| ADTE | Adaptive Debiasing Tsallis Entropy for Test-Time Adaptation | ICLR 2026 | PDF |
| BETA | Adapting in the Dark: Efficient and Stable Test-Time Adaptation for Black-Box Models | arXiv 2026 | PDF |
| CANDI | CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift | AAAI 2026 | PDF |
| COA-HAR | COA-HAR: Exploring contrastive online test-time adaptation for wearable sensor-based human activity recognition using sensor data augmentation | ESWA 2026 | |
| Diffusion-calibrated Continual Test-time Adaptation | AAAI 2026 | |
| EMO-TTA | EMO-TTA: Improving Test-Time Adaptation of Audio-Language Models for Speech Emotion Recognition | ICASSP 2026 | PDF |
| FGA | Flatness Guided Test-Time Adaptation for Vision-Language Models | ICLR 2026 | PDF |
| GOLD | The Golden Subspace: Where Efficiency Meets Generalization in Continual Test-Time Adaptation | CVPR 2026 | PDF · Code |
| Highlight-TTA | Test-Time Adaptation for Video Highlight Detection Using Meta-Auxiliary Learning and Cross-Modality Hallucinations | WACV 2026 | PDF |
| LN-TTA | Revisiting Layer Normalization for Point Cloud Test Time Adaptation | WACV 2026 | |
| Logit-Adjusted Test-Time Adaptation under Partial Class Imbalance | WACV 2026 | PDF |
| NeuroAdapt-Bench | Test-Time Adaptation for EEG Foundation Models: A Systematic Study under Real-World Distribution Shifts | arXiv 2026 | PDF |
| OATTA | Order-Aware Test-Time Adaptation: Leveraging Temporal Dynamics for Robust Streaming Inference | arXiv 2026 | PDF |
| PFT3A | Prior-free Tabular Test-time Adaptation | ICLR 2026 | PDF · Code |
| ProtoTTA | ProtoTTA: Prototype-Guided Test-Time Adaptation | arXiv 2026 | PDF |
| PTA | Prototype-Based Test-Time Adaptation of Vision-Language Models | arXiv 2026 | PDF |
| sEEG-MDM-TENT | A Robust Multi-Scale Framework with Test-Time Adaptation for sEEG-Based Speech Decoding | ICASSP 2026 | PDF · Code |
| SemFD-TTA | Test-Time Adaptation through Semantically-guided Feature Decomposition for Few-shot Chest X-ray Diagnosis | WACV 2026 | PDF |
| STAD | Temporal Test-Time Adaptation with State-Space Models | ICLR 2026 | |
| TaTa | Training-Free Test-Time Adaptation with Brownian Distance Covariance in Vision-Language Models | ICASSP 2026 | PDF |
| Test-Time Adaptation for Tactile-Vision-Language Models | arXiv 2026 | PDF |
| TSA | Structural Alignment Improves Graph Test-Time Adaptation | AISTATS 2026 | PDF · Code |
| TUNE | Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time | AAAI 2026 | PDF |
| Uni-Adapter | Adapt-As-You-Walk Through the Clouds: Training-Free Online Test-Time Adaptation of 3D Vision-Language Foundation Models | AAAI 2026 | PDF · Code |
| 3DD-TTA | Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models | WACV 2025 | PDF · Code |
| ACCUP | Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation | KDD 2025 | PDF |
| AdaKWS | AdaKWS: Towards Robust Keyword Spotting with Test-Time Adaptation | INTERSPEECH 2025 | PDF |
| AdaND | Noisy Test-Time Adaptation in Vision-Language Models | ICLR 2025 | PDF |
| ADAPT | Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment | NeurIPS 2025 | PDF |
| AdaSEA | Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes | ICML 2025 | PDF |
| AEA | Adaptive Energy Alignment for Accelerating Test-Time Adaptation | ICLR 2025 | PDF |
| AEO | Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization | ICLR 2025 | PDF |
| Analytic CTTA | Analytic Continual Test-Time Adaptation for Multi-Modality Corruption | ACM MM 2025 | PDF · Code |
| ARC | Adaptive Retention & Correction: Test-Time Training for Continual Learning | ICLR 2025 | PDF |
| Audio-BN TTA | An Investigation of Test-time Adaptation for Audio Classification under Background Noise | arXiv 2025 | PDF |
| Audio-Cue Video TTA | Exploring Audio Cues for Enhanced Test-Time Video Model Adaptation | IEEE TCSVT 2025 | |
