yusuke1997/dblp-id-title huggingface dataset:
Fixed-time synchronization of proportional delay memristive complex-valued competitive neural networks
Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty
Multi-level encoder architectures for event causality identification
Eeproms as analog storage devices for neural nets
Semantic information-based attention mapping network for few-shot knowledge graph completion
Sparse coding with a somato-dendritic rule
TGSL: Trade-off graph structure learning via multifaceted graph information bottleneck
Cell placement by self-organisation
Multiscale corrections by continuous super-resolution
Cortical dynamics of three-dimensional surface perception: Binocular and half-occluded scenic images
Explainable exercise recommendation with knowledge graph
Analog MOS circuit techniques in the VLSI implementation of neural networks
Internal manipulation of perceptual representations in human flexible cognition: A computational model
GuidedStyle: Attribute knowledge guided style manipulation for semantic face editing
Computer aided neural network engineering
Temporal clustering with spiking neurons and dynamic synapses: towards technological applications
3DBench: A scalable benchmark for object and scene-level instruction-tuning of 3D large language models
A learning model for oscillatory networks
A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors
A neural implementation of canonical correlation analysis
Bayesian ARTMAP for regression
Spatiotemporal patterns in FitzHugh-Nagumo network and its application in image encryption
Fuzzy rough sets, and a granular neural network for unsupervised feature selection
Synaptic weight normalization effects for topographic mapping formation
Self-supervision assisted multimodal remote sensing image classification with coupled self-looping convolution networks
DualG-GAN, a Dual-channel Generator based Generative Adversarial Network for text-to-face synthesis
Bipartite synchronization in coupled delayed neural networks under pinning control
Graph embedding based multi-label Zero-shot Learning
Deterministic learning of hybrid Fuzzy Cognitive Maps and network reduction approaches
Adaptive critic designs: A case study for neurocontrol
Multi-granularity graph pooling for video-based person re-identification
ComCo: Complementary supervised contrastive learning for complementary label learning
A leader-following paradigm based deep reinforcement learning method for multi-agent cooperation games
LS-PRISM: A layer-selective pruning method via low-rank approximation and sparsification for efficient large language model compression
A model of the combination of optic flow and extraretinal eye movement signals in primate extrastriate visual cortex: Neural model of self-motion from optic flow and extraretinal cues
Online continual learning with declarative memory
Graph contrastive learning with implicit augmentations
Learning a class of large finite state machines with a recurrent neural network
Approximation of continuous and discontinuous mappings by a growing neural RBF-based algorithm
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework
Indirect biological measures of consciousness from field studies of brains as dynamical systems
Definition of an energy function for the random neural to solve optimization problems
SympGNNs: Symplectic Graph Neural Networks for identifying high-dimensional Hamiltonian systems and node classification
Neural network for solving convex quadratic bilevel programming problems
Using chaos to generate keys for associative noise-like coding memories
Trade off analysis between fixed-time stabilization and energy consumption of nonlinear neural networks
Competitive learning algorithms for vector quantization
Two algorithms for improving model-based diagnosis using multiple observations and deep learning
Information theory, novelty and hippocampal responses: unpredicted or unpredictable?
