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Bootstrapping Parallel Anchors for Relative Representations
The use of relative representations for latent embeddings has shown potential in enabling latent space communication and zero-shot …
Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà
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Bootstrapping Parallel Anchors for Relative Representations
CaSpeR: Latent Spectral Regularization for Continual Learning
While biological intelligence grows organically as new knowledge is gathered throughout life, Artificial Neural Networks forget …
Emanuele Frascaroli, Riccardo Benaglia, Matteo Boschini, Luca Moschella, Cosimo Fiorini, Emanuele Rodolà, Simone Calderara
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CaSpeR: Latent Spectral Regularization for Continual Learning
ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training
Aligning the visual and language spaces requires to train deep neural networks from scratch on giant multimodal datasets; CLIP trains …
Antonio Norelli, Marco Fumero, Valentino Maiorca, Luca Moschella, Emanuele Rodolà, Francesco Locatello
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ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training
Explanatory Learning: Beyond Empiricism in Neural Networks
We introduce Explanatory Learning (EL), a framework to let machines use existing knowledge buried in symbolic sequences – e.g. …
Antonio Norelli, Giorgio Mariani, Luca Moschella, Andrea Santilli, Giambattista Parascandolo, Simone Melzi, Emanuele Rodolà
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Explanatory Learning: Beyond Empiricism in Neural Networks