[CVPR 2022 Oral] Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2111.12940

[ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"

SPEAR: Programmatically label and build training data quickly.

This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).

Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation

Benchmark for Data-Efficient Image Classification

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

This repository includes official implementation and model weights of Data-Efficient Multi-Scale Fusion Vision Transformer.

Code base for the paper "Instruction Tuned Models are Quick Learners".

Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning

Mining gold from implicit models to improve likelihood-free inference, example for ROLR and RASCAL.