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12/07/2021
Saliency Diversified Deep Ensemble for Robustness to Adversaries
Deep learning models have shown incredible performance on numerous image...
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10/28/2021
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
Self-Supervised Learning (SSL) has been shown to learn useful and inform...
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10/27/2021
Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning
Voice Conversion (VC) for unseen speakers, also known as zero-shot VC, i...
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02/08/2021
Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation
In this paper, we propose a framework for privacy-preserving approximate...
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09/23/2020
Unsupervised Feature Learning for Event Data: Direct vs Inverse Problem Formulation
Event-based cameras record an asynchronous stream of per-pixel brightnes...
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08/06/2020
Online Weight-adaptive Nonlinear Model Predictive Control
Nonlinear Model Predictive Control (NMPC) is a powerful and widely used ...
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01/31/2019
Network Parameter Learning Using Nonlinear Transforms, Local Representation Goals and Local Propagation Constraints
In this paper, we introduce a novel concept for learning of the paramete...
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01/30/2019
Clustering with Jointly Learned Nonlinear Transforms Over Discriminating Min-Max Similarity/Dissimilarity Assignment
This paper presents a novel clustering concept that is based on jointly ...
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06/07/2018
Privacy-Preserving Identification via Layered Sparse Code Design: Distributed Servers and Multiple Access Authorization
We propose a new computationally efficient privacy-preserving identifica...
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05/20/2018
Network Learning with Local Propagation
This paper presents a locally decoupled network parameter learning with ...
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10/31/2017
A multi-layer network based on Sparse Ternary Codes for universal vector compression
We present the multi-layer extension of the Sparse Ternary Codes (STC) f...
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09/29/2017
Privacy Preserving Identification Using Sparse Approximation with Ambiguization
In this paper, we consider a privacy preserving encoding framework for i...
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07/07/2017
A multi-layer image representation using Regularized Residual Quantization: application to compression and denoising
A learning-based framework for representation of domain-specific images ...
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01/26/2017
Sparse Ternary Codes for similarity search have higher coding gain than dense binary codes
This paper addresses the problem of Approximate Nearest Neighbor (ANN) s...
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06/12/2015
