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15 search results found

Easy Few Shot Learning ⭐ 737

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

Concise Concepts ⭐ 222

This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings. Now with entity scoring.

(NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297

Simple Cnaps ⭐ 89

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

Prompt Align ⭐ 87

[ICCV23] Prompt-aligned Gradient for Prompt Tuning

[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification

Pytorch Meta Dataset ⭐ 40

A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification

Simple Cnaps ⭐ 40

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022) and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (TPAMI 2022 - in submission)

Channel_importance_fsl ⭐ 38

[ICML 2022] Channel Importance Matters in Few-shot Image Classification

Code and data for paper https://arxiv.org/pdf/2106.05517.pdf (CVPR 2022)

Official implementation of POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples (NeurIPS 2021)

Metric Few Shot Graph ⭐ 13

Few-Shot Graph Classification via distance metric learning.

Visual Contrastive Learning For Few Shot Image Classification ⭐ 6

Implementation of Few-shot Binary Image Classification using Contrastive Learning-based Approach in PyTorch

Interactive Skeleton Based Few Shot Action Recognition

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