Andrea Gesmundo

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Routing Networks with Co-training for Continual Learning

The core challenge with continual learning is catastrophic forgetting, t...
09/09/2020 ∙ by Mark Collier, et al. ∙ 15 ∙ share

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Ranking architectures using meta-learning

Neural architecture search has recently attracted lots of research effor...
11/26/2019 ∙ by Alina Dubatovka, et al. ∙ 0 ∙ share

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Gumbel-Matrix Routing for Flexible Multi-task Learning

This paper proposes a novel per-task routing method for multi-task appli...
10/10/2019 ∙ by Krzysztof Maziarz, et al. ∙ 0 ∙ share

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Temporal coding in spiking neural networks with alpha synaptic function

The timing of individual neuronal spikes is essential for biological bra...
07/30/2019 ∙ by Iulia M. Comsa, et al. ∙ 15 ∙ share

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Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents

Recent advances in Neural Architecture Search (NAS) have produced state-...
06/19/2019 ∙ by Zalán Borsos, et al. ∙ 0 ∙ share

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Fast Task-Aware Architecture Inference

Neural architecture search has been shown to hold great promise towards ...
02/15/2019 ∙ by Efi Kokiopoulou, et al. ∙ 0 ∙ share

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Parameter-Efficient Transfer Learning for NLP

Fine-tuning large pre-trained models is an effective transfer mechanism ...
02/02/2019 ∙ by Neil Houlsby, et al. ∙ 0 ∙ share

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Neural Architecture Search Over a Graph Search Space

Neural architecture search (NAS) enabled the discovery of state-of-the-a...
12/27/2018 ∙ by Quentin de Laroussilhe, et al. ∙ 0 ∙ share

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Evolutionary-Neural Hybrid Agents for Architecture Search

Neural Architecture Search has recently shown potential to automate the ...
11/24/2018 ∙ by Krzysztof Maziarz, et al. ∙ 0 ∙ share

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Transfer Automatic Machine Learning

Building effective neural networks requires many design choices. These i...
03/07/2018 ∙ by Catherine Wong, et al. ∙ 0 ∙ share

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Analyzing Language Learned by an Active Question Answering Agent

We analyze the language learned by an agent trained with reinforcement l...
01/23/2018 ∙ by Christian Buck, et al. ∙ 0 ∙ share

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Transfer Learning to Learn with Multitask Neural Model Search

Deep learning models require extensive architecture design exploration a...
10/30/2017 ∙ by Catherine Wong, et al. ∙ 0 ∙ share

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Ask the Right Questions: Active Question Reformulation with Reinforcement Learning

We frame Question Answering as a Reinforcement Learning task, an approac...
05/22/2017 ∙ by Christian Buck, et al. ∙ 0 ∙ share

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Andrea Gesmundo

Featured Co-authors

Wei Wang

Sylvain Gelly

Stanisław Jastrzębski

Neil Houlsby

Massimiliano Ciaramita

Jesse Berent

Luca Versari

Mark Collier

Zalán Borsos

Jyrki Alakuijala

Efi Kokiopoulou

Routing Networks with Co-training for Continual Learning

Ranking architectures using meta-learning

Gumbel-Matrix Routing for Flexible Multi-task Learning

Temporal coding in spiking neural networks with alpha synaptic function

Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents

Fast Task-Aware Architecture Inference

Parameter-Efficient Transfer Learning for NLP

Neural Architecture Search Over a Graph Search Space

Evolutionary-Neural Hybrid Agents for Architecture Search

Transfer Automatic Machine Learning

Analyzing Language Learned by an Active Question Answering Agent

Transfer Learning to Learn with Multitask Neural Model Search

Ask the Right Questions: Active Question Reformulation with Reinforcement Learning