dbaranchuk / memory-efficient-maml
Memory efficient MAML using gradient checkpointing
☆83Updated 5 years ago
Alternatives and similar repositories for memory-efficient-maml:
Users that are interested in memory-efficient-maml are comparing it to the libraries listed below
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆40Updated 4 years ago
- Meta-Learning with Warped Gradient Descent☆93Updated 3 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Reparameterize your PyTorch modules☆70Updated 4 years ago
- Measuring compositionality in representation learning☆72Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 2 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆48Updated 3 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆61Updated 5 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated last year
- Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)☆99Updated 3 years ago
- Code for "Supermasks in Superposition"☆121Updated last year
- Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"☆14Updated 4 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆99Updated 4 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 4 years ago
- Code for "Online Learned Continual Compression with Adaptive Quantization Modules"☆27Updated 4 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆37Updated 4 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 2 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Hypergradient descent☆145Updated 9 months ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- ☆26Updated 6 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆139Updated 5 years ago