The complete list of all 519 ICML-2019 papers with code. #icml2019 #AI #MachineLearning #ComputerVision #code

https://www.paperdigest.org/2019/05/icml-2019-papers-with-code/

We just released our #NeurIPS2019 Multimodal Model-Agnostic Meta-Learning (MMAML) code for learning few-shot image classification, which extends MAML to multimodal task distributions (e.g. learning from multiple datasets). The code contains #PyTorch implementations of our model and two baselines (MAML and Multi-MAML) as well as the scripts to evaluate these models to five popular few-shot learning datasets: Omniglot, Mini-ImageNet, FC100 (CIFAR100), CUB-200-2011, and FGVC-Aircraft.

Code: https://github.com/shaohua0116/MMAML-Classification

Paper: https://arxiv.org/abs/1910.13616

#NeurIPS #MachineLearning #ML #code

Papers with Code partners with arXiv
Robert Stojnic : https://medium.com/paperswithcode/papers-with-code-partners-with-arxiv-ecc362883167

@ArtificialIntelligenceArticles
#MachineLearning #arXiv #Code