for-ai / Targeted-Dropout
Complementary code for the Targeted Dropout paper
☆255Updated 5 years ago
Alternatives and similar repositories for Targeted-Dropout:
Users that are interested in Targeted-Dropout are comparing it to the libraries listed below
- PyTorch implementation of PNASNet-5 on ImageNet☆317Updated 2 years ago
- repo that holds code for improving on dropout using Stochastic Delta Rule☆142Updated 6 years ago
- Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)☆190Updated 7 years ago
- 2.86% and 15.85% on CIFAR-10 and CIFAR-100☆296Updated 6 years ago
- Random miniprojects with pytorch.☆172Updated 6 years ago
- Implementations of ideas from recent papers☆391Updated 4 years ago
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆510Updated 5 years ago
- Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Netw…☆364Updated 6 years ago
- [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895☆124Updated 6 years ago
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆118Updated 6 years ago
- TensorFlow implementation of PNASNet-5 on ImageNet☆101Updated 6 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 5 years ago
- PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html☆138Updated 6 years ago
- Multi-Scale Dense Networks for Resource Efficient Image Classification (ICLR 2018 Oral)☆461Updated 5 years ago
- MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)☆179Updated 4 years ago
- Label Refinery: Improving ImageNet Classification through Label Progression☆279Updated 6 years ago
- This repo houses the new PNN code, along with our responses to the issue raised in the recent Reddit discussion. The code is based on Mic…☆234Updated 6 years ago
- Repository has been moved: https://github.com/adobe/antialiased-cnns☆165Updated 3 years ago
- ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction☆136Updated 6 years ago
- ☆352Updated 5 years ago
- PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.☆220Updated last year
- visualization of CNN in PyTorch☆155Updated last year
- ☆86Updated 2 years ago
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆309Updated 5 years ago
- Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"☆275Updated 5 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆148Updated 7 years ago
- A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).☆140Updated 4 years ago
- Pretrained bag-of-local-features neural networks☆312Updated 5 years ago
- Code for https://arxiv.org/abs/1810.04622☆140Updated 5 years ago
- [NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".☆168Updated 5 years ago