| 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 |
| HoCoTTA |
Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-Time Adaptation Framework |
ECCV 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 |
| DiffPure |
Diffusion Models for Adversarial Purification |
ICML 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 |
