yusuke1997/dblp-id-title huggingface dataset:
Realistic spiking neural network: Non-synaptic mechanisms improve convergence in cell assembly
Efficient learning with augmented spikes: A case study with image classification
Think straight or think again? Continual joint learning of deduction, abduction and induction
Concept learning through deep reinforcement learning with memory-augmented neural networks
SuperSAB: Fast adaptive back propagation with good scaling properties
Adaptive Resonance Theory in the time scales calculus
Back-propagation learning of infinite-dimensional dynamical systems
A video-driven model of response statistics in the primate middle temporal area
VKAD: A novel fault detection and isolation model for uncertainty-aware industrial processes
Words as a window: Using word embeddings to explore the learned representations of Convolutional Neural Networks
Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation
Flexible visually secure image encryption with meta-learning compression and chaotic systems
To understand double descent, we need to understand VC theory
Using ICA for removal of ocular artifacts in EEG recorded from blind subjects
Continual Object Detection: A review of definitions, strategies, and challenges
A review of learning in biologically plausible spiking neural networks
The connection between regularization operators and support vector kernels
Neural network modelling of velocity estimation during off-vertical axis rotation (ovar)
GMSR: Gradient-integrated mamba for spectral reconstruction from RGB images
An architectural model of conscious and unconscious brain functions: Global Workspace Theory and IDA
Neural maps and topographic vector quantization
Dynamics of information and emergent computation in generic neural microcircuit models
G-Node: An integrated tool-sharing platform to support cellular and systems neurophysiology in the age of global neuroinformatics
Coordinate-free sensorimotor processing: computing with population codes
Convergence analysis of deep Ritz method with over-parameterization
Integer sparse distributed memory: Analysis and results
Working Memory Connections for LSTM
World model learning and inference
GCPNet: An interpretable Generic Crystal Pattern graph neural Network for predicting material properties
Pairwise constrained concept factorization for data representation
A novel multivariate time series forecasting dendritic neuron model for COVID-19 pandemic transmission tendency
Compact silicon neuron circuit with spiking and bursting behaviour
RFNet: Multivariate long sequence time-series forecasting based on recurrent representation and feature enhancement
The third anniversary of Neural Networks
TWNFI - a transductive neuro-fuzzy inference system with weighted data normalization for personalized modeling
Nostradamus: A novel event propagation prediction approach with spatio-temporal characteristics in non-Euclidean space
Robust heterogeneous network representation learning by multifaceted curriculum training
Natural Reweighted Wake-Sleep
HyGloadAttack: Hard-label black-box textual adversarial attacks via hybrid optimization
A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease
Gradient domain model-driven algorithm unfolding network for blind image deblurring
A novel ramp loss-based multi-task twin support vector machine with multi-parameter safe acceleration
A vision-language model for multitask classification of memes
Deterministic learning rules for boltzmann machines
Biologically plausible learning in neural networks with modulatory feedback
Self-balancing Incremental Broad Learning System with privacy protection
Learning, regularization and splines
Enhanced regularization for on-chip training using analog and temporary memory weights
CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks
Unsupervised multi-sense language models for natural language processing tasks
Depth with nonlinearity creates no bad local minima in ResNets
Bias reduction in skewed binary classification with Bayesian neural networks
Robust underwater image enhancement with cascaded multi-level sub-networks and triple attention mechanism
Online computing of non-stationary distributions velocity fields by an accuracy controlled growing neural gas
Trajectory production with the adaptive time-delay neural network
Stability control of metastable states as a unified mechanism for flexible temporal modulation in cognitive processing
Learning from noisy information in FasArt and FasBack neuro-fuzzy systems
Invariant body kinematics: I. Saccadic and compensatory eye movements
Using epsiloon-greedy reinforcement learning methods to further understand ventromedial prefrontal patients' deficits on the Iowa Gambling Task
Another look at statistical learning theory and regularization
