Optimal Uncertainty-guided Neural Network Training
Fuente:
arXiv
Saved in:
| Main Authors: | Kabir, H M Dipu, Khosravi, Abbas, Kavousi-Fard, Abdollah, Nahavandi, Saeid, Srinivasan, Dipti |
|---|---|
| Format: | Preprint |
| Published: |
2019
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SpinalNet: Deep Neural Network with Gradual Input
by: Kabir, H M Dipu, et al.
Published: (2020)
by: Kabir, H M Dipu, et al.
Published: (2020)
Uncertainty Aware Neural Network from Similarity and Sensitivity
by: Kabir, H M Dipu, et al.
Published: (2023)
by: Kabir, H M Dipu, et al.
Published: (2023)
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges
by: Zare, Maryam, et al.
Published: (2023)
by: Zare, Maryam, et al.
Published: (2023)
Comparison of gait phase detection using traditional machine learning and deep learning techniques
by: Nazari, Farhad, et al.
Published: (2024)
by: Nazari, Farhad, et al.
Published: (2024)
Reduction of Class Activation Uncertainty with Background Information
by: Kabir, H M Dipu
Published: (2023)
by: Kabir, H M Dipu
Published: (2023)
Secure Hierarchical Federated Learning in Vehicular Networks Using Dynamic Client Selection and Anomaly Detection
by: HaghighiFard, M. Saeid, et al.
Published: (2024)
by: HaghighiFard, M. Saeid, et al.
Published: (2024)
UCTECG-Net: Uncertainty-aware Convolution Transformer ECG Network for Arrhythmia Detection
by: Asgharnezhad, Hamzeh, et al.
Published: (2026)
by: Asgharnezhad, Hamzeh, et al.
Published: (2026)
Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks
by: HaghighiFard, M. Saeid, et al.
Published: (2025)
by: HaghighiFard, M. Saeid, et al.
Published: (2025)
A Review of Machine Learning-based Security in Cloud Computing
by: Babaei, Aptin, et al.
Published: (2023)
by: Babaei, Aptin, et al.
Published: (2023)
A Training Framework for Optimal and Stable Training of Polynomial Neural Networks
by: Hossain, Forsad Al, et al.
Published: (2025)
by: Hossain, Forsad Al, et al.
Published: (2025)
Energy-guided Entropic Neural Optimal Transport
by: Mokrov, Petr, et al.
Published: (2023)
by: Mokrov, Petr, et al.
Published: (2023)
Hierarchical Federated Learning in Multi-hop Cluster-Based VANETs
by: HaghighiFard, M. Saeid, et al.
Published: (2024)
by: HaghighiFard, M. Saeid, et al.
Published: (2024)
Disentangled Interleaving Variational Encoding
by: Wong, Noelle Y. L., et al.
Published: (2025)
by: Wong, Noelle Y. L., et al.
Published: (2025)
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks
by: He, Yuntian, et al.
Published: (2024)
by: He, Yuntian, et al.
Published: (2024)
Complexity-Aware Training of Deep Neural Networks for Optimal Structure Discovery
by: Guenter, Valentin Frank Ingmar, et al.
Published: (2024)
by: Guenter, Valentin Frank Ingmar, et al.
Published: (2024)
Conformal Selective Acting: Anytime-Valid Risk Control for RLVR-Trained LLMs
by: Khosravi, Hamed, et al.
Published: (2026)
by: Khosravi, Hamed, et al.
Published: (2026)
Machine and Deep Learning for Credit Scoring: A compliant approach
by: Rida, Abdollah
Published: (2024)
by: Rida, Abdollah
Published: (2024)
Exploring the Relationships Between Physiological Signals During Automated Fatigue Detection
by: Kakhi, Kourosh, et al.
Published: (2025)
by: Kakhi, Kourosh, et al.
Published: (2025)
Schrodinger Neural Network and Uncertainty Quantification: Quantum Machine
by: Hammad, M. M.
Published: (2025)
by: Hammad, M. M.
Published: (2025)
Robust Optimization Approach and Learning Based Hide-and-Seek Game for Resilient Network Design
by: Khosravi, Mohammad, et al.
Published: (2026)
by: Khosravi, Mohammad, et al.
Published: (2026)
Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting
by: Ghaffari, Amirhossein, et al.
