Search Results - "Loo, Noel"

A real‐world evaluation of the implementation of NLP technology in abstract screening of a systematic review by Perlman‐Arrow, Sara, Loo, Noel, Bobrovitz, Niklas, Yan, Tingting, Arora, Rahul K.

“…The laborious and time‐consuming nature of systematic review production hinders the dissemination of up‐to‐date evidence synthesis. Well‐performing natural…”
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Linear Projections of Teacher Embeddings for Few-Class Distillation by Loo, Noel, Iliopoulos, Fotis, Hu, Wei, Vee, Erik

“…Knowledge Distillation (KD) has emerged as a promising approach for transferring knowledge from a larger, more complex teacher model to a smaller student…”
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Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control by Tumma, Neehal, Lechner, Mathias, Loo, Noel, Hasani, Ramin, Rus, Daniela

“…Developing autonomous agents that can interact with changing environments is an open challenge in machine learning. Robustness is particularly important in…”
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Dataset Distillation with Convexified Implicit Gradients by Loo, Noel, Hasani, Ramin, Lechner, Mathias, Rus, Daniela

“…We propose a new dataset distillation algorithm using reparameterization and convexification of implicit gradients (RCIG), that substantially improves the…”
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Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation by Loo, Noel, Hasani, Ramin, Lechner, Mathias, Amini, Alexander, Rus, Daniela

“…Modern deep learning requires large volumes of data, which could contain sensitive or private information that cannot be leaked. Recent work has shown for…”
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Evolution of Neural Tangent Kernels under Benign and Adversarial Training by Loo, Noel, Hasani, Ramin, Amini, Alexander, Rus, Daniela

“…Two key challenges facing modern deep learning are mitigating deep networks' vulnerability to adversarial attacks and understanding deep learning's…”
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Efficient Dataset Distillation Using Random Feature Approximation by Loo, Noel, Hasani, Ramin, Amini, Alexander, Rus, Daniela

“…Dataset distillation compresses large datasets into smaller synthetic coresets which retain performance with the aim of reducing the storage and computational…”
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Generalized Variational Continual Learning by Loo, Noel, Swaroop, Siddharth, Turner, Richard E

“…Continual learning deals with training models on new tasks and datasets in an online fashion. One strand of research has used probabilistic regularization for…”
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On the Size and Approximation Error of Distilled Sets by Maalouf, Alaa, Tukan, Murad, Loo, Noel, Hasani, Ramin, Lechner, Mathias, Rus, Daniela

“…Dataset Distillation is the task of synthesizing small datasets from large ones while still retaining comparable predictive accuracy to the original…”
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