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ORCIDVincenzo Lomonaco
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- affiliation: University of Pisa, Italy
- affiliation (PhD 2019): University of Bologna, Italy
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2020 – today
- 2024
[j18]Pablo Ferri
, Vincenzo Lomonaco, Lucia C. Passaro, Antonio Felix de Castro, Purificación Sánchez-Cuesta, Carlos Sáez, Juan M. García-Gómez:
Deep continual learning for medical call incidents text classification under the presence of dataset shifts. Comput. Biol. Medicine 175: 108548 (2024)- [j17]Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer:
Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning. Neurocomputing 598: 127935 (2024) - [j16]Andrea Cossu, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Tinne Tuytelaars, Davide Bacciu:
Continual pre-training mitigates forgetting in language and vision. Neural Networks 179: 106492 (2024) - [j15]Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven:
Continual Learning: Applications and the Road Forward. Trans. Mach. Learn. Res. 2024 (2024) - [c31]Malio Li, Elia Piccoli, Vincenzo Lomonaco, Davide Bacciu:
I Know How: Combining Prior Policies to Solve New Tasks. CoG 2024: 1-4 - [c30]Valerio De Caro, Christos Chronis, Massimo Coppola, Vincenzo Lomonaco, Claudio Gallicchio, Konstantinos Tserpes, Davide Bacciu:
TEACHING Platform for Human-Centric Autonomous Applications: Design and Overview. HPDC 2024: 381-384 - [i54]Rudy Semola, Julio Hurtado, Vincenzo Lomonaco, Davide Bacciu:
Adaptive Hyperparameter Optimization for Continual Learning Scenarios. CoRR abs/2403.07015 (2024) - [i53]Lanpei Li, Enrico Donato, Vincenzo Lomonaco, Egidio Falotico:
Continual Policy Distillation of Reinforcement Learning-based Controllers for Soft Robotic In-Hand Manipulation. CoRR abs/2404.04219 (2024) - [i52]Lanpei Li, Elia Piccoli, Andrea Cossu, Davide Bacciu, Vincenzo Lomonaco:
Calibration of Continual Learning Models. CoRR abs/2404.07817 (2024) - [i51]Hamed Hemati, Lorenzo Pellegrini, Xiaotian Duan, Zixuan Zhao, Fangfang Xia, Marc Masana, Benedikt Tscheschner, Eduardo Veas, Yuxiang Zheng, Shiji Zhao, Shao-Yuan Li, Sheng-Jun Huang, Vincenzo Lomonaco, Gido M. van de Ven:
Continual Learning in the Presence of Repetition. CoRR abs/2405.04101 (2024) - [i50]Malio Li, Elia Piccoli, Vincenzo Lomonaco, Davide Bacciu:
I Know How: Combining Prior Policies to Solve New Tasks. CoRR abs/2406.09835 (2024) - [i49]Clea Rebillard, Julio Hurtado, Andrii Krutsylo, Lucia C. Passaro, Vincenzo Lomonaco:
Continually Learn to Map Visual Concepts to Large Language Models in Resource-constrained Environments. CoRR abs/2407.08279 (2024) - 2023
- [j14]Angelo Trotta, Marta Ziosi, Vincenzo Lomonaco:
The future of ethics in AI: challenges and opportunities. AI Soc. 38(2): 439-441 (2023) - [j13]Lorenzo Pellegrini, Davide Maltoni, Gabriele Graffieti, Vincenzo Lomonaco, Lisa Mazzini, Marco Mondardini, Milena Zappoli:
A weakly supervised approach for recycling code recognition. Expert Syst. Appl. 215: 119282 (2023) - [j12]Julio Hurtado, Dario Salvati, Rudy Semola, Mattia Bosio, Vincenzo Lomonaco:
Continual learning for predictive maintenance: Overview and challenges. Intell. Syst. Appl. 19: 200251 (2023) - [j11]Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati, Vincenzo Lomonaco:
Avalanche: A PyTorch Library for Deep Continual Learning. J. Mach. Learn. Res. 24: 363:1-363:6 (2023) - [j10]Gabriele Graffieti, Davide Maltoni, Lorenzo Pellegrini, Vincenzo Lomonaco:
Generative negative replay for continual learning. Neural Networks 162: 369-383 (2023) - [c29]Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth:
Partial Hypernetworks for Continual Learning. CoLLAs 2023: 318-336 - [c28]Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth:
