Antonio Barbalau

According to our database, Antonio Barbalau authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Curriculum-enhanced GroupDRO: Challenging the Norm of Avoiding Curriculum Learning in Subpopulation Shift Setups.

Antonio Barbalau

CoRR, 2024

ConceptDrift: Uncovering Biases through the Lens of Foundational Models.

Cristian Daniel Paduraru, Antonio Barbalau, Radu Filipescu, Andrei Liviu Nicolicioiu, Elena Burceanu

CoRR, 2024

2023

SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection.

Antonio Barbalau, Radu Tudor Ionescu, Mariana-Iuliana Georgescu, Jacob V. Dueholm, Bharathkumar Ramachandra, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah

Comput. Vis. Image Underst., March, 2023

2022

VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web.

Andrei Manolache, Florin Brad, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Rethinking the Authorship Verification Experimental Setups.

Florin Brad, Andrei Manolache, Elena Burceanu, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Transferring BERT-like Transformers' Knowledge for Authorship Verification.

Andrei Manolache, Florin Brad, Elena Burceanu, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu

CoRR, 2021

Anomaly Detection in Video via Self-Supervised and Multi-Task Learning.

Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI.

Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu, Marius Popescu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Black-Box Ripper: Copying black-box models using generative evolutionary algorithms.

Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu, Marius Popescu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020