| BATCLIP | BATCLIP: Bimodal Online Test-Time Adaptation for CLIP | ICCV 2025 | PDF · Code |
| BCA | Bayesian Test-Time Adaptation for Vision-Language Models | CVPR 2025 | PDF |
| BESSA | Bayesian Weight Enhancement with Steady-State Adaptation for Test-time Adaptation in Dynamic Environments | ICML 2025 | PDF |
| Binary-Feedback TTA | Test-Time Adaptation with Binary Feedback | ICML 2025 | PDF |
| BufferTTA | Buffer layers for Test-Time Adaptation | NeurIPS 2025 | PDF |
| CAT-TPT | CAT-TPT: Class-Agnostic Text-based Test-time Prompt Tuning for Vision-Language Models | IJCV 2025 | |
| CLIPArTT | CLIPArTT: Adaptation of CLIP to New Domains at Test Time | WACV 2025 | PDF · Code |
| CLIPTTA | CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation | NeurIPS 2025 | PDF |
| COME | COME: Test-time Adaption by Conservatively Minimizing Entropy | ICLR 2025 | PDF · Code |
| COSMIC | COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation | CVPR 2025 | PDF · Code |
| D2GO | Test-time Graph OOD Detection via Dynamic Dictionary Expansion and OOD Score Calibration | ACM MM 2025 | |
| DETTA | Diffusion-Enhanced Test-Time Adaptation with Text and Image Augmentation | IJCV 2025 | |
| DOTA | DOTA: Distributional Test-time Adaptation of Vision-Language Models | NeurIPS 2025 | PDF |
| DPCore | DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation | ICML 2025 | PDF · Code |
| DPL | Decoupled Prototype Learning for Reliable Test-Time Adaptation | IEEE TMM 2025 | PDF |
| DynaPrompt | DynaPrompt: Dynamic Test-Time Prompt Tuning | ICLR 2025 | PDF |
| EATA-C | Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting | IEEE TPAMI 2025 | PDF |
| EATTA | Effortless Active Labeling for Long-Term Test-Time Adaptation | CVPR 2025 | PDF |
| EBaR | EBaR: Efficient Buffer and Resetting for Single-Sample Continual Test-Time Adaptation | ACM MM 2025 | |
| ETTA | ETTA: Efficient Test-Time Adaptation for Vision-Language Models through Dynamic Embedding Updates | BMVC 2025 | PDF · Code |
| FATA | Feature Augmentation Based Test-Time Adaptation | WACV 2025 | PDF |
| FedCTTA | FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning | IJCNN 2025 | PDF |
| FreeTTA | Free on the Fly: Enhancing Flexibility in Test-Time Adaptation with Online EM | CVPR 2025 | PDF |
| FRET | FRET: Feature Redundancy Elimination for Test Time Adaptation | ICCV 2025 | |
| FTAT | Fully Test-time Adaptation for Tabular Data | AAAI 2025 | PDF · Code |
| FTTA-FD | Fully Test-Time Adaptation for Feature Decrement in Tabular Data | IJCAI 2025 | PDF |
| GAD-T3 | Cross-Domain Graph Anomaly Detection via Test-Time Training with Homophily-Guided Self-Supervision | TMLR 2025 | PDF |
| GeneralizeFormer | GeneralizeFormer: Layer-Adaptive Model Generation Across Test-Time Distribution Shifts | WACV 2025 | PDF |
| GGTTA | Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers | AAAI 2025 | PDF |
| GRAIL | From Noisy to Native: LLM-driven Graph Restoration for Test-Time Graph Domain Adaptation | arXiv 2025 | PDF |
| GS-Bias | GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models | ICML 2025 | PDF |
| GSDTTA | 3D Test-time Adaptation via Graph Spectral Driven Point Shift | ICCV 2025 | PDF |
| HKPT | Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation | CVPR 2025 | PDF |
| HVTPG | Hierarchical Variational Test-Time Prompt Generation for Zero-Shot Generalization | ICCV 2025 | PDF |
| HyperTTA | HyperTTA: Test-Time Adaptation for Hyperspectral Image Classification under Distribution Shifts | arXiv 2025 | PDF |
| IT3 | IT3: Idempotent Test-Time Training | ICML 2025 | PDF |
| JTTA | Joint Test-time Adaptation with Refined Pseudo-labels and Latent Score Matching | ACM MM 2025 | |
| LCoTTA | Lifelong Test-Time Adaptation via Online Learning in Tracked Low-Dimensional Subspace | NeurIPS 2025 | PDF |