Fuzzy-Rough Cognitive Networks
OperaGAN: A simultaneous transfer network for opera makeup and complex headwear
A language modeling-like approach to sketching
HyTract: Advancing tractography for neurosurgical planning with a hybrid method integrating neural networks and a path search algorithm
Reliable object tracking by multimodal hybrid feature extraction and transformer-based fusion
CS-QCFS: Bridging the performance gap in ultra-low latency spiking neural networks
Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine
MIU-Net: Advanced multi-scale feature extraction and imbalance mitigation for optic disc segmentation
Neural network models in a set selection problem
FPGA implementation of a configurable neuromorphic CPG-based locomotion controller
Event-triggered passivity and synchronization of delayed multiple-weighted coupled reaction-diffusion neural networks with non-identical nodes
Computational cognitive models of prefrontal-striatal-hippocampal interactions in Parkinson's disease and schizophrenia
An attribution graph-based interpretable method for CNNs
Cross-level graph contrastive learning for community value prediction
Harnessing collective structure knowledge in data augmentation for graph neural networks
An oscillatory criterion for a time delayed neural ring network model
Layerwised multimodal knowledge distillation for vision-language pretrained model
Dynamic feedback to the superior colliculus in a neural network model of the gaze control system
Analysis of Tikhonov regularization for function approximation by neural networks
Intermediate-grained kernel elements pruning with structured sparsity
Unified semantic space learning for cross-modal retrieval
Laplacian twin support vector machine for semi-supervised classification
Variational inference with Gaussian mixture model and householder flow
Improving subspace learning for facial expression recognition using person dependent and geometrically enriched training sets
Stability analysis of delayed neural networks via a new integral inequality
Self-organizing feature maps and the travelling salesman problem
Cauchy activation function and XNet
A multilayered bidirectional associative memory model for learning nonlinear tasks
Predefined-time distributed optimization and anti-disturbance control for nonlinear multi-agent system with neural network estimator: A hierarchical framework
Asymmetric double-winged multi-view clustering network for exploring diverse and consistent information
Neural dynamics of spreading attentional labels in mental contour tracing
Nonclosedness of sets of neural networks in Sobolev spaces
Real-time face & eye tracking and blink detection using event cameras
Synthetic computational models of selective attention
The iCub humanoid robot: An open-systems platform for research in cognitive development
The context-tree kernel for strings
TL-ADA: Transferable Loss-based Active Domain Adaptation
FMixCutMatch for semi-supervised deep learning
Metacognition for Unknown Situations and Environments (MUSE)
Criteria for exponential stability of Cohen-Grossberg neural networks
New results on global exponential dissipativity analysis of memristive inertial neural networks with distributed time-varying delays
Neural network based optimal routing algorithm for communication networks
A model of working memory: bridging the gap between electrophysiology and human brain imaging
Hypergraph contrastive attention networks for hyperedge prediction with negative samples evaluation
Mapping broadband electrocorticographic recordings to two-dimensional hand trajectories in humans: Motor control features
DropNaE: Alleviating irregularity for large-scale graph representation learning
Upper bound of the expected training error of neural network regression for a Gaussian noise sequence
Lyapunov functions for convergence of principal component algorithms
On the Storage Capacity of Nonlinear Neural Networks
The minimum feature set problem
Few-shot learning with representative global prototype
Flashbacks to harmonize stability and plasticity in continual learning
Embodied sequential sampling models and dynamic neural fields for decision-making: Why hesitate between two when a continuum is the answer
Dynamics of complex-valued fractional-order neural networks
Fixed-time periodic stabilization of discontinuous reaction-diffusion Cohen-Grossberg neural networks
Uniform approximation with quadratic neural networks
Generalized image outpainting with U-transformer
Mitigating low-frequency bias: Feature recalibration and frequency attention regularization for adversarial robustness
Adiabatic layering: A new concept of hierarchical multi-scale optimization
Adaptive discrete-time neural prescribed performance control: A safe control approach
A Numerical Implementation of Kolmogorov's Superpositions
Probabilistic neural network with homogeneity testing in recognition of discrete patterns set
Refining competition in the self-organising tree map for unsupervised biofilm image segmentation
