Davide Bernardi

According to our database, Davide Bernardi authored at least 13 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

A Survey on Knowledge Editing of Neural Networks.

Vittorio Mazzia, Alessandro Pedrani, Andrea Caciolai, Kay Rottmann, Davide Bernardi

CoRR, 2023

Does Anyone see the Irony here? Analysis of Perspective-aware Model Predictions in Irony Detection.

Simona Frenda, Soda Marem Lo, Silvia Casola, Bianca Scarlini, Cristina Marco, Valerio Basile, Davide Bernardi

Proceedings of the 2nd Workshop on Perspectivist Approaches to NLP co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), 2023

Supervised Clustering Loss for Clustering-Friendly Sentence Embeddings: an Application to Intent Clustering.

Giorgio Barnabò, Antonio Uva, Sandro Pollastrini, Chiara Rubagotti, Davide Bernardi

Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

EPIC: Multi-Perspective Annotation of a Corpus of Irony.

Simona Frenda, Alessandro Pedrani, Valerio Basile, Soda Marem Lo, Alessandra Teresa Cignarella, Raffaella Panizzon, Cristina Marco, Bianca Scarlini, Viviana Patti, Cristina Bosco, Davide Bernardi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Mitigating the Burden of Redundant Datasets via Batch-Wise Unique Samples and Frequency-Aware Losses.

Donato Crisostomi, Andrea Caciolai, Alessandro Pedrani, Kay Rottmann, Alessandro Manzotti, Enrico Palumbo, Davide Bernardi

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Regression-Free Model Updates for Spoken Language Understanding.

Andrea Caciolai, Verena Weber, Tobias Falke, Alessandro Pedrani, Davide Bernardi

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.

Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan

CoRR, 2022

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.

Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Lizhen Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

A network model of the barrel cortex combined with a differentiator detector reproduces features of the behavioral response to single-neuron stimulation.

Davide Bernardi, Guy Doron, Michael Brecht, Benjamin Lindner

PLoS Comput. Biol., 2021

2018

Self-Consistent Scheme for Spike-Train Power Spectra in Heterogeneous Sparse Networks.

Rodrigo Felipe De Oliveira Pena, Sebastian Vellmer, Davide Bernardi, Antonio Carlos Roque, Benjamin Lindner

Frontiers Comput. Neurosci., 2018

Fast Flux Detection via Data Mining on Passive DNS Traffic.

Pierangelo Lombardo, Salvatore Saeli, Federica Bisio, Davide Bernardi, Danilo Massa

CoRR, 2018

Fast Flux Service Network Detection via Data Mining on Passive DNS Traffic.

Pierangelo Lombardo, Salvatore Saeli, Federica Bisio, Davide Bernardi, Danilo Massa

Proceedings of the Information Security - 21st International Conference, 2018

2017

Real-time behavioral DGA detection through machine learning.

Federica Bisio, Salvatore Saeli, Pierangelo Lombardo, Davide Bernardi, Alan Perotti, Danilo Massa

Proceedings of the International Carnahan Conference on Security Technology, 2017