Class-Incremental Learning with Repetition. CoLLAs 2023: 437-455 - [c27]Valerio De Caro, Herbert Danzinger, Claudio Gallicchio, Clemens Könczöl, Vincenzo Lomonaco, Mina Marmpena, Sevasti Politi, Omar Veledar, Davide Bacciu:
Prediction of Driver's Stress Affection in Simulated Autonomous Driving Scenarios. ICASSP Workshops 2023: 1-5 - [c26]Vincenzo Lomonaco, Valerio De Caro, Claudio Gallicchio, Antonio Carta, Christos Sardianos, Iraklis Varlamis, Konstantinos Tserpes, Massimo Coppola, Mina Marmpena, Sevasti Politi, Erwin Schoitsch, Davide Bacciu:
AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence. ICASSP Workshops 2023: 1-5 - [c25]Julio Hurtado, Alain Raymond-Saez, Vladimir Araujo, Vincenzo Lomonaco, Alvaro Soto, Davide Bacciu:
Memory Population in Continual Learning via Outlier Elimination. ICCV (Workshops) 2023: 3473-3482 - [c24]Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati:
A Comprehensive Empirical Evaluation on Online Continual Learning. ICCV (Workshops) 2023: 3510-3520 - [i48]Vincenzo Lomonaco, Lorenzo Pellegrini, Gabriele Graffieti, Davide Maltoni:
Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual Learning. CoRR abs/2301.02464 (2023) - [i47]Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth:
Class-Incremental Learning with Repetition. CoRR abs/2301.11396 (2023) - [i46]Julio Hurtado, Dario Salvati, Rudy Semola, Mattia Bosio, Vincenzo Lomonaco:
Continual Learning for Predictive Maintenance: Overview and Challenges. CoRR abs/2301.12467 (2023) - [i45]Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati, Vincenzo Lomonaco:
Avalanche: A PyTorch Library for Deep Continual Learning. CoRR abs/2302.01766 (2023) - [i44]Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer:
Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning. CoRR abs/2303.15888 (2023) - [i43]Felipe del Río, Julio Hurtado, Cristian Buc, Alvaro Soto, Vincenzo Lomonaco:
Studying Generalization on Memory-Based Methods in Continual Learning. CoRR abs/2306.09890 (2023) - [i42]Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth:
Partial Hypernetworks for Continual Learning. CoRR abs/2306.10724 (2023) - [i41]Luigi Quarantiello, Simone Marzeddu, Antonio Guzzi, Vincenzo Lomonaco:
LuckyMera: a Modular AI Framework for Building Hybrid NetHack Agents. CoRR abs/2307.08532 (2023) - [i40]Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati:
A Comprehensive Empirical Evaluation on Online Continual Learning. CoRR abs/2308.10328 (2023) - [i39]Eric Nuertey Coleman, Julio Hurtado, Vincenzo Lomonaco:
In-context Interference in Chat-based Large Language Models. CoRR abs/2309.12727 (2023) - [i38]Dhireesha Kudithipudi, Anurag Reddy Daram, Abdullah M. Zyarah, Fatima Tuz Zohora, James B. Aimone, Angel Yanguas-Gil, Nicholas Soures, Emre Neftci, Matthew Mattina, Vincenzo Lomonaco, Clare D. Thiem, Benjamin R. Epstein:
Design Principles for Lifelong Learning AI Accelerators. CoRR abs/2310.04467 (2023) - [i37]Eli Verwimp, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, Eyke Hüllermeier, Christopher Kanan, Dhireesha Kudithipudi, Christoph H. Lampert, Martin Mundt, Razvan Pascanu, Adrian Popescu, Andreas S. Tolias, Joost van de Weijer, Bing Liu, Vincenzo Lomonaco, Tinne Tuytelaars, Gido M. van de Ven:
Continual Learning: Applications and the Road Forward. CoRR abs/2311.11908 (2023) - [i36]Tinne Tuytelaars, Bing Liu, Vincenzo Lomonaco, Gido van de Ven, Andrea Cossu:
Deep Continual Learning (Dagstuhl Seminar 23122). Dagstuhl Reports 13(3): 74-91 (2023) - 2022
- [j9]Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni:
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. Artif. Intell. 303: 103635 (2022) - [j8]Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco:
Is Class-Incremental Enough for Continual Learning? Frontiers Artif. Intell. 5: 829842 (2022) - [j7]Chuanlin Lan, Fan Feng, Qi Liu, Qi She, Qihan Yang, Xinyue Hao, Ivan Mashkin, Ka Shun Kei, Dong Qiang, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, Fei Qiao, Rosa H. M. Chan:
