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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...
Created 2023-08-07
71 commits to main branch, last one about a month ago
28
464
other
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Official PyTorch implementation of Fully Attentional Networks
Created 2022-04-20
18 commits to master branch, last one about a year ago
ImageNet-R(endition) and DeepAugment (ICCV 2021)
Created 2020-02-28
20 commits to master branch, last one 3 years ago
16
141
unknown
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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.
Created 2022-02-08
4 commits to main branch, last one 2 years ago
[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.
Created 2021-09-28
8 commits to main branch, last one 2 years ago
[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
Created 2023-02-22
19 commits to main branch, last one about a year ago
8
76
unknown
3
[KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua.
Created 2022-02-10
26 commits to main branch, last one 10 months ago
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 tim...
Created 2019-08-16
50 commits to master branch, last one 2 years ago
The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
Created 2021-08-20
7 commits to main branch, last one 2 years ago
[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
Created 2023-02-26
15 commits to main branch, last one about a year ago
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability (ICCV 2023)
Created 2023-06-14
18 commits to main branch, last one 5 months ago
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 increas...
Created 2022-05-10
40 commits to master branch, last one 2 years ago
Official repository of STONE (KDD 2024)
Created 2024-04-05
79 commits to main branch, last one 4 months ago
[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
Created 2022-05-24
33 commits to main branch, last one about a year ago
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"
Created 2023-03-09
85 commits to main branch, last one 11 months ago
[CVPR 2023] Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
Created 2023-03-22
20 commits to main branch, last one about a year ago