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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
Uncertainty-Aware Reinforcement Learning for Collision Avoidance
Gregory Kahn, Adam Villaflor 외 3명
arXiv (Cornell University)
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2017
|
226 회 인용
Go-Explore: a New Approach for Hard-Exploration Problems
Adrien Ecoffet, Joost Huizinga 외 3명
arXiv (Cornell University)
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2019
|
225 회 인용
Overcoming catastrophic forgetting with hard attention to the task
Joan Serrà, Dídac Surís 외 2명
RECERCAT (Consorci de Serveis Universitaris de Catalunya)
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2018
|
225 회 인용
Recipe for a General, Powerful, Scalable Graph Transformer
Ladislav Rampášek, Mikhail Galkin 외 4명
arXiv (Cornell University)
|
2022
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225 회 인용
Scaling SGD Batch Size to 32K for ImageNet Training.
Yang You, Igor Gitman 외 1명
arXiv (Cornell University)
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2017
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225 회 인용
Some Improvements on Deep Convolutional Neural Network Based Image Classification
Andrew Howard
arXiv (Cornell University)
|
2013
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225 회 인용
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
Hangbo Bao, Li Dong 외 9명
arXiv (Cornell University)
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2020
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225 회 인용
A Comprehensive Survey on Cross-modal Retrieval
Kaiye Wang, Qiyue Yin 외 3명
arXiv (Cornell University)
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2016
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224 회 인용
An Actor-Critic Algorithm for Sequence Prediction
Dzmitry Bahdanau, Philémon Brakel 외 6명
arXiv (Cornell University)
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2016
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224 회 인용
DAGs with NO TEARS: Continuous Optimization for Structure Learning
Xun Zheng, Bryon Aragam 외 2명
arXiv (Cornell University)
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2018
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224 회 인용
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