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

A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

A repository and benchmark for online test-time adaptation.

[ICML23] On Pitfalls of Test-Time Adaptation

This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.

[ICCV 2023] This repo is official PyTorch implementation of Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction.

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

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

[ICLR 2023] Test-time Robust Personalization for Federated Learning

[NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering

The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"

Official PyTorch implementation of SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization (INTERSPEECH 2023 Oral Presentation)

[CVPR 2024] TEA: Test-time Energy Adaptation

Revisiting Test Time Adaptation Under Online Evaluation

Towards Unified and Effective Domain Generalization

Code base for "On-the-Fly Test-time Adaptation for Medical Image Segmentation"

Official code for the CVPR23 paper: "Improved Test-Time Adaptation for Domain Generalization"

AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.

[AAAI 2024] Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization

[MICCAI'22] Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift