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Computer Science 论文解读
Computer Science 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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9999+ results
Implicit Quantile Networks for Distributional Reinforcement Learning
Will Dabney, Georg Ostrovski, +2
arXiv (Cornell University)
|
2018
|
197 citations
K-Net: Towards Unified Image Segmentation
Wenwei Zhang, Jiangmiao Pang, +2
arXiv (Cornell University)
|
2021
|
197 citations
Learning Factorized Multimodal Representations
Yao-Hung Hubert Tsai, Paul Pu Liang, +3
arXiv (Cornell University)
|
2018
|
197 citations
Learning the Number of Neurons in Deep Networks
José M. Alvarez, Mathieu Salzmann
arXiv (Cornell University)
|
2016
|
197 citations
Learning to Compare Image Patches via Convolutional Neural Networks
Sergey Zagoruyko, Nikos Komodakis
arXiv (Cornell University)
|
2015
|
197 citations
Meta-Learning: A Survey
Joaquin Vanschoren
TU/e Research Portal
|
2018
|
197 citations
Multi-Task Cross-Lingual Sequence Tagging from Scratch
Zhilin Yang, Ruslan Salakhutdinov, +1
arXiv (Cornell University)
|
2016
|
197 citations
Natural Language Processing Advancements By Deep Learning: A Survey
Amirsina Torfi, Rouzbeh A. Shirvani, +3
arXiv (Cornell University)
|
2020
|
197 citations
Online and Linear-Time Attention by Enforcing Monotonic Alignments
Colin Raffel, Minh-Thang Luong, +3
arXiv (Cornell University)
|
2017
|
197 citations
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters
Hao Zhang, Zeyu Zheng, +8
arXiv (Cornell University)
|
2017
|
197 citations
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