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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...
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10/31/2022
Active Learning of Non-semantic Speech Tasks with Pretrained Models
Pretraining neural networks with massive unlabeled datasets has become p...
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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...
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08/19/2022
Federated Learning with Noisy Labels
Federated Learning (FL) is a distributed machine learning paradigm that ...
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07/31/2022
COCOA: Cross Modality Contrastive Learning for Sensor Data
Self-Supervised Learning (SSL) is a new paradigm for learning discrimina...
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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...
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06/17/2022
Binary Early-Exit Network for Adaptive Inference on Low-Resource Devices
Deep neural networks have significantly improved performance on a range ...
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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...
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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...
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09/27/2021
Consistency Training of Multi-exit Architectures for Sensor Data
Deep neural networks have become larger over the years with increasing d...
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07/14/2021
Federated Self-Training for Semi-Supervised Audio Recognition
Federated Learning is a distributed machine learning paradigm dealing wi...
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04/01/2021
ProcessTransformer: Predictive Business Process Monitoring with Transformer Network
Predictive business process monitoring focuses on predicting future char...
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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...
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10/21/2020
Contrastive Learning of General-Purpose Audio Representations
We introduce COLA, a self-supervised pre-training approach for learning ...
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09/28/2020
Sense and Learn: Self-Supervision for Omnipresent Sensors
Learning general-purpose representations from multisensor data produced ...
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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...
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07/27/2019
Multi-task Self-Supervised Learning for Human Activity Detection
Deep learning methods are successfully used in applications pertaining t...
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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...
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11/15/2017
