Balancing Stability and Plasticity in Sequentially Trained Early-Exiting Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Zniber, Alaa, Karrakchou, Ouassim, Ghogho, Mounir |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Early Exiting Predictive Coding Neural Networks for Edge AI
by: Zniber, Alaa, et al.
Published: (2023)
by: Zniber, Alaa, et al.
Published: (2023)
Hardware-Algorithm Co-Optimization of Early-Exit Neural Networks for Multi-Core Edge Accelerators
by: Zniber, Alaa, et al.
Published: (2025)
by: Zniber, Alaa, et al.
Published: (2025)
Collaborative P4-SDN DDoS Detection and Mitigation with Early-Exit Neural Networks
by: Karrakchou, Ouassim, et al.
Published: (2025)
by: Karrakchou, Ouassim, et al.
Published: (2025)
Dynamic nsNet2: Efficient Deep Noise Suppression with Early Exiting
by: Miccini, Riccardo, et al.
Published: (2023)
by: Miccini, Riccardo, et al.
Published: (2023)
Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism
by: Fraihi, Nouhaila, et al.
Published: (2025)
by: Fraihi, Nouhaila, et al.
Published: (2025)
Redefining cystoscopy with ai: bladder cancer diagnosis using an efficient hybrid cnn-transformer model
by: Amaouche, Meryem, et al.
Published: (2024)
by: Amaouche, Meryem, et al.
Published: (2024)
Confidence-gated training for efficient early-exit neural networks
by: Mokssit, Saad, et al.
Published: (2025)
by: Mokssit, Saad, et al.
Published: (2025)
Fast yet Safe: Early-Exiting with Risk Control
by: Jazbec, Metod, et al.
Published: (2024)
by: Jazbec, Metod, et al.
Published: (2024)
Multimodal Adaptive Inference for Document Image Classification with Anytime Early Exiting
by: Hamed, Omar, et al.
Published: (2024)
by: Hamed, Omar, et al.
Published: (2024)
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning
by: Liu, Wenzhuo, et al.
Published: (2024)
by: Liu, Wenzhuo, et al.
Published: (2024)
Hierarchical Training of Deep Neural Networks Using Early Exiting
by: Sepehri, Yamin, et al.
Published: (2023)
by: Sepehri, Yamin, et al.
Published: (2023)
Flashbacks to Harmonize Stability and Plasticity in Continual Learning
by: Mahmoodi, Leila, et al.
Published: (2025)
by: Mahmoodi, Leila, et al.
Published: (2025)
Early Detection of Coffee Leaf Rust Through Convolutional Neural Networks Trained on Low-Resolution Images
by: Cabrera, Angelly, et al.
Published: (2024)
by: Cabrera, Angelly, et al.
Published: (2024)
A Simple Baseline for Stable and Plastic Neural Networks
by: Künzel, Étienne, et al.
Published: (2025)
by: Künzel, Étienne, et al.
Published: (2025)
Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective
by: Lu, Aojun, et al.
Published: (2025)
by: Lu, Aojun, et al.
Published: (2025)
Tuning the Frequencies: Robust Training for Sinusoidal Neural Networks
by: Novello, Tiago, et al.
Published: (2024)
by: Novello, Tiago, et al.
Published: (2024)
PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization
by: Lahiany, Assaf, et al.
Published: (2025)
by: Lahiany, Assaf, et al.
Published: (2025)
Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning
by: Duan, Yue, et al.
Published: (2025)
by: Duan, Yue, et al.
Published: (2025)
CycleBNN: Cyclic Precision Training in Binary Neural Networks
by: Fontana, Federico, et al.
Published: (2024)
by: Fontana, Federico, et al.
Published: (2024)
Information Geometry of Evolution of Neural Network Parameters While Training
by: Thiruthummal, Abhiram Anand, et al.
Published: (2024)
by: Thiruthummal, Abhiram Anand, et al.
Published: (2024)
Iterative Misclassification Error Training (IMET): An Optimized Neural Network Training Technique for Image Classification
by: Singh, Ruhaan, et al.
Published: (2025)
by: Singh, Ruhaan, et al.
Published: (2025)
Early Diagnosis of Acute Lymphoblastic Leukemia Using YOLOv8 and YOLOv11 Deep Learning Models
by: Awad, Alaa, et al.
