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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
Lossy Image Compression with Compressive Autoencoders
Lucas Theis, Wenzhe Shi 외 2명
arXiv (Cornell University)
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2017
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259 회 인용
MBT: A Memory-Based Part of Speech Tagger-Generator
Walter Daelemans, Jakub Zavrel 외 2명
ArXiv.org
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1996
|
259 회 인용
Visual Saliency Based on Multiscale Deep Features
Guanbin Li, Yizhou Yu
arXiv (Cornell University)
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2015
|
259 회 인용
Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models
Daniel W. Apley, Jingyu Zhu
arXiv (Cornell University)
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2016
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259 회 인용
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
Sanjeev Arora, Hrishikesh Khandeparkar 외 3명
arXiv (Cornell University)
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2019
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258 회 인용
BAGAN: Data Augmentation with Balancing GAN
Giovanni Mariani, Florian Scheidegger 외 3명
arXiv (Cornell University)
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2018
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258 회 인용
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Jiatao Gu, Zhengdong Lu 외 2명
arXiv (Cornell University)
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2016
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258 회 인용
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Peng Wang, Yang An 외 8명
arXiv (Cornell University)
|
2022
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258 회 인용
Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks
Jason Phang, Thibault Févry 외 1명
arXiv (Cornell University)
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2018
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258 회 인용
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
Adam P. Roberts, Jesse Engel 외 3명
arXiv (Cornell University)
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2018
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257 회 인용
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