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03/30/2023
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation
Unsupervised domain adaptation (UDA) approaches focus on adapting models...
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03/28/2022
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning
Supervised deep learning methods require a large repository of annotated...
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07/03/2021
SPI-GAN: Towards Single-Pixel Imaging through Generative Adversarial Network
Single-pixel imaging is a novel imaging scheme that has gained popularit...
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07/02/2021
RL-NCS: Reinforcement learning based data-driven approach for nonuniform compressed sensing
A reinforcement-learning-based non-uniform compressed sensing (NCS) fram...
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06/13/2021
Two-way Spectrum Pursuit for CUR Decomposition and Its Application in Joint Column/Row Subset Selection
The problem of simultaneous column and row subset selection is addressed...
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03/19/2021
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack
We propose LSDAT, an image-agnostic decision-based black-box attack that...
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01/19/2021
DyLoc: Dynamic Localization for Massive MIMO Using Predictive Recurrent Neural Networks
This paper presents a data-driven localization framework with high preci...
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07/28/2020
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations
Deep neural networks are being widely deployed for many critical tasks d...
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07/16/2020
Odyssey: Creation, Analysis and Detection of Trojan Models
Along with the success of deep neural network (DNN) models in solving va...
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02/07/2020
Subspace Capsule Network
Convolutional neural networks (CNNs) have become a key asset to most of ...
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05/21/2019
Source Localization and Tracking for Dynamic Radio Cartography using Directional Antennas
Utilization of directional antennas is a promising solution for efficien...
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05/10/2019
Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks
A new paradigm for large-scale spectrum occupancy learning based on long...
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05/10/2019
Primary User Localization and Online Radio Cartography via Structured Tensor Decomposition
Source localization and radio cartography using multi-way representation...
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11/29/2018
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision
The goal of data selection is to capture the most structural information...
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05/18/2018
Norm-Preservation: Why Residual Networks Can Become Extremely Deep?
Augmenting deep neural networks with skip connections, as introduced in ...
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11/27/2017
Feedback Acquisition and Reconstruction of Spectrum-Sparse Signals by Predictive Level Comparisons
In this letter, we propose a sparsity promoting feedback acquisition and...
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08/28/2015
Missing Spectrum-Data Recovery in Cognitive Radio Networks Using Piecewise Constant Nonnegative Matrix Factorization
In this paper, we propose a missing spectrum data recovery technique for...
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07/29/2013
