yusuke1997/dblp-id-title huggingface dataset:
Personalised modelling with spiking neural networks integrating temporal and static information
Consensus-guided individual graph learning via enhanced tensor low-rank for robust multi-view clustering
DiverseReID: Towards generalizable person re-identification via Dynamic Style Hallucination and decoupled domain experts
Prompt-Enhanced: Leveraging language representation for prompt continual learning
Surface similarity parameter: A new machine learning loss metric for oscillatory spatio-temporal data
Delay-dependent exponential stability analysis of delayed neural networks: an LMI approach
Adaptive event-triggered synchronization of neural networks under stochastic cyber-attacks with application to Chua's circuit
Multi-UAV autonomous collision avoidance based on PPO-GIC algorithm with CNN-LSTM fusion network
Distributed deep reinforcement learning based on bi-objective framework for multi-robot formation
Fast self-supervised discrete graph clustering with ensemble local cluster constraints
On the minimax optimality and superiority of deep neural network learning over sparse parameter spaces
Simplified dynamics in a model of noradrenergic modulation of cognitive performance
Efficient distribution of backpropagation models on parallel architectures
The MDF discrimination measure: Fisher in disguise
Editorial for the special issue ICANN-2010
Magnitude and angle dynamics in training single ReLU neurons
DANet: Semi-supervised differentiated auxiliaries guided network for video action recognition
Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception
An interconnect structure for wafer scale neurocomputers
Genetic data visualization using literature text-based neural networks: Examples associated with myocardial infarction
Investigation of a layered network as an associative memory
A graph-based N-body approximation with application to stochastic neighbor embedding
A wholistic view of continual learning with deep neural networks: Forgotten lessons and the bridge to active and open world learning
Multi-knowledge informed deep learning model for multi-point prediction of Alzheimer's disease progression
Probabilistic-sampling-based asynchronous control for semi-Markov jumping neural networks with reaction-diffusion terms
Automated classification of cells into multiple classes in epithelial tissue of oral squamous cell carcinoma using transfer learning and convolutional neural network
On the importance of hidden bias and hidden entropy in representational efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines
DANTE: Deep alternations for training neural networks
Response to letter by S. Grossberg
On-line identification and reconstruction of finite automata with generalized recurrent neural networks
Matrix logarithm parametrizations for neural network covariance models
DWSSA: Alleviating over-smoothness for deep Graph Neural Networks
Delayed-feedback oscillators replicate the dynamics of multiplex networks: Wavefront propagation and stochastic resonance
Threshold control of chaotic neural network
Multivariate neural network operators with sigmoidal activation functions
Binocular disparity encoding cells generated through an Infomax based learning algorithm
AANN: an alternative to GMM for pattern recognition
Looking to the future: Learning from experience, averting catastrophe
Spatial multi-attention conditional neural processes
His-GAN: A histogram-based GAN model to improve data generation quality
A tennis serve and upswing learning robot based on bi-directional theory
Dynamic and scalable audio classification by collective network of binary classifiers framework: An evolutionary approach
Attack and defense techniques in large language models: A survey and new perspectives
Design of deep echo state networks
Event-triggered impulsive synchronization of discrete-time coupled neural networks with stochastic perturbations and multiple delays
Distilling mathematical reasoning capabilities into Small Language Models
Prototype-Neighbor Networks with task-specific enhanced meta-learning for few-shot classification
SOM's mathematics
Cross-domain policy adaptation with dynamics alignment
Aligning the domains in cross domain model inversion attack
When bipartite graph learning meets anomaly detection in attributed networks: Understand abnormalities from each attribute
Two-level hierarchy with sparsely and temporally coded patterns and its possible functional role in information processing
Corrigendum to "A model of operant learning based on chaotically varying synaptic strength" [Neural Netw. 108 (2018) 114-127]
Silicon Multinomial Conjunctoid Statistical Learning Modules
A note on chaotic behavior in simple neural networks
Engineering neural systems for high-level problem solving
Finite-time and fixed-time self-triggered synchronization of stochastic memristive neural networks and applications in secure communication
Knowledge distillation under ideal joint classifier assumption
A computationally efficient and robust looming perception model based on dynamic neural field
Necessary conditions for STDP-based pattern recognition learning in a memristive spiking neural network
A Dual-Dimer method for training physics-constrained neural networks with minimax architecture
Fast finite-time quantized control of multi-layer networks and its applications in secure communication
Multi-view subspace tensorization with attentive clustering embedding
Dynamic semantic-geometric guidance and structure transfer network for cross-scene hyperspectral image classification
Multi-granularity knowledge distillation and prototype consistency regularization for class-incremental learning
Predictive neural networks for gene expression data analysis
Complex quantized minimum error entropy with fiducial points: theory and application in model regression
A varying-parameter fixed-time gradient-based dynamic network for convex optimization
