Research
- Continual Learning for Autoregressive PDE Surrogates under Evolving Physical Regimes Hamed Hemati, Binh Duong Nguyen, Stefan Sandfeld
- Continual Learning in the Presence of Repetition 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 Ven
- Sample Weight Estimation Using Meta-Updates for Online Continual Learning Hamed Hemati, Damian Borth
- A Comprehensive Empirical Evaluation on Online Continual Learning Albin Soutif–Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Hamed Hemati, Vincenzo Lomonaco, Joost Van Weijer
- Avalanche: A PyTorch Library for Deep Continual Learning Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati, Vincenzo Lomonaco
- Partial Hypernetworks for Continual Learning Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth
- Class-Incremental Learning with Repetition Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth
- Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing Marco Schreyer, Hamed Hemati, Damian Borth, Miklos A. Vasarhelyi
- Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition Shijun Wang, Hamed Hemati, Jón Guðnason, Damian Borth
- Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data Hamed Hemati, Marco Schreyer, Damian Borth
- Continual Speaker Adaptation for Text-to-Speech Synthesis Hamed Hemati, Damian Borth
- Using IPA-Based Tacotron for Data Efficient Cross-Lingual Speaker Adaptation and Pronunciation Enhancement Hamed Hemati, Damian Borth
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