grigorisg9gr / regularized_polynomials
Official Implementation of the CVPR'23 paper 'Regularization of polynomial networks for image recognition'.
☆9Updated last year
Alternatives and similar repositories for regularized_polynomials
Users that are interested in regularized_polynomials are comparing it to the libraries listed below
Sorting:
- Anonymized code for Igeood: An Information Geometry Approach to Out-of-Distribution Detection☆12Updated 3 years ago
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆16Updated last year
- Robust Principles: Architectural Design Principles for Adversarially Robust CNNs☆23Updated last year
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated 2 years ago
- ☆9Updated 4 years ago
- [TMLR 2024] Revisiting Random Weight Perturbation for Efficiently Improving Generalization☆9Updated 7 months ago
- [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…☆25Updated 3 years ago
- 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
- This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?☆12Updated last year
- Official Code of The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks[ICML2022]☆15Updated 2 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆44Updated 4 years ago
- Recycling diverse models☆44Updated 2 years ago
- [ICML 2022] "Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness" by Tianlong Chen*, Huan Zhang*, Zhenyu Zhang, Shiyu…☆16Updated 2 years ago
- ☆11Updated 2 years ago
- [NeurIPS ‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…☆18Updated 3 years ago
- Decoupled Kullback-Leibler Divergence Loss (DKL), NeurIPS 2024 / Generalized Kullback-Leibler Divergence Loss (GKL)☆44Updated this week
- [ICLR 2025] Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better☆14Updated 3 months ago
- [ICLR 2022] "Sparsity Winning Twice: Better Robust Generalization from More Efficient Training" by Tianlong Chen*, Zhenyu Zhang*, Pengjun…☆39Updated 3 years ago
- Black-box Few-shot Knowledge Distillation☆13Updated 2 years ago
- A generic code base for neural network pruning, especially for pruning at initialization.☆30Updated 2 years ago
- Pytorch implementation of regularization methods for deep networks obtained via kernel methods.☆22Updated 5 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)☆24Updated last year
- ☆18Updated 4 years ago
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆31Updated 3 years ago
- Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection☆21Updated 4 years ago
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆36Updated last year
- Official Implementation for PlugIn Inversion☆16Updated 3 years ago
- ☆30Updated 2 weeks ago
- Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning. (Neurips 2021)☆8Updated 3 years ago