8 citations · 14 across the 7 of their papers we have counts for
4 papers · 1 filter
Online Active Learning For Sound Event Detection
Mark Lindsey, Ankit Shah, Francis Kubala +1
Data collection and annotation is a laborious, time-consuming prerequisite for supervised machine learning tasks. Online Active Learning (OAL) is a paradigm that addresses this iss…
Exploring Domain-Specific Enhancements for a Neural Foley Synthesizer
Ashwin Pillay, Sage Betko, Ari Liloia +2
Foley sound synthesis refers to the creation of authentic, diegetic sound effects for media, such as film or radio. In this study, we construct a neural Foley synthesizer capable o…
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
Hao Chen, Ankit Shah, Jindong Wang +6
Learning with reduced labeling standards, such as noisy label, partial label, and multiple label candidates, which we generically refer to as \textit{imprecise} labels, is a common…
Exploiting Contextual Structure to Generate Useful Auxiliary Tasks
Benedict Quartey, Ankit Shah, George Konidaris
Reinforcement learning requires interaction with an environment, which is expensive for robots. This constraint necessitates approaches that work with limited environmental interac…