Neural Networks

Papers
(The TQCC of Neural Networks is 11. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
CURRENT EVENTS333
Stabilizing sequence learning in stochastic spiking networks with GABA-Modulated STDP249
Chaotic recurrent neural networks for brain modelling: A review248
CS-QCFS: Bridging the performance gap in ultra-low latency spiking neural networks246
Analysis of medical images super-resolution via a wavelet pyramid recursive neural network constrained by wavelet energy entropy232
Progressive Neighbor-masked Contrastive Learning for Fusion-style Deep Multi-view Clustering212
Event-triggered hybrid impulsive control for synchronization of fractional-order multilayer signed networks under cyber attacks147
Leveraging hierarchy in multimodal generative models for effective cross-modality inference145
Disturbance rejection for multi-weighted complex dynamical networks with actuator saturation and deception attacks via hybrid-triggered mechanism137
Exploring phase–amplitude coupling from primary motor cortex-basal ganglia–thalamus network model137
Fading memory echo state networks are universal133
Editorial Board129
CURRENT EVENTS106
Neural network-based dynamic target enclosing control for uncertain nonlinear multi-agent systems over signed networks105
Promises and perils of using Transformer-based models for SE research99
Explicitly diverse visual question generation96
Adaptive discrete-time neural prescribed performance control: A safe control approach93
Rethinking the optimization objective for transferable adversarial examples from a fuzzy perspective90
vEpiNet: A multimodal interictal epileptiform discharge detection method based on video and electroencephalogram data90
Announcement of the Neural Networks Best Paper Award87
An explainable artificial intelligence approach to spatial navigation based on hippocampal circuitry87
H85
A surge of submissions83
Noncompact uniform universal approximation81
Efficient spiking neural network design via neural architecture search81
Editorial Board78
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation78
Rapid learning of spatial representations for goal-directed navigation based on a novel model of hippocampal place fields77
NN/ENNS/JNNS - Membership Applic. Form77
Leveraging joint incremental learning objective with data ensemble for class incremental learning77
Editorial Board75
List of Editorial Board Members72
INN/ENNS/JNNS - Membership Applic. Form72
SepNet: A neural network for directionally correlated data71
Editorial Board70
List of Editorial Board Members67
Editorial Board67
Nostradamus: A novel event propagation prediction approach with spatio-temporal characteristics in non-Euclidean space66
Editorial Board66
INN/ENNS/JNNS - Membership Applic. Form65
Learning to recognize while learning to speak: Self-supervision and developing a speaking motor65
Approximation of classifiers by deep perceptron networks65
Current Events64
All by Myself: Learning individualized competitive behavior with a contrastive reinforcement learning optimization64
Blockwise compression of transformer-based models without retraining64
INN/ENNS/JNNS - Membership Applic. Form62
An efficient encoder–decoder model for portrait depth estimation from single images trained on pixel-accurate synthetic data61
An interaction-modeling mechanism for context-dependent Text-to-SQL translation based on heterogeneous graph aggregation61
Value iteration for streaming data on a continuous space with gradient method in an RKHS60
Spatial information transfer in hippocampal place cells depends on trial-to-trial variability, symmetry of place-field firing, and biophysical heterogeneities60
Current Events60
Mitigate forgetting in few-shot class-incremental learning using different image views60
INN/ENNS/JNNS - Membership Applic. Form60
Measuring multivariate phase synchronization with symbolization and permutation59
Quantized minimum error entropy with fiducial points for robust regression58
Reward prediction-errors weighted by cue salience produces addictive behaviours in simulations, with asymmetrical learning and steeper delay discounting57
Continual pre-training mitigates forgetting in language and vision56
Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations56
Editorial Board56
RegraphGAN: A graph generative adversarial network model for dynamic network anomaly detection56
A meta-framework for multi-label active learning based on deep reinforcement learning55
Graph-based social relation inference with multi-level conditional attention54
Human–Object Interaction detection via Global Context and Pairwise-level Fusion Features Integration54
DMPP: Differentiable multi-pruner and predictor for neural network pruning53
LDCNet: Lightweight dynamic convolution network for laparoscopic procedures image segmentation53
TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks53
Adversarial infrared blocks: A multi-view black-box attack to thermal infrared detectors in physical world53
H52
Directional intermodular coupling enriches functional complexity in biological neuronal networks52
