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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
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal, Yuval Alaluf 외 5명
arXiv (Cornell University)
|
2022
|
464 회 인용
Decision Transformer: Reinforcement Learning via Sequence Modeling
Lili Chen, Kevin Lü 외 7명
arXiv (Cornell University)
|
2021
|
464 회 인용
Learning Spatial Fusion for Single-Shot Object Detection
Songtao Liu, Di Huang 외 1명
arXiv (Cornell University)
|
2019
|
464 회 인용
Fast Computation of Wasserstein Barycenters
Marco Cuturi, Randal Douc
arXiv (Cornell University)
|
2013
|
462 회 인용
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou, Shanghang Zhang 외 5명
arXiv (Cornell University)
|
2020
|
462 회 인용
Understanding Neural Networks through Representation Erasure
Jiwei Li, Will Monroe 외 1명
arXiv (Cornell University)
|
2016
|
462 회 인용
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour, Mehryar Mohri 외 1명
arXiv (Cornell University)
|
2009
|
461 회 인용
Metamorphic Testing: A New Approach for Generating Next Test Cases
Tsong Yueh Chen, Shing-Chi Cheung 외 1명
arXiv (Cornell University)
|
2020
|
461 회 인용
Variational Dropout and the Local Reparameterization Trick
Diederik P. Kingma, Tim Salimans 외 1명
UvA-DARE (University of Amsterdam)
|
2015
|
461 회 인용
Deep Exploration via Bootstrapped DQN
Ian Osband, Charles Blundell 외 2명
arXiv (Cornell University)
|
2016
|
460 회 인용
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