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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
Amortised MAP Inference for Image Super-resolution
Casper Kaae Sønderby, J. A. Caballero 외 3명
arXiv (Cornell University)
|
2016
|
155 회 인용
An Introduction to Image Synthesis with Generative Adversarial Nets
He Huang, Philip S. Yu 외 1명
arXiv (Cornell University)
|
2018
|
155 회 인용
Debugging Backwards in Time
Bil Lewis
arXiv (Cornell University)
|
2003
|
155 회 인용
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
Siyuan Qiao, Liang-Chieh Chen 외 1명
arXiv (Cornell University)
|
2020
|
155 회 인용
Feature relevance quantification in explainable AI: A causal problem
Dominik Janzing, Lenon Minorics 외 1명
arXiv (Cornell University)
|
2019
|
155 회 인용
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks
Mingchen Li, Mahdi Soltanolkotabi 외 1명
arXiv (Cornell University)
|
2019
|
155 회 인용
Hierarchical Neural Network Generative Models for Movie Dialogues.
Iulian Vlad Serban, Alessandro Sordoni 외 3명
arXiv (Cornell University)
|
2015
|
155 회 인용
ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data
Di Qi, Lin Su 외 4명
arXiv (Cornell University)
|
2020
|
155 회 인용
Label Refinery: Improving ImageNet Classification through Label Progression
Hessam Bagherinezhad, Maxwell Horton 외 2명
arXiv (Cornell University)
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2018
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155 회 인용
Learning Spatiotemporal Features with 3D Convolutional Networks
Du Tran, Lubomir Bourdev 외 3명
arXiv (Cornell University)
|
2014
|
155 회 인용
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