Prediction of telephone calls load using Echo State Network with exogenous variables
Neuro-fuzzy feature evaluation with theoretical analysis
Imitation and mirror systems in robots through Deep Modality Blending Networks
Spatial-frequency domain aggregation upsampling for pan-sharpening
A speech recognition method based on the sequential multi-layer perceptrons
Experience with selecting exemplars from clean data
Block-structured recurrent neural networks
Self-organized two-state membrane potential transitions in a network of realistically modeled cortical neurons
Semi-supervised information-maximization clustering
UGEE-Net: Uncertainty-guided and edge-enhanced network for image splicing localization
Deep feature fusion based childhood epilepsy syndrome classification from electroencephalogram
A unified noise and watermark removal from information bottleneck-based modeling
Extended dissipativity analysis for delayed markovian jump neural networks via delay-function-based Lyapunov functional
Design of a multiple kernel learning algorithm for LS-SVM by convex programming
N-tuple Regression Network
Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation
Cut-and-Paste: Subject-driven video editing with attention control
Spectral integrated neural networks with large time steps for 2D and 3D transient elastodynamic analysis
A distributed semi-supervised learning algorithm based on manifold regularization using wavelet neural network
Effects of synaptic connectivity on liquid state machine performance
Fuzzy Lattice Neurocomputing (FLN) models
Event-dependent control of noise enhances learning in neural networks
Synchronization for an array of neural networks with hybrid coupling by a novel pinning control strategy
Exponential synchronization of semi-Markovian coupled neural networks with mixed delays via tracker information and quantized output controller
DSPy-based neural-symbolic pipeline to enhance spatial reasoning in LLMs
Neuromuscular realization of planned arm movement trajectories
Cluster-CAM: Cluster-weighted visual interpretation of CNNs' decision in image classification
Towards a formalization of disease-specific ontologies for neuroinformatics
Approximation properties of Gaussian-binary restricted Boltzmann machines and Gaussian-binary deep belief networks
Large interest network for click-through rate prediction
Enhancing adversarial attacks with resize-invariant and logical ensemble
Lifelong learning of human actions with deep neural network self-organization
Optimization of sampling intervals for tracking control of nonlinear systems: A game theoretic approach
MRGAT: Multi-Relational Graph Attention Network for knowledge graph completion
Universal approximation in p-mean by neural networks
Neural network explanation using inversion
pth moment exponential stochastic synchronization of coupled memristor-based neural networks with mixed delays via delayed impulsive control
A fast method to approximately train hard support vector regression
A generalized neural network model
Effects of forgetting on the self-optimization of redundant sensory-motor control networks
Aperiodically intermittent quantized control-based exponential synchronization of quaternion-valued inertial neural networks
Exploration of a collection of documents in neuroscience and extraction of topics by clustering
Conditional diffusion model for recommender systems
Trustworthy Medical Image Segmentation with improved performance for in-distribution samples
A phase code for memory could arise from circuit mechanisms in entorhinal cortex
Bayesian DivideMix++ for Enhanced Learning with Noisy Labels
MemberShield: A framework for federated learning with membership privacy
CS-MRI reconstruction based on analysis dictionary learning and manifold structure regularization
Another bumper year
Enhancing end-to-end speech translation via multi-stage knowledge distillation
Physics Informed Neural Networks for Electrical Impedance Tomography
Neural network as generalized transversal filters
Learning sparse and meaningful representations through embodiment
Autonomous Growing Neural Gas for applications with time constraint: Optimal parameter estimation
A dynamic pattern theory of learning and recall
Hardware architecture of a neural network model simulating pattern recognition by the olfactory bulb
An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances
Modeling of directional operations in the motor cortex: A noisy network of spiking neurons is trained to generate a neural-vector trajectory
A new perspective in learning pattern generation for teaching neural networks
Deep learning-based image deconstruction method with maintained saliency
Generative adversarial networks with decoder-encoder output noises
Adversarially robust neural networks with feature uncertainty learning and label embedding