| Local-Train Tabular | Test-time local training of neural network for tabular data | Sci. Rep. 2025 | |
| LSCD-TTA | Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification | JAG 2025 | PDF |
| Matcha | Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation | ICLR 2025 | PDF · Code |
| MCP | Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models | ICCV 2025 | PDF |
| MiDl | Test-Time Adaptation for Combating Missing Modalities in Egocentric Videos | ICLR 2025 | PDF |
| Mint | Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions | NeurIPS 2025 | PDF |
| ML-TTA | Multi-Label Test-Time Adaptation with Bound Entropy Minimization | ICLR 2025 | PDF · Code |
| MoME-TTA | Test-Time Adaptation of Medical Vision-Language Models with Mixture of Modality Experts | ACM MM 2025 | |
| NeuroTTT | NeuroTTT: Bridging Pretraining-Downstream Task Misalignment in EEG Foundation Models via Test-Time Training | arXiv 2025 | PDF · Code |
| O-TPT | O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models | CVPR 2025 | PDF · Code |
| OODD | OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary | CVPR 2025 | PDF |
| Open-IRT | OOD-Barrier: Build a Middle-Barrier for Open-Set Single-Image Test Time Adaptation via Vision Language Models | NeurIPS 2025 | PDF |
| OSLS-TT | Open Set Label Shift with Test Time Out-of-Distribution Reference | CVPR 2025 | PDF |
| OT-VP | OT-VP: Optimal Transport-Guided Visual Prompting for Test-Time Adaptation | WACV 2025 | PDF |
| PAF | PAF: Prototype Adaptive Fusion for Test-Time Adaptation of Vision-Language Models | ACM MM 2025 | |
| PAF-OSTTA | Stabilizing Open-Set Test-Time Adaptation via Primary-Auxiliary Filtering and Knowledge-Integrated Prediction | BMVC 2025 | PDF |
| PatAug | PatAug: Augmentation of Augmentation for Test-Time Adaptation | ACM MM 2025 | |
| PGNDS | Test-Time Graph Neural Dataset Search With Generative Projection | ICML 2025 | PDF |
| Point-Cache | Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis | CVPR 2025 | PDF |
| PointMAC | PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion | NeurIPS 2025 | PDF · Code |
| ProtoMM | Dynamic Multimodal Prototype Learning in Vision-Language Models | ICCV 2025 | PDF |
| PTTA | PTTA: Purifying Malicious Samples for Test-Time Model Adaptation | ICML 2025 | PDF · Code |
| Purge-Gate | Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token Purging | ICCV 2025 | PDF |
| R-TPT | R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning | CVPR 2025 | PDF · Code |
| RA-TTA | RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models | ICLR 2025 | PDF |
| ReC-TTT | ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training | WACV 2025 | PDF · Code |
| ReCAP | Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation | ICML 2025 | PDF |
| REM | Ranked Entropy Minimization for Continual Test-Time Adaptation | ICML 2025 | PDF |
| REM | Revisiting Entropy Minimization for Long-Sequence Continual Test-Time Adaptation | BMVC 2025 | PDF |
| ReservoirTTA | ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains | NeurIPS 2025 | PDF |
| ReTA | Advancing Reliable Test-Time Adaptation of Vision-Language Models under Visual Variations | ACM MM 2025 | PDF · Code |
| ReTTA | Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality | NeurIPS 2025 (Spotlight) | PDF |
| RM-TTA | Monitoring Risks in Test-Time Adaptation | NeurIPS 2025 | PDF |
| SCA | Statistics Caching Test-Time Adaptation for Vision-Language Models | NeurIPS 2025 | PDF |
| SCAP | SCAP: Transductive Test-Time Adaptation via Supportive Clique-based Attribute Prompting | CVPR 2025 | PDF |
| SDA | Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment | CVPR 2025 | PDF · Code |
| SegAssist | Segmentation Assisted Incremental Test Time Adaptation in an Open World | BMVC 2025 | PDF |
