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Hamed Hemati
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2020 – today
- 2024
- [i11]Hamed Hemati, Damian Borth:
Sample Weight Estimation Using Meta-Updates for Online Continual Learning. CoRR abs/2401.15973 (2024) - [i10]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) - 2023
- [j1]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) - [c4]Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth:
Partial Hypernetworks for Continual Learning. CoLLAs 2023: 318-336 - [c3]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 - [c2]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 - [i9]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) - [i8]Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati, Vincenzo Lomonaco:
Avalanche: A PyTorch Library for Deep Continual Learning. CoRR abs/2302.01766 (2023) - [i7]Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth:
Partial Hypernetworks for Continual Learning. CoRR abs/2306.10724 (2023) - [i6]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) - 2022
- [c1]Shijun Wang, Hamed Hemati, Jón Guðnason, Damian Borth:
Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition. INTERSPEECH 2022: 391-395 - [i5]Shijun Wang, Hamed Hemati, Jón Guðnason, Damian Borth:
Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition. CoRR abs/2208.04994 (2022) - [i4]Marco Schreyer, Hamed Hemati, Damian Borth, Miklos A. Vasarhelyi:
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing. CoRR abs/2210.15051 (2022) - 2021
- [i3]Hamed Hemati, Damian Borth:
Continual Speaker Adaptation for Text-to-Speech Synthesis. CoRR abs/2103.14512 (2021) - [i2]Hamed Hemati, Marco Schreyer, Damian Borth:
Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data. CoRR abs/2112.13215 (2021) - 2020
- [i1]Hamed Hemati, Damian Borth:
Using IPA-Based Tacotron for Data Efficient Cross-Lingual Speaker Adaptation and Pronunciation Enhancement. CoRR abs/2011.06392 (2020)
Coauthor Index
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