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Search results for python out of distribution
out-of-distribution
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23 search results found
Awesome Out Of Distribution Detection
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400
A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
Fan
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389
Official PyTorch implementation of Fully Attentional Networks
Imagenet R
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103
ImageNet-R(endition) and DeepAugment (ICCV 2021)
Augmax
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76
[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.
Cal
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64
[KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua.
Entropic Out Of Distribution Detection
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47
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.
Subpopbench
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46
[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
Distinction Maximization Loss
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34
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.
Large_vlm_distillation_ood
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29
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability (ICCV 2023)
Gtrans
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25
[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
Bpc_calibration
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23
[CVPR 2023] Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
Emssl
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21
[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
Size Invariant Gnns
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17
Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)
Unleashing Mask
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13
[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
Characterizing_generalization_in_deepmetriclearning
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11
Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.
Epvt And Skin Dg Benchamrk
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10
Domain generalization benchmark for skin lesion recognition, MICCAI 2023
Wsdm_gdn
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9
[WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang
Robust Deep Learning
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9
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.
In N Out
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7
Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"
Anomaly_datasets
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7
Repository for the paper "Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey"
Shortcut Ood Fairness
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6
The Limits of Fair Medical Imaging AI In The Wild
Roodmri
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6
AICONSlab's DL benchmarking platform to OOD data in MRI
Masking_strategies_bias_removal
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6
Masking Strategies for Background Bias Removal in Computer Vision Models (ICCVW OODCV 2023 paper)
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