no code implementations • 18 Mar 2024 • Kevin Xu, Yeganeh Kordi, Kate Sanders, Yizhong Wang, Adam Byerly, Jack Zhang, Benjamin Van Durme, Daniel Khashabi
We evaluate the performance of state-of-the-art models, including language-only, vision-only, and layout-only models, and their combinations, on this benchmark.
no code implementations • 8 Feb 2022 • Adam Byerly, Tatiana Kalganova
We provide a definition for class density that can be used to measure the aggregate similarity of the samples within each of the classes in a high-dimensional, unstructured dataset.
no code implementations • 7 Feb 2022 • Adam Byerly, Tatiana Kalganova
We show that, for each of five datasets of increasing complexity, certain training samples are more informative of class membership than others.
1 code implementation • 27 Jan 2021 • Adam Byerly, Tatiana Kalganova, Anthony J. Grichnik
We present a dataset consisting of high-resolution images of 13 micro-PCBs captured in various rotations and perspectives relative to the camera, with each sample labeled for PCB type, rotation category, and perspective categories.
1 code implementation • 24 Jan 2020 • Adam Byerly, Tatiana Kalganova, Ian Dear
Most capsule network designs rely on traditional matrix multiplication between capsule layers and computationally expensive routing mechanisms to deal with the capsule dimensional entanglement that the matrix multiplication introduces.
Ranked #1 on Image Classification on MNIST
1 code implementation • 20 Jun 2019 • Adam Byerly, Tatiana Kalganova
Capsules, on the other hand, produce a vector of values, which Hinton argues correspond to a single, composite feature wherein the values of the components of the vectors indicate properties of the feature such as transformation or contrast.