yoshitomo-matsubara

bottlefit-split_computing

[IEEE WoWMoM 2022] "BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing"

guess-blind-entities

[JCDL WOSP 2020] "Citations Beyond Self Citations: Identifying Authors, Affiliations, and Nationalities in Scientific Papers"

hadoop-example

Run example codes on your computer to understand how Hadoop works

head-network-distillation

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

hnd-ghnd-object-detectors

[ICPR 2020] "Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks" and [ACM MobiCom EMDL 2020] "Split Computing for Complex Object Detectors: Challenges and Preliminary Results"

sc2-benchmark

[TMLR] "SC2 Benchmark: Supervised Compression for Split Computing"

split-beam

[ICDCS 2023] SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing

supervised-compression

[WACV 2022] "Supervised Compression for Resource-Constrained Edge Computing Systems"

torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

uci-cs273a-project

Basic Support for Final Projects in UCI CS 273A: Machine Learning

yoshitomo-matsubara/torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

yoshitomo-matsubara/head-network-distillation

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

yoshitomo-matsubara/supervised-compression

[WACV 2022] "Supervised Compression for Resource-Constrained Edge Computing Systems"

yoshitomo-matsubara/hnd-ghnd-object-detectors

[ICPR 2020] "Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks" and [ACM MobiCom EMDL 2020] "Split Computing for Complex Object Detectors: Challenges and Preliminary Results"

yoshitomo-matsubara/sc2-benchmark

[TMLR] "SC2 Benchmark: Supervised Compression for Split Computing"

yoshitomo-matsubara/bottlefit-split_computing

[IEEE WoWMoM 2022] "BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing"

yoshitomo-matsubara/uci-cs273a-project

Basic Support for Final Projects in UCI CS 273A: Machine Learning

yoshitomo-matsubara/split-beam

[ICDCS 2023] SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing

yoshitomo-matsubara/hadoop-example

Run example codes on your computer to understand how Hadoop works

yoshitomo-matsubara/section-categorization

Automated Section Categorization in Scientific Papers

yoshitomo-matsubara/srbench

A living benchmark framework for symbolic regression

yoshitomo-matsubara/yoshitomo-matsubara.github.io

yoshitomo-matsubara/guess-blind-entities

[JCDL WOSP 2020] "Citations Beyond Self Citations: Identifying Authors, Affiliations, and Nationalities in Scientific Papers"

yoshitomo-matsubara/aclrollingreview

ACL Rolling Review website

yoshitomo-matsubara/allennlp

An open-source NLP research library, built on PyTorch.

yoshitomo-matsubara/boto-examples

yoshitomo-matsubara/dslib

Data science library for private use

yoshitomo-matsubara/kdkit

yoshitomo-matsubara/libsvm-analyzer

Private project for further analysis of output from libsvm

yoshitomo-matsubara/mastermind-ai

Mastermind AI project

yoshitomo-matsubara/myutils

My python utils package for private use

yoshitomo-matsubara/NLP-OSS

Democratizing NLP!

yoshitomo-matsubara/playground

a repository for learning purposes

yoshitomo-matsubara/RE3QA

Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension

yoshitomo-matsubara/roi-selector

My private Maven project for GUI-based program to visually select region of interest (ROI) in training samples for OpenCV 2.x.

yoshitomo-matsubara/spark-example

Run example codes on your computer to understand how Spark works

yoshitomo-matsubara/transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

yoshitomo-matsubara/uci-statnlp

Code for the StatNLP course homework.

yoshitomo-matsubara/vision

Datasets, Transforms and Models specific to Computer Vision