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Neural Networks
Title
Publication Date
Language
Citations
Observations on characterization of training errors in supervised learning using gradient-based rules
1995/01/01
English
Linear redundancy reduction learning
1995/01/01
English
Using recurrent neural networks to learn the structure of interconnection networks
1995/01/01
English
The generalized proportional-integral-derivative (PID) gradient descent back propagation algorithm
1995/01/01
English
Delay-dependent Lurie–Postnikov type Lyapunov–Krasovskii functionals for stability analysis of discrete-time delayed neural networks
2024/05/01
English
Enhancing adversarial attacks with resize-invariant and logical ensemble
2024/05/01
English
Recurrent radial basis function networks for adaptive noise cancellation
1995/01/01
English
Graph structure reforming framework enhanced by commute time distance for graph classification
2023/11/01
English
Reward prediction-errors weighted by cue salience produces addictive behaviours in simulations, with asymmetrical learning and steeper delay discounting
2023/11/01
English
MPCNet: Compressed multi-view video restoration via motion-parallax complementation network
2023/10/01
English
Competitive learning to generate sparse representations for associative memory
2023/11/01
English
A scalable second order optimizer with an adaptive trust region for neural networks
2023/10/01
English
RepCo: Replenish sample views with better consistency for contrastive learning
2023/11/01
English
Symmetric LINEX loss twin support vector machine for robust classification and its fast iterative algorithm
2023/11/01
English
RASP: Regularization-based Amplitude Saliency Pruning
2023/11/01
English
Improving Differentiable Architecture Search via self-distillation
2023/10/01
English
Causal multi-label learning for image classification
2023/10/01
English
How to backdoor split learning
2023/11/01
English
Unsupervised anomaly detection by densely contrastive learning for time series data
2023/11/01
English
MSSPA-GC: Multi-Scale Shape Prior Adaptation with 3D Graph Convolutions for Category-Level Object Pose Estimation
2023/09/01
English
Information theory-guided heuristic progressive multi-view coding
2023/10/01
English
Distorted image classification using neural activation pattern matching loss
2023/10/01
English
Conditioned Cooperative training for semi-supervised weapon detection
2023/10/01
English
DEBI-NN: Distance-encoding biomorphic-informational neural networks for minimizing the number of trainable parameters
2023/10/01
English
Active learning based on similarity level histogram and adaptive-scale sampling for very high resolution image classification
2023/10/01
English
ShuffleTrans: Patch-wise weight shuffle for transparent object segmentation
2023/10/01
English
Discrete-time robust event-triggered actuator fault-tolerant control based on adaptive networks and reinforcement learning
2023/09/01
English
Event fusion photometric stereo network
2023/10/01
English
A knowledge-based learning framework for self-supervised pre-training towards enhanced recognition of biomedical microscopy images
2023/10/01
English
Joint learning of feature and topology for multi-view graph convolutional network
2023/11/01
English
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