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09/18/2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
Transductive Few-Shot learning has gained increased attention nowadays c...
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01/24/2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
Few-shot learning aims at leveraging knowledge learned by one or more de...
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10/18/2021
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning
Few-shot classification is a challenging problem due to the uncertainty ...
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06/06/2020
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning
Few-shot classification is a challenging problem due to the uncertainty ...
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01/27/2020
Exploiting Unsupervised Inputs for Accurate Few-Shot Classification
In few-shot classification, the aim is to learn models able to discrimin...
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11/08/2019
Towards a General Model of Knowledge for Facial Analysis by Multi-Source Transfer Learning
This paper proposes a step toward obtaining general models of knowledge ...
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03/15/2019
MFAS: Multimodal Fusion Architecture Search
We tackle the problem of finding good architectures for multimodal class...
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11/05/2018
Multi-Level Sensor Fusion with Deep Learning
In the context of deep learning, this article presents an original deep ...
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10/31/2018
The Many Moods of Emotion
This paper presents a novel approach to the facial expression generation...
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08/22/2018
CentralNet: a Multilayer Approach for Multimodal Fusion
This paper proposes a novel multimodal fusion approach, aiming to produc...
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08/08/2018
An Occam's Razor View on Learning Audiovisual Emotion Recognition with Small Training Sets
This paper presents a light-weight and accurate deep neural model for au...
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08/01/2018
Efficient Progressive Neural Architecture Search
This paper addresses the difficult problem of finding an optimal neural ...
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07/30/2018
CAKE: Compact and Accurate K-dimensional representation of Emotion
Inspired by works from the psychology community, we first study the link...
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09/21/2017
