hongyanz / multibranch
Codes for the paper "Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex"
☆20Updated 4 years ago
Alternatives and similar repositories for multibranch:
Users that are interested in multibranch are comparing it to the libraries listed below
- This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks…☆18Updated last year
- Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)☆16Updated last year
- This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".☆14Updated 5 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- ☆25Updated 4 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 4 years ago
- ☆23Updated 6 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 5 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- ☆29Updated 6 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 3 years ago
- ☆34Updated 6 years ago
- An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch☆21Updated 6 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- Code for "On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length", ICLR 2019☆11Updated 2 years ago
- Learning perturbation sets for robust machine learning☆64Updated 3 years ago
- ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations☆22Updated 4 years ago
- Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks☆30Updated 7 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 3 years ago
- Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]☆19Updated 6 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Updated 6 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 5 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆34Updated 7 years ago
- Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …☆20Updated 6 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆16Updated 4 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
- Adversarially Robust Generalization Just Requires More Unlabeled Data☆11Updated 5 years ago
- Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19☆21Updated 5 years ago
- ☆22Updated last year
- ☆22Updated 6 years ago