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heterogeneous_data_embedding

Intro

  • Goal: Learn embedding for heterogeneous data (text and image)
  • Meeting time: Monday 10:00

Member

NameMailSkype
黃中余r06944047@ntu.edu.twgerald1994919@gmail.com
廖耿德d05922001@ntu.edu.twkenches@outlook.com
李承軒b03902009@ntu.edu.twsimonlee60110@yahoo.com.tw
蔣藝荃r07944046@ntu.edu.twjyqjessie@gmail.com

Members from CHANGING.AI

NameMail
林賢進hsienchin.lin@changing.ai
林仕斌sbin.lin@changing.ai

Resources

YearTitleNoteLinkAssign
2018 A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data Alibaba link
2017 Product Matching in eCommerce using deep learning WalmartLab dealing with the same problem link
2017 Image Text Embedding and Tasks A tutorial slide slide
2017 Dual-Path Convolutional Image-Text Embeddings with Instance Loss link
2016 Learning Deep Structure-Preserving Image-Text Embeddings link
2014 Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models link

Datasets

Progress

heterogeneous_data_embedding.txt · Last modified: 2024/04/21 09:53 by 1.175.11.135