Jack Goetz | DeepAI

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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...

0 Danilo Ribeiro, et al. ∙

∙ 04/04/2022

FedSynth: Gradient Compression via Synthetic Data in Federated Learning

Model compression is important in federated learning (FL) with large mod...

6 Shengyuan Hu, et al. ∙

∙ 10/12/2021

AutoNLU: Detecting, root-causing, and fixing NLU model errors

Improving the quality of Natural Language Understanding (NLU) models, an...

5 Pooja Sethi, et al. ∙

∙ 08/11/2020

Federated Learning via Synthetic Data

Federated learning allows for the training of a model using data on mult...

14 Jack Goetz, et al. ∙

∙ 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 ...

19 Jack Goetz, et al. ∙

∙ 09/27/2019

Active Federated Learning

Federated Learning allows for population level models to be trained with...

0 Jack Goetz, et al. ∙

∙ 09/27/2019

Federated User Representation Learning

Collaborative personalization, such as through learned user representati...

0 Duc Bui, et al. ∙

∙ 12/20/2017

Mining Events with Declassified Diplomatic Documents

Since 1973 the State Department has been using electronic records system...

0 Yuanjun Gao, et al. ∙

∙ 02/23/2017

Online Multiclass Boosting

Recent work has extended the theoretical analysis of boosting algorithms...

0 Young Hun Jung, et al. ∙

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