TSFD-Net: Tissue specific feature distillation network for nuclei segmentation and classification
Efficient Partition of Learning Data Sets for Neural Network Training
Trainable Spiking-YOLO for low-latency and high-performance object detection
Spiking generative adversarial network with attention scoring decoding
Cross-entropy embedding of high-dimensional data using the neural gas model
TCH: A novel multi-view dimensionality reduction method based on triple contrastive heads
Weighted spatial based geometric scheme as an efficient algorithm for analyzing single-trial EEGS to improve cue-based BCI classification
Learning multi-regularized mutation-aware correlation filter for object tracking via an adaptive hybrid model
Grounding spatial relations in text-only language models
Complete stability of cellular neural networks with unbounded time-varying delays
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
Two-stage streaming keyword detection and localization with multi-scale depthwise temporal convolution
A BERT based dual-channel explainable text emotion recognition system
An efficient constrained learning algorithm with momentum acceleration
Iterative neural networks for improving memory capacity
A fast and robust learning algorithm for feedforward neural networks
A Geometrical Analysis of Associative Memory
A pipeline for enabling Nearshore Infrared Video Super-resolution to learn more high-frequency foreground information
An Integral Representation of Functions Using Three-layered Networks and Their Approximation Bounds
Emotion understanding from the perspective of autonomous robots research
Massively parallel neural circuits for stereoscopic color vision: Encoding, decoding and identification
Branched convolutional neural networks incorporated with Jacobian deep regression for facial landmark detection
A novel neural network-based survival analysis model
Perceiving the unusual: Temporal properties of hierarchical motor representations for action perception
Comparison of behavior-based and planning techniques on the small robot maze exploration problem
Rutting prediction and analysis of influence factors based on multivariate transfer entropy and graph neural networks
Fast yet versatile machine unlearning for deep neural networks
Self-protective whole body motion for humanoid robots based on synergy of global reaction and local reflex
Behavioral plasticity through the modulation of switch neurons
Finite-time synchronization control of a class of memristor-based recurrent neural networks
Learning representations via dynamics-based behavioral similarity for deep reinforcement learning
Flexible non-greedy discriminant subspace feature extraction
Discriminative representation learning via attention-enhanced contrastive learning for short text clustering
Cross-modal knowledge distillation for continuous sign language recognition
Graph-based methods coupled with specific distributional distances for adversarial attack detection
Nonlinear canonical correlation analysis by neural networks
DialogueLLM: Context and emotion knowledge-tuned large language models for emotion recognition in conversations
Feature-wise scaling and shifting: Improving the generalization capability of neural networks through capturing independent information of features
Internal models in the control of posture
Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data
Skill matters: Dynamic skill learning for multi-agent cooperative reinforcement learning
Traffic forecasting with graph spatial-temporal position recurrent network
Fast synchronization control and application for encryption-decryption of coupled neural networks with intermittent random disturbance
PVBF: A framework for mitigating parameter variation imbalance in online continual learning
Quadratic function nodes: Use, structure and training
On the Circuit Complexity of Sigmoid Feedforward Neural Networks
Graph routing between capsules
PFB-Diff: Progressive Feature Blending diffusion for text-driven image editing
Multiple types of synchronization analysis for discontinuous Cohen-Grossberg neural networks with time-varying delays
Analysis of convergence performance of neural networks ranking algorithm
RaLo: Rank-aware low-rank adaptation for pre-trained foundation models
Fully complex conjugate gradient-based neural networks using Wirtinger calculus framework: Deterministic convergence and its application
On multidimensional scaling and the embedding of self-organising maps
Text-guided Image Restoration and Semantic Enhancement for Text-to-Image Person Retrieval
Delay learning based on temporal coding in Spiking Neural Networks
Parallel and distributed neural models of the ideomotor principle: An investigation of imitative cortical pathways
Return of the normal distribution: Flexible deep continual learning with variational auto-encoders
SEGAL time series classification - Stable explanations using a generative model and an adaptive weighting method for LIME
Observer-based resilient dissipativity control for discrete-time memristor-based neural networks with unbounded or bounded time-varying delays
KLSANet: Key local semantic alignment Network for few-shot image classification
Capacity bounds for hyperbolic neural network representations of latent tree structures
Learning explainable task-relevant state representation for model-free deep reinforcement learning
General Gaussian Priors for Improved Generalization
BiLSTM-Filt: Neural network for radar word segmentation
Riemannian gradient methods for stochastic composition problems
Pattern recognition with figure-ground separation by generation of coherent oscillations
Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets
MTKSVCR: A novel multi-task multi-class support vector machine with safe acceleration rule
MGTR-MISS: More Ground Truth Retrieving based Multimodal Interaction and Semantic Supervision for video description
