tomMoral / AdaptiveOptimLinks
Adaptive optimization procedure
☆16Updated 7 years ago
Alternatives and similar repositories for AdaptiveOptim
Users that are interested in AdaptiveOptim are comparing it to the libraries listed below
Sorting:
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Updated 6 years ago
- Code of Fair PCA algorithm introduced in the paper "The Price of Fair PCA: One Extra Dimension"☆27Updated 2 years ago
- Code for the paper "Banach Wasserstein GAN"☆31Updated 6 years ago
- Meta-SGD Algorithms Implementation☆22Updated 10 months ago
- Uncertainty interpretations of the neural network☆32Updated 7 years ago
- Implementation of our ECCV '18 paper " Deep Expander Networks: Efficient Deep Networks from Graph Theory".☆42Updated 5 years ago
- Uncertainty Autoencoders, AISTATS 2019☆55Updated 6 years ago
- Tensorflow implementation of DeepLabv2☆22Updated 7 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆21Updated 7 years ago
- Easing non-convex optimization with neural networks.☆23Updated 6 years ago
- ☆13Updated 7 years ago
- An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch☆21Updated 6 years ago
- TensorFlow implementation of entropy SGD☆11Updated 6 years ago
- SplitNet implemented based on ResNet-50 trained on ImageNet-22K☆16Updated 6 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 7 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- Implements an infinite sum of poisson-weighted convolutions☆26Updated 6 years ago
- Simple Summary of CNN Architecture☆34Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- PyTorch Implementation of CVPR'19 - On the Intrinsic Dimensionality of Image Representation☆23Updated 5 years ago
- ☆17Updated 7 years ago
- For the reproduction of research by Agostinelli et al. Learning Activation Functions to Improve Deep Neural Networks. http://arxiv.org/ab…☆19Updated 10 years ago
- ☆81Updated 7 years ago
- ☆12Updated 6 years ago
- Domain Agnostic Normalization layer for Unsupervised Domain Adaptation☆11Updated 2 years ago
- Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independe…☆17Updated 8 years ago
- RP-GAN: Stable GAN Training with Random Projections☆22Updated 6 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago