1.3k citations · 4.9k across the 150 of their papers we have counts for
23 papers · 1 filter
MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages
Shashank Sonkar, Zichao Wang, Richard G. Baraniuk
This paper investigates the problem of Named Entity Recognition (NER) for extreme low-resource languages with only a few hundred tagged data samples. NER is a fundamental task in N…
Foveated Thermal Computational Imaging in the Wild Using All-Silicon Meta-Optics
Vishwanath Saragadam, Zheyi Han, Vivek Boominathan +7
Foveated imaging provides a better tradeoff between situational awareness (field of view) and resolution and is critical in long-wavelength infrared regimes because of the size, we…
Frozen Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks
Yehuda Dar, Lorenzo Luzi, Richard G. Baraniuk
We study the generalization behavior of transfer learning of deep neural networks (DNNs). We adopt the overparameterization perspective -- featuring interpolation of the training d…
Asymptotics of the Sketched Pseudoinverse
Daniel LeJeune, Pratik Patil, Hamid Javadi +2
We take a random matrix theory approach to random sketching and show an asymptotic first-order equivalence of the regularized sketched pseudoinverse of a positive semidefinite matr…
TITAN: Bringing The Deep Image Prior to Implicit Representations
Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi +6
We study the interpolation capabilities of implicit neural representations (INRs) of images. In principle, INRs promise a number of advantages, such as continuous derivatives and a…
A Visual Tour Of Current Challenges In Multimodal Language Models
Shashank Sonkar, Naiming Liu, Richard G. Baraniuk
Transformer models trained on massive text corpora have become the de facto models for a wide range of natural language processing tasks. However, learning effective word represent…