Bagdanov, Andrew D.
- Class-incremental learning: survey and performance evaluation on image classification
2020/10/28 by Marc Masana, Xialei Liu, Masana, Marc +9 · 63 citations
Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI #Machine Learning and ELM
- RankIQA: Learning from Rankings for No-reference Image Quality Assessment
2017/07/26 by Liu, Xialei, van de Weijer, Joost, Bagdanov, Andrew D. · 26 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting
2018/02/08 by Xialei Liu, Marc Masana, Liu, Xialei +9 · 23 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- Generative Feature Replay For Class-Incremental Learning
2020/04/20 by Xialei Liu, Liu, Xialei, Chenshen Wu +13 · 14 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
2018/03/08 by Xialei Liu, Liu, Xialei, Joost van de Weijer +3 · 8 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Video Surveillance and Tracking Methods
- No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces
2025/02/07 by Daniel Marczak, Simone Magistri, Marczak, Daniel +9 · 25 citations
Computer Science · Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Scientific Computing and Data Management #Simulation Techniques and Applications
- RATT: Recurrent Attention to Transient Tasks for Continual Image\n Captioning
2020/07/13 by Riccardo Del Chiaro, Del Chiaro, Riccardo, Bartłomiej Twardowski +5 · 6 citations
Computer Science · #Multimodal Machine Learning Applications #Visual Attention and Saliency Detection #Advanced Image and Video Retrieval Techniques
- Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning
2024/02/06 by Simone Magistri, Tomaso Trinci, Magistri, Simone +7 · 9 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Text and Document Classification Technologies
- Continually Learning Self-Supervised Representations with Projected Functional Regularization
2021/12/30 by Alex Gomez-Villa, Gomez-Villa, Alex, Bartłomiej Twardowski +7 · 5 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
2024/07/03 by Marco Mistretta, Alberto Baldrati, Mistretta, Marco +5 · 10 citations
Computer Science · #Neural Networks and Applications
- Exemplar-free Continual Representation Learning via Learnable Drift Compensation
2024/07/11 by Alex Gomez-Villa, Gomez-Villa, Alex, Dipam Goswami +9 · 9 citations
Computer Science · #Blind Source Separation Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and ELM
- Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion
2025/02/06 by Marco Mistretta, Alberto Baldrati, Mistretta, Marco +7 · 11 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
- Long-Tailed Class Incremental Learning
2022/10/01 by Xialei Liu, Yusong Hu, Liu, Xialei +9 · 3 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM #Cancer-related molecular mechanisms research
- Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning
2022/12/16 by Xialei Liu, Jiang-Tian Zhai, Liu, Xialei +7 · 3 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
- Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning
2022/08/15 by Alessandro Sestini, Joakim Bergdahl, Sestini, Alessandro +6 · 4 citations
Computer Science · Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Digital Games and Media #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE) #Sports Analytics and Performance
- On-the-fly Network Pruning for Object Detection
2016/05/11 by Marc Masana, Joost van de Weijer, Masana, Marc +3 · 2 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Class Incremental Learning with Pre-trained Vision-Language Models
2023/10/31 by Xialei Liu, Xusheng Cao, Liu, Xialei +9 · 3 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
- How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models
2024/09/27 by Tomaso Trinci, Simone Magistri, Trinci, Tomaso +5 · 3 citations
Environmental Science · Social Sciences · #Environmental Education and Sustainability #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sustainability in Higher Education
- Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model Based Augmentation
2023/12/15 by G. Macaluso, Macaluso, Girolamo, Alessandro Sestini +3 · 2 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Software Testing and Debugging Techniques
- Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training
2022/02/16 by Zini, Simone, Gomez-Villa, Alex, Buzzelli, Marco +3 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games
2020/12/03 by Alessandro Sestini, Sestini, Alessandro, Alexander Kuhnle +3 · 1 citation
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Digital Games and Media #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation
2022/11/22 by Marco Cotogni, Fei Yang, Cotogni, Marco +7 · 1 citation
Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Sparse and Compressive Sensing Techniques
- Demonstration-efficient Inverse Reinforcement Learning in Procedurally Generated Environments
2020/12/04 by Alessandro Sestini, Alexander Kuhnle, Sestini, Alessandro +3 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Software Engineering Research #Topic Modeling
- Accurate and Efficient Low-Rank Model Merging in Core Space
2025/09/22 by Aniello Panariello, Panariello, Aniello, Daniel Marczak +13 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural Networks and Applications
- A Benchmark Environment for Offline Reinforcement Learning in Racing Games
2024/07/12 by G. Macaluso, Alessandro Sestini, Macaluso, Girolamo +3 · 1 citation
Computer Science · Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Sports Analytics and Performance