Recovering real-world images from single-scale boundaries with a novel filling-in architecture
Long-range cortical connections give rise to a robust velocity map of V1
Cerebellar LTD vs. motor learning - Lessons learned from studying GluD2
Causality-driven dual-domain network enhanced by Gaussian splatting for magnetic resonance image reconstruction
A direct discretization recurrent neurodynamics method for time-variant nonlinear optimization with redundant robot manipulators
Stability of a class of directionally sensitive asymmetric nonlinear neural networks
Design of double fuzzy clustering-driven context neural networks
Symbiotic adaptive neuro-evolution applied to rainfall-runoff modelling in northern England
A global coupling index of multivariate neural series with application to the evaluation of mild cognitive impairment
Modified Fuzzy ARTMAP Approaches Bayes Optimal Classification Rates: An Empirical Demonstration
Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free Class-Incremental learning
Online data visualization using the neural gas network
The emergence of goals in a self-organizing network: A non-mentalist model of intentional actions
Quantitative examinations for multi joint arm trajectory planning--using a robust calculation algorithm of the minimum commanded torque change trajectory
Stacked DeBERT: All attention in incomplete data for text classification
An unsupervised learning technique for artificial neural networks
NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data
Global exponential stabilization and lag synchronization control of inertial neural networks with time delays
EKDSC: Long-tailed recognition based on expert knowledge distillation for specific categories
Factorizing time-heterogeneous Markov transition for temporal recommendation
SuperM2M: Supervised and mixture-to-mixture co-learning for speech enhancement and noise-robust ASR
Reliable impulsive synchronization for fuzzy neural networks with mixed controllers
Practical emotional neural networks
Phase synchronization of coupled bursting neurons and the generalized Kuramoto model
Necessary and sufficient condition for multistability of neural networks evolving on a closed hypercube
Non-differentiable saddle points and sub-optimal local minima exist for deep ReLU networks
Topology-preserving Map Formation Achieved with a Purely Local Unsupervised Competitive Learning Rule
Network mechanisms of gamma oscillations in the CA3 region of the hippocampus
Low Rank Regularization: A review
Uncertainty-constrained fusion of single-view and multi-view depth estimation for AR virtual-real occlusion
Leveraging hierarchy in multimodal generative models for effective cross-modality inference
Label-activating framework for zero-shot learning
Information-theoretic methods for studying population codes
Characterization of a Class of Sigmoid Functions with Applications to Neural Networks
A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations
Graph structured autoencoder
Combining aggregated attention and transformer architecture for accurate and efficient performance of Spiking Neural Networks
A study of performance on microarray data sets for a classifier based on information theoretic learning
Open-world surgical video generation via dual-visual diffusion and dual-annealed generation
Interpreting hippocampal function as recoding and forecasting
Stability and synchronization of fractional-order memristive neural networks with multiple delays
Collaborative learning with corrupted labels
FOREX rate prediction improved by Elliott waves patterns based on neural networks
A bio-basis function neural network for protein peptide cleavage activity characterisation
Major depressive disorder detection via temporal-frequency-spatial transformer with sub-domain knowledge alignment using EEG
Detail-preserving image warping by enforcing smooth image sampling
Complexity-reduced implementations of complete and null-space-based linear discriminant analysis
Application of neural network to humanoid robots--development of co-associative memory model
Block-cyclic stochastic coordinate descent for deep neural networks
Long-term simulation of physical and mechanical behaviors using curriculum-transfer-learning based physics-informed neural networks
Tailoring knowledge for empowered cooperative actions in multi-agent reinforcement learning
A simple remedy for failure modes in physics informed neural networks
A novel neural dynamical approach to convex quadratic program and its efficient applications
Minimum class entropy: A maximum information approach to layered networks
Global synchronization of memristive neural networks subject to random disturbances via distributed pinning control
Information storage capacity of incompletely connected associative memories
Multiple asymptotical ω-periodicity of fractional-order delayed neural networks under state-dependent switching
Combinatorial evolution of regression nodes in feedforward neural networks
Learning feature relationships in CNN model via relational embedding convolution layer
The interaction of implicit learning, explicit hypothesis testing learning and implicit-to-explicit knowledge extraction
Spiking neural networks for EEG signal analysis: From theory to practice
Erratum to "Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics" [Neural Networks 19 (8) (2006) 1233-1241]
Fundamental consideration on self-formation of recognition cells
Modulation of LTP/LTD balance in STDP by an activity-dependent feedback mechanism
Curvature-aware selective feature interaction network for skin lesion segmentation
A simple linearization of the self-shrinking generator by means of cellular automata
Periodic solution for state-dependent impulsive shunting inhibitory CNNs with time-varying delays
Abstractive summarization through the prism of decoding strategies
Globally stable saturable learning laws
Multigraph classification using learnable integration network with application to gender fingerprinting
