hongyanz / TRADES-smoothingView external linksLinks
[JMLR] TRADES + random smoothing for certifiable robustness
☆14Sep 13, 2020Updated 5 years ago
Alternatives and similar repositories for TRADES-smoothing
Users that are interested in TRADES-smoothing are comparing it to the libraries listed below
Sorting:
- ☆12Sep 26, 2019Updated 6 years ago
- ☆16Oct 2, 2022Updated 3 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Aug 16, 2020Updated 5 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆16Apr 27, 2019Updated 6 years ago
- Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"☆13Oct 23, 2021Updated 4 years ago
- Post-processing for fair classification☆16Jun 30, 2025Updated 7 months ago
- ☆10Jul 25, 2024Updated last year
- Encodings for neural architecture search☆29Apr 5, 2021Updated 4 years ago
- An empirical investigation of deep learning theory☆16Oct 3, 2019Updated 6 years ago
- ☆13Jul 25, 2024Updated last year
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆19Oct 12, 2021Updated 4 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Jun 12, 2023Updated 2 years ago
- Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"☆34Apr 1, 2020Updated 5 years ago
- Experimental framework for running pytorch experiments☆14Mar 6, 2023Updated 2 years ago
- Local search for NAS☆18Nov 3, 2020Updated 5 years ago
- Discovering directional relations via minimum predictive information regularization☆23Jan 13, 2020Updated 6 years ago
- ☆41Jun 16, 2020Updated 5 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆20Dec 28, 2021Updated 4 years ago
- ☆25May 20, 2020Updated 5 years ago
- Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification☆24Nov 21, 2019Updated 6 years ago
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆24Jun 23, 2020Updated 5 years ago
- Code release to accompany paper "Geometry-Aware Gradient Algorithms for Neural Architecture Search."☆25Oct 7, 2020Updated 5 years ago
- ProxylessNAS-Pytorch☆24Aug 9, 2019Updated 6 years ago
- ☆26Dec 10, 2020Updated 5 years ago
- ☆29May 6, 2020Updated 5 years ago
- Implementation of Wasserstein adversarial attacks.☆24Jan 2, 2021Updated 5 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59May 24, 2019Updated 6 years ago
- Code for Active Mixup in 2020 CVPR☆23Jan 11, 2022Updated 4 years ago
- Library for normalizing flows and neural flows.☆26May 26, 2022Updated 3 years ago
- Fine-grained ImageNet annotations☆30May 25, 2020Updated 5 years ago
- ☆26Oct 26, 2020Updated 5 years ago
- Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control☆26Dec 8, 2022Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆61Sep 30, 2024Updated last year
- ☆35Sep 14, 2021Updated 4 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Jul 12, 2020Updated 5 years ago
- Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle☆179Jul 25, 2024Updated last year
- ☆30Feb 11, 2021Updated 5 years ago
- ☆38Oct 3, 2023Updated 2 years ago
- Code for reproducing work of ICML 2019 paper: Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Appli…☆12Jun 8, 2019Updated 6 years ago