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Tsendsuren Munkhdalai

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Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm

Sep 29, 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 Sainath, Pedro Moreno Mengibar

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Improving Speech Recognition for African American English With Audio Classification

Sep 16, 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 Sainath, Françoise Beaufays, Pedro Moreno Mengibar

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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

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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

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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

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

Sep 03, 2020
Tsendsuren Munkhdalai

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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

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