gallego-posada / constrained_sparsityLinks
Official implementation for the paper "Controlled Sparsity via Constrained Optimization"
☆11Updated 3 years ago
Alternatives and similar repositories for constrained_sparsity
Users that are interested in constrained_sparsity are comparing it to the libraries listed below
Sorting:
- Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100☆18Updated 3 years ago
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆39Updated 3 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆48Updated 4 years ago
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆113Updated 6 years ago
- code to show F-Principle in the DNN training☆59Updated 3 years ago
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆82Updated 3 years ago
- A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance P…☆78Updated 2 years ago
- ☆32Updated 3 years ago
- [ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)☆23Updated last year
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆208Updated last year
- [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…☆81Updated last year
- ☆25Updated 4 years ago
- ☆63Updated 2 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆29Updated last year
- [ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, T…☆32Updated 3 years ago
- Pruning is all you need (hopefully)☆12Updated 3 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆81Updated last year
- ☆18Updated last year
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains☆49Updated 5 years ago
- ☆21Updated 5 years ago
- ☆28Updated 3 years ago
- ☆12Updated 3 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆43Updated 6 years ago
- ☆13Updated 3 years ago
- Modern Fixed Point Systems using Pytorch☆122Updated 2 years ago
- Distributed K-FAC preconditioner for PyTorch☆91Updated this week
- ICLR22 "Fast Differentiable Matrix Square Root" and T-PAMI extension☆64Updated last year
- [CVPR 2024] Friendly Sharpness-Aware Minimization☆34Updated last year
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Updated 2 years ago