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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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Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
Been Kim, Martin Wattenberg, +5
arXiv (Cornell University)
|
2017
|
732 citations
A Universal Part-of-Speech Tagset
Slav Petrov, Dipanjan Das, +1
arXiv (Cornell University)
|
2011
|
731 citations
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Taek‐Soo Kim, Moonsu Cha, +3
arXiv (Cornell University)
|
2017
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731 citations
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Sachin Mehta, Mohammad Rastegari
arXiv (Cornell University)
|
2021
|
727 citations
Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren, Eleni Triantafillou, +6
arXiv (Cornell University)
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2018
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726 citations
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu, Chengtao Li, +4
arXiv (Cornell University)
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2018
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726 citations
Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales
Bo Pang, Lillian Lee
ArXiv.org
|
2005
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726 citations
Skip-Thought Vectors
Ryan Kiros, Yukun Zhu, +5
arXiv (Cornell University)
|
2015
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725 citations
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
Andrej Karpathy, Armand Joulin, +1
arXiv (Cornell University)
|
2014
|
723 citations
Adversarial Feature Learning
Jeff Donahue, Philipp Krähenbühl, +1
arXiv (Cornell University)
|
2016
|
721 citations
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