182 citations · 195 across the 8 of their papers we have counts for
4 papers · 1 filter
Self-Supervised Neural Architecture Search for Imbalanced Datasets
Aleksandr Timofeev, Grigorios G. Chrysos, Volkan Cevher
Neural Architecture Search (NAS) provides state-of-the-art results when trained on well-curated datasets with annotated labels. However, annotating data or even having balanced num…
Tensor Methods in Computer Vision and Deep Learning
Yannis Panagakis, Jean Kossaifi, Grigorios G. Chrysos +4
Tensors, or multidimensional arrays, are data structures that can naturally represent visual data of multiple dimensions. Inherently able to efficiently capture structured, latent…
Poly-NL: Linear Complexity Non-local Layers with Polynomials
Francesca Babiloni, Ioannis Marras, Filippos Kokkinos +3
Spatial self-attention layers, in the form of Non-Local blocks, introduce long-range dependencies in Convolutional Neural Networks by computing pairwise similarities among all poss…
CoPE: Conditional image generation using Polynomial Expansions
Grigorios G Chrysos, Markos Georgopoulos, Yannis Panagakis
Generative modeling has evolved to a notable field of machine learning. Deep polynomial neural networks (PNNs) have demonstrated impressive results in unsupervised image generation…