The global brain: imaging and modelling: Introduction: 2000 Special Issue
FastTalker: A neural text-to-speech architecture with shallow and group autoregression
Neural network forecasts of the tropical Pacific sea surface temperatures
Learning extreme expected shortfall and conditional tail moments with neural networks. Application to cryptocurrency data
Reinforcement learning for discounted values often loses the goal in the application to animal learning
A pattern correlation model of vestibulo-ocular reflex habituation
ASR-GCN: Adaptive spatial information reconstruction GCN for skeleton-based action recognition
A Dynamic Theory of Acquisition and Extinction in Operant Learning
An application-based study of the stochastic parallel computations in harmony theory
Corrigendum to "Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data" [Neural Networks 163 (2023) 272-285]
Retraction notice to "Hopf Bifurcation Stability in Hopfield Neural Networks" [Neural Networks 36 (2012) 51-58]
Attributed Multi-Order Graph Convolutional Network for Heterogeneous Graphs
Decomposition method-based global Mittag-Leffler synchronization for fractional-order Clifford-valued neural networks with transmission delays and impulses
Low-rank and sparse embedding for dimensionality reduction
A growing and pruning sequential learning algorithm of hyper basis function neural network for function approximation
Robust fitting by nonlinear neural units
Achieving "organic compositionality" through self-organization: Reviews on brain-inspired robotics experiments
Multivariate LSTM-FCNs for time series classification
Deep adversarial transition learning using cross-grafted generative stacks
Open-Pose 3D zero-shot learning: Benchmark and challenges
Multistate network model for the pathfinding problem with a self-recovery property
Environmentally adaptive acoustic transmission loss prediction in turbulent and nonturbulent atmospheres
Pixel classification based color image segmentation using quaternion exponent moments
Rethinking the optimization objective for transferable adversarial examples from a fuzzy perspective
Incremental multi-class semi-supervised clustering regularized by Kalman filtering
Generalized hamming networks and applications
ART based adaptive pole placement for neurocontrollers
A new recursive least squares-based learning algorithm for spiking neurons
A bio-inspired visual collision detection network integrated with dynamic temporal variance feedback regulated by scalable functional countering jitter streaming
Stochastic DCA for minimizing a large sum of DC functions with application to multi-class logistic regression
Counterfactual value decomposition for cooperative multi-agent reinforcement learning
Effect of diverse recoding of granule cells on optokinetic response in a cerebellar ring network with synaptic plasticity
On the dynamics of memorization processes
MGNet: RGBT tracking via cross-modality cross-region mutual guidance
Decoding neuronal networks: A Reservoir Computing approach for predicting connectivity and functionality
Spatial and temporal masking by saturation in the human fovea
Dynamic resource allocation during reinforcement learning accounts for ramping and phasic dopamine activity
Evolving granular neural networks from fuzzy data streams
Robust fixed-time synchronization for uncertain complex-valued neural networks with discontinuous activation functions
SimTA++: Simple attention neural network for clinical asynchronous time series
Neural network models for the gaze shift system in the superior colliculus and cerebellum
Self-supervised contrastive graph representation with node and graph augmentation
H∞ estimation for stochastic semi-Markovian switching CVNNs with missing measurements and mode-dependent delays
A combined neural network approach for texture classification
Video domain adaptation for semantic segmentation using perceptual consistency matching
GoFormer: A GoLPP inspired transformer for functional brain graph learning and classification
Computational epidemiology study of homeostatic compensation during sensorimotor aging
Efficient architecture for deep neural networks with heterogeneous sensitivity
Towards generalizable face forgery detection via mitigating spurious correlation
Deep learning approach for unified recognition of driver speed and lateral intentions using naturalistic driving data
Learning to generate articulated behavior through the bottom-up and the top-down interaction processes
Multistability analysis of delayed recurrent neural networks with a class of piecewise nonlinear activation functions
Learning expectation in insects: A recurrent spiking neural model for spatio-temporal representation
Introduction for 2002 Special Issue: Computational Models of Neuromodulation
