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34 search results found

Awesome Out Of Distribution Detection ⭐ 400

A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization

Awesome Test Time Adaptation ⭐ 378

Collection of awesome test-time (domain/batch/instance) adaptation methods

Conformal Prediction ⭐ 349

Lightweight, useful implementation of conformal prediction on real data.

GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

Frouros ⭐ 153

Frouros: an open-source Python library for drift detection in machine learning systems.

Test Time Adaptation ⭐ 103

A repository and benchmark for online test-time adaptation.

[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).

Prg4ssl Mnar ⭐ 72

"Towards Semi-supervised Learning with Non-random Missing Labels" by Yue Duan (ICCV 2023)

Object Centric Library ⭐ 60

Library for the training and evaluation of object-centric models (ICML 2022)

Awesome Distribution Shift ⭐ 57

A curated list of papers and resources about the distribution shift in machine learning.

Raincoat ⭐ 45

Domain Adaptation for Time Series Under Feature and Label Shifts

Doubleadapt ⭐ 42

The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.

Graphood Gnnsafe ⭐ 42

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

Whyshift ⭐ 35

A python package providing a benchmark with various specified distribution shift patterns.

Anoshift ⭐ 33

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

Shift Robust Gnns ⭐ 24

"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')

Rlsbench ⭐ 20

Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift

Gpt 4v Distribution Shift ⭐ 16

Code for "How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation"

Sustaingym ⭐ 16

Reinforcement Learning Environments for Sustainable Energy Systems

Rankfeat ⭐ 16

NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection"

Ttt Plus Plus ⭐ 14

[NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?

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

Evaluating Eeg Representations ⭐ 12

Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.

Projnorm ⭐ 11

Predicting Out-of-Distribution Error with the Projection Norm

[ICLR'22] Self-supervised learning optimally robust representations for domain shift.

Detectron ⭐ 9

Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"

Ca Stinv Cnn ⭐ 9

Code for "Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training"

Biquality Learn ⭐ 8

A Python Library for Biquality Learning

Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"

Rda4robustssl ⭐ 7

"RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning" by Yue Duan (ECCV 2022)

Transferattacksurrogates ⭐ 7

The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability". We study how to train surrogates model for boosting transfer attack.

Global-Local Regularization Via Distributional Robustness (AISTATS 2023)

Related Searches

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Domain Adaptation Distribution Shift (3)

Distribution Shift Test Time Adaptation (3)

1-34 of 34 search results

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