The Over-Certainty Phenomenon in Modern Test-Time Adaptation Algorithms
Fuente:
arXiv
Saved in:
| Main Authors: | Amin, Fin, Kim, Jung-Eun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
by: Gui, Shurui, et al.
Published: (2024)
by: Gui, Shurui, et al.
Published: (2024)
Test-Time Adaptation with Binary Feedback
by: Lee, Taeckyung, et al.
Published: (2025)
by: Lee, Taeckyung, et al.
Published: (2025)
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
by: Kim, HyunGi, et al.
Published: (2025)
by: Kim, HyunGi, et al.
Published: (2025)
Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line
by: Kim, Eungyeup, et al.
Published: (2023)
by: Kim, Eungyeup, et al.
Published: (2023)
Severing Spurious Correlations with Data Pruning
by: Mulchandani, Varun, et al.
Published: (2025)
by: Mulchandani, Varun, et al.
Published: (2025)
Monitoring Risks in Test-Time Adaptation
by: Schirmer, Mona, et al.
Published: (2025)
by: Schirmer, Mona, et al.
Published: (2025)
Lyapunov-Guided Self-Alignment: Test-Time Adaptation for Offline Safe Reinforcement Learning
by: Han, Seungyub, et al.
Published: (2026)
by: Han, Seungyub, et al.
Published: (2026)
Test-Time Meta-Adaptation with Self-Synthesis
by: Kaya, Zeyneb N., et al.
Published: (2026)
by: Kaya, Zeyneb N., et al.
Published: (2026)
CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift
by: Kim, HyunGi, et al.
Published: (2026)
by: Kim, HyunGi, et al.
Published: (2026)
The Illusion of Certainty: Decoupling Capability and Calibration in On-Policy Distillation
by: Zhang, Jiaxin, et al.
Published: (2026)
by: Zhang, Jiaxin, et al.
Published: (2026)
When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection
by: Kim, Dongmin, et al.
Published: (2023)
by: Kim, Dongmin, et al.
Published: (2023)
Plug-and-Play Transformer Modules for Test-Time Adaptation
by: Chang, Xiangyu, et al.
Published: (2024)
by: Chang, Xiangyu, et al.
Published: (2024)
Beyond Model Adaptation at Test Time: A Survey
by: Xiao, Zehao, et al.
Published: (2024)
by: Xiao, Zehao, et al.
Published: (2024)
BoTTA: Benchmarking on-device Test Time Adaptation
by: Danilowski, Michal, et al.
Published: (2025)
by: Danilowski, Michal, et al.
Published: (2025)
Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting
by: Medeiros, Heitor R., et al.
Published: (2025)
by: Medeiros, Heitor R., et al.
Published: (2025)
Contrastive Residual Energy Test-time Adaptation
by: Han, Yewon, et al.
Published: (2025)
by: Han, Yewon, et al.
Published: (2025)
AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler
by: Kim, Changhun, et al.
Published: (2024)
by: Kim, Changhun, et al.
Published: (2024)
Analytic Continual Test-Time Adaptation for Multi-Modality Corruption
by: Zhang, Yufei, et al.
Published: (2024)
by: Zhang, Yufei, et al.
Published: (2024)
Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation
by: Ambekar, Sameer, et al.
Published: (2025)
by: Ambekar, Sameer, et al.
Published: (2025)
On the Learnability of Test-Time Adaptation: A Recovery Complexity Perspective
by: Zhou, Zhi, et al.
Published: (2026)
by: Zhou, Zhi, et al.
Published: (2026)
Center-Based Relaxed Learning Against Membership Inference Attacks
by: Fang, Xingli, et al.
Published: (2024)
by: Fang, Xingli, et al.
Published: (2024)
Learnability and Privacy Vulnerability are Entangled in a Few Critical Weights
by: Fang, Xingli, et al.
Published: (2026)
by: Fang, Xingli, et al.
Published: (2026)
Explaining How Quantization Disparately Skews a Model
by: Bellam, Abhimanyu, et al.
Published: (2025)
by: Bellam, Abhimanyu, et al.
Published: (2025)
Decoupling Generalizability and Membership Privacy Risks in Neural Networks
by: Fang, Xingli, et al.
Published: (2026)
by: Fang, Xingli, et al.
Published: (2026)
Position: Retire the "Positive Backdoor" Label -- Secret Alignment Requires Strict and Systematic Evaluation
by: Li, Jianwei, et al.
Published: (2026)
by: Li, Jianwei, et al.
Published: (2026)
Purifying Generative LLMs from Backdoors without Prior Knowledge or Clean Reference
by: Li, Jianwei, et al.
Published: (2026)
by: Li, Jianwei, et al.
Published: (2026)
Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation
by: Gong, Peiliang, et al.
Published: (2025)
by: Gong, Peiliang, et al.
Published: (2025)
AdaNODEs: Test Time Adaptation for Time Series Forecasting Using Neural ODEs
by: Dang, Ting, et al.
Published: (2026)
by: Dang, Ting, et al.
Published: (2026)
Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation
by: Tan, Jiayao, et al.
Published: (2024)
by: Tan, Jiayao, et al.
Published: (2024)
Learning to Learn-at-Test-Time: Language Agents with Learnable Adaptation Policies
by: Lou, Zhanzhi, et al.
Published: (2026)
by: Lou, Zhanzhi, et al.
Published: (2026)
POEM: Explore Unexplored Reliable Samples to Enhance Test-Time Adaptation
by: Yi, Chang'an, et al.
Published: (2025)
by: Yi, Chang'an, et al.
Published: (2025)
Strategic Over-Parameterization for Generalizable Low-Rank Adaptation
by: Gao, Jing, et al.
Published: (2026)
by: Gao, Jing, et al.
Published: (2026)
Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction
by: Li, Kanxue, et al.
Published: (2025)
by: Li, Kanxue, et al.
Published: (2025)
GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Jung, Yeonjoon, et al.
Published: (2025)
by: Jung, Yeonjoon, et al.
Published: (2025)
Grokking Explained: A Statistical Phenomenon
by: Carvalho, Breno W., et al.
Published: (2025)
by: Carvalho, Breno W., et al.
Published: (2025)
Why the Counterintuitive Phenomenon of Likelihood Rarely Appears in Tabular Anomaly Detection with Deep Generative Models?
by: Kim, Donghwan, et al.
Published: (2026)
by: Kim, Donghwan, et al.
Published: (2026)
Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection
by: He, Jianing, et al.
Published: (2025)
by: He, Jianing, et al.
Published: (2025)
Federated Nested Learning: Collaborative Training of Self-Referential Memories for Test-Time Adaptation
by: Chen, Hong, et al.
Published: (2026)
by: Chen, Hong, et al.
Published: (2026)
Improving Robustness of AlphaZero Algorithms to Test-Time Environment Changes
by: Tamassia, Isidoro, et al.
Published: (2025)
by: Tamassia, Isidoro, et al.
Published: (2025)
MambaSL: Exploring Single-Layer Mamba for Time Series Classification
by: Jung, Yoo-Min, et al.
Published: (2026)
by: Jung, Yoo-Min, et al.
Published: (2026)
Similar Items
-
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
by: Gui, Shurui, et al.
Published: (2024) -
Test-Time Adaptation with Binary Feedback
by: Lee, Taeckyung, et al.
Published: (2025) -
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
by: Kim, HyunGi, et al.
Published: (2025) -
Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line
by: Kim, Eungyeup, et al.
Published: (2023) -
Severing Spurious Correlations with Data Pruning
by: Mulchandani, Varun, et al.
Published: (2025)