Problem-intrinsic bounds on sample complexity
Hierarchical Attention Master-Slave for heterogeneous multi-agent reinforcement learning
A novel span and syntax enhanced large language model based framework for fine-grained sentiment analysis
TSOM: Small object motion detection neural network inspired by avian visual circuit
Strongly diluted networks with selfinteraction
Design and independent training of composable and reusable neural modules
Lower dimensional kernels for video discriminators
Artificial convolution neural network for medical image pattern recognition
An efficient MDL-based construction of RBF networks
Fast DCNN based on FWT, intelligent dropout and layer skipping for image retrieval
Imitation and memory in language origins
Communication-efficient distributed cubic Newton with compressed lazy Hessian
Wasserstein task embedding for measuring task similarities
Task augmentation via channel mixture for few-task meta-learning
Deeply-learnt damped least-squares (DL-DLS) method for inverse kinematics of snake-like robots
Stochastic linear learning: Exact test and training error averages
Weakly supervised temporal action localization with actionness-guided false positive suppression
Self-supervised brain lesion generation for effective data augmentation of medical images
A recurrent neural network for solving a class of generalized convex optimization problems
Understanding and mitigating dimensional collapse of Graph Contrastive Learning: A non-maximum removal approach
Multineuronal vectorization is more efficient than time-segmental vectorization for information extraction from neuronal activities in the inferior temporal cortex
On the piecewise analysis of networks of linear threshold neurons
The invisible hand algorithm: Solving the assignment problem with statistical physics
Disentangled latent energy-based style translation: An image-level structural MRI harmonization framework
Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors
Multi-teacher knowledge distillation based on joint Guidance of Probe and Adaptive Corrector
CMFX: Cross-modal fusion network for RGB-X crowd counting
Methodology based on spiking neural networks for univariate time-series forecasting
PerCNet: Periodic complete representation for crystal graphs
Increased effectiveness of learning by local neural feedback
Independent component analysis for artefact separation in astrophysical images
Probabilistic generative modeling and reinforcement learning extract the intrinsic features of animal behavior
Quality-diversity based semi-autonomous teleoperation using reinforcement learning
Exploring personalization via federated representation Learning on non-IID data
Integrating neural networks with image pyramids to learn target context
Graph construction using adaptive Local Hybrid Coding scheme
State transition learning with limited data for safe control of switched nonlinear systems
Online lifelong optimal tracking control of uncertain nonlinear continuous-time strict-feedback systems using deep neural networks
Switching pinning control for memristive neural networks system with Markovian switching topologies
A comment on "Relaxed conditions for radial-basis function networks to be universal approximators"
The fuzzy cube and causal efficacy: representation of concomitant mechanisms in stroke
On Temporal Generalization of Simple Recurrent Networks
Simple randomized algorithms for online learning with kernels
Novel stability of cellular neural networks with interval time-varying delay
The No-Prop algorithm: A new learning algorithm for multilayer neural networks
Performance of biologically grounded models of the early visual system on standard object recognition tasks
An adversarial transformer for anomalous lamb wave pattern detection
Enhancing Recommender Systems through Imputation and Social-Aware Graph Convolutional Neural Network
Long-term time series prediction using OP-ELM
Mathematical expression exploration with graph representation and generative graph neural network
Bidirectional transition consistency between multi-domain observations for visual reinforcement learning generalization
Regular expressions for decoding of neural network outputs
Capturing human data in a letter counting task: Accessibility and action-centeredness in representing cognitive skills
Filter pruning for convolutional neural networks in semantic image segmentation
A neural network approach for implementing expert systems
ChatDiff: A ChatGPT-based diffusion model for long-tailed classification
SASD-MCL: Semi-supervised alignment self-distillation with mixed contrastive learning for cross-subject EEG emotion recognition
Distant supervision for neural relation extraction integrated with word attention and property features
CeCR: Cross-entropy contrastive replay for online class-incremental continual learning
