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05/24/2023
DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models
The recent progress in diffusion-based text-to-image generation models h...
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05/23/2023
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification
Respiratory sound contains crucial information for the early diagnosis o...
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05/19/2023
Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation
Transformer-based speech self-supervised learning (SSL) models, such as ...
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03/20/2023
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
Deep learning in general domains has constantly been extended to domain-...
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05/13/2022
Revisiting the Updates of a Pre-trained Model for Few-shot Learning
Most of the recent few-shot learning algorithms are based on transfer le...
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05/11/2022
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning
Cross-domain few-shot learning (CD-FSL), where there are few target samp...
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02/01/2022
Understanding Cross-Domain Few-Shot Learning: An Experimental Study
Cross-domain few-shot learning has drawn increasing attention for handli...
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06/29/2021
Self-Contrastive Learning
This paper proposes a novel contrastive learning framework, coined as Se...
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10/13/2020