WeiHongLee
Research Associate at University of Edinburgh, working on multi-task/domain learning and learning visual models from limited supervision.
University of EdinburghEdinburgh
Pinned Repositories
KD4MTL
Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)
L2I
Learning to Impute: A General Framework for Semi-supervised
MTPSL
Learning Multiple Dense Prediction Tasks from Partially Annotated Data - CVPR 2022
UniversalRepresentations
Universal Representations: A Unified Look at Multiple Task and Domain Learning
URL
Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022
Awesome-Multi-Domain-Multi-Task-Learning
An up-to-date list of works on Multi-domain Multi-task learning
Awesome-Multi-Task-Learning
An up-to-date list of works on Multi-Task Learning
KD-MTL
This is the repository for implementation of 'Knowledge Distillation for Multi-task Learning'
Learning-to-impute
Learning to Impute: A General Framework for Semi-supervised Learning
SoDA
Code for PR work "One-pass Person Re-identification by Sketch Online Discriminant Analysis"
WeiHongLee's Repositories
WeiHongLee/Awesome-Multi-Task-Learning
An up-to-date list of works on Multi-Task Learning
WeiHongLee/Learning-to-impute
Learning to Impute: A General Framework for Semi-supervised Learning
WeiHongLee/Awesome-Multi-Domain-Multi-Task-Learning
An up-to-date list of works on Multi-domain Multi-task learning
WeiHongLee/KD-MTL
This is the repository for implementation of 'Knowledge Distillation for Multi-task Learning'
WeiHongLee/SoDA
Code for PR work "One-pass Person Re-identification by Sketch Online Discriminant Analysis"
WeiHongLee/WeiHongLee.github.io
WeiHongLee/Awesome-Incremental-Learning
Awesome Incremental Learning
WeiHongLee/awesome-semi-supervised-learning
:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
WeiHongLee/fonts
fonts
WeiHongLee/matrix-sketch
Implementation of matrix sketch.
WeiHongLee/meta-dataset
A dataset of datasets for learning to learn from few examples
WeiHongLee/URL
Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022