Pruning-based Data Selection and Network Fusion for Efficient Deep Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Kousar, Humaira, Bhatti, Hasnain Irshad, Moon, Jaekyun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PruneFuse: Efficient Data Selection via Weight Pruning and Network Fusion
by: Kousar, Humaira, et al.
Published: (2026)
by: Kousar, Humaira, et al.
Published: (2026)
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
by: Choi, Wonjeong, et al.
Published: (2024)
by: Choi, Wonjeong, et al.
Published: (2024)
Online Training and Pruning of Deep Reinforcement Learning Networks
by: Guenter, Valentin Frank Ingmar, et al.
Published: (2025)
by: Guenter, Valentin Frank Ingmar, et al.
Published: (2025)
Max-Affine Spline Insights Into Deep Network Pruning
by: You, Haoran, et al.
Published: (2021)
by: You, Haoran, et al.
Published: (2021)
Deep Metric Loss for Multimodal Learning
by: Moon, Sehwan, et al.
Published: (2023)
by: Moon, Sehwan, et al.
Published: (2023)
The Impact of Quantization and Pruning on Deep Reinforcement Learning Models
by: Lu, Heng, et al.
Published: (2024)
by: Lu, Heng, et al.
Published: (2024)
Resource-Aware Neural Network Pruning Using Graph-based Reinforcement Learning
by: Balemans, Dieter, et al.
Published: (2025)
by: Balemans, Dieter, et al.
Published: (2025)
Synaptic Pruning: A Biological Inspiration for Deep Learning Regularization
by: Vos, Gideon, et al.
Published: (2025)
by: Vos, Gideon, et al.
Published: (2025)
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
by: Jia, Yongzhe, et al.
Published: (2024)
by: Jia, Yongzhe, et al.
Published: (2024)
Evaluation and Implementation of Machine Learning Algorithms to Predict Early Detection of Kidney and Heart Disease in Diabetic Patients
by: Hasnain, Syed Ibad
Published: (2025)
by: Hasnain, Syed Ibad
Published: (2025)
Simulation Priors for Data-Efficient Deep Learning
by: Treven, Lenart, et al.
Published: (2025)
by: Treven, Lenart, et al.
Published: (2025)
ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks
by: Afane, Mohamed, et al.
Published: (2025)
by: Afane, Mohamed, et al.
Published: (2025)
Exploiting Adaptive Channel Pruning for Communication-Efficient Split Learning
by: Tan, Jialei, et al.
Published: (2026)
by: Tan, Jialei, et al.
Published: (2026)
Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving
by: Su, Wensheng, et al.
Published: (2024)
by: Su, Wensheng, et al.
Published: (2024)
HEAPr: Hessian-based Efficient Atomic Expert Pruning in Output Space
by: Li, Ke, et al.
Published: (2025)
by: Li, Ke, et al.
Published: (2025)
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook
by: Zou, Xingchen, et al.
Published: (2024)
by: Zou, Xingchen, et al.
Published: (2024)
SLOPE: Search with Learned Optimal Pruning-based Expansion
by: Bokan, Davor, et al.
Published: (2024)
by: Bokan, Davor, et al.
Published: (2024)
Layer Embedding Deep Fusion Graph Neural Network
by: Xu, Taihua, et al.
Published: (2026)
by: Xu, Taihua, et al.
Published: (2026)
Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning
by: Vincent, Théo, et al.
Published: (2024)
by: Vincent, Théo, et al.
Published: (2024)
PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs
by: Yu, Tongzhou, et al.
Published: (2025)
by: Yu, Tongzhou, et al.
Published: (2025)
Hierarchical Attention-based Graph Neural Network with Relevance-driven Pruning
by: Kum, Seungwoo
Published: (2026)
by: Kum, Seungwoo
Published: (2026)
Numerical Pruning for Efficient Autoregressive Models
by: Shen, Xuan, et al.
Published: (2024)
by: Shen, Xuan, et al.
