sbelharbi / learning-class-invariant-featuresLinks
Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
☆12Updated 7 years ago
Alternatives and similar repositories for learning-class-invariant-features
Users that are interested in learning-class-invariant-features are comparing it to the libraries listed below
Sorting:
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792☆22Updated 7 years ago
- ☆19Updated 6 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- ☆13Updated 7 years ago
- Lifelong Variational Autoencoder☆14Updated 7 years ago
- Question Dependent Recurrent Entity Network☆13Updated 7 years ago
- Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria☆12Updated 6 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 7 years ago
- ☆29Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 7 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Experiments with different loss functions for image classification☆20Updated 8 years ago
- Tensor Switching Networks☆12Updated 7 years ago
- Towards Visual Explanations for Convolutional Neural Networks via Input Resampling☆13Updated 8 years ago
- NeurIPS 2019 Paper Implementation☆12Updated 2 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- Reversible Recurrent Neural Network Pytorch Implementation☆21Updated 7 years ago
- Github repo for my experiments with the orthogonal convolution idea☆22Updated 7 years ago
- Bag-of-Features Pooling for Deep Convolutional Neural Networks☆30Updated 5 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- Supporting code for the paper 'Learning to generate classifiers'.☆18Updated 7 years ago
- Code for the blog post on few-shot classification via task representation and communication.☆18Updated 8 years ago
- ☆13Updated 7 years ago
- ☆13Updated 8 years ago
- Binary Stochastic Neurons in PyTorch☆57Updated 7 years ago
- ☆15Updated 9 years ago
- MSRSegNet: Multi-Scale Residual Network for Semantic Segmentation☆10Updated 7 years ago
- SplitNet implemented based on ResNet-50 trained on ImageNet-22K☆16Updated 7 years ago
- Deep Learning using Rectified Linear Units (ReLU)☆22Updated last year