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Computer Science 論文レビュー
Computer Science 分野の主要論文を動機・手法・結果に構造化した AI 論文レビュー一覧です。
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Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
Yixiao Ge, Feng Zhu, +3
arXiv (Cornell University)
|
2020
|
342 citations
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
Zirui Wang, Jiahui Yu, +4
arXiv (Cornell University)
|
2021
|
342 citations
A generic framework for privacy preserving deep learning
Théo Ryffel, Andrew Trask, +5
arXiv (Cornell University)
|
2018
|
341 citations
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
Edward Choi, Siddharth Biswal, +4
arXiv (Cornell University)
|
2017
|
341 citations
Like What You Like: Knowledge Distill via Neuron Selectivity Transfer
Zehao Huang, Naiyan Wang
arXiv (Cornell University)
|
2017
|
341 citations
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler, Dan Alistarh, +3
arXiv (Cornell University)
|
2021
|
341 citations
Florence: A New Foundation Model for Computer Vision
Lu Yuan, Dongdong Chen, +21
arXiv (Cornell University)
|
2021
|
340 citations
Hello Edge: Keyword Spotting on Microcontrollers
Yundong Zhang, Naveen Suda, +2
arXiv (Cornell University)
|
2017
|
340 citations
Hyperparameter Search in Machine Learning
Marc Claesen, Bart De Moor
arXiv (Cornell University)
|
2015
|
340 citations
Multi-Task Learning as Multi-Objective Optimization
Ozan Şener
arXiv (Cornell University)
|
2018
|
340 citations
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