PatrykChrabaszcz / Imagenet32_ScriptsLinks
Scripts for Imagenet 32 dataset
☆153Updated 4 years ago
Alternatives and similar repositories for Imagenet32_Scripts
Users that are interested in Imagenet32_Scripts are comparing it to the libraries listed below
Sorting:
- A drop-in replacement for CIFAR-10.☆245Updated 4 years ago
- Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning☆237Updated 7 years ago
- Repository for the Learning without Forgetting paper, ECCV 2016☆85Updated 5 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Updated 7 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆224Updated 5 years ago
- Wide Residual Networks (WideResNets) in PyTorch☆345Updated 4 years ago
- BlockDrop: Dynamic Inference Paths in Residual Networks☆143Updated 2 years ago
- PyTorch code for training neural networks without global back-propagation☆165Updated 6 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 3 years ago
- Exploring CNNs and model quantization on Caltech-256 dataset☆85Updated 7 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆176Updated 7 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆162Updated 5 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)☆96Updated 2 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
- PyTorch implementation for Convolutional Networks with Adaptive Inference Graphs☆185Updated 6 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆143Updated 5 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆219Updated 6 years ago
- Code for the CVPR15 paper "Learning from Massive Noisy Labeled Data for Image Classification"☆119Updated 6 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
- A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.☆239Updated 4 years ago
- An official collection of code in different frameworks that reproduces experiments in "Group Normalization"☆117Updated 4 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 6 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆129Updated 3 years ago
- A PyTorch baseline attack example for the NIPS 2017 adversarial competition☆86Updated 8 years ago
- ☆26Updated 6 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆91Updated 2 years ago
- Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)☆71Updated 6 years ago