Neural Networks

Papers
(The TQCC of Neural Networks is 10. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-03-01 to 2025-03-01.)
ArticleCitations
CURRENT EVENTS282
Stabilizing sequence learning in stochastic spiking networks with GABA-Modulated STDP223
Analysis of medical images super-resolution via a wavelet pyramid recursive neural network constrained by wavelet energy entropy220
Progressive Neighbor-masked Contrastive Learning for Fusion-style Deep Multi-view Clustering219
Early stopping by correlating online indicators in neural networks216
FastGAE: Scalable graph autoencoders with stochastic subgraph decoding205
On the Kolmogorov neural networks137
Filter pruning for convolutional neural networks in semantic image segmentation127
Finite-time cluster synchronization for complex dynamical networks under FDI attack: A periodic control approach120
Editorial Board115
CURRENT EVENTS113
Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization108
Boosting adversarial robustness via self-paced adversarial training105
vEpiNet: A multimodal interictal epileptiform discharge detection method based on video and electroencephalogram data105
Announcement of the Neural Networks Best Paper Award101
Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environments88
An explainable artificial intelligence approach to spatial navigation based on hippocampal circuitry85
QTTNet: Quantized tensor train neural networks for 3D object and video recognition82
H80
A surge of submissions80
Efficient spiking neural network design via neural architecture search79
Graph-based social relation inference with multi-level conditional attention78
Noncompact uniform universal approximation77
Synergetic learning structure-based neuro-optimal fault tolerant control for unknown nonlinear systems76
Finite-time consensus control for multi-agent systems with full-state constraints and actuator failures73
Editorial Board72
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation70
A comparative analysis of multi-biometrics performance in human and action recognition using silhouette thermal-face and skeletal data68
Rapid learning of spatial representations for goal-directed navigation based on a novel model of hippocampal place fields67
NN/ENNS/JNNS - Membership Applic. Form67
Leveraging joint incremental learning objective with data ensemble for class incremental learning67
List of Editorial Board Members66
Editorial Board66
INN/ENNS/JNNS - Membership Applic. Form64
Editorial Board64
SepNet: A neural network for directionally correlated data64
Generating post-hoc explanations for Skip-gram-based node embeddings by identifying important nodes with bridgeness63
Editorial Board63
List of Editorial Board Members61
Nostradamus: A novel event propagation prediction approach with spatio-temporal characteristics in non-Euclidean space60
Editorial Board60
Approximation of classifiers by deep perceptron networks59
INN/ENNS/JNNS - Membership Applic. Form58
Current Events57
All by Myself: Learning individualized competitive behavior with a contrastive reinforcement learning optimization57
Blockwise compression of transformer-based models without retraining57
Learning to recognize while learning to speak: Self-supervision and developing a speaking motor57
INN/ENNS/JNNS - Membership Applic. Form56
An efficient encoder–decoder model for portrait depth estimation from single images trained on pixel-accurate synthetic data55
An interaction-modeling mechanism for context-dependent Text-to-SQL translation based on heterogeneous graph aggregation55
Current Events54
Value iteration for streaming data on a continuous space with gradient method in an RKHS54
INN/ENNS/JNNS - Membership Applic. Form54
Mitigate forgetting in few-shot class-incremental learning using different image views53
Spatial information transfer in hippocampal place cells depends on trial-to-trial variability, symmetry of place-field firing, and biophysical heterogeneities53
Synergetic learning for unknown nonlinear H52
Measuring multivariate phase synchronization with symbolization and permutation52
Editorial Board50
Reward prediction-errors weighted by cue salience produces addictive behaviours in simulations, with asymmetrical learning and steeper delay discounting50
Quantized minimum error entropy with fiducial points for robust regression50
Continual pre-training mitigates forgetting in language and vision50
Aligning the domains in cross domain model inversion attack49
RegraphGAN: A graph generative adversarial network model for dynamic network anomaly detection49
DMPP: Differentiable multi-pruner and predictor for neural network pruning49
Classification of DBS microelectrode recordings using a residual neural network with attention in the temporal domain49
Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations49
Channel reflection: Knowledge-driven data augmentation for EEG-based brain–computer interfaces48
Switching ETM-based neural adaptive output feedback control for nonaffine stochastic MIMO nonlinear systems subject to deferred constraint47
KEMoS: A knowledge-enhanced multi-modal summarizing framework for Chinese online meetings47
Sinogram upsampling using Primal–Dual UNet for undersampled CT and radial MRI reconstruction47
Salience Interest Option: Temporal abstraction with salience interest functions47
One-shot many-to-many facial reenactment using Bi-Layer Graph Convolutional Networks47
Self-supervised contrastive graph representation with node and graph augmentation46
A survey on modern trainable activation functions46
INN/ENNS/JNNS - Membership Applic. Form46
Editorial Board45
Learning dynamic graph representations through timespan view contrasts45
Time series (re)sampling using Generative Adversarial Networks45
Any region can be perceived equally and effectively on rotation pretext task using full rotation and weighted-region mixture45
Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network45
Disturbance rejection for multi-weighted complex dynamical networks with actuator saturation and deception attacks via hybrid-triggered mechanism44
RASP: Regularization-based Amplitude Saliency Pruning44
Bidirectionally self-normalizing neural networks44
Instantaneous estimation of momentary affective responses using neurophysiological signals and a spatiotemporal emotional intensity regression network43
Flexibly regularized mixture models and application to image segmentation43
A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots43
INN/ENNS/JNNS - Membership Applic. Form43
Discriminative multimodal learning via conditional priors in generative models43
GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics42
Event-triggered hybrid impulsive control for synchronization of fractional-order multilayer signed networks under cyber attacks42
DualAttlog: Context aware dual attention networks for log-based anomaly detection42
CURRENT EVENTS42
Beyond multilayer perceptrons: Investigating complex topologies in neural networks42
Fixed-time synchronization of complex-valued neural networks for image protection and 3D point cloud information protection42
Deep graph representation learning for influence maximization with accelerated inference41
ECCT: Efficient Contrastive Clustering via Pseudo-Siamese Vision Transformer and Multi-view Augmentation41
SpikeSEE: An energy-efficient dynamic scenes processing framework for retinal prostheses41
Analysis and fully memristor-based reservoir computing for temporal data classification40
HiddenSinger: High-quality singing voice synthesis via neural audio codec and latent diffusion models40
TSOM: Small object motion detection neural network inspired by avian visual circuit40
Solving classification tasks by a receptron based on nonlinear optical speckle fields40
Editorial Board40
Recovering Permuted Sequential Features for effective Reinforcement Learning40
Synchronization of time-delay dynamical networks via hybrid delayed impulses40
Bio-inspired deep neural local acuity and focus learning for visual image recognition39
A general adaptive unsupervised feature selection with auto-weighting39
Personalized multi-head self-attention network for news recommendation39
Tensorial multiview low-rank high-order graph learning for context-enhanced domain adaptation39
Skill matters: Dynamic skill learning for multi-agent cooperative reinforcement learning39
Deep fuzzy physics-informed neural networks for forward and inverse PDE problems38
Multitype view of knowledge contrastive learning for recommendation38
Interaction-knowledge semantic alignment for recommendation37
Event-triggered H37
Contrastive self-representation learning for data clustering37
Towards a rigorous analysis of mutual information in contrastive learning37
Weighted Incremental–Decremental Support Vector Machines for concept drift with shifting window37
DECNet: Dense embedding contrast for unsupervised semantic segmentation37
Randomized algorithms for large-scale dictionary learning37
INN/ENNS/JNNS - Membership Applic. Form37
Improving data augmentation for low resource speech-to-text translation with diverse paraphrasing36
CEGAT: A CNN and enhanced-GAT based on key sample selection strategy for hyperspectral image classification36
Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network36
Semantic consistency learning on manifold for source data-free unsupervised domain adaptation36
BalanceHRNet: An effective network for bottom-up human pose estimation36
Reduced-complexity Convolutional Neural Network in the compressed domain35
Explainable hybrid word representations for sentiment analysis of financial news35
An architecture entropy regularizer for differentiable neural architecture search35
Leveraging hierarchy in multimodal generative models for effective cross-modality inference35
Attributes learning network for generalized zero-shot learning35
Novel criteria for global robust stability of dynamical neural networks with multiple time delays35
Preassigned-time synchronization for complex-valued memristive neural networks with reaction–diffusion terms and Markov parameters35
Spatial–temporal recurrent reinforcement learning for autonomous ships34
DPGCL: Dual pass filtering based graph contrastive learning34
A comprehensive study of class incremental learning algorithms for visual tasks34
A computationally efficient and robust looming perception model based on dynamic neural field34
