huangleiBuaa / ONILinks
PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs
☆24Updated 5 years ago
Alternatives and similar repositories for ONI
Users that are interested in ONI are comparing it to the libraries listed below
Sorting:
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆130Updated 4 years ago
- This project is the Torch implementation of our accepted CVPR 2019 paper, Iterative Normalization: Beyond Standardization towards Effic…☆25Updated 5 years ago
- This is the pytorch re-implementation of the IterNorm☆41Updated 6 years ago
- Code release for NeurIPS 2020 paper "Stochastic Normalization"☆22Updated 3 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Updated 5 years ago
- Official repository for Reliable Label Bootstrapping☆19Updated 2 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- Code for "Online Learned Continual Compression with Adaptive Quantization Modules"☆27Updated 5 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆24Updated 5 years ago
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Updated 3 years ago
- ☆45Updated 3 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated 2 years ago
- Self-Supervised Domain Adaptation with Consistency Training☆19Updated 5 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 6 years ago
- Code accompanying the NeurIPS 2020 submission "Teaching a GAN What Not to Learn."☆32Updated 4 years ago
- Training Neural Networks Without Gradients: A Scalable ADMM Approach python implement☆14Updated 8 years ago
- ☆53Updated 7 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆63Updated 5 years ago
- Generalized Framework for PyTorch☆32Updated 4 years ago
- ☆29Updated 5 years ago
- unsupervised video and image generation☆57Updated 5 years ago
- Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"☆41Updated 6 years ago
- ☆41Updated 4 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆22Updated 3 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 6 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆118Updated 4 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- ☆20Updated 6 years ago
- WeightNet: Revisiting the Design Space of Weight Networks☆19Updated 4 years ago