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Larry Heck

Grounding Open-Domain Instructions to Automate Web Support Tasks


Apr 04, 2021
Nancy Xu, Sam Masling, Michael Du, Giovanni Campagna, Larry Heck, James Landay, Monica S Lam

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* To be published in NAACL 2021 
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Zero-Shot Visual Slot Filling as Question Answering


Nov 24, 2020
Larry Heck, Simon Heck

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* 5 pages, 6 figures, 4 tables 
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end-to-end training of a large vocabulary end-to-end speech recognition system


Dec 22, 2019
Chanwoo Kim, Sungsoo Kim, Kwangyoun Kim, Mehul Kumar, Jiyeon Kim, Kyungmin Lee, Changwoo Han, Abhinav Garg, Eunhyang Kim, Minkyoo Shin, Shatrughan Singh, Larry Heck, Dhananjaya Gowda

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* Accepted and presented at the ASRU 2019 conference 
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Class-incremental Learning via Deep Model Consolidation


Mar 28, 2019
Junting Zhang, Jie Zhang, Shalini Ghosh, Dawei Li, Serafettin Tasci, Larry Heck, Heming Zhang, C. -C. Jay Kuo

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Efficient Incremental Learning for Mobile Object Detection


Mar 26, 2019
Dawei Li, Serafettin Tasci, Shalini Ghosh, Jingwen Zhu, Junting Zhang, Larry Heck

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Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation


Feb 26, 2019
Heming Zhang, Shalini Ghosh, Larry Heck, Stephen Walsh, Junting Zhang, Jie Zhang, C. -C. Jay Kuo

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Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems


Apr 18, 2018
Bing Liu, Gokhan Tur, Dilek Hakkani-Tur, Pararth Shah, Larry Heck

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* To appear in NAACL 2018 as a long paper 
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Building a Conversational Agent Overnight with Dialogue Self-Play


Jan 15, 2018
Pararth Shah, Dilek Hakkani-Tür, Gokhan Tür, Abhinav Rastogi, Ankur Bapna, Neha Nayak, Larry Heck

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* 11 pages, 4 figures 
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Scalable Multi-Domain Dialogue State Tracking


Jan 02, 2018
Abhinav Rastogi, Dilek Hakkani-Tur, Larry Heck

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* Published at ASRU-17. New version has updated results in Tables 1, 2 and 3 corresponding to the datasets released on github.com/google-research-datasets/simulated-dialogue 
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Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning


Dec 22, 2017
Saurabh Kumar, Pararth Shah, Dilek Hakkani-Tur, Larry Heck

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* Hierarchical Reinforcement Learning Workshop at the 31st Conference on Neural Information Processing Systems 
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End-to-End Optimization of Task-Oriented Dialogue Model with Deep Reinforcement Learning


Nov 30, 2017
Bing Liu, Gokhan Tur, Dilek Hakkani-Tur, Pararth Shah, Larry Heck

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Sequential Dialogue Context Modeling for Spoken Language Understanding


Jul 07, 2017
Ankur Bapna, Gokhan Tur, Dilek Hakkani-Tur, Larry Heck

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* 8 + 2 pages, Updated 10/17: Updated typos in abstract, Updated 07/07: Updated Title, abstract and few minor changes 
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Towards Zero-Shot Frame Semantic Parsing for Domain Scaling


Jul 07, 2017
Ankur Bapna, Gokhan Tur, Dilek Hakkani-Tur, Larry Heck

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* 4 pages + 1 references 
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Learning and Evaluating Musical Features with Deep Autoencoders


Jun 15, 2017
Mason Bretan, Sageev Oore, Doug Eck, Larry Heck

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A Unit Selection Methodology for Music Generation Using Deep Neural Networks


Dec 12, 2016
Mason Bretan, Gil Weinberg, Larry Heck

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Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding


Aug 10, 2016
Aaron Jaech, Larry Heck, Mari Ostendorf

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* Interspeech 2016 
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Leveraging Semantic Web Search and Browse Sessions for Multi-Turn Spoken Dialog Systems


Jun 25, 2016
Lu Wang, Larry Heck, Dilek Hakkani-Tur

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* ICASSP 2014 
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Contextual LSTM (CLSTM) models for Large scale NLP tasks


May 31, 2016
Shalini Ghosh, Oriol Vinyals, Brian Strope, Scott Roy, Tom Dean, Larry Heck

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Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation


Apr 28, 2015
Hongzhao Huang, Larry Heck, Heng Ji

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Zero-Shot Learning for Semantic Utterance Classification


Mar 07, 2014
Yann N. Dauphin, Gokhan Tur, Dilek Hakkani-Tur, Larry Heck

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