Collection of awesome test-time (domain/batch/instance) adaptation methods
Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
🧠🔗 From idea to production in just few lines: Graph-Based Programmable Neuro-Symbolic LM Framework - a production-first LM framework built with decade old Deep Learning best practices
A repository and benchmark for online test-time adaptation.
[ICML 2023] On Pitfalls of Test-Time Adaptation
AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
[NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
[CVPR 2024] TEA: Test-time Energy Adaptation
[ICCV 2023] This repo is official PyTorch implementation of Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction.
[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
[ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"
[NeurIPS 2024] WATT: Weight Average Test-Time Adaptation of CLIP
[ICLR 2023] Test-time Robust Personalization for Federated Learning
The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"
[NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
[CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation
Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".
Official PyTorch implementation of SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization (INTERSPEECH 2023 Oral Presentation)
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment, arXiv 2024 / CVPR 2025
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