<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Vinay Kumar Verma | MAGIc@Bath Research Group</title><link>https://magic-at-bath.github.io/author/vinay-kumar-verma/</link><atom:link href="https://magic-at-bath.github.io/author/vinay-kumar-verma/index.xml" rel="self" type="application/rss+xml"/><description>Vinay Kumar Verma</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 01 Jan 2024 00:00:00 +0000</lastBuildDate><image><url>https://magic-at-bath.github.io/media/icon_hu9133737895653997186.png</url><title>Vinay Kumar Verma</title><link>https://magic-at-bath.github.io/author/vinay-kumar-verma/</link></image><item><title>VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference</title><link>https://magic-at-bath.github.io/publication/dblp-conficra-banerjee-vmgnr-24/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://magic-at-bath.github.io/publication/dblp-conficra-banerjee-vmgnr-24/</guid><description>&lt;p>Add the &lt;strong>full text&lt;/strong> or &lt;strong>supplementary notes&lt;/strong> for the publication here using Markdown formatting.&lt;/p></description></item><item><title>Streaming LifeLong Learning With Any-Time Inference</title><link>https://magic-at-bath.github.io/publication/dblp-conficra-banerjee-vn-23/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://magic-at-bath.github.io/publication/dblp-conficra-banerjee-vn-23/</guid><description>&lt;p>Add the &lt;strong>full text&lt;/strong> or &lt;strong>supplementary notes&lt;/strong> for the publication here using Markdown formatting.&lt;/p></description></item><item><title>Knowledge Consolidation based Class Incremental Online Learning with Limited Data</title><link>https://magic-at-bath.github.io/publication/dblp-confijcai-karim-vsnr-21/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://magic-at-bath.github.io/publication/dblp-confijcai-karim-vsnr-21/</guid><description>&lt;p>Add the &lt;strong>full text&lt;/strong> or &lt;strong>supplementary notes&lt;/strong> for the publication here using Markdown formatting.&lt;/p></description></item><item><title>A \"Network Pruning Network\" Approach to Deep Model Compression</title><link>https://magic-at-bath.github.io/publication/dblp-confwacv-verma-snr-20/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://magic-at-bath.github.io/publication/dblp-confwacv-verma-snr-20/</guid><description>&lt;p>Add the &lt;strong>full text&lt;/strong> or &lt;strong>supplementary notes&lt;/strong> for the publication here using Markdown formatting.&lt;/p></description></item><item><title>Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning</title><link>https://magic-at-bath.github.io/publication/dblp-journalsjstsp-singh-vrn-20/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://magic-at-bath.github.io/publication/dblp-journalsjstsp-singh-vrn-20/</guid><description>&lt;p>Add the &lt;strong>full text&lt;/strong> or &lt;strong>supplementary notes&lt;/strong> for the publication here using Markdown formatting.&lt;/p></description></item><item><title>Leveraging Filter Correlations for Deep Model Compression</title><link>https://magic-at-bath.github.io/publication/dblp-confwacv-singh-vrn-20/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://magic-at-bath.github.io/publication/dblp-confwacv-singh-vrn-20/</guid><description>&lt;p>Add the &lt;strong>full text&lt;/strong> or &lt;strong>supplementary notes&lt;/strong> for the publication here using Markdown formatting.&lt;/p></description></item><item><title>HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs</title><link>https://magic-at-bath.github.io/publication/dblp-confcvpr-singh-vrn-19/</link><pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate><guid>https://magic-at-bath.github.io/publication/dblp-confcvpr-singh-vrn-19/</guid><description>&lt;p>Add the &lt;strong>full text&lt;/strong> or &lt;strong>supplementary notes&lt;/strong> for the publication here using Markdown formatting.&lt;/p></description></item><item><title>Play and Prune: Adaptive Filter Pruning for Deep Model Compression</title><link>https://magic-at-bath.github.io/publication/dblp-confijcai-singh-vrn-19/</link><pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate><guid>https://magic-at-bath.github.io/publication/dblp-confijcai-singh-vrn-19/</guid><description>&lt;p>Add the &lt;strong>full text&lt;/strong> or &lt;strong>supplementary notes&lt;/strong> for the publication here using Markdown formatting.&lt;/p></description></item></channel></rss>