8 citations · 23 across the 21 of their papers we have counts for
5 papers · 1 filter
Challenges of Adversarial Image Augmentations
Arno Blaas, Xavier Suau, Jason Ramapuram +2
Image augmentations applied during training are crucial for the generalization performance of image classifiers. Therefore, a large body of research has focused on finding the opti…
Do Self-Supervised and Supervised Methods Learn Similar Visual Representations?
Tom George Grigg, Dan Busbridge, Jason Ramapuram +1
Despite the success of a number of recent techniques for visual self-supervised deep learning, there has been limited investigation into the representations that are ultimately lea…
Stochastic Contrastive Learning
Jason Ramapuram, Dan Busbridge, Xavier Suau +1
While state-of-the-art contrastive Self-Supervised Learning (SSL) models produce results competitive with their supervised counterparts, they lack the ability to infer latent varia…
Evaluating the fairness of fine-tuning strategies in self-supervised learning
Jason Ramapuram, Dan Busbridge, Russ Webb
In this work we examine how fine-tuning impacts the fairness of contrastive Self-Supervised Learning (SSL) models. Our findings indicate that Batch Normalization (BN) statistics pl…
Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory
Jason Ramapuram, Yan Wu, Alexandros Kalousis
Episodic and semantic memory are critical components of the human memory model. The theory of complementary learning systems (McClelland et al., 1995) suggests that the compressed…