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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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Challenges in Representation Learning: A report on three machine learning contests
Ian Goodfellow, Dumitru Erhan, +26
arXiv (Cornell University)
|
2013
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103 citations
Comparative Study of Caffe, Neon, Theano, and Torch for Deep Learning
Soheil Bahrampour, Naveen Ramakrishnan, +2
arXiv (Cornell University)
|
2015
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103 citations
Convergence Rate of Frank-Wolfe for Non-Convex Objectives
Simon Lacoste-Julien
arXiv (Cornell University)
|
2016
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103 citations
Data-Free Adversarial Distillation
Gongfan Fang, Jie Song, +4
arXiv (Cornell University)
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2019
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103 citations
Decomposing NeRF for Editing via Feature Field Distillation
Sosuke Kobayashi, Eiichi Matsumoto, +1
arXiv (Cornell University)
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2022
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103 citations
Deep Learning Face Attributes in the Wild
Ziwei Liu, Ping Luo, +2
arXiv (Cornell University)
|
2014
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103 citations
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
Yizhe Zhang, Siqi Sun, +7
arXiv (Cornell University)
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2019
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103 citations
Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4
Hanmeng Liu, Ruoxi Ning, +4
arXiv (Cornell University)
|
2023
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103 citations
Evaluation of sentence embeddings in downstream and linguistic probing tasks
Christian S. Perone, Roberto Pereira Silveira, +1
arXiv (Cornell University)
|
2018
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103 citations
Exploring the Attack Surface of Blockchain: A Systematic Overview
Muhammad Saad, Jeffrey Spaulding, +5
arXiv (Cornell University)
|
2019
|
103 citations
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