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Found 5 papers, 0 papers with code
Three-dimensional spike localization and improved motion correction for Neuropixels recordings
Neuropixels (NP) probes are dense linear multi-electrode arrays that have rapidly become essential tools for studying the electrophysiology of large neural populations.
Intent-based Product Collections for E-commerce using Pretrained Language Models
In this paper, we use a pretrained language model (PLM) that leverages textual attributes of web-scale products to make intent-based product collections.
FALCON: Lightweight and Accurate Convolution
By exploiting the knowledge of a trained standard model and carefully determining the order of depthwise separable convolution via GEP, FALCON achieves sufficient accuracy close to that of the trained standard model.
FALCON: Fast and Lightweight Convolution for Compressing and Accelerating CNN
A promising direction is based on depthwise separable convolution which replaces a standard convolution with a depthwise convolution and a pointwise convolution.
