Tsendsuren Munkhdalai

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 56

Top Topics

Binary Classification

Speech Recognition

Top Venues

Publications

Tsendsuren Munkhdalai, Youzheng Chen, Khe Chai Sim, Fadi Biadsy, Tara N. Sainath, Pedro Moreno Mengibar
Hierarchical Recurrent Adapters for Efficient Multi-Task Adaptation of Large Speech Models. CoRR (2024)
Tsendsuren Munkhdalai, Manaal Faruqui, Siddharth Gopal
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention. CoRR (2024)
Zelin Wu, Gan Song, Christopher Li, Pat Rondon, Zhong Meng, Xavier Velez, Weiran Wang, Diamantino Caseiro, Golan Pundak, Tsendsuren Munkhdalai, Angad Chandorkar, Rohit Prabhavalkar
Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR. CoRR (2024)
Shefali Garg, Zhouyuan Huo, Khe Chai Sim, Suzan Schwartz, Mason Chua, Alëna Aksënova, Tsendsuren Munkhdalai, Levi King, Darryl Wright, Zion Mengesha, Dongseong Hwang, Tara N. Sainath, Françoise Beaufays, Pedro Moreno Mengibar
Improving Speech Recognition for African American English with Audio Classification. ICASSP (2024)
Khe Chai Sim, Zhouyuan Huo, Tsendsuren Munkhdalai, Nikhil Siddhartha, Adam Stooke, Zhong Meng, Bo Li, Tara N. Sainath
A Comparison of Parameter-Efficient ASR Domain Adaptation Methods for Universal Speech and Language Models. ICASSP (2024)
Zhouyuan Huo, Khe Chai Sim, Dongseong Hwang, Tsendsuren Munkhdalai, Tara N. Sainath, Pedro Moreno Mengibar
Re-investigating the Efficient Transfer Learning of Speech Foundation Model using Feature Fusion Methods. INTERSPEECH (2023)
Weiran Wang, Zelin Wu, Diamantino Caseiro, Tsendsuren Munkhdalai, Khe Chai Sim, Pat Rondon, Golan Pundak, Gan Song, Rohit Prabhavalkar, Zhong Meng, Ding Zhao, Tara N. Sainath, Pedro Moreno Mengibar
Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. CoRR (2023)
Zelin Wu, Tsendsuren Munkhdalai, Pat Rondon, Golan Pundak, Khe Chai Sim, Christopher Li
Dual-Mode NAM: Effective Top-K Context Injection for End-to-End ASR. INTERSPEECH (2023)
Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Jang-Eui Hong, Van Huy Pham, Nipon Theera-Umpon, Keun Ho Ryu
Discrimination Neural Network Model for Binary Classification Tasks on Tabular Data. IEEE Access 11 (2023)
Shefali Garg, Zhouyuan Huo, Khe Chai Sim, Suzan Schwartz, Mason Chua, Alëna Aksënova, Tsendsuren Munkhdalai, Levi King, Darryl Wright, Zion Mengesha, Dongseong Hwang, Tara N. Sainath, Françoise Beaufays, Pedro Moreno Mengibar
Improving Speech Recognition for African American English With Audio Classification. CoRR (2023)
Golan Pundak, Tsendsuren Munkhdalai, Khe Chai Sim
On-the-fly ASR Corrections with Audio Exemplars. INTERSPEECH (2022)
Tsendsuren Munkhdalai, Khe Chai Sim, Angad Chandorkar, Fan Gao, Mason Chua, Trevor Strohman, Françoise Beaufays
Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition. ICASSP (2022)
Adam Stooke, Khe Chai Sim, Mason Chua, Tsendsuren Munkhdalai, Trevor Strohman
Internal Language Model Personalization of E2E Automatic Speech Recognition Using Random Encoder Features. SLT (2022)
Tsendsuren Munkhdalai, Zelin Wu, Golan Pundak, Khe Chai Sim, Jiayang Li, Pat Rondon, Tara N. Sainath
NAM+: Towards Scalable End-to-End Contextual Biasing for Adaptive ASR. SLT (2022)
Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Van Huy Pham, Meijing Li, Keun Ho Ryu, Nipon Theera-Umpon
Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-Series Forecasting. IEEE Access 10 (2022)
David Qiu, Tsendsuren Munkhdalai, Yanzhang He, Khe Chai Sim
Context-Aware Neural Confidence Estimation for Rare Word Speech Recognition. SLT (2022)
