Noel Loo
8 papers · 2021–2024 · 3 conferences · across top CS/AI conferences
Achievements
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Conference Polyglot
(3)
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Interdisciplinary Bridge
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Cross-Pollinator
(15)
Conferences
ICLR (3)
NIPS (3)
ICML (2)
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Keywords
dataset distillation
(3)
neural tangent kernel
(3)
kernel ridge regression
(2)
adversarial robustness
(1)
convex optimization
(1)
knowledge distillation
(1)
adversarial training
(1)
random feature approximation
(1)
kernel learning
(1)
excess risk
(1)
approximation error
(1)
bi-level optimization
(1)
random fourier feature
(1)
core set
(1)
implicit gradient
(1)
model compression
(1)
lazy training
(1)
image classification
(1)
feature learning
(1)
Papers
Large Scale Dataset Distillation with Domain Shift
ICML 2024
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
ICLR 2024
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control
ICLR 2024
Dataset Distillation with Convexified Implicit Gradients
ICML 2023
On the Size and Approximation Error of Distilled Datasets
NIPS 2023
Evolution of Neural Tangent Kernels under Benign and Adversarial Training
NIPS 2022
Efficient Dataset Distillation using Random Feature Approximation
NIPS 2022
Generalized Variational Continual Learning
ICLR 2021