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05/05/2023
Towards Zero-Shot Frame Semantic Parsing with Task Agnostic Ontologies and Simple Labels
Frame semantic parsing is an important component of task-oriented dialog...
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04/04/2022
FedSynth: Gradient Compression via Synthetic Data in Federated Learning
Model compression is important in federated learning (FL) with large mod...
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10/12/2021
AutoNLU: Detecting, root-causing, and fixing NLU model errors
Improving the quality of Natural Language Understanding (NLU) models, an...
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08/11/2020
Federated Learning via Synthetic Data
Federated learning allows for the training of a model using data on mult...
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10/11/2019
Not All are Made Equal: Consistency of Weighted Averaging Estimators Under Active Learning
Active learning seeks to build the best possible model with a budget of ...
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09/27/2019
Active Federated Learning
Federated Learning allows for population level models to be trained with...
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09/27/2019
Federated User Representation Learning
Collaborative personalization, such as through learned user representati...
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12/20/2017
Mining Events with Declassified Diplomatic Documents
Since 1973 the State Department has been using electronic records system...
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02/23/2017
