Dr Gabriel Leivas Oliveira
BSc, MSc, MSc, PhD
Expertise
My research focuses on robust and efficient machine learning algorithms, with emphasis on generalization and computational efficiency. My research interests also include computer vision, time series and multi-task learning.
Current positions
Lecturer in Artificial Intelligence
School of Engineering Mathematics and Technology
Contact
Press and media
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Research interests
Robust Machine Learning, Computer Vision, Generalization, Robotics
Publications
Selected publications
24/04/2025Uncertainty Herding: One Active Learning Method for All Label Budgets
International Conference on Learning Representations (ICLR)
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics
ICML 2024
Efficient Deep Models for Monocular Road Segmentation.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Recent publications
24/04/2025Uncertainty Herding: One Active Learning Method for All Label Budgets
International Conference on Learning Representations (ICLR)
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics
ICML 2024
AdaFlood: Adaptive Flood Regularization
Transactions on Machine Learning Research (TMLR)
DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
Gumbel-Softmax Selective Networks
Challenges in Deploying and Monitoring Machine Learning Systems workshop - NeurIPS, 2022