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10/11/2021
A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it
In recent times, advances in artificial intelligence (AI) and IoT have e...
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06/18/2021
Evolving GANs: When Contradictions Turn into Compliance
Limited availability of labeled-data makes any supervised learning probl...
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06/03/2021
Stochastic Whitening Batch Normalization
Batch Normalization (BN) is a popular technique for training Deep Neural...
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07/27/2020
Stabilizing Bi-Level Hyperparameter Optimization using Moreau-Yosida Regularization
This research proposes to use the Moreau-Yosida envelope to stabilize th...
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05/08/2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey
With the general trend of increasing Convolutional Neural Network (CNN) ...
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11/06/2019
Auptimizer – an Extensible, Open-Source Framework for Hyperparameter Tuning
Tuning machine learning models at scale, especially finding the right hy...
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11/02/2019
On-Device Machine Learning: An Algorithms and Learning Theory Perspective
The current paradigm for using machine learning models on a device is to...
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10/15/2019
Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize
Variable metric proximal gradient (VM-PG) is a widely used class of conv...
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05/14/2019
Robust Neural Network Training using Periodic Sampling over Model Weights
Deep neural networks provide best-in-class performance for a number of c...
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11/27/2018
Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving
With recent advances in learning algorithms and hardware development, au...
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08/23/2018
Multiclass Universum SVM
We introduce Universum learning for multiclass problems and propose a no...
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07/02/2018
Make (Nearly) Every Neural Network Better: Generating Neural Network Ensembles by Weight Parameter Resampling
Deep Neural Networks (DNNs) have become increasingly popular in computer...
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01/25/2018
Effective Building Block Design for Deep Convolutional Neural Networks using Search
Deep learning has shown promising results on many machine learning tasks...
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07/25/2017
Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing
In a streaming environment, there is often a need for statistical predic...
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05/04/2010