Aligning the domains in cross domain model inversion attack52
A discrete convolutional network for entity relation extraction52
Spectral adversarial attack on graph via node injection51
Solving classification tasks by a receptron based on nonlinear optical speckle fields50
Recovering Permuted Sequential Features for effective Reinforcement Learning50
TSOM: Small object motion detection neural network inspired by avian visual circuit50
Editorial Board49
HiddenSinger: High-quality singing voice synthesis via neural audio codec and latent diffusion models49
Synchronization of time-delay dynamical networks via hybrid delayed impulses49
Tensorial multiview low-rank high-order graph learning for context-enhanced domain adaptation48
Personalized multi-head self-attention network for news recommendation48
Bio-inspired deep neural local acuity and focus learning for visual image recognition48
Skill matters: Dynamic skill learning for multi-agent cooperative reinforcement learning48
Multitype view of knowledge contrastive learning for recommendation48
A general adaptive unsupervised feature selection with auto-weighting48
Deep fuzzy physics-informed neural networks for forward and inverse PDE problems48
Salience Interest Option: Temporal abstraction with salience interest functions47
Switching ETM-based neural adaptive output feedback control for nonaffine stochastic MIMO nonlinear systems subject to deferred constraint47
Interaction-knowledge semantic alignment for recommendation47
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
Efficient correntropy-based multi-view clustering with anchor graph embedding46
INN/ENNS/JNNS - Membership Applic. Form46
Any region can be perceived equally and effectively on rotation pretext task using full rotation and weighted-region mixture46
Dual self-paced multi-view clustering46
Learning dynamic graph representations through timespan view contrasts45
Flexibly regularized mixture models and application to image segmentation45
Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network45
RASP: Regularization-based Amplitude Saliency Pruning45
Editorial Board45
Bidirectionally self-normalizing neural networks45
Instantaneous estimation of momentary affective responses using neurophysiological signals and a spatiotemporal emotional intensity regression network44
Discriminative multimodal learning via conditional priors in generative models44
INN/ENNS/JNNS - Membership Applic. Form44
A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots44
Fixed-time synchronization of complex-valued neural networks for image protection and 3D point cloud information protection44
GEPAF: A non-monotonic generalized activation function in neural network for improving prediction with diverse data distributions characteristics43
CURRENT EVENTS43
DualAttlog: Context aware dual attention networks for log-based anomaly detection43
Deep graph representation learning for influence maximization with accelerated inference43
Beyond multilayer perceptrons: Investigating complex topologies in neural networks43
SpikeSEE: An energy-efficient dynamic scenes processing framework for retinal prostheses42
INN/ENNS/JNNS - Membership Applic. Form42
ECCT: Efficient Contrastive Clustering via Pseudo-Siamese Vision Transformer and Multi-view Augmentation42
Contrastive self-representation learning for data clustering42
Towards a rigorous analysis of mutual information in contrastive learning42
Multi-scale Attention Convolutional Neural Network for time series classification42
DECNet: Dense embedding contrast for unsupervised semantic segmentation42
Randomized algorithms for large-scale dictionary learning41
Event-triggered H41
BalanceHRNet: An effective network for bottom-up human pose estimation40
An architecture entropy regularizer for differentiable neural architecture search40
Weighted Incremental–Decremental Support Vector Machines for concept drift with shifting window40
Improving data augmentation for low resource speech-to-text translation with diverse paraphrasing40
Explainable hybrid word representations for sentiment analysis of financial news38
Spatial–temporal recurrent reinforcement learning for autonomous ships38
Attributes learning network for generalized zero-shot learning38
A computationally efficient and robust looming perception model based on dynamic neural field38
Reduced-complexity Convolutional Neural Network in the compressed domain38
Equivalent-input-disturbance estimator-based event-triggered control design for master–slave neural networks38
Attractors for Hopfield lattice model in weighted spaces38
Novel criteria for global robust stability of dynamical neural networks with multiple time delays38
Adams-based hierarchical features fusion network for image dehazing37
DPGCL: Dual pass filtering based graph contrastive learning37
Mathematical expression recognition using a new deep neural model37
Improving transparency and representational generalizability through parallel continual learning37
An informative dual ForkNet for video anomaly detection37
