HuangxingLin123 / Learning-Rate-Dropout
Pytorch implementation of Learning Rate Dropout.
☆42Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Learning-Rate-Dropout
- Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)☆39Updated 4 years ago
- A Pytorch implementation of https://arxiv.org/abs/1810.12348.☆36Updated 5 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 2 years ago
- ☆49Updated 4 years ago
- Unofficial PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Ne…☆22Updated 4 years ago
- Minimal API for receptive field calculation in PyTorch☆66Updated 2 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 4 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆98Updated 3 years ago
- Unofficial implementation of Stand-Alone Self-Attention in Vision Models (obsolete)☆44Updated 5 years ago
- Code for NeurIPS 2019 paper Emergence of Object Segmentation in Perturbed Generative Models☆32Updated 5 years ago
- A ShuffleBatchNorm layer to shuffle BatchNorm statistics across multiple GPUs☆56Updated 2 years ago
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Updated 3 months ago
- PyTorch Implementation of 'Deep Networks with Stochastic Depth'☆28Updated 6 years ago
- (ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_Wi…☆62Updated 4 years ago
- The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)☆52Updated 4 years ago
- An intriguing failing of convolutional neural networks and the CoordConv solution in PyTorch☆70Updated 6 years ago
- ☆18Updated 5 years ago
- Code for the paper☆29Updated 5 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 5 years ago
- Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"☆41Updated 4 years ago
- Microsoft Internship☆35Updated 5 months ago
- Batch Renormalization module for PyTorch based on paper https://arxiv.org/abs/1702.03275 .☆17Updated 5 years ago
- ☆19Updated 5 years ago
- Sparse Switchable Normalization with sparse activation function SparestMax☆64Updated 5 years ago
- [TNNLS] Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling☆45Updated 4 years ago
- ☆25Updated 4 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆60Updated 4 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆54Updated 2 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆52Updated 3 years ago