Jack Goetz

According to our database, Jack Goetz authored at least 10 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Towards Zero-Shot Frame Semantic Parsing with Task Agnostic Ontologies and Simple Labels.

Danilo Ribeiro, Omid Abdar, Jack Goetz, Mike Ross, Annie Dong, Kenneth D. Forbus, Ahmed Mohamed

CoRR, 2023

2022

FedSynth: Gradient Compression via Synthetic Data in Federated Learning.

Shengyuan Hu, Jack Goetz, Kshitiz Malik, Hongyuan Zhan, Zhe Liu, Yue Liu

CoRR, 2022

2021

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

Pooja Sethi, Denis Savenkov, Forough Arabshahi, Jack Goetz, Micaela Tolliver, Nicolas Scheffer, Ilknur Kabul, Yue Liu, Ahmed Aly

CoRR, 2021

2020

What Does the Machine Learn? Knowledge Representations of Chemical Reactivity.

Joshua Kammeraad, Jack Goetz, Eric Walker, Ambuj Tewari, Paul M. Zimmerman

J. Chem. Inf. Model., 2020

Federated Learning via Synthetic Data.

Jack Goetz, Ambuj Tewari

CoRR, 2020

2019

Not All are Made Equal: Consistency of Weighted Averaging Estimators Under Active Learning.

Jack Goetz, Ambuj Tewari

CoRR, 2019

Active Federated Learning.

Jack Goetz, Kshitiz Malik, Duc Bui, Seungwhan Moon, Honglei Liu, Anuj Kumar

CoRR, 2019

Federated User Representation Learning.

Duc Bui, Kshitiz Malik, Jack Goetz, Honglei Liu, Seungwhan Moon, Anuj Kumar, Kang G. Shin

CoRR, 2019

2018

Active Learning for Non-Parametric Regression Using Purely Random Trees.

Jack Goetz, Ambuj Tewari, Paul M. Zimmerman

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Online multiclass boosting.

Young Hun Jung, Jack Goetz, Ambuj Tewari

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017