Copertina

RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectively

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lu, Yao, Zhang, Peixin, Wang, Jingyi, Ma, Lei, Yang, Xiaoniu, Xuan, Qi
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Reassessing Layer Pruning in LLMs: New Insights and Methods
di: Lu, Yao, et al.
Pubblicazione: (2024)

Perturbation on Feature Coalition: Towards Interpretable Deep Neural Networks
di: Hu, Xuran, et al.
Pubblicazione: (2024)

Towards Redundancy-Free Sub-networks in Continual Learning
di: Chen, Cheng, et al.
Pubblicazione: (2023)

Adaptive Data Dropout: Towards Self-Regulated Learning in Deep Neural Networks
di: Gahir, Amar, et al.
Pubblicazione: (2026)

Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing
di: Xiao, Yang, et al.
Pubblicazione: (2025)

VALO: A Versatile Anytime Framework for LiDAR-based Object Detection Deep Neural Networks
di: Soyyigit, Ahmet, et al.
Pubblicazione: (2024)

Exploring the Impact of Dataset Bias on Dataset Distillation
di: Lu, Yao, et al.
Pubblicazione: (2024)

Calibrating Deep Neural Network using Euclidean Distance
di: Liang, Wenhao, et al.
Pubblicazione: (2024)

GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection
di: Lu, Yan, et al.
Pubblicazione: (2023)

Towards Robust Neural Networks via Orthogonal Diversity
di: Fang, Kun, et al.
Pubblicazione: (2020)

Dual Precision Deep Neural Network
di: Park, Jae Hyun, et al.
Pubblicazione: (2020)

Revisiting Unknowns: Towards Effective and Efficient Open-Set Active Learning
di: Zong, Chen-Chen, et al.
Pubblicazione: (2026)

Frequency Regularization: Restricting Information Redundancy of Convolutional Neural Networks
di: Zhao, Chenqiu, et al.
Pubblicazione: (2023)

Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks
di: Zhang, Yuyan, et al.
Pubblicazione: (2024)

Bi-level Meta-Policy Control for Dynamic Uncertainty Calibration in Evidential Deep Learning
di: Yang, Zhen, et al.
Pubblicazione: (2025)

DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks for Image Analysis
di: Aghababaeyan, Zohreh, et al.
Pubblicazione: (2024)

Compositional Curvature Bounds for Deep Neural Networks
di: Entesari, Taha, et al.
Pubblicazione: (2024)

An Adaptor for Triggering Semi-Supervised Learning to Out-of-Box Serve Deep Image Clustering
di: Duan, Yue, et al.
Pubblicazione: (2025)

DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations
di: Hu, Wenhao, et al.
Pubblicazione: (2024)

Towards Trustworthy Dataset Distillation
di: Ma, Shijie, et al.
Pubblicazione: (2023)

Deep Learning Meets OBIA: Tasks, Challenges, Strategies, and Perspectives
di: Ma, Lei, et al.
Pubblicazione: (2024)

Scaling Up Quantization-Aware Neural Architecture Search for Efficient Deep Learning on the Edge
di: Lu, Yao, et al.
Pubblicazione: (2024)

SelectMix: Enhancing Label Noise Robustness through Targeted Sample Mixing
di: Liu, Qiuhao, et al.
Pubblicazione: (2025)

A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations
di: Cheng, Hongrong, et al.
Pubblicazione: (2023)

An Explainable Fast Deep Neural Network for Emotion Recognition
di: Di Luzio, Francesco, et al.
Pubblicazione: (2024)

Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection
di: Feifel, Patrick, et al.
Pubblicazione: (2025)

Understanding Multimodal Deep Neural Networks: A Concept Selection View
di: Shang, Chenming, et al.
Pubblicazione: (2024)

Discrete Distribution Networks
di: Yang, Lei
Pubblicazione: (2023)

Deep Kronecker Network
di: Feng, Long, et al.
Pubblicazione: (2022)

RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment
di: Yang, Suorong, et al.
Pubblicazione: (2025)

Mitigating Data Redundancy to Revitalize Transformer-based Long-Term Time Series Forecasting System
di: Li, Mingjie, et al.
Pubblicazione: (2022)

Using Deep Neural Networks to Quantify Parking Dwell Time
di: Ribas, Marcelo Eduardo Marques, et al.
Pubblicazione: (2024)

Are Face Embeddings Compatible Across Deep Neural Network Models?
di: Rubab, Fizza, et al.
Pubblicazione: (2026)

Canonical Correlation Guided Deep Neural Network
di: Chen, Zhiwen, et al.
Pubblicazione: (2024)

MESA: Effective Matching Redundancy Reduction by Semantic Area Segmentation
di: Zhang, Yesheng, et al.
Pubblicazione: (2024)

Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA
di: Fa, Zhan, et al.
Pubblicazione: (2026)

Towards Assessing Deep Learning Test Input Generators
di: Mzoughi, Seif, et al.
Pubblicazione: (2025)

Advancing Melanoma Diagnosis with Self-Supervised Neural Networks: Evaluating the Effectiveness of Different Techniques
di: Vusirikala, Srivishnu, et al.
Pubblicazione: (2024)

Towards Robust Spiking Neural Networks:Mitigating Heterogeneous Training Vulnerability via Dominant Eigencomponent Projection
di: Zhang, Desong, et al.
Pubblicazione: (2025)

Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in the Data Manifold
di: Jin, Yinzhu, et al.
Pubblicazione: (2024)