Shikha Singh | DeepAI

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Benjamin Moseley
40 publications
Angshul Majumdar
32 publications
Jing Chen
30 publications
Martin Farach-Colton
21 publications
Mayank Goswami
20 publications
Michael A. Bender
18 publications
Prashant Pandey
13 publications
Rob Johnson
10 publications
Samuel McCauley
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Sagar Verma
7 publications
Cynthia A. Phillips
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∙ 05/17/2023

Online List Labeling with Predictions

A growing line of work shows how learned predictions can be used to brea...

0 Samuel McCauley, et al. ∙

∙ 11/04/2022

Agent-update Models

In dynamic epistemic logic (Van Ditmarsch et al., 2008) it is customary ...

0 Shikha Singh, et al. ∙

∙ 07/06/2021

Telescoping Filter: A Practical Adaptive Filter

Filters are fast, small and approximate set membership data structures. ...

0 David J. Lee, et al. ∙

∙ 01/22/2020

Subjective Knowledge and Reasoning about Agents in Multi-Agent Systems

Though a lot of work in multi-agent systems is focused on reasoning abou...

0 Shikha Singh, et al. ∙

∙ 12/11/2019

Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification

This work follows the approach of multi-label classification for non-int...

0 Shikha Singh, et al. ∙

∙ 10/17/2019

Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring

Increasing population indicates that energy demands need to be managed i...

0 Sagar Verma, et al. ∙

∙ 12/24/2018

The Online Event-Detection Problem

Given a stream S = (s_1, s_2, ..., s_N), a ϕ-heavy hitter is an item s_i...

0 Michael A. Bender, et al. ∙

∙ 07/03/2018

Efficient Rational Proofs with Strong Utility-Gap Guarantees

As modern computing moves towards smaller devices and powerful cloud pla...

0 Jing Chen, et al. ∙

∙ 11/05/2017

Bloom Filters, Adaptivity, and the Dictionary Problem

The Bloom filter---or, more generally, an approximate membership query d...

0 Michael A. Bender, et al. ∙

∙ 08/01/2017

Rational Proofs with Non-Cooperative Provers

Interactive-proof-based approaches are widely used in verifiable computa...

0 Jing Chen, et al. ∙

∙ 12/22/2016

How to Train Your Deep Neural Network with Dictionary Learning

Currently there are two predominant ways to train deep neural networks. ...

0 Vanika Singhal, et al. ∙

∙ 12/22/2016

Deep Blind Compressed Sensing

This work addresses the problem of extracting deeply learned features di...

0 Shikha Singh, et al. ∙

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