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