| Self-Bootstrapping TTA | Self-Bootstrapping for Versatile Test-Time Adaptation | ICML 2025 | PDF |
| SMART-PC | SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds | ICML 2025 | PDF |
| SNAP | SNAP: Low-Latency Test-Time Adaptation with Sparse Updates | NeurIPS 2025 | PDF |
| SoTa-DiT | Disentangle Source and Target Knowledge for Continual Test-Time Adaptation | WACV 2025 | PDF |
| SSG | Training-Free Test-Time Adaptation via Shape and Style Guidance for Vision-Language Models | NeurIPS 2025 | PDF |
| StatA | Realistic Test-Time Adaptation of Vision-Language Models | CVPR 2025 | PDF · Code |
| SuMi | Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises | ICLR 2025 | PDF · Code |
| SURGEON | SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity | CVPR 2025 | PDF |
| SVWA | Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging | WACV 2025 (Oral) | PDF · Code |
| T2ARD | Cross-domain Rumor Detection via Test-Time Adaptation and Large Language Models | EMNLP 2025 | PDF |
| TACT | Test-Time Adaptation by Causal Trimming | NeurIPS 2025 | PDF · Code |
| TAPT | TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models | CVPR 2025 | PDF |
| TCA | Test-time Correlation Alignment | ICML 2025 | PDF |
| TCA | Maintaining Consistent Inter-Class Topology in Continual Test-Time Adaptation | CVPR 2025 | PDF |
| TCA | Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation | ICCV 2025 | PDF · Code |
| Test-Time Training for Speech Enhancement | Interspeech 2025 | PDF |
| TPS | Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models | WACV 2025 | PDF · Code |
| TT-GREB | Test-Time Graph Rebirth: Serving GNN Generalization Under Distribution Shifts | ICLR 2025 | PDF |
| TT-RAA | Test-Time Retrieval-Augmented Adaptation for Vision-Language Models | ICCV 2025 | PDF |
| TTA-FedDG | TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization | AAAI 2025 | PDF |
| TTA-SBAT | Test-Time Adaptation with Source Based Auxiliary Tasks | TMLR 2025 | PDF |
| TTL | Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models | WACV 2025 | PDF · Code |
| TTSA | Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data | ICML 2025 | PDF |
| ZOA | Test-Time Model Adaptation for Quantized Neural Networks | ACM MM 2025 | PDF · Code |
| Ada-ReAlign | Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment | NeurIPS 2024 | PDF |
| AdaPrompt | Robust Test-Time Adaptation for Zero-Shot Prompt Tuning | AAAI 2024 | PDF |
| AdapTable | AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler | NeurIPS Workshop 2024 | PDF · Code |
| AdaptOD | Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation | NeurIPS 2024 | PDF · Code |
| APM | Asynchronous Perception Machine for Efficient Test Time Training | NeurIPS 2024 | PDF · Code |
| ATTA | ATTA: Adaptive Test-Time Adaptation for Multi-Modal Sleep Stage Classification | IJCAI 2024 | PDF |
| BeCoTTA | BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation | ICML 2024 | PDF · Code |
| BFTT3D | Backpropagation-free Network for 3D Test-time Adaptation | CVPR 2024 | PDF |
| BoostAdapter | BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping | NeurIPS 2024 | PDF · Code |
| BoT-TTA | Bag of Tricks for Fully Test-Time Adaptation | WACV 2024 | PDF · Code |
| C-TPT | C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion | ICLR 2024 | PDF · Code |
| CEMA | Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation | ICLR 2024 | PDF · Code |
| CloudFixer | CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation | ECCV 2024 | PDF · Code |
| CMF | Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation | ICLR 2024 | PDF · Code |
| CoLA | Cross-Device Collaborative Test-Time Adaptation | NeurIPS 2024 | PDF · Code |