An informative dual ForkNet for video anomaly detection34
Equivalent-input-disturbance estimator-based event-triggered control design for master–slave neural networks34
Robust fall detection in video surveillance based on weakly supervised learning34
Attractors for Hopfield lattice model in weighted spaces34
Adaptive fixed-time output synchronization for complex dynamical networks with multi-weights33
Adams-based hierarchical features fusion network for image dehazing33
Mathematical expression recognition using a new deep neural model33
Enhanced deep unrolling networks for snapshot compressive hyperspectral imaging32
Improving transparency and representational generalizability through parallel continual learning32
A meta-framework for multi-label active learning based on deep reinforcement learning32
MaskLayer: Enabling scalable deep learning solutions by training embedded feature sets32
DAPath: Distance-aware knowledge graph reasoning based on deep reinforcement learning32
LDCNet: Lightweight dynamic convolution network for laparoscopic procedures image segmentation32
Partial label learning: Taxonomy, analysis and outlook32
Hierarchical Attention Master–Slave for heterogeneous multi-agent reinforcement learning32
Greedy auto-augmentation for n-shot learning using deep neural networks31
Quantum-inspired canonical correlation analysis for exponentially large dimensional data31
Physics-informed neural wavefields with Gabor basis functions31
Multi-node knowledge graph assisted distributed fault detection for large-scale industrial processes based on graph attention network and bidirectional LSTMs31
Dense Residual Network: Enhancing global dense feature flow for character recognition31
Structural deep multi-view clustering with integrated abstraction and detail31
Adaptive Decision Spatio-temporal neural ODE for traffic flow forecasting with Multi-Kernel Temporal Dynamic Dilation Convolution31
Computational reproductions of external force field adaption without assuming desired trajectories31
LFighter: Defending against the label-flipping attack in federated learning31
Human–Object Interaction detection via Global Context and Pairwise-level Fusion Features Integration30
Learning shared template representation with augmented feature for multi-object pose estimation30
RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation30
Adv-BDPM: Adversarial attack based on Boundary Diffusion Probability Model30
Adversarial infrared blocks: A multi-view black-box attack to thermal infrared detectors in physical world30
Unsupervised Domain Adaptation with Asymmetrical Margin Disparity loss and Outlier Sample Extraction30
Data-driven learning of chaotic dynamical systems using Discrete-Temporal Sobolev Networks29
Generalized robust loss functions for machine learning29
Low dimensional approximation and generalization of multivariate functions on smooth manifolds using deep ReLU neural networks29
Heterogeneous graph convolutional network for multi-view semi-supervised classification29
Deep Isotonic Embedding Network: A flexible Monotonic Neural Network29
MV-SHIF: Multi-view symmetric hypothesis inference fusion network for emotion-cause pair extraction in documents29
Rectify representation bias in vision-language models for long-tailed recognition29
Tell me your position: Distantly supervised biomedical entity relation extraction using entity position marker29
Parallel orthogonal deep neural network28
Smoothing inertial neurodynamic approach for sparse signal reconstruction via28
Tumor attention networks: Better feature selection, better tumor segmentation28
Exponential quasi-synchronization of coupled delayed memristive neural networks via intermittent event-triggered control28
Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning27
Plane coexistence behaviors for Hopfield neural network with two-memristor-interconnected neurons27
Enhancement, integration, expansion: Activating representation of detailed features for occluded person re-identification27
Mutual Correlation Network for few-shot learning27
Strangeness-driven exploration in multi-agent reinforcement learning27
Synchronization of memristive neural networks with unknown parameters via event-triggered adaptive control27
Multiple asymptotical ω-periodicity of fractional-order delayed neur27
Candidate region aware nested named entity recognition27
Stochastic quasi-synchronization of heterogeneous delayed impulsive dynamical networks via single impulsive control27
InfraNet: Accurate forehead temperature measurement framework for people in the wild with monocular thermal infrared camera27
TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks27
G2ViT: Graph Neural Network-Guided Vision Transformer Enhanced Network for retinal vessel and coronary angiograph segmentation27
Adaptive sampling artificial-actual control for non-zero-sum games of constrained systems26
Attention-based Sparse and Collaborative Spectral Abundance Learning for Hyperspectral Subpixel Target Detection26
Context and detail interaction network for stereo rain streak and raindrop removal26
Graph convolutional network with tree-guided anisotropic message passing26
