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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
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
Yan Zeng, Xinsong Zhang 외 1명
arXiv (Cornell University)
|
2021
|
96 회 인용
Multimodal Chain-of-Thought Reasoning in Language Models
Zhuosheng Zhang, Aston Zhang 외 4명
arXiv (Cornell University)
|
2023
|
96 회 인용
Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Recurrent Neural Network
Peilu Wang, Yao Qian 외 3명
arXiv (Cornell University)
|
2015
|
96 회 인용
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
Thijs Vogels, Sai Praneeth Karimireddy 외 1명
arXiv (Cornell University)
|
2019
|
96 회 인용
PP-LCNet: A Lightweight CPU Convolutional Neural Network
Cheng Cui, Tingquan Gao 외 11명
arXiv (Cornell University)
|
2021
|
96 회 인용
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo
Yu-Xiang Wang, Stephen E. Fienberg 외 1명
arXiv (Cornell University)
|
2015
|
96 회 인용
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu, Maithra Raghu 외 2명
arXiv (Cornell University)
|
2019
|
96 회 인용
RenderNet: A deep convolutional network for differentiable rendering from 3D shapes
Thu Nguyen-Phuoc, Chuan Li 외 2명
arXiv (Cornell University)
|
2018
|
96 회 인용
Residual Flows for Invertible Generative Modeling
Ricky T. Q. Chen, Jens Behrmann 외 2명
arXiv (Cornell University)
|
2019
|
96 회 인용
Review of Functional Data Analysis
Jane-Ling Wang, Jeng‐Min Chiou 외 1명
arXiv (Cornell University)
|
2015
|
96 회 인용
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