Search Results for author: Ngo Van Linh

Found 3 papers, 2 papers with code

Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation

no code implementations Pacific-Asia Conference on Knowledge Discovery and Data Mining 2022 Hoang Phan, Anh Phan Tuan, Son Nguyen, Ngo Van Linh, Khoat Than

Our paper studies the continual learning (CL) problems in which data comes in sequence and the trained models are expected to be capable of utilizing existing knowledge to solve new tasks without losing performance on previous ones.

Computational Efficiency Continual Learning +1

A Graph Convolutional Topic Model for Short and Noisy Text Streams

1 code implementation13 Mar 2020 Ngo Van Linh, Tran Xuan Bach, Khoat Than

In this paper, to aim at exploiting a knowledge graph effectively, we propose a novel graph convolutional topic model (GCTM) which integrates graph convolutional networks (GCN) into a topic model and a learning method which learns the networks and the topic model simultaneously for data streams.

Topic Models Word Embeddings

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