research
∙
07/13/2022
Wakeword Detection under Distribution Shifts
We propose a novel approach for semi-supervised learning (SSL) designed ...
share
research
∙
06/15/2022
Latency Control for Keyword Spotting
Conversational agents commonly utilize keyword spotting (KWS) to initiat...
research
∙
12/17/2017
Probabilistic Semantic Retrieval for Surveillance Videos with Activity Graphs
We present a novel framework for finding complex activities matching use...
research
∙
04/10/2017
Field of Groves: An Energy-Efficient Random Forest
Machine Learning (ML) algorithms, like Convolutional Neural Networks (CN...
research
∙
02/25/2017
Adaptive Neural Networks for Efficient Inference
We present an approach to adaptively utilize deep neural networks in ord...
research
∙
06/16/2016
Pruning Random Forests for Prediction on a Budget
We propose to prune a random forest (RF) for resource-constrained predic...
research
∙
02/28/2016
Resource Constrained Structured Prediction
We study the problem of structured prediction under test-time budget con...
research
∙
01/05/2016
Optimally Pruning Decision Tree Ensembles With Feature Cost
We consider the problem of learning decision rules for prediction with f...
research
∙
10/26/2015
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction
We study the problem of reducing test-time acquisition costs in classifi...
research
∙
09/09/2015
Sensor Selection by Linear Programming
We learn sensor trees from training data to minimize sensor acquisition ...
research
∙
02/20/2015
Feature-Budgeted Random Forest
We seek decision rules for prediction-time cost reduction, where complet...
research
∙
10/26/2011
