out-of-distribution

There are 61 repositories under out-of-distribution 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

    89438475

  • NVlabs/FAN

    Official PyTorch implementation of Fully Attentional Networks

    Language:Python477212728

  • hendrycks/imagenet-r

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

    Language:Python2637917

  • lixiaotong97/DSU

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

    Language:Python15431016

  • 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.

    Language:Python1258521

  • YyzHarry/SubpopBench

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

    Language:Python10741515

  • 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.

    Language:Python86248

  • dlmacedo/entropic-out-of-distribution-detection

    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.

    Language:Python754410

  • Jingkang50/ICCV21_SCOOD

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

    Language:Python70259

  • camelop/NLP-Robustness

    OOD Generalization and Detection (ACL 2020)

    Language:Python60339

  • ChandlerBang/GTrans

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

    Language:Python56316

  • xuanlinli17/large_vlm_distillation_ood

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

    Language:Python56125

  • 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.

    Language:Python45345

  • PoorOtterBob/STONE-KDD-2024

    Official repository of STONE (KDD 2024)

    Language:Python44122

  • chenshuang-zhang/imagenet_d

    [CVPR 2024 Highlight] ImageNet-D

    Language:Python41255

  • moucheng2017/EM-BPL-Semi-Seg

    [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation

    Language:Python39141

  • 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"

    Language:Jupyter Notebook37412

  • akhtarvision/bpc_calibration

    [CVPR 2023] Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection

    Language:Python30232

  • YyzHarry/shortcut-ood-fairness

    [Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization

    Language:Python26212

  • Confusezius/Characterizing_Generalization_in_DeepMetricLearning

    Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.

    Language:Python23301

  • PurdueMINDS/size-invariant-GNNs

    Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)

    Language:Python23401

  • Feuermagier/Beyond_Deep_Ensembles

    Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"

    Language:Jupyter Notebook22123

  • HICAI-ZJU/iMoLD

    Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)

    Language:Python21162

  • blacksingular/wsdm_GDN

    [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang

    Language:Python20211

  • OODRobustBench/OODRobustBench

    OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024

    Language:Python20111

  • edshkim98/LocalDiffusion-Hallucination

    Official code for 'Tackling Structural Hallucination in Image Translation with Local Diffusion' (ECCV'24 Oral)

    Language:Python19220

  • SiyuanYan1/EPVT-and-Skin-DG-benchamrk

    Domain generalization benchmark for skin lesion recognition, MICCAI 2023

    Language:Python18111

  • ZFancy/Unleashing-Mask

    [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"

    Language:Python18402

  • AICONSlab/roodmri

    AICONSlab's DL benchmarking platform to OOD data in MRI

    Language:Python17212

  • 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.

    Language:Python17103

  • yongduosui/AIA

    [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He.

    Language:Python16110

  • ananthu-aniraj/masking_strategies_bias_removal

    Masking Strategies for Background Bias Removal in Computer Vision Models (ICCVW OODCV 2023 paper)

    Language:Python15211

  • pritamqu/OOD-VSSL

    [NeurIPS 2023 (Spotlight)] Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts

    Language:Python14310
  • in-n-out

    p-lambda/in-n-out

    Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"

    Language:Python121210

  • PromptStyler/PromptStyler.github.io

    Project Page (PromptStyler, ICCV 2023)

    Language:JavaScript12200

  • uulm-mrm/mmood3d

    [IV 2024] Official code for "Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection"

    Language:Python12350