| Continual-MAE | Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation | CVPR 2024 | PDF · Code |
| DA-TTA | Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams | ECCV 2024 | PDF |
| DART | DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation | AAAI 2024 | PDF · Code |
| DCT | Domain-Conditioned Transformer for Fully Test-time Adaptation | ACM MM 2024 | PDF · Code |
| Decorruptor | Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation | ECCV 2024 | PDF · Code |
| DeYO | Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors | ICLR 2024 (Spotlight) | PDF · Code |
| Diversity Buffer | Diversity-Aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-Time Adaptation | ICASSP 2024 | PDF · Code |
| DMN | Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models | CVPR 2024 | PDF · Code |
| DPAL | Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-Time Adaptation | ECCV 2024 | PDF · Code |
| DPE | Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models | NeurIPS 2024 | PDF · Code |
| DPLOT | Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation | CVPR 2024 | PDF · Code |
| DSS | Continual Test-time Domain Adaptation via Dynamic Sample Selection | WACV 2024 | PDF |
| DUSA | Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation | NeurIPS 2024 | PDF · Code |
| EEG-OTTA | Calibration-free online test-time adaptation for electroencephalography motor imagery decoding | BCI 2024 | PDF |
| FOA | Test-Time Model Adaptation with Only Forward Passes | ICML 2024 (Oral) | PDF · Code |
| GOODAT | GOODAT: Towards Test-Time Graph Out-of-Distribution Detection | AAAI 2024 | PDF · Code |
| GraphCTA | Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation | WWW 2024 | PDF · Code |
| GTTA | Introducing Intermediate Domains for Effective Self-Training during Test-Time | IJCNN 2024 | PDF · Code |
| HILTTA | Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection | TMLR 2024 | PDF |
| HisTPT | Historical Test-time Prompt Tuning for Vision Foundation Models | NeurIPS 2024 | PDF |
| HomoTTT | A Fully Test-Time Training Framework for Semi-Supervised Node Classification on Out-of-Distribution Graphs | ACM TKDD 2024 | |
| IG-Defense | Interpretability-Guided Test-Time Adversarial Defense | ECCV 2024 | PDF |
| IST | Improved Self-Training for Test-Time Adaptation | CVPR 2024 | PDF |
| L-TTA | L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer | NeurIPS 2024 | PDF · Code |
| LAW | Layer-Wise Auto-Weighting for Non-Stationary Test-Time Adaptation | WACV 2024 | PDF · Code |
| LLM Embeddings Improve Test-time Adaptation to Tabular Y|X-Shifts | arXiv 2024 | PDF |
| LLMTTT | Test-Time Training on Graphs with Large Language Models (LLMs) | ACM MM 2024 | PDF |
| M2N2 | When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection | AAAI 2024 | PDF · Code |
| MedBN | MedBN: Robust Test-Time Adaptation against Malicious Test Samples | CVPR 2024 | PDF · Code |
| MeTTA | MeTTA: Single-View to 3D Textured Mesh Reconstruction with Test-Time Adaptation | BMVC 2024 | PDF · Code |
| MTA | On the Test-Time Zero-Shot Generalization of Vision-Language Models: Do We Really Need Prompt Learning? | CVPR 2024 | PDF · Code |
| OBAO | Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation | ECCV 2024 | PDF · Code |
| OFTTA | Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition | IMWUT 2024 | PDF · Code |
| OTA | Towards Robust Test-time Adaptation Method for Open-set Recognition | JOS 2024 | PDF |
| PeTTA | Persistent Test-time Adaptation in Recurring Testing Scenarios | NeurIPS 2024 | PDF · Code |
| PROGRAM | PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation | ICLR 2024 | PDF |
| pSTarC | pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation | WACV 2024 | PDF |
| REALM | REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation | WACV 2024 | PDF |
