Fabrizio Silvestri | DeepAI

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Maarten de Rijke
166 publications
Pietro Liò
159 publications
Preslav Nakov
112 publications
Sebastian Riedel
105 publications
Tim Rocktäschel
64 publications
Emanuele Rodolà
52 publications
Edouard Grave
50 publications
Angela Fan
45 publications
Tanmoy Chakraborty
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Piotr Bojanowski
41 publications
Ludovic Denoyer
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∙ 07/24/2023

Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations: an Empirical Study

Sequential Recommender Systems (SRSs) have been widely used to model use...

0 Filippo Betello, et al. ∙

∙ 07/24/2023

RRAML: Reinforced Retrieval Augmented Machine Learning

The emergence of large language models (LLMs) has revolutionized machine...

0 Andrea Bacciu, et al. ∙

∙ 06/26/2023

Fauno: The Italian Large Language Model that will leave you senza parole!

This paper presents Fauno, the first and largest open-source Italian con...

0 Andrea Bacciu, et al. ∙

∙ 06/01/2023

Renormalized Graph Neural Networks

Graph Neural Networks (GNNs) have become essential for studying complex ...

0 Francesco Caso, et al. ∙

∙ 05/18/2023

Integrating Item Relevance in Training Loss for Sequential Recommender Systems

Sequential Recommender Systems (SRSs) are a popular type of recommender ...

15 Andrea Bacciu, et al. ∙

∙ 05/02/2023

Multimodal Neural Databases

The rise in loosely-structured data available through text, images, and ...

6 Giovanni Trappolini, et al. ∙

∙ 04/07/2023

Sheaf Neural Networks for Graph-based Recommender Systems

Recent progress in Graph Neural Networks has resulted in wide adoption b...

0 Antonio Purificato, et al. ∙

∙ 03/16/2023

Combining Distance to Class Centroids and Outlier Discounting for Improved Learning with Noisy Labels

In this paper, we propose a new approach for addressing the challenge of...

0 Farooq Ahmad Wani, et al. ∙

∙ 03/15/2023

Attention-likelihood relationship in transformers

We analyze how large language models (LLMs) represent out-of-context wor...

0 Valeria Ruscio, et al. ∙

∙ 09/20/2022

Sparse Vicious Attacks on Graph Neural Networks

Graph Neural Networks (GNNs) have proven to be successful in several pre...

9 Giovanni Trappolini, et al. ∙

∙ 07/27/2022

Encoding Concepts in Graph Neural Networks

The opaque reasoning of Graph Neural Networks induces a lack of human tr...

0 Lucie Charlotte Magister, et al. ∙

∙ 10/22/2021

ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models

The demand for explainable machine learning (ML) models has been growing...

18 Ziheng Chen, et al. ∙

∙ 10/05/2021

NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks

In this work, we formulate NEWRON: a generalization of the McCulloch-Pit...

0 Federico Siciliano, et al. ∙

∙ 06/02/2021

Database Reasoning Over Text

Neural models have shown impressive performance gains in answering queri...

22 James Thorne, et al. ∙

∙ 04/25/2021

SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images

We describe SemEval-2021 task 6 on Detection of Persuasion Techniques in...

0 Dimitar Dimitrov, et al. ∙

∙ 04/01/2021

CycleDRUMS: Automatic Drum Arrangement For Bass Lines Using CycleGAN

The two main research threads in computer-based music generation are: th...

0 Giorgio Barnabo, et al. ∙

∙ 03/13/2021

A Survey on Multimodal Disinformation Detection

Recent years have witnessed the proliferation of fake news, propaganda, ...

0 Firoj Alam, et al. ∙

∙ 02/05/2021

CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks

Graph neural networks (GNNs) have shown increasing promise in real-world...

11 Ana Lucic, et al. ∙

∙ 10/14/2020

Neural Databases

In recent years, neural networks have shown impressive performance gains...

1 James Thorne, et al. ∙

∙ 09/22/2020

Preserving Integrity in Online Social Networks

Online social networks provide a platform for sharing information and fr...

9 Alon Halevy, et al. ∙

∙ 06/01/2020

Concept Matching for Low-Resource Classification

We propose a model to tackle classification tasks in the presence of ver...

7 Federico Errica, et al. ∙

∙ 01/17/2020

Node Masking: Making Graph Neural Networks Generalize and Scale Better

Graph Neural Networks (GNNs) have received a lot of interest in the rece...

0 Pushkar Mishra, et al. ∙

∙ 11/09/2019

How Decoding Strategies Affect the Verifiability of Generated Text

Language models are of considerable importance. They are used for pretra...

0 Luca Massarelli, et al. ∙

∙ 05/23/2019

Misspelling Oblivious Word Embeddings

In this paper we present a method to learn word embeddings that are resi...

0 Bora Edizel, et al. ∙

∙ 06/20/2017

Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking

Machine-learned models are often described as "black boxes". In many rea...

0 Gabriele Tolomei, et al. ∙

∙ 07/07/2016

Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising

Sponsored search represents a major source of revenue for web search eng...

0 Mihajlo Grbovic, et al. ∙

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