenes
Patrick Dendorfer, Hamid Rezatofighi 외 7명
arXiv (Cornell University)
|
2020
|
510 회 인용
Large Batch Training of Convolutional Networks
Yang You, Igor Gitman 외 1명
arXiv (Cornell University)
|
2017
|
509 회 인용
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards
Matej Vecerík, Todd Hester 외 8명
arXiv (Cornell University)
|
2017
|
509 회 인용
NeRF++: Analyzing and Improving Neural Radiance Fields
Kai Zhang, Gernot Riegler 외 2명
arXiv (Cornell University)
|
2020
|
509 회 인용
Deep reinforcement learning from human preferences
Paul F. Christiano, Jan Leike 외 4명
arXiv (Cornell University)
|
2017
|
508 회 인용
Church: a language for generative models
Noah D. Goodman, Vikash K. Mansinghka 외 3명
arXiv (Cornell University)
|
2012
|
507 회 인용
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
Zekai Chen, Dingshuo Chen 외 3명
arXiv (Cornell University)
|
2021
|
507 회 인용
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory- and Model-Based Approach
David M. Pennock, Eric Horvitz 외 2명
arXiv (Cornell University)
|
2013
|
506 회 인용
Hyperledger Fabric: A Distributed Operating System for Permissioned Blockchains
Elli Androulaki, Artem Barger 외 19명
arXiv (Cornell University)
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2018
|
506 회 인용
Robust Physical-World Attacks on Deep Learning Models
Kevin Eykholt, Ivan Evtimov 외 7명
arXiv (Cornell University)
|
2017
|
506 회 인용
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