Tsendsuren Munkhdalai
Tsendsuren Munkhdalai
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Cited by
Cited by
Meta Networks
T Munkhdalai, H Yu
ICML 2017, 2017
Neural Semantic Encoders
T Munkhdalai, H Yu
EACL 2017, 2016
The CHEMDNER corpus of chemicals and drugs and its annotation principles
M Krallinger, O Rabal, F Leitner, M Vazquez, D Salgado, Z Lu, R Leaman, ...
Journal of cheminformatics 7 (1), 1-17, 2015
Rapid adaptation with conditionally shifted neurons
T Munkhdalai, X Yuan, S Mehri, A Trischler
ICML 2018, 3661-3670, 2018
Neural tree indexers for text understanding
T Munkhdalai, H Yu
EACL 2017 1, 11, 2017
Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations
T Munkhdalai, M Li, K Batsuren, HA Park, NH Choi, KH Ryu
Journal of cheminformatics 7 (S1), S9, 2015
Clinical relation extraction toward drug safety surveillance using electronic health record narratives: classical learning versus deep learning
T Munkhdalai, F Liu, H Yu
JMIR public health and surveillance 4 (2), e29, 2018
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
R Das, T Munkhdalai, X Yuan, A Trischler, A McCallum
ICLR 2019, 2018
A Feature Selection-based Ensemble Method for Arrhythmia Classification.
E Namsrai, T Munkhdalai, M Li, JH Shin, OE Namsrai, KH Ryu
JIPS 9 (1), 31-40, 2013
Sentence Simplification with Memory-Augmented Neural Networks
T Vu, B Hu, T Munkhdalai, H Yu
NAACL 2018, 2018
An empirical comparison of machine-learning methods on bank client credit assessments
L Munkhdalai, T Munkhdalai, OE Namsrai, JY Lee, KH Ryu
Sustainability 11 (3), 699, 2019
Self-training in significance space of support vectors for imbalanced biomedical event data
T Munkhdalai, OE Namsrai, KH Ryu
BMC bioinformatics 16 (S7), S6, 2015
Bio named entity recognition based on co-training algorithm
T Munkhdalai, M Li, T Kim, OE Namsrai, S Jeong, J Shin, KH Ryu
2012 26th International Conference on Advanced Information Networking and …, 2012
Reasoning with memory augmented neural networks for language comprehension
T Munkhdalai, H Yu
ICLR 2017, 2016
Metalearning with hebbian fast weights
T Munkhdalai, A Trischler
arXiv preprint arXiv:1807.05076, 2018
An Active Co-Training Algorithm for Biomedical Named-Entity Recognition.
T Munkhdalai, M Li, U Yun, OE Namsrai, KH Ryu
JIPS 8 (4), 575-588, 2012
Metalearned Neural Memory
T Munkhdalai, A Sordoni, T Wang, A Trischler
NeurIPS 2019, 2019
An end-to-end adaptive input selection with dynamic weights for forecasting multivariate time series
L Munkhdalai, T Munkhdalai, KH Park, T Amarbayasgalan, ...
IEEE Access 7, 99099-99114, 2019
Understanding deep learning performance through an examination of test set difficulty: A psychometric case study
JP Lalor, H Wu, T Munkhdalai, H Yu
arXiv preprint arXiv:1702.04811, 2017
Citation analysis with neural attention models
T Munkhdalai, J Lalor, H Yu
EMNLP 2016 Workshop on Health Text Mining and Information Analysis, 69-77, 2016
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