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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
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
Krishna Pillutla, Swabha Swayamdipta 외 5명
arXiv (Cornell University)
|
2021
|
91 회 인용
Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network
Misha Denil, Alban Demiraj 외 3명
arXiv (Cornell University)
|
2014
|
91 회 인용
On the Utility of Learning about Humans for Human-AI Coordination
Micah Carroll, Rohin Shah 외 5명
arXiv (Cornell University)
|
2019
|
91 회 인용
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence
Keze Wang, Liang Lin 외 3명
arXiv (Cornell University)
|
2015
|
91 회 인용
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks
Nathan Siegle Hartmann, Erick Fonseca 외 4명
arXiv (Cornell University)
|
2017
|
91 회 인용
SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth
John McCormac, Ankur Handa 외 2명
ArXiv.org
|
2016
|
91 회 인용
Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A Survey
Purathani Praitheeshan, Lei Pan 외 3명
arXiv (Cornell University)
|
2019
|
91 회 인용
Self-Critical Reasoning for Robust Visual Question Answering
Jialin Wu, Raymond J. Mooney
arXiv (Cornell University)
|
2019
|
91 회 인용
Self-supervised Image Enhancement Network: Training with Low Light Images Only
Yu Zhang, Xiaoguang Di 외 2명
arXiv (Cornell University)
|
2020
|
91 회 인용
SLEUTH: Real-time Attack Scenario Reconstruction from COTS Audit Data
Nahid Hossain, Sadegh M. Milajerdi 외 6명
arXiv (Cornell University)
|
2018
|
91 회 인용
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