pluskid / fitting-random-labelsLinks
Example code for the paper "Understanding deep learning requires rethinking generalization"
☆178Updated 5 years ago
Alternatives and similar repositories for fitting-random-labels
Users that are interested in fitting-random-labels 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
- Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"☆144Updated 8 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆175Updated 7 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- ☆219Updated 7 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆338Updated 3 years ago
- A drop-in replacement for CIFAR-10.☆241Updated 4 years ago
- A machine learning library for PyTorch☆92Updated 2 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 8 years ago
- Robust loss functions for deep neural networks (CVPR 2017)☆91Updated 5 years ago
- ☆46Updated 7 years ago
- Scripts for Imagenet 32 dataset☆153Updated 4 years ago
- ☆27Updated 6 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆118Updated 7 years ago
- A PyTorch library for two-sample tests☆241Updated 2 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- Related materials for robust and explainable machine learning☆48Updated 7 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- ☆63Updated 9 years ago
- SmoothGrad implementation in PyTorch☆171Updated 4 years ago
- A PyTorch implementation of Learning to learn by gradient descent by gradient descent☆314Updated 6 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- Generative moment matching networks☆150Updated 9 years ago
- hessian in pytorch☆187Updated 4 years ago
- ☆26Updated 6 years ago