Python library for self-supervised one-shot learning for automatic segmentation of GAN-generated images.
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Updated
Apr 11, 2023 - Python
Python library for self-supervised one-shot learning for automatic segmentation of GAN-generated images.
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Large Language Models for Scientific Question Answering: an Extensive Analysis of the SciQA Benchmark
a deep dive into one-shot learning with omniglot and siamese networks
A novel Feature Extractor for Few Shot Learning to Improve Accuracy and Interpretability
[TIP-2023] IEEE Trans.on Image Processing
[ICCV 2023 CLVL Workshop] Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts
This code is for the honour thesis developed by Dannong Xu. It includes CTNet (developed algorithm in the thesis), Siamese Network, MAML, and Reptile.
Mammals reproduce. Is MAML reproducible?
Few-shot image classification based on CADA-VAE, using cosine similarity to align two modal features.
Cooperative Bi-path Metric for Few-shot Learning. ACM Conference on Multimedia (ACM MM), 2020
COVID-19 Question Dataset from the paper "What Are People Asking About COVID-19? A Question Classification Dataset"
Few-shot learning project: Semantic segmentation of COVID-19 infection in CT scans
LittleAdversary is an adversarial machine learning library made to aid research into adversarial attacks and defences, with a primary focus on one-shot defences. It contains an end-to-end implementation of the proposed defence in 'Siamese Neural Networks for Adversarial Robustness ', complete with statistical analysis of the results.
Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements
Pytorch Implementation of One Shot Learning for Face Recognition
Presentation and Practical on a popular NLP paper - Language Models are Few-Shot Learners.
Code for the paper "Semi-supervised Continual learning with Meta Self-training" in Pytorch
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