Yatin Chaudhary

According to our database, Yatin Chaudhary authored at least 11 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Federated Continual Learning for Text Classification via Selective Inter-client Transfer.

Yatin Chaudhary, Pranav Rai, Matthias Schubert, Hinrich Schütze, Pankaj Gupta

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Multi-source Neural Topic Modeling in Multi-view Embedding Spaces.

Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Neural Topic Modeling with Continual Lifelong Learning.

Pankaj Gupta, Yatin Chaudhary, Thomas A. Runkler, Hinrich Schütze

Proceedings of the 37th International Conference on Machine Learning, 2020

Explainable and Discourse Topic-aware Neural Language Understanding.

Yatin Chaudhary, Hinrich Schütze, Pankaj Gupta

Proceedings of the 37th International Conference on Machine Learning, 2020

TopicBERT for Energy Efficient Document Classification.

Yatin Chaudhary, Pankaj Gupta, Khushbu Saxena, Vivek Kulkarni, Thomas A. Runkler, Hinrich Schütze

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers.

Yatin Chaudhary, Pankaj Gupta, Thomas A. Runkler

CoRR, 2019

Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings.

Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze

CoRR, 2019

Texttovec: Deep Contextualized Neural autoregressive Topic Models of Language with Distributed Compositional Prior.

Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze

Proceedings of the 7th International Conference on Learning Representations, 2019

BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions.

Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze

Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 2019

Document Informed Neural Autoregressive Topic Models with Distributional Prior.

Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

textTOvec: Deep Contextualized Neural Autoregressive Models of Language with Distributed Compositional Prior.

Pankaj Gupta, Yatin Chaudhary, Florian Buettner, Hinrich Schütze

CoRR, 2018