Learning shared template representation with augmented feature for multi-object pose estimation36
Multi-node knowledge graph assisted distributed fault detection for large-scale industrial processes based on graph attention network and bidirectional LSTMs36
MaskLayer: Enabling scalable deep learning solutions by training embedded feature sets36
Physics-informed neural wavefields with Gabor basis functions36
Enhanced deep unrolling networks for snapshot compressive hyperspectral imaging36
Adv-BDPM: Adversarial attack based on Boundary Diffusion Probability Model36
Computational reproductions of external force field adaption without assuming desired trajectories36
Deep Isotonic Embedding Network: A flexible Monotonic Neural Network35
Rectify representation bias in vision-language models for long-tailed recognition35
Tell me your position: Distantly supervised biomedical entity relation extraction using entity position marker35
Heterogeneous graph convolutional network for multi-view semi-supervised classification35
Low dimensional approximation and generalization of multivariate functions on smooth manifolds using deep ReLU neural networks35
Data-driven learning of chaotic dynamical systems using Discrete-Temporal Sobolev Networks35
Exponential quasi-synchronization of coupled delayed memristive neural networks via intermittent event-triggered control34
Mutual Correlation Network for few-shot learning34
Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning34
Parallel orthogonal deep neural network34
InfraNet: Accurate forehead temperature measurement framework for people in the wild with monocular thermal infrared camera34
MV-SHIF: Multi-view symmetric hypothesis inference fusion network for emotion-cause pair extraction in documents34
Smoothing inertial neurodynamic approach for sparse signal reconstruction via34
Plane coexistence behaviors for Hopfield neural network with two-memristor-interconnected neurons34
Candidate region aware nested named entity recognition33
Automatic, dynamic, and nearly optimal learning rate specification via local quadratic approximation33
Multiple asymptotical ω-periodicity of fractional-order delayed neur33
Adaptive sampling artificial-actual control for non-zero-sum games of constrained systems33
G2ViT: Graph Neural Network-Guided Vision Transformer Enhanced Network for retinal vessel and coronary angiograph segmentation33
Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information33
GeneWorker: An end-to-end robotic reinforcement learning approach with collaborative generator and worker networks32
Comprehensive mining of information in Weakly Supervised Semantic Segmentation: Saliency semantics and edge semantics32
Enhancing neurodynamic approach with physics-informed neural networks for solving non-smooth convex optimization problems32
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data32
Graph convolutional network with tree-guided anisotropic message passing32
DEBI-NN: Distance-encoding biomorphic-informational neural networks for minimizing the number of trainable parameters32
Context and detail interaction network for stereo rain streak and raindrop removal32
Reinforced mixture learning32
FOESO-Net: A specific neural network for fast sensorless robot manipulator torque estimation32
Theoretical limits on the speed of learning inverse models explain the rate of adaptation in arm reaching tasks31
Using top-down modulation to optimally balance shared versus separated task representations31
Bio-inspired affordance learning for 6-DoF robotic grasping: A transformer-based global feature encoding approach31
Towards global neural network abstractions with locally-exact reconstruction31
Lower and upper bounds for numbers of linear regions of graph convolutional networks31
PSD-ELGAN: A pseudo self-distillation based CycleGAN with enhanced local adversarial interaction for single image dehazing31
LaenNet: Learning robust GCNs by propagating labels31
A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG31
Towards improving fast adversarial training in multi-exit network31
3D graph neural network with few-shot learning for predicting drug–drug interactions in scaffold-based cold start scenario31
Predictive accuracy of CNN for cortical oscillatory activity in an acute rat model of parkinsonism30
Optimal attention tuning in a neuro-computational model of the visual cortex–basal ganglia–prefrontal cortex loop30
TACN: A Topical Adversarial Capsule Network for textual network embedding30
Enhancing SNN-based spatio-temporal learning: A benchmark dataset and Cross-Modality Attention model30
Face Omron Ring: Proactive defense against face forgery with identity awareness30
An end-to-end bi-objective approach to deep graph partitioning30
Backdoor attacks on unsupervised graph representation learning29
Transition dynamics and optogenetic controls of generalized periodic epileptiform discharges29
Neural dynamics and seizure correlations: Insights from neural mass models in a Tetanus Toxin rat model of epilepsy29
