TropComplique / image-classification-caltech-256Links
Exploring CNNs and model quantization on Caltech-256 dataset
☆85Updated 8 years ago
Alternatives and similar repositories for image-classification-caltech-256
Users that are interested in image-classification-caltech-256 are comparing it to the libraries listed below
Sorting:
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 3 years ago
- Scripts for Imagenet 32 dataset☆154Updated 4 years ago
- End-to-End Incremental Learning☆67Updated 6 years ago
- PyTorch implementation for GAL.☆56Updated 5 years ago
- A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)☆273Updated 5 years ago
- BlockDrop: Dynamic Inference Paths in Residual Networks☆143Updated 2 years ago
- Repository for the Learning without Forgetting paper, ECCV 2016☆86Updated 5 years ago
- Cheap distillation for convolutional neural networks.☆35Updated 7 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆130Updated 3 years ago
- Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization☆127Updated 7 years ago
- PyTorch implementation of "Distilling the Knowledge in a Neural Network" for model compression☆59Updated 8 years ago
- Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)☆88Updated 7 years ago
- Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"☆144Updated 5 years ago
- ☆51Updated 6 years ago
- Build image classifiers using Tiny ImageNet and Pytorch☆13Updated 7 years ago
- Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857☆59Updated 6 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019☆176Updated 5 years ago
- Tools for computing model parameters and FLOPs.☆88Updated 6 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆57Updated 6 years ago
- PyTorch Implementation of Weights Pruning☆184Updated 7 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆56Updated 4 years ago
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆105Updated 6 years ago
- A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)☆40Updated 6 years ago
- Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)☆71Updated 6 years ago
- 🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.☆105Updated 6 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- Rethinking Feature Distribution for Loss Functions in Image Classification☆41Updated 2 years ago
- Code for SkipNet: Learning Dynamic Routing in Convolutional Networks (ECCV 2018)☆244Updated 6 years ago
- pytorch implementation of network-in-network model on cifar10☆51Updated 6 years ago