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01/20/2023
Open-Set Likelihood Maximization for Few-Shot Learning
We tackle the Few-Shot Open-Set Recognition (FSOSR) problem, i.e. classi...
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06/18/2022
Model-Agnostic Few-Shot Open-Set Recognition
We tackle the Few-Shot Open-Set Recognition (FSOSR) problem, i.e. classi...
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05/10/2022
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling
Every day, a new method is published to tackle Few-Shot Image Classifica...
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05/25/2021
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift
Few-Shot Learning (FSL) algorithms have made substantial progress in lea...
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11/13/2019
Learning to Communicate in Multi-Agent Reinforcement Learning : A Review
We consider the issue of multiple agents learning to communicate through...
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09/30/2019
