Joseph Wang

According to our database, Joseph Wang authored at least 26 papers between 2010 and 2022.

Collaborative distances:

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

2022

Latency Control for Keyword Spotting.

Christin Jose, Joseph Wang, Grant P. Strimel, Mohammad Omar Khursheed, Yuriy Mishchenko, Brian Kulis

CoRR, 2022

Wakeword Detection Under Distribution Shifts.

Sree Hari Krishnan Parthasarathi, Lu Zeng, Christin Jose, Joseph Wang

Proceedings of the Text, Speech, and Dialogue - 25th International Conference, 2022

2019

Probabilistic Semantic Retrieval for Surveillance Videos With Activity Graphs.

Yuting Chen, Joseph Wang, Yannan Bai, Gregory D. Castañón, Venkatesh Saligrama

IEEE Trans. Multim., 2019

2017

Field of Groves: An Energy-Efficient Random Forest.

Zafar Takhirov, Joseph Wang, Marcia S. Louis, Venkatesh Saligrama, Ajay Joshi

CoRR, 2017

Adaptive Neural Networks for Fast Test-Time Prediction.

Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama

CoRR, 2017

Adaptive Neural Networks for Efficient Inference.

Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama

Proceedings of the 34th International Conference on Machine Learning, 2017

Using Machine Learning techniques for identification of Chronic Traumatic Encephalopathy related Spectroscopic Biomarkers.

Marcia S. Louis, Michael Alosco, Benjamin Rowland, HuiHun Liao, Joseph Wang, Inga Koerte, Martha Shenton, Robert Stern, Ajay Joshi, Alexander P. Lin

Proceedings of the 2017 IEEE Applied Imagery Pattern Recognition Workshop, 2017

Resource Constrained Structured Prediction.

Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Optimally Pruning Decision Tree Ensembles With Feature Cost.

Feng Nan, Joseph Wang, Venkatesh Saligrama

CoRR, 2016

Structured Prediction with Test-time Budget Constraints.

Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama

CoRR, 2016

Pruning Random Forests for Prediction on a Budget.

Feng Nan, Joseph Wang, Venkatesh Saligrama

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Energy-Efficient Adaptive Classifier Design for Mobile Systems.

Zafar Takhirov, Joseph Wang, Venkatesh Saligrama, Ajay Joshi

Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016

A multi-resolution approach for discovery and 3-D modeling of archaeological sites using satellite imagery and a UAV-borne camera.

Huanyu Ding, Eric Cristofalo, Joseph Wang, David A. Castañón, Eduardo Montijano, Venkatesh Saligrama, Mac Schwager

Proceedings of the 2016 American Control Conference, 2016

2015

Sensor Selection by Linear Programming.

Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama

CoRR, 2015

Max-Cost Discrete Function Evaluation Problem under a Budget.

Feng Nan, Joseph Wang, Venkatesh Saligrama

CoRR, 2015

Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction.

Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Feature-Budgeted Random Forest.

Feng Nan, Joseph Wang, Venkatesh Saligrama

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Local learning by partitioning

Joseph Wang

PhD thesis, 2014

Fast margin-based cost-sensitive classification.

Feng Nan, Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama

Proceedings of the IEEE International Conference on Acoustics, 2014

Model Selection by Linear Programming.

Joseph Wang, Tolga Bolukbasi, Kirill Trapeznikov, Venkatesh Saligrama

Proceedings of the Computer Vision - ECCV 2014, 2014

An LP for Sequential Learning Under Budgets.

Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Online local linear classification.

Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Locally-Linear Learning Machines (L3M).

Joseph Wang, Venkatesh Saligrama

Proceedings of the Asian Conference on Machine Learning, 2013

2012

Local Supervised Learning through Space Partitioning.

Joseph Wang, Venkatesh Saligrama

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Structural similarity and distance in learning.

Joseph Wang, Venkatesh Saligrama, David A. Castañón

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010

Markov group testing.

Joseph Wang, Venkatesh Saligrama, David A. Castañón

Proceedings of the 48th Annual Allerton Conference on Communication, 2010