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08/18/2023
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning
In this work, we investigate exemplar-free class incremental learning (C...
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10/06/2022
Hypernetwork approach to Bayesian MAML
The main goal of Few-Shot learning algorithms is to enable learning from...
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03/21/2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks
Few-shot models aim at making predictions using a minimal number of labe...
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10/26/2021
MisConv: Convolutional Neural Networks for Missing Data
Processing of missing data by modern neural networks, such as CNNs, rema...
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11/30/2020
RegFlow: Probabilistic Flow-based Regression for Future Prediction
Predicting future states or actions of a given system remains a fundamen...
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10/05/2020
