[NeurIPS 2020] code for "Boundary thickness and robustness in learning models"
☆20Dec 11, 2020Updated 5 years ago
Alternatives and similar repositories for boundary_thickness
Users that are interested in boundary_thickness are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228☆20Jan 7, 2022Updated 4 years ago
- Code for Neural Execution Engines: Learning to Execute Subroutines☆19Jan 11, 2021Updated 5 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 4 years ago
- ☆19Jun 21, 2021Updated 5 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆29Dec 22, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- This framework implements key experiments on the sparse double descent phenomenon (ICML 2022).☆15Dec 13, 2022Updated 3 years ago
- ☆162Feb 26, 2021Updated 5 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆29Oct 17, 2018Updated 7 years ago
- Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)☆112Aug 4, 2023Updated 3 years ago
- [NeurIPS 2024] AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models☆34Jun 9, 2025Updated last year
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Nov 14, 2021Updated 4 years ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆43Mar 18, 2023Updated 3 years ago
- ☆15May 2, 2026Updated 4 months ago
- [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang☆116Dec 30, 2021Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆24Jan 26, 2021Updated 5 years ago
- [NeurIPS 2022] "Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets" by Ruisi Cai*, Zhenyu Zh…☆21Oct 1, 2022Updated 3 years ago
- Original dataset release for CIFAR-10H☆90Mar 23, 2026Updated 6 months ago
- Implementation of Centered Kernel Alignment (CKA)☆10Apr 7, 2021Updated 5 years ago
- This is the official implementation of the paper "Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness,"…☆19Jul 15, 2024Updated 2 years ago
- ☆12May 6, 2022Updated 4 years ago
- Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"☆192Feb 18, 2021Updated 5 years ago
- This is for the papers I review every week☆14May 20, 2020Updated 6 years ago
- [WIP] [NeurIPS 2025 Spotlight] Angular Steering: Behavior Control via Rotation in Activation Space☆25May 25, 2026Updated 4 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Localizing Memorized Sequences in Language Models☆23Oct 15, 2025Updated 11 months ago
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆28Mar 15, 2022Updated 4 years ago
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆44Aug 3, 2020Updated 6 years ago
- ☆14Mar 16, 2020Updated 6 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Sep 13, 2023Updated 3 years ago
- ☆11Apr 6, 2019Updated 7 years ago
- A pytorch implementation of "Ensemble Adversarial Training : Attacks and Defenses"☆10Sep 4, 2019Updated 7 years ago
- Concise Reasoning via Reinforcement Learning☆13Apr 16, 2025Updated last year
- Codes for Category-aware Generative Adversarial Networks (AAAI 2020)☆19Sep 4, 2020Updated 6 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- A tensorflow implementation and improvement of CVPR 2019 paper 'ComDefend'.☆15Apr 13, 2020Updated 6 years ago
- [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training☆32Jan 9, 2022Updated 4 years ago
- Library for the Test-based Calibration Error (TCE) metric to quantify the degree to classifier calibration.☆14Sep 15, 2023Updated 3 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Sep 23, 2021Updated 5 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆49Dec 30, 2021Updated 4 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆11Dec 24, 2021Updated 4 years ago
- Implementation of paper "Do Wide and Deep Networks Learn the Same Things?"☆16Mar 15, 2022Updated 4 years ago