Projects in Awesome Lists tagged with out-of-distribution
A curated list of projects in awesome lists tagged with out-of-distribution .
https://github.com/NVlabs/FAN
Official PyTorch implementation of Fully Attentional Networks
backbone cityscapes coco corruption deep-learning image-classification imagenet information-bottleneck object-detection out-of-distribution pre-train self-attention semantic-segmentation vision-transformers visual-grouping visual-recognition
Last synced: 27 Nov 2024
https://github.com/hendrycks/imagenet-r
ImageNet-R(endition) and DeepAugment (ICCV 2021)
domain-adaptation domain-generalization ml-safety out-of-distribution robustness
Last synced: 17 Mar 2025
https://github.com/lixiaotong97/DSU
[ICLR 2022] Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference on Learning Representations (ICLR) 2022.
domain-generalization iclr2022 out-of-distribution
Last synced: 08 May 2025
https://github.com/vita-group/augmax
[NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.
adversarial-learning imagenet-c model-robustness normalization-techniques out-of-distribution
Last synced: 19 Apr 2025
https://github.com/yongduosui/CAL
[KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua.
causal-inference graph-neural-networks out-of-distribution
Last synced: 28 Nov 2024
https://github.com/jingkang50/iccv21_scood
The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
computer-vision model-robustness ood ood-detection out-of-distribution out-of-distribution-detection
Last synced: 21 Mar 2025
https://github.com/chandlerbang/gtrans
[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
adversarial-attacks data-centric distribution-shift graph-neural-networks out-of-distribution robustness test-time-adaptation
Last synced: 08 Apr 2025
https://github.com/dlmacedo/distinction-maximization-loss
A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.
ai-safety anomaly-detection classification deep-learning machine-learning novelty-detection ood ood-detection open-set open-set-recognition osr out-of-distribution out-of-distribution-detection pytorch robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-estimation
Last synced: 05 Apr 2025
https://chenshuang-zhang.github.io/imagenet_d/
[CVPR 2024 Highlight] ImageNet-D
benchmark computer-vision dataset diffusion-models generative-models image-recognition imagenet large-language-model multi-modality out-of-distribution recognition robustness stable-diffusion synthetic-data text-to-image-synthesis vision-language-model
Last synced: 31 Mar 2025
https://github.com/taesiri/zoomisallyouneed
Official code and data for NeurIPS 2023 paper "ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification"
image-recognition imagenet imagenet-hard neurips object-detection ood out-of-distribution
Last synced: 07 May 2025
https://github.com/Confusezius/Characterizing_Generalization_in_DeepMetricLearning
Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.
cars196 cub200-2011 deep-learning deep-metric-learning generalization out-of-distribution pytorch stanford-online-products
Last synced: 08 May 2025
https://github.com/hicai-zju/imold
Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)
molecular-representation-learning out-of-distribution
Last synced: 13 Jan 2025
https://github.com/OODRobustBench/OODRobustBench
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024
adversarial-examples adversarial-machine-learning out-of-distribution robustness
Last synced: 28 Mar 2025
https://github.com/dlmacedo/robust-deep-learning
A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.
anomaly-detection classification deep-learning deep-neural-networks machine-learning novelty-detection ood-detection open-set open-set-recognition out-of-distribution out-of-distribution-detection pytorch robust-deep-learning robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-calibration uncertainty-estimation uncertainty-neural-networks
Last synced: 05 Apr 2025
https://github.com/deepmancer/rss-training-iclr2024
This is the official repository for the ICLR 2024 paper Out-Of-Domain Unlabeled Data Improves Generalization.
adversarial-learning conference-paper distribution-shift distributionally-robust-optimization generalization-error iclr iclr2024 out-of-distribution out-of-distribution-generalization out-of-domain robust-optimization robustness self-supervised-learning semi-supervised-learning unsupervised-learning
Last synced: 31 Mar 2025
https://github.com/juntyr/phepy
Intuitive evaluation of out-of-distribution detectors using simple toy examples.
explainable-ai out-of-distribution visualisation
Last synced: 19 Mar 2025
https://github.com/hfooladi/alinemol
Exploring performance of machine learning model on out of distribution data in chemical domain
cheminformatics generalization molecular-property-prediction out-of-distribution
Last synced: 03 Mar 2025
https://github.com/uulm-mrm/mmood3d
[IV 2024] Official code for "Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection"
iv2024 lidar-object-detection nuscenes ood-object-detection out-of-distribution out-of-distribution-detection
Last synced: 20 Mar 2025
https://github.com/juntyr/prudent-response-surface-models
Prudent Response Surface Models combine predictions with confidence scores and uncertainty levels, allowing their use in downstream analysis even for high-uncertainty or out-of-distribution inputs.
machine-learning out-of-distribution response-surface-model sosaa uncertainty-quantification
Last synced: 19 Mar 2025