activity
20202025
most citedDo All MobileNets Quantize Poorly? Gaining Insights into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-scale Distributional Dynamics

5 citations · 8 across the 8 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.LG2022

GHN-Q: Parameter Prediction for Unseen Quantized Convolutional Architectures via Graph Hypernetworks

Stone Yun, Alexander Wong

Deep convolutional neural network (CNN) training via iterative optimization has had incredible success in finding optimal parameters. However, modern CNN architectures often contai…

cs.CV2022

Reproducing BowNet: Learning Representations by Predicting Bags of Visual Words

Harry Nguyen, Stone Yun, Hisham Mohammad

This work aims to reproduce results from the CVPR 2020 paper by Gidaris et al. Self-supervised learning (SSL) is used to learn feature representations of an image using an unlabele…