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03/18/2023
DeAR: Debiasing Vision-Language Models with Additive Residuals
Large pre-trained vision-language models (VLMs) reduce the time for deve...
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03/10/2023
UNFUSED: UNsupervised Finetuning Using SElf supervised Distillation
In this paper, we introduce UnFuSeD, a novel approach to leverage self-s...
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11/02/2022
SLICER: Learning universal audio representations using low-resource self-supervised pre-training
We present a new Self-Supervised Learning (SSL) approach to pre-train en...
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11/02/2022
MAST: Multiscale Audio Spectrogram Transformers
We present Multiscale Audio Spectrogram Transformer (MAST) for audio cla...
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03/31/2022
Analyzing the factors affecting usefulness of Self-Supervised Pre-trained Representations for Speech Recognition
Self-supervised learning (SSL) to learn high-level speech representation...
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03/25/2022
DeLoRes: Decorrelating Latent Spaces for Low-Resource Audio Representation Learning
Inspired by the recent progress in self-supervised learning for computer...
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10/17/2021
Deep Clustering For General-Purpose Audio Representations
We introduce DECAR, a self-supervised pre-training approach for learning...
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06/02/2021
