distribution-shift topic

A curated list of Robust Machine Learning papers/articles and recent advancements.

monk1337

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...

huytransformer

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

ChandlerBang

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

jameszhou-gl

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

qitianwu

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

KingJamesSong

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

neerajwagh

A repository and benchmark for online test-time adaptation.

mariodoebler

[ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"

weijiaheng

Predicting Out-of-Distribution Error with the Projection Norm

yaodongyu