steffen-jung / robustness-dataset
GitHub repository of the ICLR 2023 paper "Neural Architecture Design and Robustness: A Dataset"
☆15Updated 2 years ago
Alternatives and similar repositories for robustness-dataset:
Users that are interested in robustness-dataset are comparing it to the libraries listed below
- Code for "Learning Where To Look – Generative NAS is Surprisingly Efficient"☆15Updated 2 years ago
- Official repository for our paper Robust Models are less Over-Confident☆20Updated last month
- Smooth Variational Graph Embeddings for Efficient Neural Architecture Search☆16Updated last year
- Code accompanying the AAAI 2021 paper "Spectral Distribution Aware Image Generation".☆23Updated 4 years ago
- The official repository for CosPGD: a unified white-box adversarial attack for pixel-wise prediction tasks.☆11Updated 8 months ago
- Smooth Variational Graph Embeddings for Efficient Neural Architecture Search☆15Updated 2 years ago
- Code for FrequencyLowCut Pooling (FLC pooling)☆20Updated last year
- This repo contains the data used in "Towards Understanding Climate Change Perceptions: A Social Media Dataset"☆14Updated 7 months ago
- Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective☆20Updated 10 months ago
- Certified Patch Robustness via Smoothed Vision Transformers☆42Updated 3 years ago
- Official Implementation for PlugIn Inversion☆16Updated 3 years ago
- A generic code base for neural network pruning, especially for pruning at initialization.☆30Updated 2 years ago
- This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?☆12Updated last year
- This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".☆45Updated 2 years ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated 2 years ago
- ☆22Updated 3 years ago
- This is the official implementation of our BMVC 2022 paper "SP-ViT: Learning 2D Spatial Priors for Vision Transformers"☆12Updated 2 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated 2 years ago
- Official implementation of "Removing Batch Normalization Boosts Adversarial Training" (ICML'22)☆19Updated 2 years ago
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆16Updated last year
- [TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"☆23Updated 5 years ago
- ☆19Updated 2 years ago
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆24Updated last year
- HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models☆18Updated 4 months ago
- One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks (ICLR 2023 Spotlight)☆13Updated 2 years ago
- Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch☆29Updated 3 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Updated 3 years ago
- This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.☆11Updated 3 years ago
- Code for the CCE algorithm proposed in "Towards Compositionality in Concept Learning" at ICML 2024.☆15Updated 10 months ago
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆16Updated 2 years ago