| RoID | Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction | WACV 2024 | PDF · Code |
| SGTTA | Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration | AAAI 2024 | PDF |
| SimATTA | Active Test-Time Adaptation: Theoretical Analyses and An Algorithm | ICLR 2024 | PDF · Code |
| SLWI | Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation | ICML 2024 | PDF |
| SOGA | Source Free Graph Unsupervised Domain Adaptation | WSDM 2024 | PDF · Code |
| STAMP | STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay | ECCV 2024 | PDF · Code |
| STAMP | Outlier-Aware Test-Time Adaptation with Stable Memory Replay | ECCV 2024 | PDF · Code |
| STMA | Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment | arXiv 2024 | PDF |
| SVP-FTTA | Singular Value Penalization and Semantic Data Augmentation for Fully Test-Time Adaptation | AAAI 2024 | PDF |
| T3AL | Test-Time Zero-Shot Temporal Action Localization | CVPR 2024 | PDF · Code |
| TabLog | TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules | ICML 2024 | PDF · Code |
| TDA | Efficient Test-Time Adaptation of Vision-Language Models | CVPR 2024 | PDF · Code |
| TEA | TEA: Test-time Energy Adaptation | CVPR 2024 | PDF · Code |
| TEMA | Unraveling Batch Normalization for Realistic Test-Time Adaptation | AAAI 2024 | PDF · Code |
| TRIBE | Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization | AAAI 2024 | PDF · Code |
| TTAC++ | Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training | IEEE TPAMI 2024 | PDF · Code |
| TTDG-FAS | Test-Time Domain Generalization for Face Anti-Spoofing | CVPR 2024 | PDF |
| UniEnt | Unified Entropy Optimization for Open-Set Test-Time Adaptation | CVPR 2024 | PDF · Code |
| VCoTTA | Variational Continual Test-Time Adaptation | arXiv 2024 | PDF |
| Versatile-CTTA | A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability | CVPR 2024 | PDF |
| ViDA | ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation | ICLR 2024 | PDF · Code |
| VNL | Learning Variational Neighbor Labels for Test-Time Domain Generalization | CoLLAs 2024 | PDF |
| WATT | WATT: Weight Average Test-Time Adaptation of CLIP | NeurIPS 2024 | PDF · Code |
| ZERO | Frustratingly Easy Test-Time Adaptation of Vision-Language Models | NeurIPS 2024 | PDF · Code |
| 3A-TTA | Test-Time Adaptation for Robust Face Anti-Spoofing | BMVC 2023 | PDF |
| ActMAD | ActMAD: Activation Matching to Align Distributions for Test-Time-Training | CVPR 2023 | PDF · Code |
| AdaNPC | AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation | ICML 2023 | PDF · Code |
| AME | Exploring Motion Cues for Video Test-Time Adaptation | ACM MM 2023 | PDF |
| ATP | Adaptive Test-Time Personalization for Federated Learning | NeurIPS 2023 | PDF · Code |
| AUTO | AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection | arXiv 2023 | PDF |
| CVP | Convolutional Visual Prompt for Robust Visual Perception | NeurIPS 2023 | PDF |
| DDA | Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption | CVPR 2023 | PDF · Code |
| DELTA | DELTA: Degradation-Free Fully Test-Time Adaptation | ICLR 2023 | PDF |
| DiffTPT | Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning | ICCV 2023 | PDF · Code |
| Diffusion-TTA | Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback | NeurIPS 2023 | PDF · Code |
| DomainAdaptor | DomainAdaptor: A Novel Approach to Test-time Adaptation | ICCV 2023 | PDF · Code |
| EcoTTA | EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization | CVPR 2023 | PDF |
| FedICON | Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning | NeurIPS 2023 | PDF |
| FedTHE | Test-Time Robust Personalization for Federated Learning | ICLR 2023 | PDF · Code |
| FR-GNN | FR-GNN: Mitigating the Impact of Distribution Shift on Graph Neural Networks via Test-Time Feature Reconstruction | arXiv 2023 | PDF |
