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07/18/2023
Augmenting CLIP with Improved Visio-Linguistic Reasoning
Image-text contrastive models such as CLIP are useful for a variety of d...
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04/04/2023
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
Few-shot classification (FSC) entails learning novel classes given only ...
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07/15/2022
Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention
We study the highly practical but comparatively under-studied problem of...
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06/27/2022
Compressing Features for Learning with Noisy Labels
Supervised learning can be viewed as distilling relevant information fro...
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06/10/2022
Fisher SAM: Information Geometry and Sharpness Aware Minimisation
Recent sharpness-aware minimisation (SAM) is known to find flat minima w...
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04/15/2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
Few-shot learning (FSL) is an important and topical problem in computer ...
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05/03/2021
AvaTr: One-Shot Speaker Extraction with Transformers
To extract the voice of a target speaker when mixed with a variety of ot...
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04/28/2021
Boosting Co-teaching with Compression Regularization for Label Noise
In this paper, we study the problem of learning image classification mod...
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04/27/2020
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
We propose a meta-learning approach that learns from multiple tasks in a...
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04/11/2019
