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07/25/2023
Speech representation learning: Learning bidirectional encoders with single-view, multi-view, and multi-task methods
This thesis focuses on representation learning for sequence data over ti...
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07/06/2023
On-Device Constrained Self-Supervised Speech Representation Learning for Keyword Spotting via Knowledge Distillation
Large self-supervised models are effective feature extractors, but their...
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03/18/2023
Weight-sharing Supernet for Searching Specialized Acoustic Event Classification Networks Across Device Constraints
Acoustic Event Classification (AEC) has been widely used in devices such...
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03/22/2022
Federated Self-Supervised Learning for Acoustic Event Classification
Standard acoustic event classification (AEC) solutions require large-sca...
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02/05/2021
Multi-Task Self-Supervised Pre-Training for Music Classification
Deep learning is very data hungry, and supervised learning especially re...
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01/28/2020
Unsupervised Pre-training of Bidirectional Speech Encoders via Masked Reconstruction
We propose an approach for pre-training speech representations via a mas...
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12/12/2019
Towards Disentangled Representations for Human Retargeting by Multi-view Learning
We study the problem of learning disentangled representations for data a...
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07/05/2019
Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets
This paper targets the problem of image set-based face verification and ...
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06/23/2019
Variational Sequential Labelers for Semi-Supervised Learning
We introduce a family of multitask variational methods for semi-supervis...
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06/03/2019
Controllable Paraphrase Generation with a Syntactic Exemplar
Prior work on controllable text generation usually assumes that the cont...
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04/02/2019
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations
We propose a generative model for a sentence that uses two latent variab...
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03/23/2018
Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpart
Recent advances in deep generative models have shown promising potential...
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03/23/2018
Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpar
Recent advances in deep generative models have shown promising potential...
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03/19/2018
Acoustic feature learning using cross-domain articulatory measurements
Previous work has shown that it is possible to improve speech recognitio...
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03/19/2018
Acoustic feature learning cross-domain articulatory measurements
Previous work has shown that it is possible to improve speech recognitio...
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08/11/2017
Acoustic Feature Learning via Deep Variational Canonical Correlation Analysis
We study the problem of acoustic feature learning in the setting where w...
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02/07/2016
Network Inference by Learned Node-Specific Degree Prior
We propose a novel method for network inference from partially observed ...
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03/07/2015
Learning Scale-Free Networks by Dynamic Node-Specific Degree Prior
Learning the network structure underlying data is an important problem i...
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03/07/2015