Published: (2024)
Centrality-Based Pruning for Efficient Echo State Networks
by: Laudari, Sudip
Published: (2026)
by: Laudari, Sudip
Published: (2026)
TopoPrune: Robust Data Pruning via Unified Latent Space Topology
by: Roy, Arjun, et al.
Published: (2026)
by: Roy, Arjun, et al.
Published: (2026)
FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning
by: Herzog, Alexander, et al.
Published: (2024)
by: Herzog, Alexander, et al.
Published: (2024)
Towards Adaptive Deep Learning: Model Elasticity via Prune-and-Grow CNN Architectures
by: Mangal, Pooja, et al.
Published: (2025)
by: Mangal, Pooja, et al.
Published: (2025)
A Generic Layer Pruning Method for Signal Modulation Recognition Deep Learning Models
by: Lu, Yao, et al.
Published: (2024)
by: Lu, Yao, et al.
Published: (2024)
Measuring Sample Importance in Data Pruning for Language Models based on Information Entropy
by: Kim, Minsang, et al.
Published: (2024)
by: Kim, Minsang, et al.
Published: (2024)
Severing Spurious Correlations with Data Pruning
by: Mulchandani, Varun, et al.
Published: (2025)
by: Mulchandani, Varun, et al.
Published: (2025)
EMP: Enhance Memory in Data Pruning
by: Xiao, Jinying, et al.
Published: (2024)
by: Xiao, Jinying, et al.
Published: (2024)
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning
by: Zhao, Kaiyan, et al.
Published: (2024)
by: Zhao, Kaiyan, et al.
Published: (2024)
Orthogonal Soft Pruning for Efficient Class Unlearning
by: Gong, Qinghui, et al.
Published: (2025)
by: Gong, Qinghui, et al.
Published: (2025)
Deep Neural Network Benchmarks for Selective Classification
by: Pugnana, Andrea, et al.
Published: (2024)
by: Pugnana, Andrea, et al.
Published: (2024)
IPPRO: Importance-based Pruning with PRojective Offset for Magnitude-indifferent Structural Pruning
by: Jung, Jaeheun, et al.
Published: (2025)
by: Jung, Jaeheun, et al.
Published: (2025)
Multi-Stage Knowledge-Distilled VGAE and GAT for Robust Controller-Area-Network Intrusion Detection
by: Frenken, Robert, et al.
Published: (2025)
by: Frenken, Robert, et al.
Published: (2025)
PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression
by: Wu, Min, et al.
Published: (2024)
by: Wu, Min, et al.
Published: (2024)
Learning-Zone Energy: Online Data Selection for Efficient RL Post-Training
by: Cui, Peng, et al.
Published: (2026)
by: Cui, Peng, et al.
Published: (2026)
StreamFP: Learnable Fingerprint-guided Data Selection for Efficient Stream Learning
by: Shi, Tongjun, et al.
Published: (2024)
by: Shi, Tongjun, et al.
Published: (2024)
Efficient Learning of Fuzzy Logic Systems for Large-Scale Data Using Deep Learning
by: Koklu, Ata, et al.
Published: (2024)
by: Koklu, Ata, et al.
Published: (2024)
Deep Learning with Information Fusion and Model Interpretation for Health Monitoring of Fetus based on Long-term Prenatal Electronic Fetal Heart Rate Monitoring Data
by: Lin, Zenghui, et al.
Published: (2024)
by: Lin, Zenghui, et al.
Published: (2024)
Similar Items
-
PruneFuse: Efficient Data Selection via Weight Pruning and Network Fusion
by: Kousar, Humaira, et al.
Published: (2026) -
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
by: Choi, Wonjeong, et al.
Published: (2024) -
Online Training and Pruning of Deep Reinforcement Learning Networks
by: Guenter, Valentin Frank Ingmar, et al.
Published: (2025) -
Max-Affine Spline Insights Into Deep Network Pruning
by: You, Haoran, et al.
Published: (2021) -
Deep Metric Loss for Multimodal Learning
by: Moon, Sehwan, et al.
Published: (2023)