Trapit Bansal, Karthick Prasad Gunasekaran, Tong Wang, Tsendsuren Munkhdalai, Andrew McCallum
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP. EMNLP (1) (2021)
Tsendsuren Munkhdalai, Khe Chai Sim, Angad Chandorkar, Fan Gao, Mason Chua, Trevor Strohman, Françoise Beaufays
Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition. CoRR (2021)
Trapit Bansal, Karthick Gunasekaran, Tong Wang, Tsendsuren Munkhdalai, Andrew McCallum
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP. CoRR (2021)
Khe Chai Sim, Angad Chandorkar, Fan Gao, Mason Chua, Tsendsuren Munkhdalai, Françoise Beaufays
Robust Continuous On-Device Personalization for Automatic Speech Recognition. Interspeech (2021)
Imanol Schlag, Tsendsuren Munkhdalai, Jürgen Schmidhuber
Learning Associative Inference Using Fast Weight Memory. ICLR (2021)
Imanol Schlag, Tsendsuren Munkhdalai, Jürgen Schmidhuber
Learning Associative Inference Using Fast Weight Memory. CoRR (2020)
Trapit Bansal, Rishikesh Jha, Tsendsuren Munkhdalai, Andrew McCallum
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks. EMNLP (1) (2020)
Tsendsuren Munkhdalai
Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling. CoRR (2020)
Trapit Bansal, Rishikesh Jha, Tsendsuren Munkhdalai, Andrew McCallum
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks. CoRR (2020)
Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer
Exploring and Predicting Transferability across NLP Tasks. CoRR (2020)
Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Keun Ho Ryu
A Locally Adaptive Interpretable Regression. CoRR (2020)
Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Keun Ho Ryu
GEV-NN: A deep neural network architecture for class imbalance problem in binary classification. Knowl. Based Syst. 194 (2020)
Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer
Exploring and Predicting Transferability across NLP Tasks. EMNLP (1) (2020)
Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler
Metalearned Neural Memory. NeurIPS (2019)
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. ICLR (Poster) (2019)
Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Kwang-Ho Park, Heon Gyu Lee, Meijing Li, Keun Ho Ryu
Mixture of Activation Functions With Extended Min-Max Normalization for Forex Market Prediction. IEEE Access 7 (2019)
Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Kwang-Ho Park, Tsatsral Amarbayasgalan, Erdenebileg Batbaatar, Hyun Woo Park, Keun Ho Ryu
An End-to-End Adaptive Input Selection With Dynamic Weights for Forecasting Multivariate Time Series. IEEE Access 7 (2019)
Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler
Metalearned Neural Memory. CoRR (2019)
Khuyagbaatar Batsuren, Erdenebileg Batbaatar, Tsendsuren Munkhdalai, Meijing Li, Oyun-Erdene Namsrai, Keun Ho Ryu
A Dependency Graph-Based Keyphrase Extraction Method Using Anti-patterns. J. Inf. Process. Syst. 14 (5) (2018)
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. CoRR (2018)
Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu
Sentence Simplification with Memory-Augmented Neural Networks. CoRR (2018)
Tsendsuren Munkhdalai, Adam Trischler
Metalearning with Hebbian Fast Weights. CoRR (2018)
Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu
Sentence Simplification with Memory-Augmented Neural Networks. NAACL-HLT (2) (2018)
John Lalor, Hao Wu, Tsendsuren Munkhdalai, Hong Yu
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study. EMNLP (2018)
Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler
Rapid Adaptation with Conditionally Shifted Neurons. ICML (2018)
John P. Lalor, Hao Wu, Tsendsuren Munkhdalai, Hong Yu
An Analysis of Machine Learning Intelligence. CoRR (2017)
Tsendsuren Munkhdalai, Hong Yu
Meta Networks. ICML (2017)
Tsendsuren Munkhdalai, Hong Yu
Meta Networks. CoRR (2017)
Tsendsuren Munkhdalai, Hong Yu
Neural Semantic Encoders. EACL (1) (2017)
Tsendsuren Munkhdalai, Hong Yu
Neural Tree Indexers for Text Understanding. EACL (1) (2017)
Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Tong Wang, Adam Trischler
Learning Rapid-Temporal Adaptations. CoRR (2017)
Tsendsuren Munkhdalai, Hong Yu
Reasoning with Memory Augmented Neural Networks for Language Comprehension. ICLR (Poster) (2017)
Tsendsuren Munkhdalai, John Lalor, Hong Yu
Citation Analysis with Neural Attention Models. Louhi@EMNLP (2016)
Tsendsuren Munkhdalai, Hong Yu
Neural Tree Indexers for Text Understanding. CoRR (2016)
Tsendsuren Munkhdalai, Hong Yu
Neural Semantic Encoders. CoRR (2016)
Tsendsuren Munkhdalai, Hong Yu
Reasoning with Memory Augmented Neural Networks for Language Comprehension. CoRR (2016)
Tsendsuren Munkhdalai, Meijing Li, Khuyagbaatar Batsuren, Hyeon Park, Nak Choi, Keun Ho Ryu
Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations. J. Cheminformatics 7 (S-1) (2015)
Tsendsuren Munkhdalai, Meijing Li, Khuyagbaatar Batsuren, Keun Ho Ryu
Towards a Unified Named Entity Recognition System - Disease Mention Identification. BIOINFORMATICS (2015)
Martin Krallinger, Obdulia Rabal, Florian Leitner, Miguel Vazquez, David Salgado, Zhiyong Lu, Robert Leaman, Yanan Lu, Donghong Ji, Daniel M. Lowe, Roger A. Sayle, Riza Theresa Batista-Navarro, Rafal Rak, Torsten Huber, Tim Rocktäschel, Sérgio Matos, David Campos, Buzhou Tang, Hua Xu, Tsendsuren Munkhdalai, Keun Ho Ryu, S. V. Ramanan, P. Senthil Nathan, Slavko Zitnik, Marko Bajec, Lutz Weber, Matthias Irmer, Saber A. Akhondi, Jan A. Kors, Shuo Xu, Xin An, Utpal Kumar Sikdar, Asif Ekbal, Masaharu Yoshioka, Thaer M. Dieb, Miji Choi, Karin Verspoor, Madian Khabsa, C. Lee Giles, Hongfang Liu, Ravikumar Komandur Elayavilli, Andre Lamurias, Francisco M. Couto, Hong-Jie Dai, Richard Tzong-Han Tsai, Caglar Ata, Tolga Can, Anabel Usie, Rui Alves, Isabel Segura-Bedmar, Paloma Martínez, Julen Oyarzabal, Alfonso Valencia
The CHEMDNER corpus of chemicals and drugs and its annotation principles. J. Cheminformatics 7 (S-1) (2015)
Tsendsuren Munkhdalai, Oyun-Erdene Namsrai, Keun Ho Ryu
Self-training in significance space of support vectors for imbalanced biomedical event data. BMC Bioinform. 16 (S-7) (2015)
Erdenetuya Namsrai, Tsendsuren Munkhdalai, Meijing Li, Jung-Hoon Shin, Oyun-Erdene Namsrai, Keun Ho Ryu
A Feature Selection-based Ensemble Method for Arrhythmia Classification. J. Inf. Process. Syst. 9 (1) (2013)
Eonseok Shin, Tsendsuren Munkhdalai, Meijing Li, Incheon Paik, Keun Ho Ryu
A Self-training with Active Example Selection Criterion for Biomedical Named Entity Recognition. ICHIT (1) (2012)
Tsendsuren Munkhdalai, Meijing Li, Taewook Kim, Oyun-Erdene Namsrai, Seon-Phil Jeong, Jungpil Shin, Keun Ho Ryu
Bio Named Entity Recognition Based on Co-training Algorithm. AINA Workshops (2012)
Tsendsuren Munkhdalai, Meijing Li, Unil Yun, Oyun-Erdene Namsrai, Keun Ho Ryu
An Active Co-Training Algorithm for Biomedical Named-Entity Recognition. J. Inf. Process. Syst. 8 (4) (2012)
Tsendsuren Munkhdalai, Meijing Li, Erdenetuya Namsrai, Oyun-Erdene Namsrai, Keun Ho Ryu
BFSM: Finite state machine learned as name boundary definer for bio named entity recognition. iCAST (2011)