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).☆38Updated 3 years ago
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆113Updated 6 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
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆47Updated 4 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆81Updated last year
- code to show F-Principle in the DNN training☆59Updated 3 years ago
- Code for 'Memory-based dual Gaussian processes for sequential learning' (ICML 2023)☆12Updated 2 years ago
- Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.☆60Updated 3 years ago
- ☆16Updated 2 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆208Updated last year
- ☆32Updated 3 years ago
- Code for the paper: Complex-Valued Autoencoders for Object Discovery☆56Updated 2 years ago
- ☆21Updated 5 years ago
- Pruning is all you need (hopefully)☆12Updated 3 years ago
- [ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)☆23Updated 11 months ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 4 years ago
- Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations☆28Updated 2 years ago
- 🚀 A powerful library for efficient training of Neural Fields at scale.☆29Updated last year
- Spectral Tensor Train Parameterization of Deep Learning Layers☆15Updated 4 years ago
- Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection☆21Updated 4 years ago
- ☆17Updated 2 years ago
- ☆10Updated 2 years ago
- ☆63Updated 2 years ago
- [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…☆81Updated last year
- ☆28Updated 3 years ago
- beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022☆45Updated 3 years ago
- ICLR22 "Fast Differentiable Matrix Square Root" and T-PAMI extension☆64Updated 11 months ago
- Distributed K-FAC preconditioner for PyTorch☆91Updated this week
- Implementation of paper "Do Wide and Deep Networks Learn the Same Things?"☆16Updated 3 years ago