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


Nov 02, 2021
Trapit Bansal, Karthick Gunasekaran, Tong Wang, Tsendsuren Munkhdalai, Andrew McCallum

* To appear at EMNLP 2021 

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Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition


Oct 07, 2021
Tsendsuren Munkhdalai, Khe Chai Sim, Angad Chandorkar, Fan Gao, Mason Chua, Trevor Strohman, Françoise Beaufays

* 5 pages, 3 figures, 3 tables 

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Learning Associative Inference Using Fast Weight Memory


Nov 16, 2020
Imanol Schlag, Tsendsuren Munkhdalai, Jürgen Schmidhuber


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


Sep 17, 2020
Trapit Bansal, Rishikesh Jha, Tsendsuren Munkhdalai, Andrew McCallum

* To appear in EMNLP 2020 

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Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling


Sep 03, 2020
Tsendsuren Munkhdalai

* 9 pages, 4 figures, 2 tables 

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A Locally Adaptive Interpretable Regression


May 14, 2020
Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Keun Ho Ryu


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Exploring and Predicting Transferability across NLP Tasks


May 02, 2020
Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer

* Preprint, 44 pages, 3 figures, 33 tables 

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Metalearned Neural Memory


Jul 23, 2019
Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler

* 24 pages 

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Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension


Oct 12, 2018
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum

* ICLR 2019 submission 

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