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out-of-distribution-generalization

Here are 34 public repositories matching this topic...

ZigeW / SODA

[NeurIPS 2023] “SODA: Robust Training of Test-Time Data Adaptors”

zeroth-order-optimization test-time-adaptation out-of-distribution-generalization

Updated Oct 13, 2023
Python

Allliance / trodo

Official PyTorch implementation of "Scanning Trojaned Models Using Out-of-Distribution Samples" (NeurIPS 2024)

adversarial-attacks trustworthy-ai out-of-distribution-generalization backdoor-detection

Updated Oct 26, 2024
Jupyter Notebook

wooks527 / G-CPA

GradCAM-based Copy and Paste Augmentation

image-classification data-augmentation out-of-distribution-generalization

Updated Oct 10, 2022
Python

bratjay01 / Road-Seg

Enhancing road segmentation model for Asphalt edge detection

pytorch data-augmentation albumentations kornia out-of-distribution-generalization

Updated Sep 7, 2024
Jupyter Notebook

sophiewharrie / meta-learning-hierarchical-model-similar-causal-mechanisms

Code for the research paper Meta-learning with hierarchical models based on similarity of causal mechanisms

deep-learning supervised-learning similarity-measures bayesian-inference causality variational-inference causal-inference healthcare-application hierarchical-models bayesian-neural-networks medical-application meta-learning metalearning probabilistic-machine-learning out-of-distribution-generalization

Updated Feb 1, 2024
Python

VirtuosoResearch / Distribution-Shifts-in-CMNIST

domain-generalization distribution-shift out-of-distribution-generalization

Updated Dec 13, 2022
Python

etetteh / OoD_Gen-Chest_Xray

Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models

computer-vision medical-imaging chest-xray-images multilabel-classification medical-image-analysis nih-chest-x-ray mimic-cxr padchest-dataset quantization-aware-training pathological-images chestx-ray8 neurips-2021 balanced-sampling out-of-distribution-generalization torchxrayvision

Updated Oct 17, 2022
Python

gnyanesh-bangaru / loss-analysis-cka

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

deep-learning neural-networks image-classification representation-learning loss-functions out-of-distribution biased-data out-of-distribution-generalization

Updated Nov 11, 2022
Jupyter Notebook

deepmancer / rss-training-iclr2024

This is the official repository for the ICLR 2024 paper Out-Of-Domain Unlabeled Data Improves Generalization.

semi-supervised-learning robust-optimization unsupervised-learning conference-paper iclr robustness adversarial-learning self-supervised-learning generalization-error out-of-distribution out-of-domain distribution-shift out-of-distribution-generalization distributionally-robust-optimization iclr2024

Updated Sep 2, 2024
TeX

wondergo2017 / sild

Implementation codes for NeurIPS23 paper "Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts"

machine-learning dynamic spectral-analysis fourier-methods disentangled-representations graph-neural-networks dynamic-graphs distribution-shift out-of-distribution-generalization

Updated Mar 19, 2024
Python

tangli-udel / DRE

The Pytorch implementation for "Are Data-driven Explanations Robust against Out-of-distribution Data?" (CVPR 2023)

explainable-ai explainable-machine-learning out-of-distribution-generalization

Updated Oct 2, 2024
Python

juangamella / causal-chamber-paper

Code to reproduce the case studies of the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jonas Peters and Peter Bühlmann.

benchmarking machine-learning statistics ai symbolic-regression causality research-paper independent-component-analysis causal-discovery changepoint-detection out-of-distribution-generalization

Updated Nov 7, 2024
Jupyter Notebook

hosseinshn / Velodrome

Velodrome combines semi-supervised learning and out-of-distribution generalization (domain generalization) for drug response prediction and pharmacogenomics

bioinformatics pharmacogenomics transferlearning domain-generalization drug-response-prediction out-of-distribution-generalization

Updated Nov 17, 2021
Python

LFhase / GALA

[NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?

drug-discovery graph-neural-networks graph-representation-learning out-of-distribution-generalization invariant-learning causal-representation-learning

Updated Aug 25, 2024
Python

divelab / LECI

The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS 2023)

deep-learning pytorch graph-neural-networks pytorch-geometric out-of-distribution-generalization graph-out-of-distriubion

Updated Nov 4, 2024
Python

ForeverPs / PoER

Potential energy ranking for domain generalization (DG)

energy deep-learning ranking-algorithm out-of-distribution-generalization

Updated Apr 25, 2023
Python

qitianwu / FATE

Codes and datasets for NeurIPS21 paper “Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach”

tabular-data pytorch graph-neural-networks out-of-distribution-generalization

Updated Aug 22, 2022
Python

LFhase / FeAT

[NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization

spurious-correlations feature-learning domain-generalization out-of-distribution-generalization invariant-learning

Updated Jun 19, 2024
Python

qitianwu / IDCF

Code for ICML21 spotlight paper "Towards open-world recommendation: An inductive model-based collaborative filtering approach"

pytorch recommender-system graph-neural-networks out-of-distribution-generalization

Updated Jul 12, 2024
Python

mala-lab / ADShift

Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”

anomaly-detection image-anomaly-detection distribution-shift out-of-distribution-generalization

Updated Oct 25, 2023
Python

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