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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
Vision Meets Drones: A Challenge
Pengfei Zhu, Longyin Wen 외 3명
arXiv (Cornell University)
|
2018
|
331 회 인용
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini, David Wagner
arXiv (Cornell University)
|
2017
|
330 회 인용
Deep Image: Scaling up Image Recognition
Wu Ren, Shengen Yan 외 3명
arXiv (Cornell University)
|
2015
|
330 회 인용
Dissecting Ponzi schemes on Ethereum: identification, analysis, and impact
Massimo Bartoletti, Salvatore Carta 외 2명
arXiv (Cornell University)
|
2017
|
330 회 인용
Professor Forcing: A New Algorithm for Training Recurrent Networks
Alex Lamb, Anirudh Goyal 외 4명
arXiv (Cornell University)
|
2016
|
330 회 인용
TRAINING DEEP NEURAL NETWORKS ON NOISY LABELS WITH BOOTSTRAPPING
Scott Reed, Honglak Lee 외 4명
arXiv (Cornell University)
|
2015
|
330 회 인용
Types of Cost in Inductive Concept Learning
Peter D. Turney
ArXiv.org
|
2002
|
330 회 인용
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection
Joakim Nivre, Marie-Catherine de Marneffe 외 7명
arXiv (Cornell University)
|
2020
|
330 회 인용
Visual Semantic Role Labeling
Saurabh Gupta, Jitendra Malik
arXiv (Cornell University)
|
2015
|
330 회 인용
Enriching Location Representation with Detailed Semantic Information
Muehlburger, Herbert, Wotawa, Franz
arXiv (Cornell University)
|
2024
|
329 회 인용
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