Tsendsuren Munkhdalai
Orcid: 0000-0002-8783-4993
According to our database1,
Tsendsuren Munkhdalai
authored at least 49 papers
between 2011 and 2024.
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Bibliography
2024
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention.
CoRR, 2024
Hierarchical Recurrent Adapters for Efficient Multi-Task Adaptation of Large Speech Models.
CoRR, 2024
Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024
A Comparison of Parameter-Efficient ASR Domain Adaptation Methods for Universal Speech and Language Models.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
IEEE Access, 2023
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Re-investigating the Efficient Transfer Learning of Speech Foundation Model using Feature Fusion Methods.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
2022
Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-Series Forecasting.
IEEE Access, 2022
Internal Language Model Personalization of E2E Automatic Speech Recognition Using Random Encoder Features.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022
Proceedings of the IEEE Spoken Language Technology Workshop, 2022
Proceedings of the IEEE Spoken Language Technology Workshop, 2022
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
GEV-NN: A deep neural network architecture for class imbalance problem in binary classification.
Knowl. Based Syst., 2020
Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling.
CoRR, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
2019
Mixture of Activation Functions With Extended Min-Max Normalization for Forex Market Prediction.
IEEE Access, 2019
An End-to-End Adaptive Input Selection With Dynamic Weights for Forecasting Multivariate Time Series.
IEEE Access, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
J. Inf. Process. Syst., 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017
2016
Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis, 2016
2015
Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations.
J. Cheminformatics, 2015
J. Cheminformatics, 2015
Self-training in significance space of support vectors for imbalanced biomedical event data.
BMC Bioinform., 2015
Towards a Unified Named Entity Recognition System - Disease Mention Identification.
Proceedings of the BIOINFORMATICS 2015, 2015
2013
J. Inf. Process. Syst., 2013
2012
J. Inf. Process. Syst., 2012
A Self-training with Active Example Selection Criterion for Biomedical Named Entity Recognition.
Proceedings of the Convergence and Hybrid Information Technology, 2012
Proceedings of the 26th International Conference on Advanced Information Networking and Applications Workshops, 2012
2011
BFSM: Finite state machine learned as name boundary definer for bio named entity recognition.
Proceedings of the 3rd International Conference on Awareness Science and Technology, 2011