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08/17/2023
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts
Test-time adaptation (TTA) aims to adapt a pre-trained model to the targ...
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04/02/2023
Progressive Random Convolutions for Single Domain Generalization
Single domain generalization aims to train a generalizable model with on...
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07/24/2022
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes
This paper proposes a novel test-time adaptation strategy that adjusts t...
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06/28/2022
Domain Agnostic Few-shot Learning for Speaker Verification
Deep learning models for verification systems often fail to generalize t...
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11/24/2021
Distribution Estimation to Automate Transformation Policies for Self-Supervision
In recent visual self-supervision works, an imitated classification obje...
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04/18/2021
Federated Learning of User Verification Models Without Sharing Embeddings
We consider the problem of training User Verification (UV) models in fed...
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03/25/2021
SubSpectral Normalization for Neural Audio Data Processing
Convolutional Neural Networks are widely used in various machine learnin...
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03/25/2021
Prototype-based Personalized Pruning
Nowadays, as edge devices such as smartphones become prevalent, there ar...
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07/09/2020
Federated Learning of User Authentication Models
Machine learning-based User Authentication (UA) models have been widely ...
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10/14/2019
Weakly Labeled Sound Event Detection Using Tri-training and Adversarial Learning
This paper considers a semi-supervised learning framework for weakly lab...
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10/14/2019
Acoustic Scene Classification Based on a Large-margin Factorized CNN
In this paper, we present an acoustic scene classification framework bas...
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08/06/2019
