Deep Residual Autoencoders for Expectation Maximization-inspired Dictionary Learning
Journal ref in IEEE Transactions on Neural Networks and Learning Systems, pp. 1-15, 2020
期刊&会议
IEEE TNNLS
IEEE Transactions on Neural Networks and Learning Systems · 期刊 · Machine Learning
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond
Comments This work is accepted in IEEE Transactions on Neural Networks and Learning Systems
Effective Data-aware Covariance Estimator from Compressed Data
Comments 12 pages, 5 figures
Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2019
Open Set Domain Adaptation: Theoretical Bound and Algorithm
Comments This paper has been accepted by IEEE-TNNLS
Self Organizing Nebulous Growths for Robust and Incremental Data Visualization
Comments in IEEE Transactions on Neural Networks and Learning Systems
A universal framework for learning the elliptical mixture model
Comments This work has been accepted to IEEE Transactions on Neural Networks and Learning Systems with DOI:10.1109/TNNLS.2020.3010198. The abstract link is https://ieeexplore.ieee.org/document/9153118
Adaptive Propagation Graph Convolutional Network
Comments Published in IEEE Transaction on Neural Networks and Learning Systems
Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2020
Online Learning With Adaptive Rebalancing in Nonstationary Environments
Comments Keywords: class imbalance, concept drift, neural networks, nonstationary environments, online learning. in IEEE Transactions on Neural Networks and Learning Systems
A general model for plane-based clustering with loss function
Comments 13 pages, 43 figures
Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2020
Explainable, Stable, and Scalable Graph Convolutional Networks for Learning Graph Representation
Comments This manuscript was submitted to IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) on September 22, 2020, and is being under reviewed. This work was supported by the Ministry of Science and Technology (MOST) of Taiwan (R.O.C.) under Project MOST108-2221-E007-016-MY3. (Corresponding author: Ping-En Lu.)
A hybrid learning method for system identification and optimal control
Comments 15 pages, Accepted for publication in TNNLS
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis
Comments Previously, the original version of this manuscript appeared as arXiv:1902.09947v2, that was submitted as a replacement by a mistake. Now, that article has been replaced to correct the error, and this manuscript is distinct from that article
Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2020
Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks
Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems
IAUnet: Global Context-Aware Feature Learning for Person Re-Identification
Comments 14 pages, 9 figures. Accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation
Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2019
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling
Comments Accepted by IEEE TNNLS
Context-aware learning for generative models
Comments Final version published in IEEE Transactions on Neural Networks and Learning systems
Reconstructing quantum states with quantum reservoir networks
Journal ref IEEE Transactions on Neural Networks and Learning Systems, page 1-8, 2020
Reconstruction Regularized Deep Metric Learning for Multi-label Image Classification
Comments Accepted by IEEE TNNLS
Deep Reinforcement Learning based Automatic Exploration for Navigation in Unknown Environment
Journal ref IEEE Transactions on Neural Networks and Learning Systems. 31(2020) 2064-2076
Radial basis function kernel optimization for Support Vector Machine classifiers
Comments 9 pages, 5 figures, 1 table (main paper), 8 pages, 6 figures, 2 tables (supplementary material). To be submitted to IEEE Transactions on Neural Networks and Learning Systems
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation
Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems
Weakly Supervised Person Re-ID: Differentiable Graphical Learning and A New Benchmark
Comments Accepted by TNNLS 2020
Benchmarking neural networks for quantum computation
Comments Revised substantially, and resubmitted to IEEE Transactions on Neural Networks and Learning Systems
Journal ref IEEE TNNLS vol 31 pp 2522-2531 (2020)
When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition with Limited Data
Comments Accepted to TNNLS, an extended version of a paper published in WACV2019. arXiv admin note: substantial text overlap with arXiv:1809.04185
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Comments 21 pages, submitted to IEEE Transactions on Neural Networks and Learning Systems
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
Comments Accept at IEEE Transactions on Neural Networks and Learning Systems
Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization
Comments accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
A Gradient-Aware Search Algorithm for Constrained Markov Decision Processes
Comments Submitted as a brief paper to the IEEE TNNLS
Reachable Set Estimation for Neural Network Control Systems: A Simulation-Guided Approach
Comments 10 pages, 8 figures. IEEE Transactions on Neural Networks and Learning Systems
