Amazon Electronic Products Network Analysis
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Updated
Jul 1, 2018 - Jupyter Notebook
Amazon Electronic Products Network Analysis
GCN transductive cross validation.
Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop
Pytorch implementation of Meta-Learned Confidence for Few-shot Learning
Object detection using SSL techniques. This is a semester project done in Summer 2021 as part of our coursework under the Faculty of Computer Science department at Otto-von-Guericke University, Magdeburg Germany.
Exploring evaluating the adversarial robustness of transductive-learning based defenses.
(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning
A GridSearchCV-like hyperparameter optimizer for clustering (no cross-validation).
(CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166
Official repository for the paper TRIDENT: Transductive Decoupled Variational Inference for Few Shot Classification
(NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297
Segmentação Semi-Supervisionada de Imagens através de Dinâmicas Coletivas em Redes Complexas
30 Semi-Supervised Learning Algorithms
Code for "Training-free Graph Neural Networks and the Power of Labels as Features" (TMLR 2024)
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