leventsagun / hessian-for-basicDLLinks
can calculate the Hessian matrix and/or its spectrum for simple neural nets
☆11Updated 7 years ago
Alternatives and similar repositories for hessian-for-basicDL
Users that are interested in hessian-for-basicDL are comparing it to the libraries listed below
Sorting:
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆74Updated 4 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆62Updated 6 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆23Updated 6 years ago
- Federated posterior averaging implemented in JAX☆51Updated 2 years ago
- Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, …☆16Updated 6 years ago
- Code for the paper "Adversarial Neural Pruning with Latent Vulnerability Suppression"☆15Updated 3 years ago
- Code for the signSGD paper☆90Updated 4 years ago
- Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"☆34Updated 5 years ago
- Codebase for the paper "Adversarial Attacks on Time Series"☆24Updated 6 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Updated 6 years ago
- Code for reproducing the experiments of the ICML 2019 paper "Robust Learning from Untrusted Sources"☆18Updated 6 years ago
- Research prototype of deletion efficient k-means algorithms☆24Updated 5 years ago
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 6 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 3 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- ☆13Updated 7 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- ☆27Updated 2 years ago
- PyTorch implementation of FIM and empirical FIM☆60Updated 7 years ago
- ☆43Updated 7 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Updated 4 years ago
- demonstration of the information bottleneck theory for deep learning☆66Updated 8 years ago
- ☆93Updated 3 years ago
- Learning perturbation sets for robust machine learning☆65Updated 4 years ago
- ☆18Updated 3 years ago
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆34Updated 6 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]☆19Updated 6 years ago
- Code for the paper "Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation" by Alexander Levine and Soheil Feizi.☆10Updated 3 years ago