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