Tsendsuren Munkhdalai
Tsendsuren Munkhdalai
Research Scientist, Google
Verified email at - Homepage
Cited by
Cited by
Meta Networks
T Munkhdalai, H Yu
ICML 2017, 2017
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, 1-17, 2015
Rapid adaptation with conditionally shifted neurons
T Munkhdalai, X Yuan, S Mehri, A Trischler
ICML 2018, 3661-3670, 2018
Neural Semantic Encoders
T Munkhdalai, H Yu
EACL 2017, 2016
Exploring and predicting transferability across NLP tasks
T Vu, T Wang, T Munkhdalai, A Sordoni, A Trischler, A Mattarella-Micke, ...
arXiv preprint arXiv:2005.00770, 2020
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
Neural tree indexers for text understanding
T Munkhdalai, H Yu
EACL 2017 1, 11, 2017
Mixture of activation functions with extended min-max normalization for forex market prediction
L Munkhdalai, T Munkhdalai, KH Park, HG Lee, M Li, KH Ryu
IEEE Access 7, 183680-183691, 2019
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
R Das, T Munkhdalai, X Yuan, A Trischler, A McCallum
ICLR 2019, 2018
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), e9361, 2018
Self-supervised meta-learning for few-shot natural language classification tasks
T Bansal, R Jha, T Munkhdalai, A McCallum
arXiv preprint arXiv:2009.08445, 2020
Sentence Simplification with Memory-Augmented Neural Networks
T Vu, B Hu, T Munkhdalai, H Yu
NAACL 2018, 2018
Metalearned Neural Memory
T Munkhdalai, A Sordoni, T Wang, A Trischler
NeurIPS 2019, 2019
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, 1-8, 2015
An end-to-end adaptive input selection with dynamic weights for forecasting multivariate time series
L Munkhdalai, T Munkhdalai, KH Park, T Amarbayasgalan, E Batbaatar, ...
IEEE Access 7, 99099-99114, 2019
Diverse distributions of self-supervised tasks for meta-learning in NLP
T Bansal, K Gunasekaran, T Wang, T Munkhdalai, A McCallum
arXiv preprint arXiv:2111.01322, 2021
A feature selection-based ensemble method for arrhythmia classification
E Namsrai, T Munkhdalai, M Li, JH Shin, OE Namsrai, KH Ryu
Journal of Information Processing Systems 9 (1), 31-40, 2013
Self-training in significance space of support vectors for imbalanced biomedical event data
T Munkhdalai, OE Namsrai, KH Ryu
BMC bioinformatics 16, 1-8, 2015
Learning associative inference using fast weight memory
I Schlag, T Munkhdalai, J Schmidhuber
arXiv preprint arXiv:2011.07831, 2020
Understanding deep learning performance through an examination of test set difficulty: A psychometric case study
JP Lalor, H Wu, T Munkhdalai, H Yu
Proceedings of the Conference on Empirical Methods in Natural Language …, 2018
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