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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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Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
Jonas Kubilius, Martin Schrimpf, +12
arXiv (Cornell University)
|
2019
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128 citations
Class-Balanced Loss Based on Effective Number of Samples
Yin Cui, Menglin Jia, +3
arXiv (Cornell University)
|
2019
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128 citations
Decays of Supersymmetric Particles: the program SUSY-HIT (SUspect-SdecaY-Hdecay-InTerface)
A. Djouadi, Margarete Mühlleitner, +1
arXiv (Cornell University)
|
2006
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128 citations
Deep Learning applied to NLP
Marc Moreno López, Jugal Kalita
arXiv (Cornell University)
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2017
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128 citations
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang, Paul Patras, +1
arXiv (Cornell University)
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2018
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128 citations
Dimensionality-Driven Learning with Noisy Labels
Xingjun Ma, Yisen Wang, +6
arXiv (Cornell University)
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2018
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128 citations
Does Neural Machine Translation Benefit from Larger Context?
Sébastien Jean, Stanislas Lauly, +2
arXiv (Cornell University)
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2017
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128 citations
Exploiting Synergy Between Ontologies and Recommender Systems
Stuart E. Middleton, Harith Alani, +1
Open Research Online (The Open University)
|
2002
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128 citations
Fully Convolutional Attention Networks for Fine-Grained Recognition
Xiao Liu, Tian Xia, +4
arXiv (Cornell University)
|
2016
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128 citations
Gemma 2: Improving Open Language Models at a Practical Size
Gemma Team, Morgane Rivière, +196
arXiv (Cornell University)
|
2024
|
128 citations
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