Search Results for author: Lauren Phillips

Found 4 papers, 0 papers with code

Recursive Decoding: A Situated Cognition Approach to Compositional Generation in Grounded Language Understanding

no code implementations27 Jan 2022 Matthew Setzler, Scott Howland, Lauren Phillips

Here we focus on this latter "decode-side" form of generalization in the context of gSCAN, a synthetic benchmark for compositional generalization in grounded language understanding.

Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers

no code implementations28 Jul 2021 Piper Wolters, Logan Sizemore, Chris Daw, Brian Hutchinson, Lauren Phillips

Many applications involve detecting and localizing specific sound events within long, untrimmed documents, including keyword spotting, medical observation, and bioacoustic monitoring for conservation.

Event Detection Keyword Spotting +2

Prototypical Region Proposal Networks for Few-Shot Localization and Classification

no code implementations8 Apr 2021 Elliott Skomski, Aaron Tuor, Andrew Avila, Lauren Phillips, Zachary New, Henry Kvinge, Courtney D. Corley, Nathan Hodas

Recently proposed few-shot image classification methods have generally focused on use cases where the objects to be classified are the central subject of images.

Classification Few-Shot Image Classification +2

A Study of Few-Shot Audio Classification

no code implementations2 Dec 2020 Piper Wolters, Chris Careaga, Brian Hutchinson, Lauren Phillips

In this research, we address two audio classification tasks (speaker identification and activity classification) with the Prototypical Network few-shot learning algorithm, and assess performance of various encoder architectures.

Audio Classification BIG-bench Machine Learning +3

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