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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
Compositional Morphology for Word Representations and Language Modelling
Jan A. Botha, Phil Blunsom
arXiv (Cornell University)
|
2014
|
150 회 인용
Distributed Deep Learning Using Synchronous Stochastic Gradient Descent
Dipankar Das, Sasikanth Avancha 외 6명
arXiv (Cornell University)
|
2016
|
150 회 인용
DPatch: An Adversarial Patch Attack on Object Detectors
Xin Liu, Huanrui Yang 외 4명
arXiv (Cornell University)
|
2018
|
150 회 인용
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
Jishnu Mukhoti, Yarin Gal
arXiv (Cornell University)
|
2018
|
150 회 인용
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach
Tim Pearce, Mohamed Zaki 외 2명
arXiv (Cornell University)
|
2018
|
150 회 인용
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks
Wenhui Wang, Hangbo Bao 외 9명
arXiv (Cornell University)
|
2022
|
150 회 인용
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
Ritchie Zhao, Yuwei Hu 외 3명
arXiv (Cornell University)
|
2019
|
150 회 인용
Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions
Marcin Junczys-Dowmunt, Tomasz Dwojak 외 1명
arXiv (Cornell University)
|
2016
|
150 회 인용
Learning Conditioned Graph Structures for Interpretable Visual Question Answering
Will Norcliffe-Brown, Efstathios Vafeias 외 1명
arXiv (Cornell University)
|
2018
|
150 회 인용
Metaverse for Social Good: A University Campus Prototype
Haihan Duan, Jiaye Li 외 4명
arXiv (Cornell University)
|
2021
|
150 회 인용
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