Ekdeep Singh Lubana | DeepAI

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∙ 11/15/2022

Mechanistic Mode Connectivity

Neural networks are known to be biased towards learning mechanisms that ...

0 Ekdeep Singh Lubana, et al. ∙

∙ 10/02/2022

What shapes the loss landscape of self-supervised learning?

Prevention of complete and dimensional collapse of representations has r...

0 Liu Ziyin, et al. ∙

∙ 05/23/2022

Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering

Federated learning is generally used in tasks where labels are readily a...

0 Ekdeep Singh Lubana, et al. ∙

∙ 11/05/2021

Augmentations in Graph Contrastive Learning: Current Methodological Flaws Towards Better Practices

Graph classification has applications in bioinformatics, social sciences...

0 Puja Trivedi, et al. ∙

∙ 06/10/2021

Beyond BatchNorm: Towards a General Understanding of Normalization in Deep Learning

Inspired by BatchNorm, there has been an explosion of normalization laye...

0 Ekdeep Singh Lubana, et al. ∙

∙ 02/04/2021

Rethinking Quadratic Regularizers: Explicit Movement Regularization for Continual Learning

Quadratic regularizers are often used for mitigating catastrophic forget...

0 Ekdeep Singh Lubana, et al. ∙

∙ 09/24/2020

A Gradient Flow Framework For Analyzing Network Pruning

Recent network pruning methods focus on pruning models early-on in train...

0 Ekdeep Singh Lubana, et al. ∙

∙ 09/10/2020

OrthoReg: Robust Network Pruning Using Orthonormality Regularization

Network pruning in Convolutional Neural Networks (CNNs) has been extensi...

0 Ekdeep Singh Lubana, et al. ∙

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