[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
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Oct 22, 2023 - Python
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data-efficient-learning
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[ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"
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Nov 2, 2024 - Python
SPEAR: Programmatically label and build training data quickly.
machine-learning deep-learning weak-supervision semi-supervised-learning unsupervised-learning data-programming data-efficient-learning labeling-functions
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Jun 27, 2024 - Jupyter Notebook
This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).
point-cloud semi-supervised-learning segmentation augmentation weakly-supervised-learning 3d-segmentation pytorch-implementation weakly-supervised-segmentation consistency-regularization sparse-annotations data-efficient-learning context-model
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May 24, 2024 - Python
Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation
computer-vision deep-learning pytorch semi-supervised-learning gtav semantic-segmentation cityscapes domain-adaptation mechine-learing synthia data-efficient-learning source-free-domain-adaptation
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Mar 28, 2023 - Python
Benchmark for Data-Efficient Image Classification
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Apr 11, 2023 - Jupyter Notebook
This is the official repo for Contrastive Vision-Language Alignment Makes Efficient Instruction Learner.
vision-language data-efficient contrastive-learning instruction-following data-efficient-learning large-language-models instruction-tuning vision-language-model
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Dec 1, 2023
A Pytorch-based library to evaluate learning methods on small image classification datasets
computer-vision deep-learning image-classification data-efficient-learning small-data small-datasets
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Jun 22, 2022 - Jupyter Notebook
[NeurIPS 2022] "Sparse Winning Tickets are Data-Efficient Image Recognizers" by Mukund Varma T, Xuxi Chen, Zhenyu Zhang, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
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Dec 24, 2022 - Python
Code base for the paper "Instruction Tuned Models are Quick Learners".
machine-learning instructions transformers transformer seq2seq finetuning huggingface t5 deepspeed data-efficient-learning data-efficiency tk-instruct instruction-tuning instruction-learning super-natural-instructions
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Oct 16, 2023 - Python
This repository includes official implementation and model weights of Data-Efficient Multi-Scale Fusion Vision Transformer.
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Jan 7, 2025 - Python
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning
deep-learning deep-reinforcement-learning ensemble-learning deep-q-learning multi-task-learning deep-rl off-policy auxiliary-tasks model-free-rl data-efficient-learning
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Jul 2, 2021 - Python
Mining gold from implicit models to improve likelihood-free inference, example for ROLR and RASCAL.
data-science machine-learning neural-network physics regression comparison neural-networks particle-physics seminar likelihood-free likelihood-free-inference binary-crossentropy likelihood-ratio data-efficient-learning
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Apr 4, 2023 - Jupyter Notebook
Low-cost Fine-tuning of Data-efficient Image Transformers on X-ray Imaging for Osteoarthritis Detection
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Dec 28, 2024 - Python
[ACL '23] Official implementation of "DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation"
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Feb 25, 2024 - Python
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