BayesWatch / cinic-10Links
A drop-in replacement for CIFAR-10.
☆246Updated 4 years ago
Alternatives and similar repositories for cinic-10
Users that are interested in cinic-10 are comparing it to the libraries listed below
Sorting:
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆223Updated 5 years ago
- Scripts for Imagenet 32 dataset☆153Updated 4 years ago
- Wide Residual Networks (WideResNets) in PyTorch☆343Updated 4 years ago
- Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch☆470Updated 5 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 6 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- Pytorch implementation of convolutional neural network adversarial attack techniques☆360Updated 6 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆162Updated 5 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆91Updated 2 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆186Updated 5 years ago
- Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]☆185Updated 6 years ago
- Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle☆178Updated last year
- A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.☆239Updated 4 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆338Updated 3 years ago
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆255Updated 4 years ago
- A PyTorch baseline attack example for the NIPS 2017 adversarial competition☆86Updated 8 years ago
- Code and manuscript for "Efficient Per-Example Gradient Computations in Convolutional Neural Networks"☆29Updated 5 years ago
- SmoothGrad implementation in PyTorch☆172Updated 4 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆58Updated 5 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆227Updated 5 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆143Updated 5 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆277Updated 2 years ago
- NIPS Adversarial Vision Challenge☆41Updated 7 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆218Updated 6 years ago
- Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"☆128Updated 5 years ago
- A new test set for ImageNet☆256Updated 2 years ago
- ☆68Updated 6 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- 💩 My pytorch neural network practice repo☆51Updated 6 years ago