| GraphPatcher | GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation | NeurIPS 2023 | PDF · Code |
| GTrans | Empowering Graph Representation Learning with Test-Time Graph Transformation | ICLR 2023 | PDF · Code |
| IAI | A Unified Framework for Robustness on Diverse Sampling Errors | ICCV 2023 | PDF |
| ITTA | Improved Test-Time Adaptation for Domain Generalization | CVPR 2023 | PDF · Code |
| Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts | ICCV 2023 | PDF |
| MATE | MATE: Masked Autoencoders are Online 3D Test-Time Learners | ICCV 2023 | PDF · Code |
| MECTA | MECTA: Memory-Economic Continual Test-Time Model Adaptation | ICLR 2023 | PDF · Code |
| NHL | Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation | CVPR 2023 | PDF |
| ODS | ODS: Test-Time Adaptation in the Presence of Open-World Data Shift | ICML 2023 (Oral) | PDF · Code |
| OWTTT | On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion | ICCV 2023 (Oral) | PDF · Code |
| PETAL | A Probabilistic Framework for Lifelong Test-Time Adaptation | CVPR 2023 | PDF · Code |
| Point-TTA | Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning | ICCV 2023 | PDF |
| PromptAlign | Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization | NeurIPS 2023 | PDF · Code |
| RMT | Robust Mean Teacher for Continual and Gradual Test-Time Adaptation | CVPR 2023 | PDF · Code |
| RNA | Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback | ICCV 2023 | PDF · Code |
| RoTTA | Robust Test-Time Adaptation in Dynamic Scenarios | CVPR 2023 | PDF · Code |
| SANTA | SANTA: Source Anchoring Network and Target Alignment for Continual Test Time Adaptation | TMLR 2023 | PDF · Code |
| SAR | Towards Stable Test-Time Adaptation in Dynamic Wild World | ICLR 2023 (Oral) | PDF · Code |
| SoTTA | SoTTA: Robust Test-Time Adaptation on Noisy Data Streams | NeurIPS 2023 | PDF · Code |
| SwapPrompt | SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models | NeurIPS 2023 | PDF |
| TAST | Test-Time Adaptation via Self-Training with Nearest Neighbor Information | ICLR 2023 | PDF · Code |
| TeCo | Temporal Coherent Test-Time Optimization for Robust Video Classification | ICLR 2023 | PDF |
| TeSLA | TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation | CVPR 2023 | PDF · Code |
| TeST | TeST: Test-time Self-Training under Distribution Shift | WACV 2023 | PDF |
| TIPI | TIPI: Test Time Adaptation with Transformation Invariance | CVPR 2023 | PDF · Code |
| Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization | ICCV 2023 | PDF |
| TSD | Feature Alignment and Uniformity for Test Time Adaptation | CVPR 2023 | PDF · Code |
| TTLSA | Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations | NeurIPS 2023 | PDF · Code |
| TTN | TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation | ICLR 2023 | PDF |
| VDP | Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation | AAAI 2023 (Oral) | PDF |
| ViTTA | Video Test-Time Adaptation for Action Recognition | CVPR 2023 | PDF · Code |
| VPA | VPA: Fully Test-Time Visual Prompt Adaptation | ACM MM 2023 | PDF |
| AdaContrast | Contrastive Test-Time Adaptation | CVPR 2022 | PDF · Code |
| Anti-Adversary | Combating Adversaries with Anti-Adversaries | AAAI 2022 | PDF · Code |
| CFA-ViT | Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment | IJCAI 2022 | PDF · Code |
| Conjugate PL | Test-Time Adaptation via Conjugate Pseudo-labels | NeurIPS 2022 | PDF · Code |
| CoTTA | Continual Test-Time Domain Adaptation | CVPR 2022 | PDF · Code |
| DUA | The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization | CVPR 2022 | PDF · Code |
| EATA | Efficient Test-Time Model Adaptation without Forgetting | ICML 2022 (Spotlight) | PDF · Code |
| Ev-TTA | Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition | CVPR 2022 | PDF · Code |
