Tsendsuren Munkhdalai

Orcid: 0000-0002-8783-4993

According to our database1, Tsendsuren Munkhdalai authored at least 43 papers between 2011 and 2024.

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Bibliography

2024
Hierarchical Recurrent Adapters for Efficient Multi-Task Adaptation of Large Speech Models.
CoRR, 2024

2023
Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm.
CoRR, 2023

Improving Speech Recognition for African American English With Audio Classification.
CoRR, 2023

Discrimination Neural Network Model for Binary Classification Tasks on Tabular Data.
IEEE Access, 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

Context-Aware Neural Confidence Estimation for Rare Word Speech Recognition.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

NAM+: Towards Scalable End-to-End Contextual Biasing for Adaptive ASR.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

On-the-fly ASR Corrections with Audio Exemplars.
Proceedings of the Interspeech 2022, 2022

Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Robust Continuous On-Device Personalization for Automatic Speech Recognition.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Learning Associative Inference Using Fast Weight Memory.
Proceedings of the 9th International Conference on Learning Representations, 2021

Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP.
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

A Locally Adaptive Interpretable Regression.
CoRR, 2020

Exploring and Predicting Transferability across NLP Tasks.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks.
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

Metalearned Neural Memory.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
A Dependency Graph-Based Keyphrase Extraction Method Using Anti-patterns.
J. Inf. Process. Syst., 2018

Metalearning with Hebbian Fast Weights.
CoRR, 2018

Sentence Simplification with Memory-Augmented Neural Networks.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Rapid Adaptation with Conditionally Shifted Neurons.
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
Learning Rapid-Temporal Adaptations.
CoRR, 2017

An Analysis of Machine Learning Intelligence.
CoRR, 2017

Meta Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Reasoning with Memory Augmented Neural Networks for Language Comprehension.
Proceedings of the 5th International Conference on Learning Representations, 2017

Neural Semantic Encoders.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Neural Tree Indexers for Text Understanding.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
Citation Analysis with Neural Attention Models.
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

The CHEMDNER corpus of chemicals and drugs and its annotation principles.
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
A Feature Selection-based Ensemble Method for Arrhythmia Classification.
J. Inf. Process. Syst., 2013

2012
An Active Co-Training Algorithm for Biomedical Named-Entity Recognition.
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

Bio Named Entity Recognition Based on Co-training Algorithm.
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


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