zhibinliao89 / fisher.info.mat.torch
☆12Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for fisher.info.mat.torch
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 7 years ago
- Repository containing code for getting statistical guarantees on properties of BNNs☆13Updated 5 years ago
- Pytorch package for geometric softmax☆12Updated 5 years ago
- Code base for SRSGD.☆28Updated 4 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 5 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 4 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 5 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Updated 4 years ago
- ☆13Updated 6 years ago
- Code for experiments in 'Primal Dual Formulation For Deep Learning With Constraints'☆21Updated 5 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆44Updated 4 years ago
- ☆13Updated 6 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Updated last year
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated last year
- ☆24Updated 4 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 4 years ago
- ☆19Updated 4 years ago
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Updated 4 years ago
- Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)☆14Updated 4 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 2 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆44Updated 5 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago
- Proceedings of ICML 2019☆33Updated last year
- CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".☆14Updated 5 years ago
- ☆19Updated 5 years ago
- Analyzing deviation from orthogonality in RNNs☆16Updated 7 years ago
- Towards Visual Explanations for Convolutional Neural Networks via Input Resampling☆14Updated 7 years ago