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논문[2]
#2. Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation Understanding semantic layout of images with minimum human supervision
2017.11 · IEEE SIGNAL PROCESSING MAGAZINE
(DOI) https://doi.org/10.1109/MSP.2017.2742558
#1. Joint Image Clustering and Labeling by Matrix Factorization
2016.7 · IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(DOI) https://doi.org/10.1109/TPAMI.2015.2487982
발표[26]
#26. Multi-View Representation Learning via Total Correlation Objective
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021)
2021.12
#25. Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021)
2021.12
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