Filliat, David

1. Continual Learning for Robotics: Definition, Framework, Learning\n Strategies, Opportunities and Challenges
   2019/06/29 by Timothée Lesort, Lesort, Timothée, Vincenzo Lomonaco +9 · 13 citations
   Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Viral Infections and Outbreaks Research
2. Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
   2021/04/02 by Thomas Rojat, Rojat, Thomas, Raphaël Puget +9 · 10 citations
   Computer Science · #Time Series Analysis and Forecasting #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare
3. Don't forget, there is more than forgetting: new metrics for Continual\n Learning
   2018/10/31 by Natalia Díaz-Rodríguez, Díaz-Rodríguez, Natalia, Vincenzo Lomonaco +5 · 4 citations
   Computer Science · #68T05 #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE) #cs.AI #cs.CV #cs.LG #cs.NE #stat.ML
4. Continual State Representation Learning for Reinforcement Learning using Generative Replay
   2018/10/09 by Hugo Caselles-Dupré, M. Ortíz, Caselles-Dupré, Hugo +3 · 5 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Reinforcement Learning in Robotics
5. Symmetry-Based Disentangled Representation Learning requires Interaction with Environments
   2019/03/30 by Caselles-Dupré, Hugo, Garcia-Ortiz, Michael, Filliat, David · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay
   2019/02/25 by Caselles-Dupré, Hugo, Garcia-Ortiz, Michael, Filliat, David · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. A study of deep perceptual metrics for image quality assessment
   2022/02/17 by Kazmierczak, Rémi, Franchi, Gianni, Belkhir, Nacim +2 · 2 citations
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR)
8. DisCoRL: Continual Reinforcement Learning via Policy Distillation
   2019/07/11 by Kalifou René Traoré, Traoré, René, Hugo Caselles-Dupré +11 · 2 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Reinforcement Learning in Robotics #Multimodal Machine Learning Applications
9. Unsupervised state representation learning with robotic priors: a robustness benchmark
   2017/09/15 by Lesort, Timothée, Seurin, Mathieu, Li, Xinrui +2 · 1 citation
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics (cs.RO)
10. Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics
    2019/01/24 by Raffin, Antonin, Hill, Ashley, Traoré, René +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
11. Generative Models from the perspective of Continual Learning
    2018/12/21 by Lesort, Timothée, Caselles-Dupré, Hugo, Garcia-Ortiz, Michael +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
12. Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer
    2019/06/11 by Traoré, René, Caselles-Dupré, Hugo, Lesort, Timothée +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
13. Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting
    2024/03/26 by Adrien Lafage, Mathieu Barbier, Lafage, Adrien +5 · 2 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Data Management and Algorithms #FOS: Computer and information sciences #Time Series Analysis and Forecasting #Traffic Prediction and Management Techniques
14. MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks
    2022/03/02 by Franchi, Gianni, Yu, Xuanlong, Bursuc, Andrei +5 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
15. A Simple yet Effective Test-Time Adaptation for Zero-Shot Monocular Metric Depth Estimation
    2024/12/18 by Rémi Marsal, Alexandre Chapoutot, Marsal, Rémi +5 · 2 citations
    Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection
16. Benchmarking XAI Explanations with Human-Aligned Evaluations
    2024/11/04 by Rémi Kazmierczak, Steve Azzolin, Kazmierczak, Rémi +20 · 1 citation
    Computer Science · Decision Sciences · #Advanced Database Systems and Queries #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Scientific Computing and Data Management #Semantic Web and Ontologies