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
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆47Updated 4 years ago
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆38Updated 3 years ago
- code to show F-Principle in the DNN training☆60Updated 2 years ago
- ☆21Updated 5 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 3 years ago
- A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance P…☆78Updated last year
- Adaptive, interpretable wavelets across domains (NeurIPS 2021)☆81Updated 3 years ago
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆108Updated 6 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆80Updated last year
- Optimizing neural networks via an inverse scale space flow.☆16Updated last year
- ☆32Updated 2 years ago
- ☆47Updated last year
- Spectral Tensor Train Parameterization of Deep Learning Layers☆15Updated 4 years ago
- ☆28Updated 3 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations☆28Updated 2 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆26Updated 2 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Updated 3 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆118Updated 4 years ago
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆29Updated last year
- ☆103Updated 4 years ago
- Code for the paper: Complex-Valued Autoencoders for Object Discovery☆56Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…☆57Updated 2 years ago
- Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.☆57Updated 3 years ago
- Neural Diffusion Processes☆81Updated last year
- [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…☆80Updated last year
- [NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.☆60Updated last year
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆209Updated last year