Cover Image

TRUST: Test-time Resource Utilization for Superior Trustworthiness

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Harikumar, Haripriya, Rana, Santu
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Composite Concept Extraction through Backdooring
by: Ghosh, Banibrata, et al.
Published: (2024)

Exploring the Efficacy of Meta-Learning: Unveiling Superior Data Diversity Utilization of MAML Over Pre-training
by: Selva, Kavita, et al.
Published: (2025)

Beyond Perfect Scores: Proof-by-Contradiction for Trustworthy Machine Learning
by: Wadduwage, Dushan N., et al.
Published: (2026)

Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models
by: Wang, Hengyi, et al.
Published: (2024)

Improving Object Detection Performance through YOLOv8: A Comprehensive Training and Evaluation Study
by: Poureskandar, Rana, et al.
Published: (2025)

Visual Test-time Scaling for GUI Agent Grounding
by: Luo, Tiange, et al.
Published: (2025)

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
by: Lekadir, Karim, et al.
Published: (2021)

ETA: Energy-based Test-time Adaptation for Depth Completion
by: Chung, Younjoon, et al.
Published: (2025)

UniT: Unified Multimodal Chain-of-Thought Test-time Scaling
by: Chen, Leon Liangyu, et al.
Published: (2026)

FIESTA: Fisher Information-based Efficient Selective Test-time Adaptation
by: Honarmand, Mohammadmahdi, et al.
Published: (2025)

How Do Training Methods Influence the Utilization of Vision Models?
by: Gavrikov, Paul, et al.
Published: (2024)

Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models
by: Zhang, Yabin, et al.
Published: (2026)

A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
by: Saralajew, Sascha, et al.
Published: (2024)

Investigation of Customized Medical Decision Algorithms Utilizing Graph Neural Networks
by: Yan, Yafeng, et al.
Published: (2024)

Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization
by: Dong, Hao, et al.
Published: (2025)

IBiT: Utilizing Inductive Biases to Create a More Data Efficient Attention Mechanism
by: Giri, Adithya
Published: (2025)

MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models
by: Zhang, Yichi, et al.
Published: (2024)

AgentDrug: Utilizing Large Language Models in An Agentic Workflow for Zero-Shot Molecular Editing
by: Le, Khiem, et al.
Published: (2024)

Drone Detection using Deep Neural Networks Trained on Pure Synthetic Data
by: Wisniewski, Mariusz, et al.
Published: (2024)

Optimally Deep Networks -- Adapting Model Depth to Datasets for Superior Efficiency
by: Tareen, Shaharyar Ahmed Khan, et al.
Published: (2025)

Continual Error Correction on Low-Resource Devices
by: Paramonov, Kirill, et al.
Published: (2025)

Learning to Stop Overthinking at Test Time
by: Bao, Hieu Tran, et al.
Published: (2025)

Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation
by: Wang, Zixin, et al.
Published: (2024)

REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning
by: Jeon, Sungho, et al.
Published: (2024)

Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation
by: Wang, Fan, et al.
Published: (2024)

Test-Time Discovery via Hashing Memory
by: Lyu, Fan, et al.
Published: (2025)

AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings
by: Ye, Yilin, et al.
Published: (2025)

A Layer Selection Approach to Test Time Adaptation
by: Sahoo, Sabyasachi, et al.
Published: (2024)

Locally Testing Model Detections for Semantic Global Concepts
by: Motzkus, Franz, et al.
Published: (2024)

Temporal Test-Time Adaptation with State-Space Models
by: Schirmer, Mona, et al.
Published: (2024)

Reinforcing VLMs to Use Tools for Detailed Visual Reasoning Under Resource Constraints
by: Kumar, Sunil, et al.
Published: (2025)

Developing a Resource-Constraint EdgeAI model for Surface Defect Detection
by: Mih, Atah Nuh, et al.
Published: (2023)

Quantized Machine Learning Models for Medical Imaging in Low-Resource Healthcare Settings
by: Kanneti, Sumanth Meenan, et al.
Published: (2026)

Transformer-Based Contrastive Meta-Learning For Low-Resource Generalizable Activity Recognition
by: Wang, Junyao, et al.
Published: (2024)

WildFit: Autonomous In-situ Model Adaptation for Resource-Constrained IoT Systems
by: Rastikerdar, Mohammad Mehdi, et al.
Published: (2024)

NavTrust: Benchmarking Trustworthiness for Embodied Navigation
by: Jiang, Huaide, et al.
Published: (2026)

Effortless Active Labeling for Long-Term Test-Time Adaptation
by: Wang, Guowei, et al.
Published: (2025)

Annotation-Efficient Active Test-Time Adaptation with Conformal Prediction
by: Shi, Tingyu, et al.
Published: (2025)

Evaluation of Test-Time Adaptation Under Computational Time Constraints
by: Alfarra, Motasem, et al.
Published: (2023)

Test-Time Training with KV Binding Is Secretly Linear Attention
by: Liu, Junchen, et al.
Published: (2026)