Inverse free reduced universum twin support vector machine for imbalanced data classification
Delay-dependent criterion for asymptotic stability of a class of fractional-order memristive neural networks with time-varying delays
Dreaming neural networks: Forgetting spurious memories and reinforcing pure ones
Exponential synchronization of neural networks with time-varying delays and stochastic impulses
Rapid learning of spatial representations for goal-directed navigation based on a novel model of hippocampal place fields
Multivariate distribution fitting for GANs via introducing variable correlations
Design of nonlinear optimal control for chaotic synchronization of coupled stochastic neural networks via Hamilton-Jacobi-Bellman equation
Generative negative replay for continual learning
Deep joint learning for language recognition
Synthesis of recurrent neural dynamics for monotone inclusion with application to Bayesian inference
Recognition of manipulated objects by motor learning with modular architecture networks
Long short-term memory with activation on gradient
Quasi-synchronization of Caputo-Hadamard fractional-order memristive neural networks with time-varying delays
Characterization of seizure-like events recorded in vivo in a mouse model of Rett syndrome
Break Adhesion: Triple adaptive-parsing for weakly supervised instance segmentation
Model inversion by parameter fit using NN emulating the forward model - Evaluation of indirect measurements
Blind separation of sources: A nonlinear neural algorithm
LUNETR: Language-Infused UNETR for precise pancreatic tumor segmentation in 3D medical image
Graph Spring Network and Informative Anchor Selection for session-based recommendation
A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index
Bayesian rank penalization
Continual learning in the presence of repetition
Deep ReLU neural networks in high-dimensional approximation
The micro-structure of attention
DMPP: Differentiable multi-pruner and predictor for neural network pruning
Dynamic meta-graph convolutional recurrent network for heterogeneous spatiotemporal graph forecasting
Probabilistic learning vector quantization on manifold of symmetric positive definite matrices
Clustering characterization of adaptive resonance
Multi-graph clustering via multi-modal topological manifold learning
A hierarchical classifier using new support vector machines for automatic target recognition
Data-dependent stability analysis of adversarial training
SpikeSEE: An energy-efficient dynamic scenes processing framework for retinal prostheses
Improved dual-scale residual network for image super-resolution
Extended LATER model can account for trial-by-trial variability of both pre- and post-processes
Cross-domain heterogeneous residual network for single image super-resolution
Cellular Nonlinear Networks for the emergence of perceptual states: Application to robot navigation control
Passivity analysis for memristor-based recurrent neural networks with discrete and distributed delays
Decoupled graph knowledge distillation: A general logits-based method for learning MLPs on graphs
Hungarian layer: A novel interpretable neural layer for paraphrase identification
A GPU-accelerated cortical neural network model for visually guided robot navigation
Explanation of emotion regulation mechanism of mindfulness using a brain function model
Salience Interest Option: Temporal abstraction with salience interest functions
Sensitivity analysis applied to the construction of radial basis function networks
DEBI-NN: Distance-encoding biomorphic-informational neural networks for minimizing the number of trainable parameters
Stochastic quasi-synchronization of heterogeneous delayed impulsive dynamical networks via single impulsive control
Adaptive pooling with dual-stage fusion for skeleton-based action recognition
Modular representation of layered neural networks
Long-range zero-shot generative deep network quantization
Deducing logical relationships between spatially registered cortical parcellations under conditions of uncertainty
Migrate demographic group for fair Graph Neural Networks
DuPt: Rehearsal-based continual learning with dual prompts
Ultrametrics, pseudo-ultrametrics, fuzzy sets, and pattern recognition
Reachable set bounding for neural networks with mixed delays: Reciprocally convex approach
Periodicity and global exponential stability of generalized Cohen-Grossberg neural networks with discontinuous activations and mixed delays
Attention-based stackable graph convolutional network for multi-view learning
An extensive experimental survey of regression methods
Cortical basis of communication: Local computation, coordination, attention
A fully value distributional deep reinforcement learning framework for multi-agent cooperation
Regularization of deep neural networks with spectral dropout
MGAT: Multi-view Graph Attention Networks
Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning
Template based black-box optimization of dynamic neural fields
