sidml / understanding-kl-divergenceLinks
understanding kl divergence using 1D Gaussians
☆14Updated 6 years ago
Alternatives and similar repositories for understanding-kl-divergence
Users that are interested in understanding-kl-divergence are comparing it to the libraries listed below
Sorting:
- ☆16Updated 7 years ago
- ☆24Updated last month
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…☆52Updated 4 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- ☆22Updated 6 years ago
- Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthog…☆17Updated 5 years ago
- On Calibration of Modern Neural Networks - tensorflow implementation☆30Updated 7 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆77Updated 3 years ago
- Implement most common semantic segmentation algorithms☆26Updated 7 years ago
- PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"☆20Updated 4 years ago
- ☆9Updated 5 years ago
- model uncertainty using mc dropout☆20Updated 6 years ago
- Uncertainty interpretations of the neural network☆32Updated 7 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Updated 6 years ago
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- Keras implementation of SDE-Net (ICML 2020).☆15Updated 4 years ago
- ☆61Updated 2 years ago
- My notes on some Deep Learning papers☆24Updated 6 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆34Updated 6 years ago
- ☆20Updated last year
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- An implementation of MixMatch with PyTorch☆36Updated 4 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- ZForcing Repo☆40Updated 7 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆45Updated 5 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…☆31Updated 3 years ago
- Code for AAAI 2019 Network Interpretability workshop paper☆16Updated 3 years ago
- Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…☆68Updated 11 years ago