arthurmensch / g-softmaxLinks
Pytorch package for geometric softmax
☆12Updated 6 years ago
Alternatives and similar repositories for g-softmax
Users that are interested in g-softmax are comparing it to the libraries listed below
Sorting:
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 5 years ago
- ☆25Updated 3 years ago
- Proceedings of ICML 2019☆33Updated 3 weeks ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- PyTorch Implementation of CVPR'19 - On the Intrinsic Dimensionality of Image Representation☆24Updated 6 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch☆21Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- ☆53Updated 7 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 7 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- The Limited Multi-Label Projection Layer☆59Updated last year
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 6 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 4 years ago
- Repository containing code for getting statistical guarantees on properties of BNNs☆13Updated 6 years ago
- Pytorch implementation of paper "Distillation Techniques for Pseudo-rehearsal Based Incremental Learning"☆14Updated 6 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- [NeurIPS 2019 Spotlight] High dimensional mean estimation and outlier detection in nearly-linear time.☆26Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆54Updated 6 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Riemannian approach to batch normalization☆22Updated 7 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …☆20Updated 7 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 5 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆34Updated 6 years ago
- An implementation of shampoo☆77Updated 7 years ago