Noel Loo

According to our database1, Noel Loo authored at least 11 papers between 2021 and 2024.

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Bibliography

2024
Linear Projections of Teacher Embeddings for Few-Class Distillation.
CoRR, 2024

Large Scale Dataset Distillation with Domain Shift.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
On the Size and Approximation Error of Distilled Sets.
CoRR, 2023

Dataset Distillation Fixes Dataset Reconstruction Attacks.
CoRR, 2023

On the Size and Approximation Error of Distilled Datasets.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dataset Distillation with Convexified Implicit Gradients.
Proceedings of the International Conference on Machine Learning, 2023

2022
Efficient Dataset Distillation using Random Feature Approximation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Evolution of Neural Tangent Kernels under Benign and Adversarial Training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Generalized Variational Continual Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021


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