Named Entity Recognition in Indian court judgments


Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach


Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data


Named Entity Recognition without Labelled Data: A Weak Supervision Approach


Named entity recognition architecture combining contextual and global features


NamedCurves: Learned Image Enhancement via Color Naming


Nancy: An efficient parallel Network Calculus library


Nano-ESG: Extracting Corporate Sustainability Information from News Articles


Nano-scale imaging of the full strain tensor of specific dislocations extracted from a bulk sample


Nano-scale magnetic skyrmions and target states in confined geometries


Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control


NanoFrame: A web-based DNA wireframe design tool for 3D structures


NanoMap: Fast, Uncertainty-Aware Proximity Queries with Lazy Search over Local 3D Data


NanoNET: an extendable Python framework for semi-empirical tight-binding models


Nanoindentation in multi-modal map combinations: A Correlative Approach to Local Mechanical Property Assessment


Nanoindentation simulations for copper and tungsten with adaptive-precision potentials


Nanophotonic resonance modes with the nanobem toolbox


Nanopublication-Based Semantic Publishing and Reviewing: A Field Study with Formalization Papers


Nanosecond-precision Time-of-Arrival Estimation for Aircraft Signals with low-cost SDR Receivers


NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization


NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images


NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization


Narrative Action Evaluation with Prompt-Guided Multimodal Interaction


Narrative Cartography with Knowledge Graphs


Narrative Feature or Structured Feature? A Study of Large Language Models to Identify Cancer Patients at Risk of Heart Failure


Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models


Narrative Studio: Visual narrative exploration using LLMs and Monte Carlo Tree Search


Narrative Text Generation with a Latent Discrete Plan


Narrative Trails: A Method for Coherent Storyline Extraction via Maximum Capacity Path Optimization


Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives


NarrativeXL: A Large-scale Dataset For Long-Term Memory Models


Narratives at Conflict: Computational Analysis of News Framing in Multilingual Disinformation Campaigns


Narratives of Collective Action in YouTube's Discourse on Veganism


Narrow bands in magnetic field and strong-coupling Hofstadter spectra


Narrow-Line Seyfert 1 Galaxies Beyond the Local X-ray Universe: An X-ray spectral sample


NarrowBERT: Accelerating Masked Language Model Pretraining and Inference


Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model


Narrowing the Gap between Vision and Action in Navigation


Narrowing the Gap: Improved Detector Training with Noisy Location Annotations


Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation


Narrowing your FOV with SOLiD: Spatially Organized and Lightweight Global Descriptor for FOV-constrained LiDAR Place Recognition


Nasal Patches and Curves for Expression-robust 3D Face Recognition


Nash CoT: Multi-Path Inference with Preference Equilibrium


Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions


Nash Equilibria, Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization


NashAE: Disentangling Representations through Adversarial Covariance Minimization


NatLan: Native Language Prompting Facilitates Knowledge Elicitation Through Language Trigger Provision and Domain Trigger Retention


NatSGLD: A Dataset with Speech, Gesture, Logic, and Demonstration for Robot Learning in Natural Human-Robot Interaction


Natias: Neuron Attribution based Transferable Image Adversarial Steganography


Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance


Native Execution of GraphQL Queries over RDF Graphs Using Multi-way Joins


Native Implementation of Mutable Value Semantics


Native Language Cognate Effects on Second Language Lexical Choice


Native state of natural proteins optimises local entropy


Natural Attack for Pre-trained Models of Code


Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks


Natural Counterfactuals With Necessary Backtracking


Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams


Natural Evolution Strategy for Mixed-Integer Black-Box Optimization


Natural GaLore: Accelerating GaLore for memory-efficient LLM Training and Fine-tuning


Natural Gradient Hybrid Variational Inference with Application to Deep Mixed Models


Natural Gradient Variational Bayes without Fisher Matrix Analytic Calculation and Its Inversion


Natural Graph Wavelet Packet Dictionaries


Natural Image Matting via Guided Contextual Attention


Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models


Natural Langevin Dynamics for Neural Networks


Natural Language Adversarial Defense through Synonym Encoding


Natural Language Counterfactual Explanations for Graphs Using Large Language Models


Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models


Natural Language Decompositions of Implicit Content Enable Better Text Representations


Natural Language Deduction with Incomplete Information


Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning


Natural Language Generation Using Reinforcement Learning with External Rewards


Natural Language Generation for Electronic Health Records


Natural Language Induced Adversarial Images


Natural Language Inference Prompts for Zero-shot Emotion Classification in Text across Corpora


Natural Language Inference in Context -- Investigating Contextual Reasoning over Long Texts


Natural Language Inference over Interaction Space


Natural Language Inference with Mixed Effects


Natural Language Premise Selection: Finding Supporting Statements for Mathematical Text


Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Survey


Natural Language Processing for Human Resources: A Survey


Natural Language Processing for Requirements Formalization: How to Derive New Approaches?


