Aaqib Saeed | DeepAI

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∙ 05/03/2023

Plug-and-Play Multilingual Few-shot Spoken Words Recognition

As technology advances and digital devices become prevalent, seamless hu...

0 Aaqib Saeed, et al. ∙

∙ 10/31/2022

Active Learning of Non-semantic Speech Tasks with Pretrained Models

Pretraining neural networks with massive unlabeled datasets has become p...

0 Harlin Lee, et al. ∙

∙ 10/27/2022

On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors

Out-of-distribution (OOD) detection is concerned with identifying data p...

0 Zaharah Bukhsh, et al. ∙

∙ 08/19/2022

Federated Learning with Noisy Labels

Federated Learning (FL) is a distributed machine learning paradigm that ...

0 Vasileios Tsouvalas, et al. ∙

∙ 07/31/2022

COCOA: Cross Modality Contrastive Learning for Sensor Data

Self-Supervised Learning (SSL) is a new paradigm for learning discrimina...

2 Shohreh Deldari, et al. ∙

∙ 07/12/2022

Distilled Non-Semantic Speech Embeddings with Binary Neural Networks for Low-Resource Devices

This work introduces BRILLsson, a novel binary neural network-based repr...

0 Harlin Lee, et al. ∙

∙ 06/17/2022

Binary Early-Exit Network for Adaptive Inference on Low-Resource Devices

Deep neural networks have significantly improved performance on a range ...

0 Aaqib Saeed, et al. ∙

∙ 06/06/2022

Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data

Recently, Self-Supervised Representation Learning (SSRL) has attracted m...

8 Shohreh Deldari, et al. ∙

∙ 12/01/2021

Extrapolating from a Single Image to a Thousand Classes using Distillation

What can neural networks learn about the visual world from a single imag...

15 Yuki M. Asano, et al. ∙

∙ 09/27/2021

Consistency Training of Multi-exit Architectures for Sensor Data

Deep neural networks have become larger over the years with increasing d...

0 Aaqib Saeed, et al. ∙

∙ 07/14/2021

Federated Self-Training for Semi-Supervised Audio Recognition

Federated Learning is a distributed machine learning paradigm dealing wi...

4 Vasileios Tsouvalas, et al. ∙

∙ 04/01/2021

ProcessTransformer: Predictive Business Process Monitoring with Transformer Network

Predictive business process monitoring focuses on predicting future char...

0 Zaharah A. Bukhsh, et al. ∙

∙ 02/07/2021

Damage detection using in-domain and cross-domain transfer learning

We investigate the capabilities of transfer learning in the area of stru...

0 Zaharah A. Bukhsh, et al. ∙

∙ 10/21/2020

Contrastive Learning of General-Purpose Audio Representations

We introduce COLA, a self-supervised pre-training approach for learning ...

6 Aaqib Saeed, et al. ∙

∙ 09/28/2020

Sense and Learn: Self-Supervision for Omnipresent Sensors

Learning general-purpose representations from multisensor data produced ...

0 Aaqib Saeed, et al. ∙

∙ 07/25/2020

Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence

Smartphones, wearables, and Internet of Things (IoT) devices produce a w...

0 Aaqib Saeed, et al. ∙

∙ 07/27/2019

Multi-task Self-Supervised Learning for Human Activity Detection

Deep learning methods are successfully used in applications pertaining t...

6 Aaqib Saeed, et al. ∙

∙ 08/27/2018

Learning behavioral context recognition with multi-stream temporal convolutional networks

Smart devices of everyday use (such as smartphones and wearables) are in...

0 Aaqib Saeed, et al. ∙

∙ 11/15/2017

Personalized Driver Stress Detection with Multi-task Neural Networks using Physiological Signals

Stress can be seen as a physiological response to everyday emotional, me...

0 Aaqib Saeed, et al. ∙

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