Hamed Hemati | DeepAI

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∙ 08/20/2023

A Comprehensive Empirical Evaluation on Online Continual Learning

Online continual learning aims to get closer to a live learning experien...

0 Albin Soutif--Cormerais, et al. ∙

∙ 06/19/2023

Partial Hypernetworks for Continual Learning

Hypernetworks mitigate forgetting in continual learning (CL) by generati...

0 Hamed Hemati, et al. ∙

∙ 02/02/2023

Avalanche: A PyTorch Library for Deep Continual Learning

Continual learning is the problem of learning from a nonstationary strea...

0 Antonio Carta, et al. ∙

∙ 01/26/2023

Class-Incremental Learning with Repetition

Real-world data streams naturally include the repetition of previous con...

13 Hamed Hemati, et al. ∙

∙ 10/26/2022

Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing

The International Standards on Auditing require auditors to collect reas...

12 Marco Schreyer, et al. ∙

∙ 08/09/2022

Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition

Speech Emotion Recognition (SER) is crucial for human-computer interacti...

0 Shijun Wang, et al. ∙

∙ 12/25/2021

Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data

International audit standards require the direct assessment of a financi...

4 Hamed Hemati, et al. ∙

∙ 03/26/2021

Continual Speaker Adaptation for Text-to-Speech Synthesis

Training a multi-speaker Text-to-Speech (TTS) model from scratch is comp...

19 Hamed Hemati, et al. ∙

∙ 11/12/2020

Using IPA-Based Tacotron for Data Efficient Cross-Lingual Speaker Adaptation and Pronunciation Enhancement

Recent neural Text-to-Speech (TTS) models have been shown to perform ver...

0 Hamed Hemati, et al. ∙

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