Efficient speech command recognition leveraging spiking neural networks and progressive time-scaled curriculum distillation
Selective attention model with spiking elements
Self-consistent signal-to-noise analysis of Hopfield model with unit replacement
KGFedRS: Knowledge Graph enhanced Federated Recommender System
Dual-level dynamic heterogeneous graph network for video question answering
Deterministic neural dynamics transmitted through neural networks
Comparing Bayesian neural network algorithms for classifying segmented outdoor images
Guest editorial: Special issue on advances in deep learning based speech processing
SGORNN: Combining scalar gates and orthogonal constraints in recurrent networks
Curriculum learning with Hindsight Experience Replay for sequential object manipulation tasks
ASSAF: Advanced and Slim StegAnalysis Detection Framework for JPEG images based on deep convolutional denoising autoencoder and Siamese networks
Saccade and purify: Task adapted multi-view feature calibration network for few shot learning
Scalability issues in neural networks
Revisiting graph neural networks from hybrid regularized graph signal reconstruction
Distributed semi-supervised support vector machines
Loss-driven dynamic weight and residual transformation in physics-informed neural network
Event-triggered H ∞ filter design for delayed neural network with quantization
Semi-supervised distributed representations of documents for sentiment analysis
Analysis of perfect mappings of the stimuli through neural temporal sequences
Improving support vector machine classifiers by modifying kernel functions
SNAVA - A real-time multi-FPGA multi-model spiking neural network simulation architecture
A hypothetical neural network model for generation of human precision grip
Variational Approach to Unsupervised Learning Algorithms of Neural Networks
CrimeNet: Neural Structured Learning using Vision Transformer for violence detection
P-DIFF+: Improving learning classifier with noisy labels by Noisy Negative Learning loss
Attributed graph clustering with multi-task embedding learning
Numerical solution of differential equations using multiquadric radial basis function networks
Modular hierarchical reinforcement learning for multi-destination navigation in hybrid crowds
Structure learning with similarity preserving
Stochastic stability of discrete-time Markovian jump delay neural networks with impulses and incomplete information on transition probability
Optimal Linear Combinations of Neural Networks
Hybrid tensor decomposition in neural network compression
Improving data augmentation for low resource speech-to-text translation with diverse paraphrasing
Autoencoder-based contrastive learning for next basket recommendation
Impact of temporal coding of presynaptic entorhinal cortex grid cells on the formation of hippocampal place fields
Effective neural algorithms for the traveling salesman problem
Persistent irregular activity is a result of rebound and coincident detection mechanisms: A computational study
IA-FaceS: A bidirectional method for semantic face editing
Adversarial Lagrangian integrated contrastive embedding for limited size datasets
Learning in the machine: Recirculation is random backpropagation
Probability graph complementation contrastive learning
GAN-based data reconstruction attacks in split learning
Low-rank representation with adaptive graph regularization
The correlational associative memory realizes Hebbian learning
Some analytical solutions to the general approximation problem for feedforward neural networks
Multistability in a class of stochastic delayed Hopfield neural networks
On probabilistic invariance
The loading problem for recursive neural networks
Inter-modality feature prediction through multimodal fusion for 3D shape defect detection
Global exponential stability of recurrent neural networks with time-varying delays in the presence of strong external stimuli
Training neural networks with heterogeneous data
The place cell activity is information-efficient constrained by energy
Unsupervised anomaly detection by densely contrastive learning for time series data
On the compression of neural networks using ℓ0-norm regularization and weight pruning
On the characterization of cognitive tasks using activity-specific short-lived synchronization between electroencephalography channels
A fast dynamic link matching algorithm for invariant pattern recognition
Approximation of classifiers by deep perceptron networks
On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning
Replica tree-based federated learning using limited data
Stability of delayed systems with R-L fractional order and application to synchronization in networks with delayed impulses
A multimodal convolutional neuro-fuzzy network for emotion understanding of movie clips
Heterogeneous Feature Knowledge Distillation based on Enhanced Feature Projector Correlation
A filter-augmented auto-encoder with learnable normalization for robust multivariate time series anomaly detection
Dynamic heteroassociative neural memories