Published: (2026)
by: Ghaffari, Amirhossein, et al.
Published: (2026)
Quantifying Out-of-Training Uncertainty of Neural-Network based Turbulence Closures
by: Grogan, Cody, et al.
Published: (2025)
by: Grogan, Cody, et al.
Published: (2025)
TunnElQNN: A Hybrid Quantum-classical Neural Network for Efficient Learning
by: Abbas, A. H.
Published: (2025)
by: Abbas, A. H.
Published: (2025)
Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks
by: Qiu, Shikai, et al.
Published: (2025)
by: Qiu, Shikai, et al.
Published: (2025)
Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks
by: Abdi, Masoud, et al.
Published: (2016)
by: Abdi, Masoud, et al.
Published: (2016)
Adaptive Conformal Prediction via Bayesian Uncertainty Weighting for Hierarchical Healthcare Data
by: Shahbazi, Marzieh Amiri, et al.
Published: (2026)
by: Shahbazi, Marzieh Amiri, et al.
Published: (2026)
An Augmented Surprise-guided Sequential Learning Framework for Predicting the Melt Pool Geometry
by: Raihan, Ahmed Shoyeb, et al.
Published: (2024)
by: Raihan, Ahmed Shoyeb, et al.
Published: (2024)
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks
by: Das, Siddhartha Shankar, et al.
Published: (2024)
by: Das, Siddhartha Shankar, et al.
Published: (2024)
G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks
by: Aghasi, Alireza, et al.
Published: (2025)
by: Aghasi, Alireza, et al.
Published: (2025)
Enhancing Robustness of Graph Neural Networks through p-Laplacian
by: Sirohi, Anuj Kumar, et al.
Published: (2025)
by: Sirohi, Anuj Kumar, et al.
Published: (2025)
Enhancing Robustness of Graph Neural Networks through p-Laplacian
by: Sirohi, Anuj Kumar, et al.
Published: (2024)
by: Sirohi, Anuj Kumar, et al.
Published: (2024)
Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection
by: Singhal, Rishi, et al.
Published: (2024)
by: Singhal, Rishi, et al.
Published: (2024)
Can we ease the Injectivity Bottleneck on Lorentzian Manifolds for Graph Neural Networks?
by: Srinivasan, Srinitish, et al.
Published: (2025)
by: Srinivasan, Srinitish, et al.
Published: (2025)
Training Neural Networks with Optimal Double-Bayesian Learning
by: Bui, Vy, et al.
Published: (2026)
by: Bui, Vy, et al.
Published: (2026)
Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model
by: Khan, Mehshan Ahmed, et al.
Published: (2024)
by: Khan, Mehshan Ahmed, et al.
Published: (2024)
Uncertainty in Graph Neural Networks: A Survey
by: Wang, Fangxin, et al.
Published: (2024)
by: Wang, Fangxin, et al.
Published: (2024)
An Uncertainty Principle for Linear Recurrent Neural Networks
by: François, Alexandre, et al.
Published: (2025)
by: François, Alexandre, et al.
Published: (2025)
Evidential Uncertainty Probes for Graph Neural Networks
by: Yu, Linlin, et al.
Published: (2025)
by: Yu, Linlin, et al.
Published: (2025)
Optimal Conformal Prediction under Epistemic Uncertainty
by: Javanmardi, Alireza, et al.
Published: (2025)
by: Javanmardi, Alireza, et al.
Published: (2025)
Scaling Equilibrium Propagation to Deeper Neural Network Architectures
by: Elayedam, Sankar Vinayak, et al.
Published: (2025)
by: Elayedam, Sankar Vinayak, et al.
Published: (2025)
Similar Items
-
SpinalNet: Deep Neural Network with Gradual Input
by: Kabir, H M Dipu, et al.
Published: (2020) -
Uncertainty Aware Neural Network from Similarity and Sensitivity
by: Kabir, H M Dipu, et al.
Published: (2023) -
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges
by: Zare, Maryam, et al.
Published: (2023) -
Comparison of gait phase detection using traditional machine learning and deep learning techniques
by: Nazari, Farhad, et al.
Published: (2024) -
Reduction of Class Activation Uncertainty with Background Information
by: Kabir, H M Dipu
Published: (2023)