Official implementation of "Extreme Value Meta-Learning for Few-Shot Open-Set Recognition of Hyperspectral Images" (TGRS'23)
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Updated
Aug 15, 2023 - Jupyter Notebook
Official implementation of "Extreme Value Meta-Learning for Few-Shot Open-Set Recognition of Hyperspectral Images" (TGRS'23)
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Comprehensive Study of Soft Prompting as a efficient method for Model Adaptation
This code is for the honour thesis developed by Dannong Xu. It includes CTNet (developed algorithm in the thesis), Siamese Network, MAML, and Reptile.
Face Recognition System (multiple faces - recognition from images/live camera )
Lowshot learning with Tensorflow
Dementia Prediction by Khalil El Asmar, Fatima Abu Salem, Hiyam Ghannam, Roaa Al-Feel
Adversarial Feature Hallucination in a Supervised Contrastive Space for Few-Shot Learning of Provenance in Paintings
Few-shot image classification based on CADA-VAE, using cosine similarity to align two modal features.
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
Unsupervised Data Augmentation (UDA)
This project studies the effect of self supervised detection backbones with few shot models to combat limited labelled data scenarios
Paper and data for: Leveraging Disentangled Representations to Improve Vision-Based Keystroke Inference Attacks Under Low Data Constraints (CODASPY 2022)
Course materials for the Machine Learning for NLP course taught by Sameer Singh for the Cognitive Science summer school 2022.
Code for "Improved Few-Shot Visual Classification"
Notes about information extraction with Large Language Models (LLMs)
This is my todo list and some useful materials
Few Shot Learning on Graphs
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