TropComplique / image-classification-caltech-256Links
Exploring CNNs and model quantization on Caltech-256 dataset
☆84Updated 7 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:
- pytorch implementation of network-in-network model on cifar10☆51Updated 6 years ago
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 3 years ago
- PyTorch implementation for GAL.☆56Updated 5 years ago
- Scripts for Imagenet 32 dataset☆153Updated 4 years ago
- ☆25Updated 6 years ago
- Tools for computing model parameters and FLOPs.☆87Updated 6 years ago
- Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression☆49Updated last year
- A neat pytorch implementation of nasnet and the ported weights from tensorflow☆76Updated 4 years ago
- Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]☆64Updated 6 years ago
- ☆48Updated 5 years ago
- Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906☆49Updated 5 years ago
- Repository for "Accelerating Neural Architecture Search using Performance Prediction" (ICLR Workshop 2018)☆18Updated 7 years ago
- End-to-End Incremental Learning☆66Updated 6 years ago
- Repository for the Learning without Forgetting paper, ECCV 2016☆84Updated 5 years ago
- Zalando's MNIST replacement.☆38Updated 6 years ago
- Pytorch implementation of TRP☆45Updated 4 years ago
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆47Updated 6 years ago
- PyTorch implementation of "SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE" [WIP]☆36Updated 8 years ago
- PyTorch implementation of "Distilling the Knowledge in a Neural Network" for model compression☆58Updated 7 years ago
- MSDNet☆190Updated 3 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆107Updated 10 months ago
- 🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.☆103Updated 6 years ago
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229☆66Updated 4 years ago
- [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning☆94Updated 2 years ago
- Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019☆177Updated 5 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆53Updated 3 years ago
- Robustness vs Accuracy Survey on ImageNet☆98Updated 3 years ago
- ☆21Updated 6 years ago
- Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857☆59Updated 5 years ago