out-of-distribution topic
SubpopBench
[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
large_vlm_distillation_ood
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability (ICCV 2023)
roodmri
AICONSlab's DL benchmarking platform to OOD data in MRI
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"
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. C...
Awesome-Out-Of-Distribution-Detection
Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source libraries e...
GTrans
[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
Unleashing-Mask
[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
bpc_calibration
[CVPR 2023] Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
size-invariant-GNNs
Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)