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10/12/2022
Federated Continual Learning for Text Classification via Selective Inter-client Transfer
In this work, we combine the two paradigms: Federated Learning (FL) and ...
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04/17/2021
Multi-source Neural Topic Modeling in Multi-view Embedding Spaces
Though word embeddings and topics are complementary representations, sev...
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06/19/2020
Neural Topic Modeling with Continual Lifelong Learning
Lifelong learning has recently attracted attention in building machine l...
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06/18/2020
Explainable and Discourse Topic-aware Neural Language Understanding
Marrying topic models and language models exposes language understanding...
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10/01/2019
BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions
This paper presents our system details and results of participation in t...
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09/29/2019
Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers
Topic models such as LDA, DocNADE, iDocNADEe have been popular in docume...
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09/14/2019
Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings
Though word embeddings and topics are complementary representations, sev...
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09/14/2019
Multi-view and Multi-source Transfers in Neural Topic Modeling
Though word embeddings and topics are complementary representations, sev...
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10/09/2018
textTOvec: Deep Contextualized Neural Autoregressive Topic Models of Language with Distributed Compositional Prior
We address two challenges of probabilistic topic modelling in order to b...
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10/09/2018
textTOvec: Deep Contextualized Neural Autoregressive Models of Language with Distributed Compositional Prior
We address two challenges of probabilistic topic modelling in order to b...
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09/15/2018