Golden subject is everyone: A subject transfer neural network for motor imagery-based brain computer interfaces29
A digital neuromorphic system for working memory based on spiking neuron-astrocyte network29
RBP-DIP: Residual back projection with deep image prior for ill-posed CT reconstruction29
Fast writer adaptation with style extractor network for handwritten text recognition29
Deep semi-supervised learning via dynamic anchor graph embedding in latent space29
A delay-robust method for enhanced real-time reinforcement learning29
Sequential safe feature elimination rule for L28
Universality of gradient descent neural network training28
Using source data to aid and build variational state–space autoencoders with sparse target data for process monitoring28
Evolved explainable classifications for lymph node metastases28
Efficient multi-view fusion and flexible adaptation to view missing in cardiovascular system signals28
A hybridization of distributed policy and heuristic augmentation for improving federated learning approach28
Corrigendum to “Fractional-order discontinuous systems with indefinite LKFs: An application to fractional-order neural networks with time delays” [Neural Networks 145 (2022) 319–330]28
Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks28
An exact mapping from ReLU networks to spiking neural networks28
Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel28
Active sensing with artificial neural networks27
Multi-agent Continuous Control with Generative Flow Networks27
Paradoxical sensory reactivity induced by functional disconnection in a robot model of neurodevelopmental disorder27
Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning27
Lag projective synchronization of discrete-time fractional-order quaternion-valued neural networks with time delays27
Exploring better sparsely annotated shadow detection27
Self-supervised Learning for DNA sequences with circular dilated convolutional networks27
Extracting and inserting knowledge into stacked denoising auto-encoders27
Optimistic sequential multi-agent reinforcement learning with motivational communication27
Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment27
Advanced optimal tracking integrating a neural critic technique for asymmetric constrained zero-sum games27
Top-down generation of low-resolution representations improves visual perception and imagination26
Memristor-based circuit design of episodic memory neural network and its application in hurricane category prediction26
T-distributed Stochastic Neighbor Network for unsupervised representation learning26
A fast saddle-point dynamical system approach to robust deep learning26
Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization26
Nonclosedness of sets of neural networks in Sobolev spaces26
Expressive power of ReLU and step networks under floating-point operations26
MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule26
Probabilistic learning vector quantization on manifold of symmetric positive definite matrices26
Investigating navigation strategies in the Morris Water Maze through deep reinforcement learning26
Neural Q-learning for discrete-time nonlinear zero-sum games with adjustable convergence rate26
PSAR-SR: Patches separation and artifacts removal for improving super-resolution networks26
Spatial reconstructed local attention Res2Net with F0 subband for fake speech detection26
Learning to reweight examples in multi-label classification25
Spiking generative adversarial network with attention scoring decoding25
A novel fractional-order memristive Hopfield neural network for traveling salesman problem and its FPGA implementation25
Heterogeneous coexisting attractors, large-scale amplitude control and finite-time synchronization of central cyclic memristive neural networks25
Smooth dendrite morphological neurons25
Threshold learning algorithm for memristive neural network with binary switching behavior25
On energy complexity of fully-connected layers25
A lightweight and gradient-stable neural layer25
Generative subgoal oriented multi-agent reinforcement learning through potential field25
Structure enhanced prototypical alignment for unsupervised cross-domain node classification25
Effective and direct control of neural TTS prosody by removing interactions between different attributes24
Manifold-based Shapley explanations for high dimensional correlated features24
Neural feedback facilitates rough-to-fine information retrieval24
How to handle noisy labels for robust learning from uncertainty24
Adaptive ambiguity-aware weighting for multi-label recognition with limited annotations24
Riemannian manifold-based disentangled representation learning for multi-site functional connectivity analysis24
Efficient learning with augmented spikes: A case study with image classification24
Exponential passivity of discrete-time switched neural networks with transmission delays via an event-triggered sliding mode control24
Cortical circuits for top-down control of perceptual grouping24
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