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14 search results found

Deep Kernel Transfer ⭐ 142

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

Crossdomainfewshot ⭐ 93

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

[ICLR'19] Meta-learning with differentiable closed-form solvers

Orbit Dataset ⭐ 82

The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.

Awesome Few Shot Meta Learning ⭐ 27

awesome few shot / meta learning papers

Awesome Few Shot ⭐ 27

Awesome Few-shot learning

Learning with Subset Stacking

Dropclass_speaker ⭐ 17

DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020

Learning To Impute ⭐ 16

Learning to Impute: A General Framework for Semi-supervised Learning

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach

Meta Learning Paperreading ⭐ 7

Notes for daily reading papers

Stc Maml Pytorch ⭐ 7

A PyTorch implementation of our INTERSPEECH2020 paper 'An inverstigation of few-shot learning in spoken term classification.'

Meta-learning basic suite for machine learning experiments.

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