Mehrtash Harandi
4 papers in the PaperMetrix corpus
Papers by this author
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Learning a Gradient-free Riemannian Optimizer on Tangent Spaces
2021 · Proceedings of the AAAI Conference on Artificial Intelligence
A principal way of addressing constrained optimization problems is to model them as problems on Riemannian manifolds. Recently, Riemannian meta-optimization provides a promising way for solving constrained optimization problems by learning optimizers on Riemannian manifolds …
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Towards a Robust Differentiable Architecture Search under Label Noise
2022 · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Neural Architecture Search (NAS) is the game changer in designing robust neural architectures. Architectures designed by NAS outperform or compete with the best manual network designs in terms of accuracy, size, memory footprint and FLOPs. …
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Subspace distillation for continual learning
2023 · Neural Networks
An ultimate objective in continual learning is to preserve knowledge learned in preceding tasks while learning new tasks. To mitigate forgetting prior knowledge, we propose a novel knowledge distillation technique that takes into the account …
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Sharpness-Aware Teleportation on Riemannian Manifolds
2023 · arXiv (Cornell University)
Recent studies highlight the effectiveness of flat minima in enhancing generalization, with sharpness-aware minimization (SAM) achieving state-of-the-art performance. Additionally, insights into the intrinsic geometry of the loss landscape have shown promise for improving model generalization. …