Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: out-of-distribution

PoorOtterBob/STONE-KDD-2024

Official repository of STONE (KDD 2024)

Language: Python - Size: 1.28 MB - Last synced: 9 days ago - Pushed: 10 days ago - Stars: 0 - Forks: 0

uulm-mrm/mmood3d

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

Size: 0 Bytes - Last synced: 19 days ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0

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

Size: 215 KB - Last synced: 18 days ago - Pushed: about 1 month ago - Stars: 559 - Forks: 58

chenshuang-zhang/imagenet_d

[CVPR2024 Highlight] Official Code for "ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object"

Language: Python - Size: 49.3 MB - Last synced: 16 days ago - Pushed: about 1 month ago - Stars: 31 - Forks: 4

xuanlinli17/large_vlm_distillation_ood

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

Language: Python - Size: 3.69 MB - Last synced: about 2 months ago - Pushed: 2 months ago - Stars: 41 - Forks: 4

SiyuanYan1/EPVT-and-Skin-DG-benchamrk

Domain generalization benchmark for skin lesion recognition, MICCAI 2023

Language: Python - Size: 4.34 MB - Last synced: about 2 months ago - Pushed: 4 months ago - Stars: 11 - Forks: 1

juntyr/phepy

Intuitive evaluation of out-of-distribution detectors using simple toy examples.

Language: Python - Size: 2.77 MB - Last synced: 9 days ago - Pushed: 5 months ago - Stars: 1 - Forks: 0

NVlabs/FAN

Official PyTorch implementation of Fully Attentional Networks

Language: Python - Size: 8.6 MB - Last synced: about 2 months ago - Pushed: about 1 year ago - Stars: 458 - Forks: 28

lixiaotong97/DSU

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

Language: Python - Size: 8.49 MB - Last synced: about 2 months ago - Pushed: about 2 years ago - Stars: 137 - Forks: 16

ObjectDR/ObjectDR.github.io

Project Page (ObjectDR)

Language: JavaScript - Size: 10.9 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

ananthu-aniraj/masking_strategies_bias_removal

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

Language: Python - Size: 2.72 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 8 - Forks: 1

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: Python - Size: 837 KB - Last synced: 3 months ago - Pushed: over 2 years ago - Stars: 12 - Forks: 0

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 Notebook - Size: 110 MB - Last synced: 25 days ago - Pushed: 6 months ago - Stars: 33 - Forks: 1

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: Python - Size: 4.16 MB - Last synced: 22 days ago - Pushed: over 1 year ago - Stars: 16 - Forks: 3

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: Python - Size: 2.45 MB - Last synced: 3 months ago - Pushed: over 1 year ago - Stars: 45 - Forks: 4

daniel-bogdoll/anomaly_datasets

Repository for the paper "Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey"

Language: Python - Size: 2.62 MB - Last synced: about 1 month ago - Pushed: 11 months ago - Stars: 8 - Forks: 3

akhtarvision/bpc_calibration

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

Language: Python - Size: 664 KB - Last synced: 4 months ago - Pushed: 12 months ago - Stars: 30 - Forks: 2

Confusezius/Characterizing_Generalization_in_DeepMetricLearning

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

Language: Python - Size: 9.31 MB - Last synced: about 1 month ago - Pushed: over 2 years ago - Stars: 24 - Forks: 1

YyzHarry/shortcut-ood-fairness

The Limits of Fair Medical Imaging AI In The Wild

Language: Python - Size: 63.5 KB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 5 - Forks: 1

pritamqu/OOD-VSSL

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

Language: Python - Size: 10.1 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 7 - Forks: 0

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: Python - Size: 289 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 64 - Forks: 9

dukang4655/Invariant-Matching-Property

Implementation of the algorithms from "Learning Invariant Representations under General Interventions on the Response"

Language: MATLAB - Size: 18.6 KB - Last synced: about 1 month ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

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: Python - Size: 309 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 1 - Forks: 0

hendrycks/imagenet-r

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

Language: Python - Size: 14.5 MB - Last synced: 7 months ago - Pushed: almost 3 years ago - Stars: 222 - Forks: 15

HICAI-ZJU/iMoLD

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

Language: Python - Size: 279 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

Feuermagier/Beyond_Deep_Ensembles

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

Language: Jupyter Notebook - Size: 2.65 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 3 - Forks: 0

SegwangKim/neural-seq2grid-module

AAAI 2021. Neural Sequence-to-grid Module for Learning Symbolic Rules

Language: Python - Size: 103 KB - Last synced: 8 months ago - Pushed: over 3 years ago - Stars: 5 - Forks: 2

AICONSlab/roodmri

AICONSlab's DL benchmarking platform to OOD data in MRI

Language: Python - Size: 40 KB - Last synced: 7 months ago - Pushed: about 2 years ago - Stars: 15 - Forks: 1

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: Python - Size: 915 KB - Last synced: 7 months ago - Pushed: over 2 years ago - Stars: 120 - Forks: 22

PromptStyler/PromptStyler.github.io

Project Page (PromptStyler, ICCV 2023)

Language: JavaScript - Size: 3.69 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 5 - Forks: 0

YyzHarry/SubpopBench

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

Language: Python - Size: 222 KB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 45 - Forks: 5

ZFancy/Unleashing-Mask

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

Language: Python - Size: 33.2 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 13 - Forks: 1

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.

