samaonline / Orthogonal-Convolutional-Neural-NetworksLinks
Code for paper "Orthogonal Convolutional Neural Networks".
☆119Updated 4 years ago
Alternatives and similar repositories for Orthogonal-Convolutional-Neural-Networks
Users that are interested in Orthogonal-Convolutional-Neural-Networks 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 3 years ago
- This is the pytorch re-implementation of the IterNorm☆41Updated 6 years ago
- Implementation of the reversible residual network in pytorch☆106Updated 3 years ago
- PyTorch Implementation of CVPR'19 (oral) - Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach☆28Updated 6 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆129Updated 2 years ago
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆113Updated 6 years ago
- A PyTorch converter for SimCLR checkpoints☆108Updated 4 years ago
- Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)☆25Updated 6 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆107Updated 5 years ago
- Sliced Wasserstein Distance (SWD) in PyTorch☆116Updated 6 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆133Updated 2 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆44Updated 3 years ago
- ☆60Updated 3 years ago
- Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)☆125Updated 3 years ago
- Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks☆243Updated 4 years ago
- Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆133Updated 3 years ago
- [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training☆130Updated 4 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆86Updated last year
- Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better perfo…☆90Updated 3 years ago
- Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…☆62Updated 2 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆60Updated 4 years ago
- Code for "Scale-Equivariant Steerable Networks"☆72Updated 5 years ago
- [NeurIPS 2020 Oral] Is normalization indispensable for training deep neural networks?☆34Updated 3 years ago
- Deep Isometric Learning for Visual Recognition (ICML 2020)☆143Updated 3 years ago
- Curriculum by Smoothing (NeurIPS 2020)☆39Updated 5 years ago
- Batch-Instance Normalization (BIN)☆78Updated 6 years ago
- ☆24Updated 4 years ago
- Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)☆32Updated 5 years ago