Relating observability and compressed sensing of time-varying signals in recurrent linear networks
Elucidating multifinal and equifinal pathways to developmental disorders by constructing real-world neurorobotic models
A survey on neural-symbolic learning systems
DEFAEK: Domain Effective Fast Adaptive Network for Face Anti-Spoofing
Graph convolutional network with adaptive grouping aggregation strategy
Challenges in representation learning: A report on three machine learning contests
MPIC: Exploring alternative approach to standard convolution in deep neural networks
Solving two-stage stochastic integer programs via representation learning
The metastable and unstable states in the brain
Single-layer vision transformers for more accurate early exits with less overhead
Heterogeneous Pseudo-Supervised Learning for Few-shot Person Re-Identification
Partition level multiview subspace clustering
Newton-Puiseux analysis for interpretability and calibration of complex-valued neural networks
Measuring solar magnetic fields with artificial neural networks
The Emergent neural modeling system
A neural system for automatic target learning and recognition applied to bare and camouflaged SAR targets
A new neural network model for solving random interval linear programming problems
A flexible multicomputer algorithm for artificial neural networks
Performance improvement of classifier fusion for batch samples based on upper integral
Chaos in fractional-order discrete neural networks with application to image encryption
Uncertainty-guided attention learning for malaria parasite detection in thick blood smears
An adaptive neuromorphic model of ocular dominance map using floating gate 'synapse'
Artificial fly visual joint perception neural network inspired by multiple-regional collision detection
Dynamical properties of strongly interacting Markov chains
Lie-group-type neural system learning by manifold retractions
A modular architecture for transparent computation in recurrent neural networks
Computational cognitive models of spatial memory in navigation space: A review
Global exponential synchronization of delayed memristive neural networks with reaction-diffusion terms
Multilevel semantic and adaptive actionness learning for weakly supervised temporal action localization
CSTSINR: improving temporal continuity via convolutional structured implicit neural representations for time series anomaly detection
A constrained sequential EM algorithm for speech enhancement
A comprehensive study of class incremental learning algorithms for visual tasks
Application of fuzzy ARTMAP and ART-EMAP to automatic target recognition using radar range profiles
Proxy-AN loss for deep metric learning
Back propagation separates where perceptrons do
Effects of spectral radius and settling time in the performance of echo state networks
Dynamical behaviors of Cohen-Grossberg neural networks with discontinuous activation functions
Scalable one-pass multi-view clustering with tensorized multiscale bipartite graphs fusion
FLAT: Fusing layer representations for more efficient transfer learning in NLP
Fractional-order stochastic gradient descent method with momentum and energy for deep neural networks
Multi-scale multi-object semi-supervised consistency learning for ultrasound image segmentation
Soft computing techniques toward modeling the water supplies of Cyprus
New approximation method for smooth error backpropagation in a quantron network
Hopfield neural networks for on-line parameter estimation
When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning
Parameter-exploring policy gradients
Bridged adversarial training
Applications of counterpropagation networks
ConTIG: Continuous representation learning on temporal interaction graphs
Short utterance recognition using a network with minimum training
A multilayer recurrent neural network for solving continuous-time algebraic Riccati equations
Subfield variations in hippocampal processing--components of a spatial navigation system
A neural decoding algorithm that generates language from visual activity evoked by natural images
Universal approximation theorem for vector- and hypercomplex-valued neural networks
Memory search using complex dynamics in a recurrent neural network model
Ground-based telescope pointing and tracking optimization using a neural controller
Binary matrix factorization via collaborative neurodynamic optimization
Interpretable unsupervised neural network structure for data clustering via differentiable reconstruction of ONMF and sparse autoencoder
Spectral Decomposition and Transformation for Cross-domain Few-shot Learning
Chromatic aberration and the roles of double-opponent and color-luminance neurons in color vision
Possibilistic classification by support vector networks
Fixed-time stability of dynamical systems and fixed-time synchronization of coupled discontinuous neural networks
Information-theoretic decomposition of embodied and situated systems
Data alignment based adversarial defense benchmark for EEG-based BCIs