Language: Jupyter Notebook - Size: 37.9 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

moucheng2017/EMSSL

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

Language: Python - Size: 4.19 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 21 - Forks: 1

ChandlerBang/GTrans

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

Language: Python - Size: 219 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 24 - Forks: 1

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: Python - Size: 3.75 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 9 - Forks: 0

karthik-d/FungiCLEF-2022-using-Network-Ensembles

Scripts, figures and working notes for the participation in FungiCLEF-2022, part of the 13th CLEF Conference, 2022

Language: Python - Size: 15.5 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 2 - Forks: 2

RomainGratier/Black-box_Optimization_via_Deep_Generative-Exploratory_Networks

Deep neural networks have garnered tremendous excitement in recent years thanks to their superior learning capacity in the presence of abundant data resources. However, collecting an exhaustive dataset covering all possible scenarios is often slow, expensive, and even impractical. The goal of this project is to devise a new learning framework that can learn from a finite dataset and noisy feedback of data properties to discover novel samples of particular interest. We will design and implement algorithms to interweave emerging deep generative modeling with classical Markov decision processes. We will evaluate our method in comparison to existing approaches through extensive experiments, including but not limited to visual semantic extrapolation and natural adversarial examples in the context of autonomous vehicles.

Language: Python - Size: 354 MB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0

yangarbiter/nearest-category-generalization

Nearest Category Generalization

Language: Jupyter Notebook - Size: 4.6 MB - Last synced: 10 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

camelop/NLP-Robustness

OOD Generalization and Detection (ACL 2020)

Language: Python - Size: 512 KB - Last synced: 10 months ago - Pushed: about 4 years ago - Stars: 59 - Forks: 9

PurdueMINDS/size-invariant-GNNs

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

Language: Python - Size: 130 KB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 18 - Forks: 1

Jingkang50/ICCV21_SCOOD

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

Language: Python - Size: 11.2 MB - Last synced: over 1 year ago - Pushed: about 2 years ago - Stars: 63 - Forks: 9

qqplot/arm Fork of henrikmarklund/arm

I'm now interested in Learning to Adapt to Domain Shift

Language: Python - Size: 5.22 MB - Last synced: about 1 month ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

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: Python - Size: 7.71 MB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 51 - Forks: 8

gnyanesh-bangaru/loss-analysis-cka

This work is a analysis of representations acquired for standard, OOD and Biased data on numerous objective functions.

Language: Jupyter Notebook - Size: 203 KB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

yangarbiter/close-category-generalization

Close Category Generalization

Size: 2.93 KB - Last synced: 10 months ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

Related Keywords
out-of-distribution 46 deep-learning 11 robustness 9 machine-learning 8 pytorch 7 computer-vision 7 domain-generalization 7 out-of-distribution-detection 7 ood-detection 6 ood 6 graph-neural-networks 5 anomaly-detection 4 ood-generalization 4 novelty-detection 3 open-set 3 object-detection 3 open-set-recognition 3 classification 3 domain-adaptation 3 robust-machine-learning 3 trustworthy-ai 3 imagenet 3 trustworthy-machine-learning 3 out-of-distribution-generalization 3 distribution-shift 3 uncertainty-estimation 2 ai-safety 2 osr 2 generalization 2 spurious-correlations 2 subpopulation 2 causality 2 bayesian-inference 2 image-classification 2 medical-imaging 2 natural-language-processing 2 model-robustness 2 adversarial-attacks 2 diffusion-models 2 dataset 2 image-recognition 2 synthetic-data 2 benchmark 2 svgd 1 icml-2023 1 ood-robustness 1 subgroup 1 subpopulation-shift 1 atypical-samples 1 forgetting 1 mask 1 response-surface-model 1 sosaa 1 uncertainty-quantification 1 spatio-temporal 1 bayesian 1 brats 1 computervision 1 em-algorithm 1 expectation-maximization 1 swag 1 wilds 1 lidar-object-detection 1 neural-network-architectures 1 benchmarking 1 cnn 1 corruptions 1 mri 1 neuroimaging 1 vision-transformer 1 adversarial-learning 1 imagenet-c 1 iv2024 1 normalization-techniques 1 iccv 1 iccv2023 1 prompt 1 source-free 1 vision-language 1 class-imbalance 1 icml 1 lung 1 xgboost 1 xgboost-classifier 1 data-driven-model 1 gans 1 wgan-gp 1 adversarial-robustness 1 albert 1 bert 1 out-of-domain 1 roberta 1 transformers 1 invariance 1 subgraphs 1 adaption 1 domain-shift 1 metalearning 1 biased-data 1 loss-functions 1