Published: (2024)
by: Awad, Alaa, et al.
Published: (2024)
Sharpness-Aware Minimization with Adaptive Regularization for Training Deep Neural Networks
by: Zou, Jinping, et al.
Published: (2024)
by: Zou, Jinping, et al.
Published: (2024)
Balancing Accuracy and Training Time in Federated Learning for Violence Detection in Surveillance Videos: A Study of Neural Network Architectures
by: Quentin, Pajon, et al.
Published: (2023)
by: Quentin, Pajon, et al.
Published: (2023)
Enhancing Deep Neural Network Training Efficiency and Performance through Linear Prediction
by: Ying, Hejie, et al.
Published: (2023)
by: Ying, Hejie, et al.
Published: (2023)
Gaussian Smoothing in Saliency Maps: The Stability-Fidelity Trade-Off in Neural Network Interpretability
by: Ye, Zhuorui, et al.
Published: (2024)
by: Ye, Zhuorui, et al.
Published: (2024)
Efficient Neural Network Training via Subset Pretraining
by: Spörer, Jan, et al.
Published: (2024)
by: Spörer, Jan, et al.
Published: (2024)
General Cyclical Training of Neural Networks
by: Smith, Leslie N.
Published: (2022)
by: Smith, Leslie N.
Published: (2022)
Revisiting Neighborhood Aggregation in Graph Neural Networks for Node Classification using Statistical Signal Processing
by: Ghogho, Mounir
Published: (2024)
by: Ghogho, Mounir
Published: (2024)
Preconditioners for the Stochastic Training of Neural Fields
by: Chng, Shin-Fang, et al.
Published: (2024)
by: Chng, Shin-Fang, et al.
Published: (2024)
Towards Robust Spiking Neural Networks:Mitigating Heterogeneous Training Vulnerability via Dominant Eigencomponent Projection
by: Zhang, Desong, et al.
Published: (2025)
by: Zhang, Desong, et al.
Published: (2025)
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias
by: Yang, Yu, et al.
Published: (2023)
by: Yang, Yu, et al.
Published: (2023)
Training-Free Restoration of Pruned Neural Networks
by: Lee, Keonho, et al.
Published: (2025)
by: Lee, Keonho, et al.
Published: (2025)
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
by: Su, Yongyi, et al.
Published: (2023)
by: Su, Yongyi, et al.
Published: (2023)
Stability-Informed Initialization of Neural Ordinary Differential Equations
by: Westny, Theodor, et al.
Published: (2023)
by: Westny, Theodor, et al.
Published: (2023)
Stabilizing Consistency Training: A Flow Map Analysis and Self-Distillation
by: Kim, Youngjoong, et al.
Published: (2026)
by: Kim, Youngjoong, et al.
Published: (2026)
How to Train Your Metamorphic Deep Neural Network
by: Sommariva, Thomas, et al.
Published: (2025)
by: Sommariva, Thomas, et al.
Published: (2025)
Neural Network Diffusion
by: Wang, Kai, et al.
Published: (2024)
by: Wang, Kai, et al.
Published: (2024)
Supersampling Stable Diffusion and Beyond: A Seamless, Training-Free Approach for Scaling Neural Networks Using Common Interpolation Methods
by: Zishan, Md Abu Obaida, et al.
Published: (2026)
by: Zishan, Md Abu Obaida, et al.
Published: (2026)
Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility
by: Thu, Ye Kyaw, et al.
Published: (2026)
by: Thu, Ye Kyaw, et al.
Published: (2026)
Similar Items
-
Early Exiting Predictive Coding Neural Networks for Edge AI
by: Zniber, Alaa, et al.
Published: (2023) -
Hardware-Algorithm Co-Optimization of Early-Exit Neural Networks for Multi-Core Edge Accelerators
by: Zniber, Alaa, et al.
Published: (2025) -
Collaborative P4-SDN DDoS Detection and Mitigation with Early-Exit Neural Networks
by: Karrakchou, Ouassim, et al.
Published: (2025) -
Dynamic nsNet2: Efficient Deep Noise Suppression with Early Exiting
by: Miccini, Riccardo, et al.
Published: (2023) -
Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism
by: Fraihi, Nouhaila, et al.
Published: (2025)