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Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions
Large Language Models (LLMs) represent a significant advancement in artificial intelligence, finding applications across various …
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Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions
Graph Kernel Neural Networks
The convolution operator at the core of many modern neural architectures can effectively be seen as performing a dot product between an …
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Graph Kernel Neural Networks
Latent spectral regularization for continual learning
While biological intelligence grows organically as new knowledge is gathered throughout life, Artificial Neural Networks forget …
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Latent spectral regularization for continual learning
A Physically-inspired Approach to the Simulation of Plant Wilting
Plants are among the most complex objects to be modeled in computer graphics. While a large body of work is concerned with structural …
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A Physically-inspired Approach to the Simulation of Plant Wilting
ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training
CLIP proved that aligning visual and language spaces is key to solving many vision tasks without explicit training, but required to …
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ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training
Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation
The marine ecosystem is changing at an alarming rate, exhibiting biodiversity loss and the migration of tropical species to temperate …
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Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation
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 …
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Bootstrapping Parallel Anchors for Relative Representations
Certification of Gaussian Boson Sampling via graphs feature vectors and kernels
Gaussian Boson Sampling (GBS) is a non-universal model for quantum computing inspired by the original formulation of the Boson Sampling …
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Certification of Gaussian Boson Sampling via graphs feature vectors and kernels
Few-Shot Object Detection: A Survey
Deep learning approaches have recently raised the bar in many fields, from Natural Language Processing to Computer Vision, by …
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Few-Shot Object Detection: A Survey
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their …
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Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models