Natural Language Processing in Ethiopian Languages: Current State, Challenges, and Opportunities


Natural Language Processing of Aviation Occurrence Reports for Safety Management


Natural Language Processing tools for Pharmaceutical Manufacturing Information Extraction from Patents


Natural Language Processing with Commonsense Knowledge: A Survey


Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs


Natural Language Requirements Testability Measurement Based on Requirement Smells


Natural Language Understanding with Distributed Representation


Natural Language Video Localization with Learnable Moment Proposals


Natural Language to Code Translation with Execution


Natural Language-Assisted Multi-modal Medication Recommendation


Natural Language-Based Synthetic Data Generation for Cluster Analysis


Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions


Natural Reference Frames within Video Analysis


Natural Response Generation for Chinese Reading Comprehension


Natural SQL: Making SQL Easier to Infer from Natural Language Specifications


Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization


Natural Way to Overcome the Catastrophic Forgetting in Neural Networks


Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination


Natural continual learning: success is a journey, not (just) a destination


Natural dark matter and light bosons with an alternative left-right symmetry


Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation


Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy


Natural language understanding for logical games


Natural scene reconstruction from fMRI signals using generative latent diffusion


Natural-Language Multi-Agent Simulations of Argumentative Opinion Dynamics


Natural-Parameter Networks: A Class of Probabilistic Neural Networks


NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency


NaturalProofs: Mathematical Theorem Proving in Natural Language


NaturalProver: Grounded Mathematical Proof Generation with Language Models


Naturalistic Causal Probing for Morpho-Syntax


Naturalization of Text by the Insertion of Pauses and Filler Words


Naturalizing a Programming Language via Interactive Learning


Naturally Computed Scale Invariance in the Residual Stream of ResNet18


Naturally-meaningful and efficient descriptors: machine learning of material properties based on robust one-shot ab initio descriptors


Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience


Nature-Inspired Population-Based Evolution of Large Language Models


Nautilus: A Framework for Cross-Layer Cartography of Submarine Cables and IP Links


Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars


NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning


NavDreams: Towards Camera-Only RL Navigation Among Humans


NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models


NavHint: Vision and Language Navigation Agent with a Hint Generator


NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM


NavRL: Learning Safe Flight in Dynamic Environments


NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments


Navi2Gaze: Leveraging Foundation Models for Navigation and Target Gazing


NaviAirway: a Bronchiole-sensitive Deep Learning-based Airway Segmentation Pipeline


NaviDiffusor: Cost-Guided Diffusion Model for Visual Navigation


NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation


NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation


Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future


Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework


Navigating Beyond Instructions: Vision-and-Language Navigation in Obstructed Environments


Navigating Challenges in Spatio-temporal Modelling of Antarctic Krill Abundance: Addressing Zero-inflated Data and Misaligned Covariates


Navigating Chemical Space with Latent Flows


Navigating Chemical-Linguistic Sharing Space with Heterogeneous Molecular Encoding


Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching


Navigating Connected Memories with a Task-oriented Dialog System


Navigating Cookie Consent Violations Across the Globe


Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image Models


Navigating Data Corruption in Machine Learning: Balancing Quality, Quantity, and Imputation Strategies


Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection


Navigating Data Scarcity using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in Medical Imaging


Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on Hugging Face


Navigating Eukaryotic Genome Annotation Pipelines: A Route Map to BRAKER, Galba, and TSEBRA


Navigating Explanatory Multiverse Through Counterfactual Path Geometry


Navigating Extremes: Dynamic Sparsity in Large Output Space


Navigating Label Ambiguity for Facial Expression Recognition in the Wild


Navigating Local Minima in Quantized Spiking Neural Networks


Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning


Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks


Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models


Navigating Nuance: In Quest for Political Truth


Navigating Open Set Scenarios for Skeleton-based Action Recognition


Navigating PESQ: Up-to-Date Versions and Open Implementations


Navigating Polytopes with Safety: A Control Barrier Function Approach


Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning


Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecasting


Navigating Trade-offs: Policy Summarization for Multi-Objective Reinforcement Learning


