mogolola / neural_optimizer_searchLinks
An implementation of ICML 2017 paper <<Neural Optimizer Search with Reinforcement Learning>> https://arxiv.org/abs/1709.07417
☆15Updated 7 years ago
Alternatives and similar repositories for neural_optimizer_search
Users that are interested in neural_optimizer_search are comparing it to the libraries listed below
Sorting:
- The project page of paper: Information Competing Process for Learning Diversified Representations [NeurIPS 2019]☆18Updated 5 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 4 years ago
- ☆21Updated 5 years ago
- Compressing Neural Networks using the Variational Information Bottleneck☆66Updated 3 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆192Updated 6 years ago
- "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.☆61Updated 5 years ago
- Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018☆58Updated last year
- ☆67Updated 5 years ago
- [NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, X…☆49Updated 4 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆91Updated 6 years ago
- ☆177Updated last year
- ☆155Updated 5 years ago
- CFG-GAN: Composite functional gradient learning of generative adversarial models☆15Updated 5 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆39Updated 8 years ago
- This repo contains the PyTorch implementation of the SNAS-Series papers☆150Updated 4 years ago
- Meta-SGD experiment on Omniglot classification compared with MAML☆82Updated 8 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 4 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆201Updated 7 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆205Updated 7 years ago
- Code for Unsupervised Learning via Meta-Learning.☆122Updated 6 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 6 years ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆354Updated 6 years ago
- simple demo codes for Learning to Teach with Dynamic Loss Functions☆17Updated 5 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆117Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 4 years ago
- A PyTorch implementation of Learning to learn by gradient descent by gradient descent☆315Updated 7 years ago
- Pytorch implementation of SNAS☆75Updated 6 years ago
- Generative Model for Neural Networks☆24Updated 5 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago