robustness
There are 495 repositories under robustness topic.
microsoft/promptbench
A unified evaluation framework for large language models
BorealisAI/advertorch
A Toolbox for Adversarial Robustness Research
yfzhang114/Generalization-Causality
关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
hendrycks/robustness
Corruption and Perturbation Robustness (ICLR 2019)
Jingkang50/OpenOOD
Benchmarking Generalized Out-of-Distribution Detection
weijiaheng/Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
DmitryRyumin/INTERSPEECH-2023-Papers
INTERSPEECH 2023 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023 conference. Explore the latest advances in speech and language processing. Code included. Star the repository to support the advancement of speech technology!
hendrycks/natural-adv-examples
A Harder ImageNet Test Set (CVPR 2021)
huytransformer/Awesome-Out-Of-Distribution-Detection
A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
jxzhangjhu/Awesome-LLM-Uncertainty-Reliability-Robustness
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
utiasDSL/safe-control-gym
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
MadryLab/photoguard
Raising the Cost of Malicious AI-Powered Image Editing
pterhoer/FaceImageQuality
Code and information for face image quality assessment with SER-FIQ
YuejiangLIU/awesome-source-free-test-time-adaptation
A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
diffusion-classifier/diffusion-classifier
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
ChandlerBang/awesome-graph-attack-papers
Adversarial attacks and defenses on Graph Neural Networks.
clovaai/assembled-cnn
Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
bethgelab/model-vs-human
Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
alibaba/easyrobust
EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.
MinghuiChen43/awesome-trustworthy-deep-learning
A curated list of trustworthy deep learning papers. Daily updating...
hbaniecki/adversarial-explainable-ai
💡 Adversarial attacks on explanations and how to defend them
Verified-Intelligence/auto_LiRPA
auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs
hendrycks/ss-ood
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
ldkong1205/RoboDepth
[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
avilum/linqit
Extend python lists operations using .NET's LINQ syntax for clean and fast coding.
hendrycks/imagenet-r
ImageNet-R(endition) and DeepAugment (ICCV 2021)
wxjiao/Is-ChatGPT-A-Good-Translator
A preliminary evaluation of ChatGPT/GPT-4 for machine translation.
modestyachts/ImageNetV2
A new test set for ImageNet
hugochan/IDGL
Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".
Verified-Intelligence/alpha-beta-CROWN
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, and 2023)
jiachens/ModelNet40-C
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
bethgelab/robust-detection-benchmark
Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
ytongbai/ViTs-vs-CNNs
[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)
ashafahi/free_adv_train
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
ldkong1205/PointCloud-C
Benchmarking and Analyzing Point Cloud Perception Robustness under Corruptions
spotahome/gontroller
Go library to create resilient feedback loop/control controllers.