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07/20/2023
Language-Enhanced Session-Based Recommendation with Decoupled Contrastive Learning
Session-based recommendation techniques aim to capture dynamic user beha...
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03/11/2023
DETA: Denoised Task Adaptation for Few-Shot Learning
Test-time task adaptation in few-shot learning aims to adapt a pre-train...
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01/28/2023
A Closer Look at Few-shot Classification Again
Few-shot classification consists of a training phase where a model is le...
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10/30/2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
Few-shot learning (FSL) targets at generalization of vision models towar...
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06/16/2022
Channel Importance Matters in Few-Shot Image Classification
Few-Shot Learning (FSL) requires vision models to quickly adapt to brand...
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12/14/2021
Exploring Category-correlated Feature for Few-shot Image Classification
Few-shot classification aims to adapt classifiers to novel classes with ...
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09/29/2021
Adaptive Multi-layer Contrastive Graph Neural Networks
We present Adaptive Multi-layer Contrastive Graph Neural Networks (AMC-G...
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07/20/2021
Boosting few-shot classification with view-learnable contrastive learning
The goal of few-shot classification is to classify new categories with f...
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07/16/2021