singlasahil14 / SOCLinks
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
Alternatives and similar repositories for SOC
Users that are interested in SOC are comparing it to the libraries listed below
Sorting:
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Updated 3 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆48Updated 4 years ago
- ☆41Updated 4 years ago
- Code for paper "Orthogonal Convolutional Neural Networks".☆119Updated 4 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- ☆19Updated 2 years ago
- Robust Optimal Transport code☆43Updated 3 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.☆11Updated 5 years ago
- Implementations of the algorithms described in the paper: On the Convergence Theory for Hessian-Free Bilevel Algorithms.☆10Updated last year
- Codebase for the paper "Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning"☆17Updated 4 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
- Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).☆40Updated 4 years ago
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆113Updated 6 years ago
- ☆24Updated 4 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Updated 4 years ago
- ☆12Updated 3 years ago
- Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"☆37Updated last year
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆44Updated 3 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 3 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆60Updated 4 years ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆39Updated 3 years ago
- ☆58Updated 2 years ago
- ☆30Updated 4 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 4 years ago
- Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021☆24Updated 3 years ago
- This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?☆12Updated 2 years ago
- We investigated corruption robustness across different architectures including Convolutional Neural Networks, Vision Transformers, and th…☆16Updated 4 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 4 years ago
- Official PyTorch implementation of "Cross-Domain Ensemble Distillation for Domain Generalization" (ECCV 2022)☆25Updated 11 months ago