There are 1 repository under data-efficient-learning topic.
[ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"
SPEAR: Programmatically label and build training data quickly.
Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation
This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).
This is the official repo for Contrastive Vision-Language Alignment Makes Efficient Instruction Learner.
A Pytorch-based library to evaluate learning methods on small image classification datasets
[NeurIPS 2022] "Sparse Winning Tickets are Data-Efficient Image Recognizers" by Mukund Varma T, Xuxi Chen, Zhenyu Zhang, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
Code base for the paper "Instruction Tuned Models are Quick Learners".
This repository includes official implementation and model weights of Data-Efficient Multi-Scale Fusion Vision Transformer.
Mining gold from implicit models to improve likelihood-free inference, example for ROLR and RASCAL.