The asymmetric learning rates of murine exploratory behavior in sparse reward environments
Self organized mapping of data clusters to neuron groups
From free energy to expected energy: Improving energy-based value function approximation in reinforcement learning
Regularizing transformers with deep probabilistic layers
Differentially Private Multimodal Laplacian Dropout (DP-MLD) for EEG representative learning
Learning the pseudoinverse solution to network weights
A new Growing Neural Gas for clustering data streams
Stochastic resonance in noisy threshold neurons
Analysis and fully memristor-based reservoir computing for temporal data classification
Motor primitive and sequence self-organization in a hierarchical recurrent neural network
Event-triggered impulsive control on quasi-synchronization of memristive neural networks with time-varying delays
Efficient spiking neural network design via neural architecture search
Adaptive training of cortical feature maps for a robot sensorimotor controller
Frame-by-frame language identification in short utterances using deep neural networks
Online action proposal generation using spatio-temporal attention network
The Kohonen network incorporating explicit statistics and its application to the travelling salesman problem
A vision-language model for enhanced MCI identification in Alzheimer's disease through neuropsychological and neuroimaging data integration
Finite-time and fixed-time anti-synchronization of Markovian neural networks with stochastic disturbances via switching control
Adversarial Infrared Curves: An attack on infrared pedestrian detectors in the physical world
State estimation for static neural networks with time-varying delay
Efficient dynamic graph construction for inductive semi-supervised learning
Learning higher order correlations
Cost-effective framework for gradual domain adaptation with multifidelity
Design graph search problems with learning: A neural network approach
Zenithal isotropic object counting by localization using adversarial training
Document-level relation extraction with entity type constraints
Modeling propagation delays in the development of SOMs - a parallel with abnormal brain growth in autism
Convergent activation dynamics in continuous time networks
Corruption depth: Analysis of DNN depth for misclassification
Directional spike propagation in a recurrent network: Dynamical firewall as anisotropic recurrent inhibition
SSA-ICL: Multi-domain adaptive attention with intra-dataset continual learning for Facial expression recognition
Modeling cancelation of periodic inputs with burst-STDP and feedback
Analysis and test of efficient methods for building recursive deterministic perceptron neural networks
Modeling the role of basal ganglia in saccade generation: Is the indirect pathway the explorer?
An intelligent sales forecasting system through integration of artificial neural networks and fuzzy neural networks with fuzzy weight elimination
Neurodynamics-driven holistic approaches to semi-supervised feature selection
Convergence rates for single hidden layer feedforward networks
Accuracy of latent-variable estimation in Bayesian semi-supervised learning
Interplay between non-NMDA and NMDA receptor activation during oscillatory wave propagation: Analyses of caffeine-induced oscillations in the visual cortex of rats
A head-neck-eye system that learns fault-tolerant saccades to 3-D targets using a self-organizing neural model
The Transition from Automatic to Controlled Processing
Cardinality-constrained portfolio selection via two-timescale duplex neurodynamic optimization
Estimating exogenous variables in data with more variables than observations
The answer lies within: Detecting Trojans from DNNs' inherent characteristics
From external to internal: Step-wise feature enhancement network for image-text retrieval
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN
Executive control in a PDP system: Automatization of task performance and mindwandering
Arithmetic with language models: From memorization to computation
Interpolation processes in the visual perception of objects
Model of multi-modal cortical processing: Coherent learning in self-organizing modules
Cognitive memory and mapping in a brain-like system for robotic navigation
Recurrent neural network from adder's perspective: Carry-lookahead RNN
A model of hippocampal function
Complementary information mutual learning for multimodality medical image segmentation
Semi-dilated convolutional neural networks for epileptic seizure prediction
The "Accordion Grating Illusion" was described previously
Local minima and plateaus in hierarchical structures of multilayer perceptrons
NL q Theory: A Neural Control Framework with Global Asymptotic Stability Criteria
Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization
Computational role of exploration noise in error-based de novo motor learning
Neurobiologically Inspired Robotics: Enhanced Autonomy through Neuromorphic Cognition
Federated learning with bilateral defense via blockchain
Auction-guided model diffusion for communication-efficient federated learning on non-IID data
Parallel and robust skeletonization built on self-organizing elements
Free-VTON: Cost-free acceleration and quality enhancement for diffusion-based virtual try-on
A method for improving the real-time recurrent learning algorithm
Oblique and rotation double random forest
Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs
An extended exploratory projection pursuit network with linear and nonlinear anti-hebbian lateral connections applied to the cocktail party problem
Learned low-rank representation and its theoretical convergence analysis
Global exponential stability and dissipativity of generalized neural networks with time-varying delay signals
Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings
A pseudo-equilibrium thermodynamic model of information processing in nonlinear brain dynamics