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Continual Test-Time Adaptation36 papers Stable Test-Time Adaptation25 papers

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Test-time adaptation for speech enhancement with an autoregressive speech prior
Sep 3, 2026Sofiene Kammoun, Simon Leglaive, Xavier Alameda-Pineda +1Speech Enhancement Neural Audio Codecs
Explanation Stability of Test-Time Adaptation in Computational Pathology: A Large-Scale Benchmark
Aug 7, 2026R. G. Bahumanya, Harshith V. M., Shreyank N. Gowda +1Computational Pathology Explainability
Cross-device Collaborative Test-time Adaptation with Zeroth-order Optimization and Model Merging
Jul 3, 2026Yu Mitsuzumi, Akisato Kimura, Yasuhiro Fujiwara +1Stable Test-Time Adaptation Continual Test-Time Adaptation
A probabilistic framework for online test-time adaptation
Jun 24, 2026Daniel Corrales, David Ríos InsuaContinual Test-Time Adaptation Distribution Shifts
Continual Test-Time Adaptation via Entropy Sensitivity-Guidance in Strict Online Setting
Aug 30, 2026Chandler Timm C. Doloriel, Yunbei Zhang, Muhammad Salman Siddiqui +4Continual Test-Time Adaptation Concept Erasure
PI-TTA: Physics-Informed Source-Free Test-Time Adaptation for Robust Human Activity Recognition on Mobile Devices
Apr 28, 2026Changyu Li, Lu Wang, Ming Lei +4Human Activity Recognition Continual Test-Time Adaptation
VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization
Jun 1, 2026Junhao Cheng, Liang Hou, Tianxiong Zhong +4Visual Reasoning Teacher
Skills on the Fly: Test-Time Adaptive Skill Synthesis for LLM Agents
May 16, 2026Jingxing Wang, Chenyu Zhou, Zhihui Fu +4Task Synthesis Automated Synthesis Techniques
Local Margin Restoration for Test-Time Adaptation of Vision-Language Models
Aug 3, 2026Yan Huang, Guowei Wang, Xu Wang +2Vision-Language Model Adaptation Zero-Shot Inference
Reward-Guided Semantic Evolution for Test-time Adaptive Object Detection
May 6, 2026Lihua Zhou, Mao Ye, Xiatian Zhu +7Open-Vocabulary Object Detection Object Detection
FORGE: Forward-Only Test-Time Adaptation for Integer-Only Vision Models on Microcontrollers
Sep 1, 2026Muhammad Rehan, Haider Ali, Muhammad Ali Munir +1Cortex Vision Foundation Models
Hierarchical Consistency Learning for Test-time Adaptation in Camouflage Perception
May 25, 2026Mingfeng Zha, Tianyu Li, Guoqing Wang +5Camouflaged Object Detection Camouflage
DESA-TTA: Dynamic EMA and Source Anchoring for Test-Time Adaptation
Sep 1, 2026Atif Belal, Lilian Hollard, Marco Pedersoli +1Vision-Language Model Adaptation Open-Vocabulary Object Detection
Temporal Structure Matters for Efficient Test-Time Adaptation in Wearable Human Activity Recognition
May 6, 2026Zishu Zhou, Zaipeng Xie, Xuanyao JieHuman Activity Recognition Temporal Deep Learning Framework
Leveraging Pathology Co-occurrence for Test-Time Adaptation in Chest X-Ray Diagnosis
Jul 4, 2026Woojin Jeong, Yujin Choi, Dongbin Kim +2Medical Image Classification Chest X-Ray
GridProbe: Posterior-Probing for Adaptive Test-Time Compute in Long-Video VLMs
May 11, 2026Mohamed Eltahir, Lama Ayash, Ali Habibullah +2Video Understanding Shard
VISTA: Variance-Gated Inter-Sequence Test-Time Adaptation for Multi-Sequence MRI Segmentation
May 17, 2026Zhipeng Deng, Jiale Zhou, Wenhan Jiang +4Magnetic Resonance Imaging Anatomy
VLOD-TTA: Test-Time Adaptation of Vision-Language Object Detectors
Oct 1, 2025Atif Belal, Heitor R. Medeiros, Marco Pedersoli +1Vision-Language Model Adaptation Open-Vocabulary Object Detection
Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments
Jun 5, 2026Deepak Kanneganti, Sajib Mistry, Sheik Mohammad Mostakim Fattah +1Internet Of Thing Machine Learning
Test-Time Adaptation in Optical Coherence Tomography Using Trajectory-Aligned Time-Independent Flow
Jun 17, 2026Veit Hucke, Thomas Pinetz, Gregor Reiter +2Optical Coherence Tomography Stable Test-Time Adaptation
Lyapunov-Guided Self-Alignment: Test-Time Adaptation for Offline Safe Reinforcement Learning
Apr 29, 2026Seungyub Han, Hyungjin Kim, Jungwoo LeeOffline Reinforcement Learning Hierarchical Reinforcement Learning
VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model
May 2, 2026Wenhao Li, Xiu Su, Yichao Cao +5Vision-Language-Action Models Critic-Free Reinforcement Learning
Test-time Adaptation of Pelvic Bone Segmentation Models via Dynamic Reliability-Guided
Aug 1, 2026Ling Ren, Chao Deng, Ziming Wang +2Medical Image Segmentation Cross-Domain Shifts
VoiceTTA: Enhancing Zero-Shot Text-to-Speech via Reinforcement Learning-Based Test-Time Adaptation
Jun 25, 2026Tianxin Xie, Chenxing Li, Dong Yu +1Zero-Shot Text-To-Speech Zero-Shot Inference
Multi-Label Test-Time Adaptation with Bayesian Conditional Priors
Jun 11, 2026Qiru Li, Ao Zhou, Zhiwei Jiang +4Vision-Language Model Adaptation Multi-Label Classification
ProtoTTA: Prototype-Guided Test-Time Adaptation
Apr 16, 2026Mohammad Mahdi Abootorabi, Parvin Mousavi, Purang Abolmaesumi +1Learnable Prototypes Training-Free Inference Framework
Test-Time Adaptation with Online Personalized Energy-Based Cache for Fine-Grained Video Expression Recognition
Aug 6, 2026Masoumeh Sharafi, Muhammad Osama Zeeshan, Soufiane Belharbi +3Facial Expression Recognition Cache
Federated Nested Learning: Collaborative Training of Self-Referential Memories for Test-Time Adaptation
May 8, 2026Hong Chen, Pengcheng Wu, Yuanguo Lin +4Federated Learning Cross-Entropy Losses
Self-Geometry: GT-Free and Plug-and-Play Test-Time Adaptation for Geometrically Consistent 3D Vision Foundation Models
Aug 11, 2026Seokhyun Youn, Dahyeon Kye, Sung-Ho Bae +1Feed-Forward Visual Geometry Estimation Vision Foundation Models
When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models?
Jul 17, 2026Ailar Mahdizadeh, Puria Azadi Moghadam, Xiangteng He +1Medical Vision-Language Models Computed Tomography Dataset

Sep 3, 2026 · cs.SDJ/K move · Enter open · S save

Test-time adaptation for speech enhancement with an autoregressive speech prior

Sofiene Kammoun, Simon Leglaive, Xavier Alameda-Pineda, Timo Gerkmann

CentraleSup´elec, IETR (UMR CNRS 6164), France · Inria at Univ. Grenoble Alpes, CNRS, LJK, France · Signal Processing Group, University of Hamburg, Germany

Test-time adaptation (TTA) offers a promising direction for improving speech enhancement models under mismatched acoustic conditions, without requiring access to labeled target data. In this work, we propose a single-utterance TTA method that regularizes a pretrained speech enhancement model using an autoregressive prior trained on clean speech latent representations extracted from a neural audio codec. Adaptation is performed by minimizing the Kullback-Leibler divergence between the enhanced speech distribution and the clean speech prior. Experiments across multiple noisy speech datasets show consistent improvements in speech quality, particularly under training-testing noise mismatch conditions. Code and audio examples are available online.

Speech Enhancement Neural Audio Codecs Latent Representation

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