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07/16/2023
Dataset Distillation Meets Provable Subset Selection
Deep learning has grown tremendously over recent years, yielding state-o...
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11/04/2021
A Unified Approach to Coreset Learning
Coreset of a given dataset and loss function is usually a small weighed ...
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12/24/2020
Fuzzy Commitments Offer Insufficient Protection to Biometric Templates Produced by Deep Learning
In this work, we study the protection that fuzzy commitments offer when ...
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08/19/2020
Data-Independent Structured Pruning of Neural Networks via Coresets
Model compression is crucial for deployment of neural networks on device...
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04/27/2020
LSHR-Net: a hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network
Recent work showed neural-network-based approaches to reconstructing ima...
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08/22/2018
Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning
Deep Learning shows very good performance when trained on large labeled ...
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06/23/2018
Dynamic Spectrum Matching with One-shot Learning
Convolutional neural networks (CNN) have been shown to provide a good so...
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08/18/2017
Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution
Machine learning methods have found many applications in Raman spectrosc...
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02/04/2017
Latent Hinge-Minimax Risk Minimization for Inference from a Small Number of Training Samples
Deep Learning (DL) methods show very good performance when trained on la...
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11/11/2016