Cross-modal guiding and reweighting network for multi-modal RSVP-based target detection26
GeneWorker: An end-to-end robotic reinforcement learning approach with collaborative generator and worker networks26
Reinforced mixture learning26
Automatic, dynamic, and nearly optimal learning rate specification via local quadratic approximation26
Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information26
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data26
SNR: Symbolic network-based rectifiable learning framework for symbolic regression25
Enhancing neurodynamic approach with physics-informed neural networks for solving non-smooth convex optimization problems25
DEBI-NN: Distance-encoding biomorphic-informational neural networks for minimizing the number of trainable parameters25
Theoretical limits on the speed of learning inverse models explain the rate of adaptation in arm reaching tasks25
LaenNet: Learning robust GCNs by propagating labels25
Adaptive event-triggered extended dissipative synchronization of delayed reaction–diffusion neural networks under deception attacks25
Dual self-paced multi-view clustering25
Bio-inspired affordance learning for 6-DoF robotic grasping: A transformer-based global feature encoding approach25
Lower and upper bounds for numbers of linear regions of graph convolutional networks25
Chaos and multi-layer attractors in asymmetric neural networks coupled with discrete fractional memristor25
Memristor-based spiking neural network with online reinforcement learning25
Enhanced regularization for on-chip training using analog and temporary memory weights25
Comprehensive mining of information in Weakly Supervised Semantic Segmentation: Saliency semantics and edge semantics25
FOESO-Net: A specific neural network for fast sensorless robot manipulator torque estimation25
A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG25
Decoding emotion with phase–amplitude fusion features of EEG functional connectivity network24
Refined UNet v3: Efficient end-to-end patch-wise network for cloud and shadow segmentation with multi-channel spectral features24
Towards improving fast adversarial training in multi-exit network24
Optimal attention tuning in a neuro-computational model of the visual cortex–basal ganglia–prefrontal cortex loop24
Multi-view subspace clustering via adaptive graph learning and late fusion alignment24
PSD-ELGAN: A pseudo self-distillation based CycleGAN with enhanced local adversarial interaction for single image dehazing24
An end-to-end bi-objective approach to deep graph partitioning24
3D graph neural network with few-shot learning for predicting drug–drug interactions in scaffold-based cold start scenario24
A Dual-Dimer method for training physics-constrained neural networks with minimax architecture24
Towards global neural network abstractions with locally-exact reconstruction24
Using top-down modulation to optimally balance shared versus separated task representations24
Enhancing SNN-based spatio-temporal learning: A benchmark dataset and Cross-Modality Attention model24
Golden subject is everyone: A subject transfer neural network for motor imagery-based brain computer interfaces23
A CNN model embedded with local feature knowledge and its application to time-varying signal classification23
HiAM: A Hierarchical Attention based Model for knowledge graph multi-hop reasoning23
Backdoor attacks on unsupervised graph representation learning23
Fast writer adaptation with style extractor network for handwritten text recognition23
TACN: A Topical Adversarial Capsule Network for textual network embedding23
Predictive accuracy of CNN for cortical oscillatory activity in an acute rat model of parkinsonism23
A digital neuromorphic system for working memory based on spiking neuron-astrocyte network23
Face Omron Ring: Proactive defense against face forgery with identity awareness23
Efficient correntropy-based multi-view clustering with anchor graph embedding22
Neural dynamics and seizure correlations: Insights from neural mass models in a Tetanus Toxin rat model of epilepsy22
Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks22
An exact mapping from ReLU networks to spiking neural networks22
Evolved explainable classifications for lymph node metastases22
Event-based master–slave synchronization of complex-valued neural networks via pinning impulsive control22
A delay-robust method for enhanced real-time reinforcement learning22
RBP-DIP: Residual back projection with deep image prior for ill-posed CT reconstruction22
Sequential safe feature elimination rule for L22
Epistemic uncertainty quantification in deep learning classification by the Delta method22
Fixed/Preassigned-time synchronization of quaternion-valued neural networks via pure power-law control22
Deep semi-supervised learning via dynamic anchor graph embedding in latent space22
Predicting progression of Alzheimer’s disease using forward-to-backward bi-directional network with integrative imputation22
Efficient multi-view fusion and flexible adaptation to view missing in cardiovascular system signals22
Universality of gradient descent neural network training22
0.069334983825684