Towards lifelong object recognition: A dataset and benchmark. Pattern Recognit. 130: 108819 (2022) - [c23]Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu:
Ex-Model: Continual Learning from a Stream of Trained Models. CVPR Workshops 2022: 3789-3798 - [c22]Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu:
Continual Learning for Human State Monitoring. ESANN 2022 - [c21]Nicolò Lucchesi, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu:
Avalanche RL: A Continual Reinforcement Learning Library. ICIAP (1) 2022: 524-535 - [c20]Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu:
Practical Recommendations for Replay-Based Continual Learning Methods. ICIAP Workshops 2022: 548-559 - [c19]Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu:
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. PerCom Workshops 2022: 91-93 - [c18]Rudy Semola, Vincenzo Lomonaco, Davide Bacciu:
Continual-Learning-as-a-Service (CLaaS): On-Demand Efficient Adaptation of Predictive Models. CI4PM/PAI@WCCI 2022: 46-55 - [e1]Fabio Cuzzolin, Kevin Cannons, Vincenzo Lomonaco:
Continual Semi-Supervised Learning - First International Workshop, CSSL 2021, Virtual Event, August 19-20, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13418, Springer 2022, ISBN 978-3-031-17586-2 [contents] - [i35]Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu:
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. CoRR abs/2202.01645 (2022) - [i34]Nicolò Lucchesi, Antonio Carta, Vincenzo Lomonaco:
Avalanche RL: a Continual Reinforcement Learning Library. CoRR abs/2202.13657 (2022) - [i33]Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu:
Practical Recommendations for Replay-based Continual Learning Methods. CoRR abs/2203.10317 (2022) - [i32]Gabriele Graffieti, Davide Maltoni, Lorenzo Pellegrini, Vincenzo Lomonaco:
Generative Negative Replay for Continual Learning. CoRR abs/2204.05842 (2022) - [i31]Andrea Cossu, Tinne Tuytelaars, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Davide Bacciu:
Continual Pre-Training Mitigates Forgetting in Language and Vision. CoRR abs/2205.09357 (2022) - [i30]Rudy Semola, Vincenzo Lomonaco, Davide Bacciu:
Continual-Learning-as-a-Service (CLaaS): On-Demand Efficient Adaptation of Predictive Models. CoRR abs/2206.06957 (2022) - [i29]Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu:
Continual Learning for Human State Monitoring. CoRR abs/2207.00010 (2022) - [i28]Julio Hurtado, Alain Raymond-Saez, Vladimir Araujo, Vincenzo Lomonaco, Davide Bacciu:
It's all About Consistency: A Study on Memory Composition for Replay-Based Methods in Continual Learning. CoRR abs/2207.01145 (2022) - [i27]Lorenzo Pellegrini, Chenchen Zhu, Fanyi Xiao, Zhicheng Yan, Antonio Carta, Matthias De Lange, Vincenzo Lomonaco, Roshan Sumbaly, Pau Rodríguez, David Vázquez:
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. CoRR abs/2212.06833 (2022) - 2021
- [j6]Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu:
Continual learning for recurrent neural networks: An empirical evaluation. Neural Networks 143: 607-627 (2021) - [c17]Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar:
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. COINS 2021: 1-6 - [c16]Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 2021: 3600-3610 - [c15]Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco:
Continual Learning with Echo State Networks. ESANN 2021 - [c14]Lorenzo Pellegrini, Vincenzo Lomonaco, Gabriele Graffieti, Davide Maltoni:
Continual Learning at the Edge: Real-Time Training on Smartphone Devices. ESANN 2021 - [c13]Ajmal Shahbaz, Salman Khan, Mohammad Asiful Hossain, Vincenzo Lomonaco, Kevin Cannons, Zhan Xu, Fabio Cuzzolin:
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines. CSSL 2021: 1-14 - [c12]Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu:
