VITA-Group / Orthogonality-in-CNNs
[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
☆128Updated 3 years ago
Alternatives and similar repositories for Orthogonality-in-CNNs:
Users that are interested in Orthogonality-in-CNNs are comparing it to the libraries listed below
- Implementation of the reversible residual network in pytorch☆104Updated 3 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆116Updated 3 years ago
- PyTorch implementation of "Glow: Generative Flow with Invertible 1x1 Convolutions"☆44Updated 6 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs☆24Updated 4 years ago
- [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees☆32Updated 5 years ago
- unsupervised video and image generation☆58Updated 4 years ago
- PyTorch Implementation of CVPR'19 (oral) - Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach☆27Updated 5 years ago
- Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search☆89Updated 5 years ago
- ☆65Updated 6 years ago
- An implementation of shampoo☆74Updated 7 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- Implementation of Glow in PyTorch☆81Updated 4 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 3 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated 2 years ago
- Cheap distillation for convolutional neural networks.☆33Updated 6 years ago
- A PyTorch implementation of shake-shake☆111Updated 4 years ago
- This project is the Torch implementation of our accepted CVPR 2019 paper, Iterative Normalization: Beyond Standardization towards Effic…☆25Updated 4 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆95Updated 5 years ago
- Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)☆125Updated 2 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆43Updated 3 years ago
- This is the pytorch re-implementation of the IterNorm☆41Updated 5 years ago
- Batch-Instance Normalization (BIN)☆79Updated 5 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- ☆53Updated 6 years ago
- Official PyTorch implementation of Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (ICLR 2019)☆93Updated 8 months ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- [NeurIPS 2020 Oral] Is normalization indispensable for training deep neural networks?☆34Updated 2 years ago
- This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery …☆51Updated 8 months ago