Kevin Shen·Feb 13, 2021Warp Speed Notes on Viruses and VaccinesI spent a weekend learning about viruses and vaccines in preparation for taking the covid-19 vaccine. The result is the following set of…
InMini DistillbyKevin Shen·Jun 22, 2018Discrete Optimization: beyond REINFORCEGumbel Softmax (a.k.a. Concrete distribution)A response icon3A response icon3
InMini DistillbyKevin Shen·Jun 19, 2018Effect of batch size on training dynamicsThis is a longer blogpost where I discuss results of experiments I ran myself.A response icon23A response icon23
InMini DistillbyKevin Shen·Jun 19, 2018(PPS) DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and…This paper deals with semantic segmentation: the task of labeling pixels in an image by their object classes. The goal of semantic…
InMini DistillbyKevin Shen·Jun 19, 2018(PPS) Efficient Deep Learning for Stereo MatchingThis is another paper on stereo matching: the task of matching pixels from two different pictures to deduce depth information. A common…A response icon1A response icon1
InMini DistillbyKevin Shen·Jun 18, 2018(PPS) Dynamic Routing Between CapsulesCapsules is one of the recent works coming from Geoff Hinton which is why it’s so hyped up (I think an independent implementation came out…
InMini DistillbyKevin Shen·Jun 18, 2018(PPS) Deformable Convolutional NetworksThe basic idea of this paper is to give the convolution and pooling layers the ability to model different orientations and scales of…
InMini DistillbyKevin Shen·Jun 18, 2018(PPS) Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo MatchingThis paper tackles stereo matching which is the task of matching pixels from two images taken with two different cameras to deduce depth…
