92 citations · 144 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Scale-Agnostic Kolmogorov-Arnold Geometry in Neural Networks
Mathew Vanherreweghe, Michael H. Freedman, Keith M. Adams
Recent work by Freedman and Mulligan demonstrated that shallow multilayer perceptrons spontaneously develop Kolmogorov-Arnold geometric (KAG) structure during training on synthetic…
cs.CL2017★ 92 cited
StarSpace: Embed All The Things!
Ledell Wu, Adam Fisch, Sumit Chopra +3
We present StarSpace, a general-purpose neural embedding model that can solve a wide variety of problems: labeling tasks such as text classification, ranking tasks such as informat…
cs.LG2013★ 52 cited
Multi-GPU Training of ConvNets
Omry Yadan, Keith Adams, Yaniv Taigman +1
In this work we evaluate different approaches to parallelize computation of convolutional neural networks across several GPUs.