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ORCIDTsendsuren Munkhdalai
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2020 – today
- 2024
[c29]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: 6900-6904- [c28]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: 12356-12360 - [c27]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. NAACL (Industry Track) 2024: 315-323 - [i22]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 abs/2403.19709 (2024) - [i21]Tsendsuren Munkhdalai, Manaal Faruqui, Siddharth Gopal:
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention. CoRR abs/2404.07143 (2024) - [i20]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 abs/2404.10180 (2024) - 2023
- [j11]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: 15404-15418 (2023) - [c26]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: 221-225 - [c25]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: 556-560 - [i19]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 abs/2309.09996 (2023) - [i18]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 abs/2310.00178 (2023) - 2022
- [j10]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: 11871-11885 (2022) - [c24]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: 6632-6636 - [c23]Golan Pundak, Tsendsuren Munkhdalai, Khe Chai Sim:
On-the-fly ASR Corrections with Audio Exemplars. INTERSPEECH 2022: 3148-3152 - [c22]David Qiu, Tsendsuren Munkhdalai, Yanzhang He, Khe Chai Sim:
Context-Aware Neural Confidence Estimation for Rare Word Speech Recognition. SLT 2022: 31-37 - [c21]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: 190-196 - [c20]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: 213-220 - 2021
- [c19]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: 5812-5824 - [c18]Imanol Schlag, Tsendsuren Munkhdalai, Jürgen Schmidhuber:
Learning Associative Inference Using Fast Weight Memory. ICLR 2021 - [c17]Khe Chai Sim, Angad Chandorkar, Fan Gao, Mason Chua, Tsendsuren Munkhdalai, Françoise Beaufays:
Robust Continuous On-Device Personalization for Automatic Speech Recognition. Interspeech 2021: 1284-1288 - [i17]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 abs/2110.02220 (2021) - [i16]Trapit Bansal, Karthick Gunasekaran, Tong Wang, Tsendsuren Munkhdalai, Andrew McCallum:
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP. CoRR abs/2111.01322 (2021) - 2020
- [j9]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: 105534 (2020) - [c16]Trapit Bansal, Rishikesh Jha, Tsendsuren Munkhdalai, Andrew McCallum:
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks. EMNLP (1) 2020: 522-534 - [c15]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: 7882-7926 - [i15]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 abs/2005.00770 (2020) - [i14]Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Keun Ho Ryu:
A Locally Adaptive Interpretable Regression. CoRR abs/2005.03350 (2020) - [i13]Tsendsuren Munkhdalai:
Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling. CoRR abs/2009.01803 (2020) - [i12]Trapit Bansal, Rishikesh Jha, Tsendsuren Munkhdalai, Andrew McCallum:
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks. CoRR abs/2009.08445 (2020) - [i11]Imanol Schlag, Tsendsuren Munkhdalai, Jürgen Schmidhuber:
Learning Associative Inference Using Fast Weight Memory. CoRR abs/2011.07831 (2020)
2010 – 2019
- 2019
- [j8]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: 99099-99114 (2019) - [j7]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: 183680-183691 (2019) - [c14]Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum:
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. ICLR (Poster) 2019 - [c13]Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler:
Metalearned Neural Memory. NeurIPS 2019: 13310-13321 - [i10]Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler:
Metalearned Neural Memory. CoRR abs/1907.09720 (2019) - 2018
- [j6]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): 1254-1271 (2018) - [c12]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: 4711-4716 - [c11]Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler:
Rapid Adaptation with Conditionally Shifted Neurons. ICML 2018: 3661-3670 - [c10]Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu:
Sentence Simplification with Memory-Augmented Neural Networks. NAACL-HLT (2) 2018: 79-85 - [i9]Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu:
Sentence Simplification with Memory-Augmented Neural Networks. CoRR abs/1804.07445 (2018) - [i8]Tsendsuren Munkhdalai, Adam Trischler:
Metalearning with Hebbian Fast Weights. CoRR abs/1807.05076 (2018) - [i7]Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum:
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. CoRR abs/1810.05682 (2018) - 2017
- [c9]Tsendsuren Munkhdalai, Hong Yu:
Neural Tree Indexers for Text Understanding. EACL (1) 2017: 11-21 - [c8]Tsendsuren Munkhdalai, Hong Yu:
Neural Semantic Encoders. EACL (1) 2017: 397-407 - [c7]Tsendsuren Munkhdalai, Hong Yu:
Reasoning with Memory Augmented Neural Networks for Language Comprehension. ICLR (Poster) 2017 - [c6]Tsendsuren Munkhdalai, Hong Yu:
Meta Networks. ICML 2017: 2554-2563 - [i6]John P. Lalor, Hao Wu, Tsendsuren Munkhdalai, Hong Yu:
An Analysis of Machine Learning Intelligence. CoRR abs/1702.04811 (2017) - [i5]Tsendsuren Munkhdalai, Hong Yu:
Meta Networks. CoRR abs/1703.00837 (2017) - [i4]Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Tong Wang, Adam Trischler:
Learning Rapid-Temporal Adaptations. CoRR abs/1712.09926 (2017) - 2016
- [c5]Tsendsuren Munkhdalai, John Lalor, Hong Yu:
Citation Analysis with Neural Attention Models. Louhi@EMNLP 2016: 69-77 - [i3]Tsendsuren Munkhdalai, Hong Yu:
Neural Semantic Encoders. CoRR abs/1607.04315 (2016) - [i2]Tsendsuren Munkhdalai, Hong Yu:
Neural Tree Indexers for Text Understanding. CoRR abs/1607.04492 (2016) - [i1]Tsendsuren Munkhdalai, Hong Yu:
Reasoning with Memory Augmented Neural Networks for Language Comprehension. CoRR abs/1610.06454 (2016) - 2015
- [j5]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): S6 (2015) - [j4]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): S2 (2015) - [j3]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): S9 (2015) - [c4]Tsendsuren Munkhdalai, Meijing Li, Khuyagbaatar Batsuren, Keun Ho Ryu:
Towards a Unified Named Entity Recognition System - Disease Mention Identification. BIOINFORMATICS 2015: 251-255 - 2013
- [j2]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): 31-40 (2013) - 2012
- [j1]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): 575-588 (2012) - [c3]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: 857-862 - [c2]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: 485-492 - 2011
- [c1]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: 344-349
Coauthor Index
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last updated on 2024-09-13 01:40 CEST by the dblp team
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