193 citations · 348 across the 28 of their papers we have counts for
4 papers · 1 filter
Variational Saccading: Efficient Inference for Large Resolution Images
Jason Ramapuram, Maurits Diephuis, Frantzeska Lavda +2
Image classification with deep neural networks is typically restricted to images of small dimensionality such as 224 x 244 in Resnet models [24]. This limitation excludes the 4000…
Continual Classification Learning Using Generative Models
Frantzeska Lavda, Jason Ramapuram, Magda Gregorova +1
Continual learning is the ability to sequentially learn over time by accommodating knowledge while retaining previously learned experiences. Neural networks can learn multiple task…
A New Benchmark and Progress Toward Improved Weakly Supervised Learning
Jason Ramapuram, Russ Webb
Knowledge Matters: Importance of Prior Information for Optimization [7], by Gulcehre et. al., sought to establish the limits of current black-box, deep learning techniques by posin…
Large-scale Nonlinear Variable Selection via Kernel Random Features
Magda Gregorová, Jason Ramapuram, Alexandros Kalousis +1
We propose a new method for input variable selection in nonlinear regression. The method is embedded into a kernel regression machine that can model general nonlinear functions, no…