| GAPGC | GraphTTA: Test Time Adaptation on Graph Neural Networks | arXiv 2022 | PDF |
| GT3 | Test-Time Training for Graph Neural Networks | arXiv 2022 | PDF |
| LAME | Parameter-free Online Test-time Adaptation | CVPR 2022 (Oral) | PDF · Code |
| MEMO | MEMO: Test Time Robustness via Adaptation and Augmentation | NeurIPS 2022 | PDF · Code |
| Meta-DMoE | Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts | NeurIPS 2022 | PDF · Code |
| MT3 | MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption | AISTATS 2022 | PDF · Code |
| NOTE | NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation | NeurIPS 2022 | PDF · Code |
| OST | OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training | NeurIPS 2022 | PDF · Code |
| SADE | Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition | NeurIPS 2022 | PDF · Code |
| Sketch3T | Sketch3T: Test-Time Training for Zero-Shot SBIR | CVPR 2022 | PDF · Code |
| SSGen | Learning to Generalize Across Domains on Single Test Samples | ICLR 2022 | PDF · Code |
| SWR-NSP | Improving Test-Time Adaptation via Shift-Agnostic Weight Regularization and Nearest Source Prototypes | ECCV 2022 | PDF |
| TPT | Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models | NeurIPS 2022 | PDF · Code |
| TTA-Calib (Med) | Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift | MICCAI 2022 | PDF |
| TTAC | Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering | NeurIPS 2022 | PDF · Code |
| TTT-MAE | Test-Time Training with Masked Autoencoders | NeurIPS 2022 | PDF · Code |
| ARM | Adaptive Risk Minimization: Learning to Adapt to Domain Shift | NeurIPS 2021 | PDF · Code |
| BACS | Training on Test Data with Bayesian Adaptation for Covariate Shift | NeurIPS 2021 | PDF |
| Core (alpha-BN) | Test-Time Batch Statistics Calibration for Covariate Shift | arXiv 2021 | PDF |
| ITTP | Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections | CVPR 2021 (Oral) | PDF · Code |
| MixNorm | MixNorm: Test-Time Adaptation Through Online Normalization Estimation | arXiv 2021 | PDF |
| OLS-OGD | Online Adaptation to Label Distribution Shift | NeurIPS 2021 | PDF · Code |
| Robust Self-Learning | If Your Data Distribution Shifts, Use Self-Learning | arXiv 2021 | PDF · Code |
| SLR+IT | Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation | arXiv 2021 | PDF |
| T3A | Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization | NeurIPS 2021 (Spotlight) | PDF · Code |
| Tailoring | Tailoring: Encoding Inductive Biases by Optimizing Unsupervised Objectives at Prediction Time | NeurIPS 2021 | PDF |
| TENT | Tent: Fully Test-Time Adaptation by Entropy Minimization | ICLR 2021 (Spotlight) | PDF · Code |
| TTA-AE | Autoencoder Based Self-Supervised Test-Time Adaptation for Medical Image Analysis | MedIA 2021 | PDF · Code |
| TTA-PR | Test Time Adaptation through Perturbation Robustness | NeurIPS 2021 Workshop | PDF |
| TTE | Enhancing Adversarial Robustness via Test-time Transformation Ensembling | ICCVW 2021 | PDF · Code |
| TTT++ | TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive? | NeurIPS 2021 | PDF · Code |
| BN-Adapt | Improving Robustness against Common Corruptions by Covariate Shift Adaptation | NeurIPS 2020 | PDF · Code |
| PredBN | Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift | arXiv 2020 | PDF |
| SDA-Net | Self Domain Adapted Network | MICCAI 2020 | PDF · Code |
| SHOT | Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation | ICML 2020 | PDF · Code |
| TTT | Test-Time Training with Self-Supervision for Generalization under Distribution Shifts | ICML 2020 | PDF · Code |
| GeOS | Learning to Generalize One Sample at a Time with Self-Supervision | arXiv 2019 | PDF |
| AdaBN | Revisiting Batch Normalization For Practical Domain Adaptation | ICLR 2017 Workshop | PDF |