Vincenzo Lomonaco

Orcid: 0000-0001-8308-6599

Affiliations:
  • University of Pisa, Italy
  • University of Bologna, Italy (PhD 2019)


According to our database1, Vincenzo Lomonaco authored at least 72 papers between 2014 and 2024.

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Bibliography

2024
Continual Learning: Applications and the Road Forward.
Trans. Mach. Learn. Res., 2024

Continual pre-training mitigates forgetting in language and vision.
Neural Networks, 2024

Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning.
Neurocomputing, 2024

LuckyMera: a modular AI framework for building hybrid NetHack agents.
Intelligenza Artificiale, 2024

Continually Learn to Map Visual Concepts to Large Language Models in Resource-constrained Environments.
CoRR, 2024

Continual Learning in the Presence of Repetition.
CoRR, 2024

Continual Policy Distillation of Reinforcement Learning-based Controllers for Soft Robotic In-Hand Manipulation.
CoRR, 2024

Adaptive Hyperparameter Optimization for Continual Learning Scenarios.
CoRR, 2024

Deep continual learning for medical call incidents text classification under the presence of dataset shifts.
Comput. Biol. Medicine, 2024

TEACHING Platform for Human-Centric Autonomous Applications: Design and Overview.
Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024

Calibration of Continual Learning Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

I Know How: Combining Prior Policies to Solve New Tasks.
Proceedings of the IEEE Conference on Games, 2024

2023
Continual learning for predictive maintenance: Overview and challenges.
Intell. Syst. Appl., September, 2023

Generative negative replay for continual learning.
Neural Networks, May, 2023

A weakly supervised approach for recycling code recognition.
Expert Syst. Appl., April, 2023

The future of ethics in AI: challenges and opportunities.
AI Soc., April, 2023

Deep Continual Learning (Dagstuhl Seminar 23122).
Dagstuhl Reports, March, 2023

Avalanche: A PyTorch Library for Deep Continual Learning.
J. Mach. Learn. Res., 2023

Design Principles for Lifelong Learning AI Accelerators.
CoRR, 2023

In-context Interference in Chat-based Large Language Models.
CoRR, 2023

Studying Generalization on Memory-Based Methods in Continual Learning.
CoRR, 2023

Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual Learning.
CoRR, 2023

A Comprehensive Empirical Evaluation on Online Continual Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Memory Population in Continual Learning via Outlier Elimination.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence.
Proceedings of the IEEE International Conference on Acoustics, 2023

Prediction of Driver's Stress Affection in Simulated Autonomous Driving Scenarios.
Proceedings of the IEEE International Conference on Acoustics, 2023

Partial Hypernetworks for Continual Learning.
Proceedings of the Conference on Lifelong Learning Agents, 2023

Class-Incremental Learning with Repetition.
Proceedings of the Conference on Lifelong Learning Agents, 2023

2022
Towards lifelong object recognition: A dataset and benchmark.
Pattern Recognit., 2022

Is Class-Incremental Enough for Continual Learning?
Frontiers Artif. Intell., 2022

3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding.
CoRR, 2022

It's all About Consistency: A Study on Memory Composition for Replay-Based Methods in Continual Learning.
CoRR, 2022

Avalanche RL: a Continual Reinforcement Learning Library.
CoRR, 2022

CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions.
Artif. Intell., 2022

Continual-Learning-as-a-Service (CLaaS): On-Demand Efficient Adaptation of Predictive Models.
Proceedings of the Joint Proceedings of the 1st International Workshop on Computational Intelligence for Process Mining (CI4PM 2022) and the 1st International Workshop on Pervasive Artificial Intelligence (PAI 2022), 2022

AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving.
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

Practical Recommendations for Replay-Based Continual Learning Methods.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Avalanche RL: A Continual Reinforcement Learning Library.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Continual Learning for Human State Monitoring.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Ex-Model: Continual Learning from a Stream of Trained Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Continual learning for recurrent neural networks: An empirical evaluation.
Neural Networks, 2021

Sustainable Artificial Intelligence through Continual Learning.
CoRR, 2021

Avalanche: an End-to-End Library for Continual Learning.
CoRR, 2021

International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines.
Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021

Distilled Replay: Overcoming Forgetting Through Synthetic Samples.
Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021

Continual Learning at the Edge: Real-Time Training on Smartphone Devices.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Continual Learning with Echo State Networks.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021



2020
IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions].
IEEE Robotics Autom. Mag., 2020

Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges.
Inf. Fusion, 2020

Efficient continual learning in neural networks with embedding regularization.
Neurocomputing, 2020

IROS 2019 Lifelong Robotic Vision Challenge - Lifelong Object Recognition Report.
CoRR, 2020

Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

Latent Replay for Real-Time Continual Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Continual Reinforcement Learning in 3D Non-stationary Environments.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Continual Learning with Deep Architectures.
PhD thesis, 2019

Continuous learning in single-incremental-task scenarios.
Neural Networks, 2019

OpenLORIS-Object: A Dataset and Benchmark towards Lifelong Object Recognition.
CoRR, 2019

Fine-Grained Continual Learning.
CoRR, 2019

Continual Learning for Robotics.
CoRR, 2019

Online Continual Learning on Sequences.
Proceedings of the Recent Trends in Learning From Data, 2019

2018
Intelligent Drone Swarm for Search and Rescue Operations at Sea.
CoRR, 2018

Don't forget, there is more than forgetting: new metrics for Continual Learning.
CoRR, 2018

Custom Dual Transportation Mode Detection By Smartphone Devices Exploiting Sensor Diversity.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

2017
CORe50: a New Dataset and Benchmark for Continuous Object Recognition.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016
A Machine Learning Approach for Continuous Development.
Proceedings of 5th International Conference in Software Engineering for Defence Applications, 2016

Semi-supervised tuning from temporal coherence.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Comparing Incremental Learning Strategies for Convolutional Neural Networks.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2014
UCbase 2.0: ultraconserved sequences database (2014 update).
Database J. Biol. Databases Curation, 2014


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