[2010]
Large-scale Image Classification: Fast Feature Extraction and SVM Training
[2011]
High-dimensional signature compression for large-scale image classification
Paper reading - Dropout as a Bayesian Approximation: Representing Model Uncer...Akisato Kimura
Introducing the paper "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning" presented in ICML2016 (in Japanese).
Updated version of https://www.slideshare.net/akisatokimura/paper-reading-dropout-as-a-bayesian-approximation-representing-model-uncertainty-in-deep-learning
論文紹介:Tracking Anything with Decoupled Video SegmentationToru Tamaki
Ho Kei Cheng, Seoung Wug Oh, Brian Price, Alexander Schwing, Joon-Young Lee, " Tracking Anything with Decoupled Video Segmentation " ICCV2023
https://openaccess.thecvf.com/content/ICCV2023/html/Cheng_Tracking_Anything_with_Decoupled_Video_Segmentation_ICCV_2023_paper.html
Paper reading - Dropout as a Bayesian Approximation: Representing Model Uncer...Akisato Kimura
A stale version, please check https://www.slideshare.net/akisatokimura/paper-reading-dropout-as-a-bayesian-approximation-representing-model-uncertainty-in-deep-learning-166237519 for a new version.
Introducing the paper "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning" presented in ICML2016 (in Japanese).
文献紹介:Multi-dataset Training of Transformers for Robust Action RecognitionToru Tamaki
Junwei Liang, Enwei Zhang, Jun Zhang, Chunhua Shen, "Multi-dataset Training of Transformers for Robust Action Recognition" NeurIPS2022
https://arxiv.org/abs/2209.12362
https://openreview.net/forum?id=aGFQDrNb-KO
Introduction of "TrailBlazer" algorithmKatsuki Ohto
論文「Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning」紹介スライドです。NIPS2016読み会@PFN(2017/1/19) https://connpass.com/event/47580/ にて。