Distilled Replay: Overcoming Forgetting Through Synthetic Samples. CSSL 2021: 104-117 - [i26]Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu:
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation. CoRR abs/2103.07492 (2021) - [i25]Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu:
Distilled Replay: Overcoming Forgetting through Synthetic Samples. CoRR abs/2103.15851 (2021) - [i24]Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: an End-to-End Library for Continual Learning. CoRR abs/2104.00405 (2021) - [i23]Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco:
Continual Learning with Echo State Networks. CoRR abs/2105.07674 (2021) - [i22]Lorenzo Pellegrini, Vincenzo Lomonaco, Gabriele Graffieti, Davide Maltoni:
Continual Learning at the Edge: Real-Time Training on Smartphone Devices. CoRR abs/2105.13127 (2021) - [i21]Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar:
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. CoRR abs/2107.06543 (2021) - [i20]Ajmal Shahbaz, Salman Khan, Mohammad Asiful Hossain, Vincenzo Lomonaco, Kevin Cannons, Zhan Xu, Fabio Cuzzolin:
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines. CoRR abs/2110.14613 (2021) - [i19]Andrea Cossu, Marta Ziosi, Vincenzo Lomonaco:
Sustainable Artificial Intelligence through Continual Learning. CoRR abs/2111.09437 (2021) - [i18]Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco:
Is Class-Incremental Enough for Continual Learning? CoRR abs/2112.02925 (2021) - [i17]Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu:
Ex-Model: Continual Learning from a Stream of Trained Models. CoRR abs/2112.06511 (2021) - 2020
- [j5]Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini:
Efficient continual learning in neural networks with embedding regularization. Neurocomputing 397: 139-148 (2020) - [j4]Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz Rodríguez:
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges. Inf. Fusion 58: 52-68 (2020) - [j3]Heechul Bae, Eoin Brophy, Rosa H. M. Chan, Baoquan Chen, Fan Feng, Gabriele Graffieti, Vidit Goel, Xinyue Hao, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Chuanlin Lan, Qi Liu, Vincenzo Lomonaco, Liang Ma, Davide Maltoni, German Ignacio Parisi, Lorenzo Pellegrini, Duvindu Piyasena, Shiliang Pu, Qi She, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qihan Yang, Qiaoyong Zhong, Liguang Zhou:
IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions]. IEEE Robotics Autom. Mag. 27(2): 11-16 (2020) - [c11]Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini:
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches. CVPR Workshops 2020: 989-998 - [c10]Vincenzo Lomonaco, Karan Desai, Eugenio Culurciello, Davide Maltoni:
Continual Reinforcement Learning in 3D Non-stationary Environments. CVPR Workshops 2020: 999-1008 - [c9]Qi She, Fan Feng, Xinyue Hao, Qihan Yang, Chuanlin Lan, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, Fei Qiao, Rosa H. M. Chan:
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning. ICRA 2020: 4767-4773 - [c8]Lorenzo Pellegrini, Gabriele Graffieti, Vincenzo Lomonaco, Davide Maltoni:
Latent Replay for Real-Time Continual Learning. IROS 2020: 10203-10209 - [c7]Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi, Francesco Conti, Lorenzo Pellegrini, Vincenzo Lomonaco, Davide Maltoni, Luca Benini:
Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node. SiPS 2020: 1-6 - [i16]German Ignacio Parisi, Vincenzo Lomonaco:
Online Continual Learning on Sequences. CoRR abs/2003.09114 (2020) - [i15]Qi She, Fan Feng, Qi Liu, Rosa H. M. Chan, Xinyue Hao, Chuanlin Lan, Qihan Yang, Vincenzo Lomonaco, German Ignacio Parisi, Heechul Bae, Eoin Brophy, Baoquan Chen, Gabriele Graffieti, Vidit Goel, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Liang Ma, Davide Maltoni, Lorenzo Pellegrini, Duvindu Piyasena, Shiliang Pu, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qiaoyong Zhong, Liguang Zhou:
