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07/08/2023
Learning Variational Neighbor Labels for Test-Time Domain Generalization
This paper strives for domain generalization, where models are trained e...
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06/08/2023
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning
Few-shot meta-learning presents a challenge for gradient descent optimiz...
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03/31/2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
Modern image classifiers perform well on populated classes, while degrad...
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10/10/2022
Association Graph Learning for Multi-Task Classification with Category Shifts
In this paper, we focus on multi-task classification, where related clas...
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06/05/2022
E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles
Unmanned Aerial Vehicles (UAVs) based video text spotting has been exten...
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04/20/2022
NFormer: Robust Person Re-identification with Neighbor Transformer
Person re-identification aims to retrieve persons in highly varying sett...
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11/10/2021
Multi-Task Neural Processes
Neural processes have recently emerged as a class of powerful neural lat...
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11/09/2021
Variational Multi-Task Learning with Gumbel-Softmax Priors
Multi-task learning aims to explore task relatedness to improve individu...
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10/06/2021
Inverse Probability Weighting-based Mediation Analysis for Microbiome Data
Mediation analysis is an important tool to study casual associations in ...
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05/09/2021