Effect of hybrid circle reservoir injected with wavelet-neurons on performance of echo state network
Temperature guided network for 3D joint segmentation of the pancreas and tumors
Fast ramp fraction loss SVM classifier with low computational complexity for pattern classification
An informative dual ForkNet for video anomaly detection
An analog neural network to solve the hamiltonian cycle problem
Prospective control of manual interceptive actions: comparative simulations of extant and new model constructs
A learning algorithm for multilayered neural networks based on linear least squares problems
Generating photo-realistic training data to improve face recognition accuracy
Application of neural networks to fuzzy control
A neural network system with an automatic generation mechanism for distorted patterns
Feature relocation network for fine-grained image classification
VLExpan: A visual-enhanced LLM framework with inductive and deductive policies for entity set expansion
A single network adaptive critic (SNAC) architecture for optimal control synthesis for a class of nonlinear systems
An optimal time interval of input spikes involved in synaptic adjustment of spike sequence learning
Solution to the inverse problem of estimating gap-junctional and inhibitory conductance in inferior olive neurons from spike trains by network model simulation
DeepART: Deep gradient-free local learning with adaptive resonance
DP2Unlearning: An efficient and guaranteed unlearning framework for LLMs
Pattern Categorization and Generalization with a Virtual Neuromolecular Architecture
An incremental neural network with a reduced architecture
Transductive LSTM for time-series prediction: An application to weather forecasting
Lag H∞ synchronization of coupled neural networks with multiple state couplings and multiple delayed state couplings
Neurons the decision makers, Part I: The firing function of a single neuron
An algorithm for pattern recognition with VLSI neural networks
Stability of delayed neural networks with time-varying impulses
Hunting for the unknown: Open world object detection from a class-agnostic perspective
Neural mappings and space-variant image processing
Discriminative clustering via extreme learning machine
ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decomposition
Criteria for choosing connectionist paradigms for real-time data fusion and adaptive discrimination
Signal estimation and denoising using VC-theory
Addressing implicit bias in adversarial imitation learning with mutual information
A survey of low-bit large language models: Basics, systems, and algorithms
LaTP: LiDAR-aided multimodal token pruning for efficient trajectory prediction of autonomous driving
The importance of recurrent top-down synaptic connections for the anticipation of dynamic emotions
Hierarchical Knowledge Propagation and Distillation for Few-Shot Learning
UKF-based remote state estimation for discrete artificial neural networks with communication bandwidth constraints
Practical synchronization of neural networks with delayed impulses and external disturbance via hybrid control
Noise-enhanced clustering and competitive learning algorithms
Stochastic modeling of microcavity laser-based photonic reservoir computing: An information processing capacity perspective
A novel approach to enhancing biomedical signal recognition via hybrid high-order information bottleneck driven spiking neural networks
User emotion for modeling retweeting behaviors
Learning persistent dynamics with neural networks
Goal-directed control and its antipodes
Reader studies for validation of CAD systems
On the Hopfield Neural Networks and Mean Field Theory
GTIGNet: Global Topology Interaction Graphormer Network for 3D hand pose estimation
Learning layered ranking functions with structured support vector machines
A novel extended kernel recursive least squares algorithm
A generalized Hebbian rule for activity-dependent synaptic modifications
A feedforward neural network with function shape autotuning
Speaker recognition using kohonen's self-organizing feature map algorithm
BARTMAP: A viable structure for biclustering
Modeling the electrical field created by mass neural activity
ELM embedded discriminative dictionary learning for image classification
GeoScatt-GNN: A geometric scattering transform-based graph neural network model for Ames mutagenicity prediction
Prototype-based sample-weighted distillation unified framework adapted to missing modality sentiment analysis
Optimization and applications of echo state networks with leaky- integrator neurons
Event-based distributed cooperative neural learning control for nonlinear multiagent systems with time-varying output constraints
SecBERT: Privacy-preserving pre-training based neural network inference system