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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
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Mi Luo, Fei Chen 외 4명
arXiv (Cornell University)
|
2021
|
130 회 인용
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering
Medhini Narasimhan, Svetlana Lazebnik 외 1명
arXiv (Cornell University)
|
2018
|
130 회 인용
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Xiang Yu, Tanner Schmidt 외 2명
arXiv (Cornell University)
|
2017
|
130 회 인용
Pupil: An Open Source Platform for Pervasive Eye Tracking and Mobile Gaze-based Interaction
Moritz Kassner, William Patera 외 1명
arXiv (Cornell University)
|
2014
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130 회 인용
Quantifying the Carbon Emissions of Machine Learning
Alexandre Lacoste, Alexandra Sasha Luccioni 외 2명
arXiv (Cornell University)
|
2019
|
130 회 인용
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Maxwell Nye, Anders Andreassen 외 10명
arXiv (Cornell University)
|
2021
|
130 회 인용
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning
Marvin Zhang, Sharad Vikram 외 4명
arXiv (Cornell University)
|
2018
|
130 회 인용
Symmetric quantum dots as efficient sources of highly entangled photons
Takashi Kuroda, Takaaki Mano 외 11명
arXiv (Cornell University)
|
2013
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130 회 인용
Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers
Antoine Miech, Jean-Baptiste Alayrac 외 3명
arXiv (Cornell University)
|
2021
|
130 회 인용
Training data-efficient image transformers & distillation through attention
Hugo Touvron, Matthieu Cord 외 4명
arXiv (Cornell University)
|
2020
|
130 회 인용
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