IROS 2019 Lifelong Robotic Vision Challenge - Lifelong Object Recognition Report. CoRR abs/2004.14774 (2020) - [i14]Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi, Francesco Conti, Lorenzo Pellegrini, Vincenzo Lomonaco, Davide Maltoni, Luca Benini:
Memory-Latency-Accuracy Trade-offs for Continual Learning on a RISC-V Extreme-Edge Node. CoRR abs/2007.13631 (2020) - [i13]Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni:
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions. CoRR abs/2009.09929 (2020)
2010 – 2019
- 2019
- [b1]Vincenzo Lomonaco:
Continual Learning with Deep Architectures. University of Bologna, Italy, 2019 - [j2]Davide Maltoni, Vincenzo Lomonaco:
Continuous learning in single-incremental-task scenarios. Neural Networks 116: 56-73 (2019) - [c6]German Ignacio Parisi, Vincenzo Lomonaco:
Online Continual Learning on Sequences. INNSBDDL (Tutorials) 2019: 197-221 - [i12]Vincenzo Lomonaco, Karan Desai, Eugenio Culurciello, Davide Maltoni:
Continual Reinforcement Learning in 3D Non-stationary Environments. CoRR abs/1905.10112 (2019) - [i11]Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz Rodríguez:
Continual Learning for Robotics. CoRR abs/1907.00182 (2019) - [i10]Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini:
Fine-Grained Continual Learning. CoRR abs/1907.03799 (2019) - [i9]Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini:
Efficient Continual Learning in Neural Networks with Embedding Regularization. CoRR abs/1909.03742 (2019) - [i8]Qi She, Fan Feng, Xinyue Hao, Qihan Yang, Chuanlin Lan, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, Fei Qiao, Rosa H. M. Chan:
OpenLORIS-Object: A Dataset and Benchmark towards Lifelong Object Recognition. CoRR abs/1911.06487 (2019) - [i7]Lorenzo Pellegrini, Gabriele Graffieti, Vincenzo Lomonaco, Davide Maltoni:
Latent Replay for Real-Time Continual Learning. CoRR abs/1912.01100 (2019) - 2018
- [c5]Claudia Carpineti, Vincenzo Lomonaco, Luca Bedogni, Marco Di Felice, Luciano Bononi:
Custom Dual Transportation Mode Detection By Smartphone Devices Exploiting Sensor Diversity. PerCom Workshops 2018: 367-372 - [i6]Davide Maltoni, Vincenzo Lomonaco:
Continuous Learning in Single-Incremental-Task Scenarios. CoRR abs/1806.08568 (2018) - [i5]Claudia Carpineti, Vincenzo Lomonaco, Luca Bedogni, Marco Di Felice, Luciano Bononi:
Custom Dual Transportation Mode Detection by Smartphone Devices Exploiting Sensor Diversity. CoRR abs/1810.05596 (2018) - [i4]Natalia Díaz Rodríguez, Vincenzo Lomonaco, David Filliat, Davide Maltoni:
Don't forget, there is more than forgetting: new metrics for Continual Learning. CoRR abs/1810.13166 (2018) - [i3]Vincenzo Lomonaco, Angelo Trotta, Marta Ziosi, Juan de Dios Yáñez Ávila, Natalia Díaz Rodríguez:
Intelligent Drone Swarm for Search and Rescue Operations at Sea. CoRR abs/1811.05291 (2018) - 2017
- [c4]Vincenzo Lomonaco, Davide Maltoni:
CORe50: a New Dataset and Benchmark for Continuous Object Recognition. CoRL 2017: 17-26 - [i2]Vincenzo Lomonaco, Davide Maltoni:
CORe50: a New Dataset and Benchmark for Continuous Object Recognition. CoRR abs/1705.03550 (2017) - 2016
- [c3]Vincenzo Lomonaco, Davide Maltoni:
Comparing Incremental Learning Strategies for Convolutional Neural Networks. ANNPR 2016: 175-184 - [c2]Davide Maltoni, Vincenzo Lomonaco:
Semi-supervised tuning from temporal coherence. ICPR 2016: 2509-2514 - [c1]Daniel Russo, Vincenzo Lomonaco, Paolo Ciancarini:
A Machine Learning Approach for Continuous Development. SEDA 2016: 109-119 - 2015
- [i1]Davide Maltoni, Vincenzo Lomonaco:
Semi-supervised Tuning from Temporal Coherence. CoRR abs/1511.03163 (2015) - 2014
- [j1]Vincenzo Lomonaco, Riccardo Martoglia, Federica Mandreoli, Laura Anderlucci, Warren Emmett, Silvio Bicciato, Cristian Taccioli:
UCbase 2.0: ultraconserved sequences database (2014 update). Database J. Biol. Databases Curation 2014 (2014)
Coauthor Index