activity
20192022
most citedEfficacy of Transformer Networks for Classification of Raw EEG Data

68 citations · 70 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2022★ 2 cited

Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks

Tristan Thrush, Kushal Tirumala, Anmol Gupta +7

We introduce Dynatask: an open source system for setting up custom NLP tasks that aims to greatly lower the technical knowledge and effort required for hosting and evaluating state…

cs.SD2022

Improving Voice Trigger Detection with Metric Learning

Prateeth Nayak, Takuya Higuchi, Anmol Gupta +9

Voice trigger detection is an important task, which enables activating a voice assistant when a target user speaks a keyword phrase. A detector is typically trained on speech data…

eess.SP2022★ 68 cited

Efficacy of Transformer Networks for Classification of Raw EEG Data

Gourav Siddhad, Anmol Gupta, Debi Prosad Dogra +1

With the unprecedented success of transformer networks in natural language processing (NLP), recently, they have been successfully adapted to areas like computer vision, generative…

eess.AS2021

Multi-task Learning with Cross Attention for Keyword Spotting

Takuya Higuchi, Anmol Gupta, Chandra Dhir

Keyword spotting (KWS) is an important technique for speech applications, which enables users to activate devices by speaking a keyword phrase. Although a phoneme classifier can be…

cs.SI2020

Influencing Opinion Dynamics in Networks with Limited Interaction

Anmol Gupta, Sharayu Moharir, Neeraja Sahasrabudhe

The focus of this work is on designing influencing strategies to shape the collective opinion of a network of individuals. We consider a variant of the voter model where opinions e…

cs.SI2019

Influencing Opinions of Heterogeneous Populations over Finite Time Horizons

Arunabh Saxena, Bhumesh Kumar, Anmol Gupta +2

In this work, we focus on strategies to influence the opinion dynamics of a well-connected society. We propose a generalization of the popular voter model. This variant of the vote…