out-of-distribution

Here are 57 public repositories matching this topic...

huytransformer / Awesome-Out-Of-Distribution-Detection

Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc

awesome open-world awesome-list outlier-detection ood robustness anomaly-detection novelty-detection out-of-distribution out-of-distribution-detection ood-detection openset-recognition ood-generalization distribution-shift out-of-distribution-generalization

Updated Oct 26, 2024

NVlabs / FAN

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Official PyTorch implementation of Fully Attentional Networks

deep-learning corruption backbone imagenet image-classification coco object-detection semantic-segmentation visual-recognition cityscapes information-bottleneck self-attention pre-train out-of-distribution vision-transformers visual-grouping

Updated Mar 31, 2023
Python

hendrycks / imagenet-r

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ImageNet-R(endition) and DeepAugment (ICCV 2021)

robustness domain-adaptation out-of-distribution domain-generalization ml-safety

Updated Jul 23, 2021
Python

lixiaotong97 / DSU

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[ICLR 2022] Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference on Learning Representations (ICLR) 2022.

out-of-distribution domain-generalization iclr2022

Updated Mar 27, 2022
Python

VITA-Group / AugMax

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[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 normalization-techniques out-of-distribution model-robustness imagenet-c

Updated Dec 29, 2021
Python

YyzHarry / SubpopBench

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[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift

benchmark spurious-correlations class-imbalance subpopulation icml subgroup out-of-distribution domain-generalization ood-generalization ood-robustness subpopulation-shift icml-2023

Updated Jul 10, 2023
Python

yongduosui / CAL

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[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

Updated Nov 16, 2023
Python

dlmacedo / entropic-out-of-distribution-detection

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A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.

machine-learning deep-learning pytorch ood osr ai-safety open-set anomaly-detection novelty-detection robust-machine-learning open-set-recognition out-of-distribution out-of-distribution-detection ood-detection trustworthy-machine-learning trustworthy-ai

Updated Sep 22, 2022
Python

Jingkang50 / ICCV21_SCOOD

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The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.

computer-vision ood out-of-distribution out-of-distribution-detection model-robustness ood-detection

Updated Mar 21, 2022
Python

camelop / NLP-Robustness

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OOD Generalization and Detection (ACL 2020)

transformers albert bert robustness roberta out-of-distribution out-of-distribution-detection domain-generalization out-of-domain

Updated Apr 15, 2020
Python

ChandlerBang / GTrans

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[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"

robustness adversarial-attacks data-centric graph-neural-networks out-of-distribution distribution-shift test-time-adaptation

Updated Jun 23, 2023
Python

xuanlinli17 / large_vlm_distillation_ood

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Distilling Large Vision-Language Model with Out-of-Distribution Generalizability (ICCV 2023)

machine-learning deep-learning zero-shot-learning few-shot-learning out-of-distribution out-of-distribution-generalization open-vocabulary

Updated Apr 8, 2024
Python

dlmacedo / distinction-maximization-loss

Star

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.

machine-learning deep-learning pytorch classification ood osr uncertainty-estimation ai-safety open-set anomaly-detection novelty-detection robust-machine-learning open-set-recognition out-of-distribution out-of-distribution-detection ood-detection trustworthy-machine-learning trustworthy-ai

Updated Sep 22, 2022
Python

PoorOtterBob / STONE-KDD-2024

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Official repository of STONE (KDD 2024)

spatio-temporal out-of-distribution

Updated May 29, 2024
Python

chenshuang-zhang / imagenet_d

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[CVPR 2024 Highlight] ImageNet-D

benchmark recognition computer-vision dataset imagenet image-recognition robustness synthetic-data generative-models multi-modality out-of-distribution text-to-image-synthesis diffusion-models stable-diffusion large-language-model vision-language-model

Updated Oct 15, 2024
Python

taesiri / ZoomIsAllYouNeed

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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"

imagenet image-recognition object-detection ood neurips out-of-distribution imagenet-hard