Navigating Uncertainty: The Role of Short-Term Trajectory Prediction in Autonomous Vehicle Safety


Navigating phase diagram complexity to guide robotic inorganic materials synthesis


Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models


Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents


Navigating the Effect of Parametrization for Dimensionality Reduction


Navigating the Fragrance space Via Graph Generative Models And Predicting Odors


Navigating the GAN Parameter Space for Semantic Image Editing


Navigating the Human Maze: Real-Time Robot Pathfinding with Generative Imitation Learning


Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and Fine-Tuning Strategies


Navigating the Landscape of Reproducible Research: A Predictive Modeling Approach


Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics


Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series


Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies


Navigating the Noise: Bringing Clarity to ML Parameterization Design with O(100) Ensembles


Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment


Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models


Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors


Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models


Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation


Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments


Navigation Instruction Generation with BEV Perception and Large Language Models


Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation


Navigation Variable-based Multi-objective Particle Swarm Optimization for UAV Path Planning with Kinematic Constraints


Navigation services amplify concentration of traffic and emissions in our cities


Navigation without localisation: reliable teach and repeat based on the convergence theorem


NbBench: Benchmarking Language Models for Comprehensive Nanobody Tasks


Ncorpi$\mathcal{O}$N : A $\mathcal{O}(N)$ software for N-body integration in collisional and fragmenting systems


NeAF: Learning Neural Angle Fields for Point Normal Estimation


NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-view Images


NeAT: Neural Artistic Tracing for Beautiful Style Transfer


NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation


NeCGS: Neural Compression for 3D Geometry Sets


NeFII: Inverse Rendering for Reflectance Decomposition with Near-Field Indirect Illumination


NeFSAC: Neurally Filtered Minimal Samples


NeLLCom-X: A Comprehensive Neural-Agent Framework to Simulate Language Learning and Group Communication


NeMF: Inverse Volume Rendering with Neural Microflake Field


NeMig -- A Bilingual News Collection and Knowledge Graph about Migration


NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails


NeMo Inverse Text Normalization: From Development To Production


NeMo-Inspector: A Visualization Tool for LLM Generation Analysis


NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action


NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation


NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes


NeRD: Neural Reflectance Decomposition from Image Collections


NeRF Director: Revisiting View Selection in Neural Volume Rendering


NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild


NeRF applied to satellite imagery for surface reconstruction


NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images


NeRF-Accelerated Ecological Monitoring in Mixed-Evergreen Redwood Forest


NeRF-Art: Text-Driven Neural Radiance Fields Stylization


NeRF-CA: Dynamic Reconstruction of X-ray Coronary Angiography with Extremely Sparse-views


NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects


NeRF-Det++: Incorporating Semantic Cues and Perspective-aware Depth Supervision for Indoor Multi-View 3D Detection


NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection


NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions


NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping


NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields


NeRF-Loc: Visual Localization with Conditional Neural Radiance Field


NeRF-NQA: No-Reference Quality Assessment for Scenes Generated by NeRF and Neural View Synthesis Methods


NeRF-RPN: A general framework for object detection in NeRFs


NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes


NeRF-SR: High-Quality Neural Radiance Fields using Supersampling


NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning


NeRF-based CBCT Reconstruction needs Normalization and Initialization


NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows


NeRFFaceEditing: Disentangled Face Editing in Neural Radiance Fields


NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination


NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering


NeRFocus: Neural Radiance Field for 3D Synthetic Defocus


NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations


NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives


NeRFtrinsic Four: An End-To-End Trainable NeRF Jointly Optimizing Diverse Intrinsic and Extrinsic Camera Parameters


NeRFuser: Large-Scale Scene Representation by NeRF Fusion


NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction


NeRN -- Learning Neural Representations for Neural Networks


NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images


NeRO: Neural Road Surface Reconstruction


NeROIC: Neural Rendering of Objects from Online Image Collections


NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction


NeRRF: 3D Reconstruction and View Synthesis for Transparent and Specular Objects with Neural Refractive-Reflective Fields


NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild


NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems


NeSLAM: Neural Implicit Mapping and Self-Supervised Feature Tracking With Depth Completion and Denoising


NeSy is alive and well: A LLM-driven symbolic approach for better code comment data generation and classification


NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization


NeSyFOLD: Neurosymbolic Framework for Interpretable Image Classification


NeU-NBV: Next Best View Planning Using Uncertainty Estimation in Image-Based Neural Rendering


NeUQI: Near-Optimal Uniform Quantization Parameter Initialization


NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation


NeX: Real-time View Synthesis with Neural Basis Expansion


NeXt-TDNN: Modernizing Multi-Scale Temporal Convolution Backbone for Speaker Verification


Near Field Localization via AI-Aided Subspace Methods


Near Lossless Time Series Data Compression Methods using Statistics and Deviation


Near Optimal Behavior via Approximate State Abstraction


Near Real-Time Data Labeling Using a Depth Sensor for EMG Based Prosthetic Arms


Near field Acoustic Holography on arbitrary shapes using Convolutional Neural Network


Near out-of-distribution detection for low-resolution radar micro-Doppler signatures


Near real-time streaming analysis of big fusion data


Near zero-energy Caroli-de Gennes-Matricon vortex states in the presence of impurities


Near-Capacity Detection and Decoding: Code Design for Dynamic User Loads in Gaussian Multiple Access Channels


Near-Exact Nuclear Gradients of Complete Active Space Self-Consistent Field Wave Functions


Near-Field Cosmology with the Lowest-Mass Galaxies


Near-Field Velocity Sensing and Predictive Beamforming


Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization


Near-Linear Scaling Data Parallel Training with Overlapping-Aware Gradient Compression


Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets


Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization


Near-Optimal Approximations for Bayesian Inference in Function Space


Near-Optimal Coded Apertures for Imaging via Nazarov's Theorem


Near-Optimal Collaborative Learning in Bandits


Near-Optimal Confidence Sequences for Bounded Random Variables


Near-Optimal Coverage Path Planning with Turn Costs


Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems


Near-Optimal Fingerprinting with Constraints


Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond


Near-Optimal Multi-Agent Learning for Safe Coverage Control


Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning


Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations


Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form


Near-Optimal Privacy-Utility Tradeoff in Genomic Studies Using Selective SNP Hiding


Near-Optimal Procedures for Model Discrimination with Non-Disclosure Properties


Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits


Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers


Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design


Near-Optimal Sparse Allreduce for Distributed Deep Learning


Near-Polynomially Competitive Active Logistic Regression


Near-Term Quantum Spin Simulation of the Spin-$\frac{1}{2}$ Square $J_{1}-J_{2}$ Heisenberg Model


Near-circular orbits for planets around M/K-type stars with Earth-like sizes and instellations


Near-field Localization with a Reconfigurable Intelligent Surface Acting as Lens


Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding


Near-inertial echoes of ageostrophic instability in submesoscale filaments


Near-lossless Binarization of Word Embeddings


Near-optimal Closed-loop Method via Lyapunov Damping for Convex Optimization


Near-optimal Deep Reinforcement Learning Policies from Data for Zone Temperature Control


Near-optimal Individualized Treatment Recommendations


Near-optimal control of dynamical systems with neural ordinary differential equations


Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control


Near-optimal quantum circuit construction via Cartan decomposition


Near-real-time design of experiments for seismic monitoring of volcanoes


Near-wall model for compressible turbulent boundary layers based on an inverse velocity transformation


NearbyPatchCL: Leveraging Nearby Patches for Self-Supervised Patch-Level Multi-Class Classification in Whole-Slide Images


Nearest Neighbor Classification based on Imbalanced Data: A Statistical Approach


Nearest Neighbor Classifier with Margin Penalty for Active Learning


Nearest Neighbor Guidance for Out-of-Distribution Detection


Nearest Neighbor Knowledge Distillation for Neural Machine Translation


Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer


Nearest Neighbor Median Shift Clustering for Binary Data


Nearest Neighbor Normalization Improves Multimodal Retrieval


Nearest Neighbor Search over Vectorized Lexico-Syntactic Patterns for Relation Extraction from Financial Documents


Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification


Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation


Nearest Neighbors GParareal: Improving Scalability of Gaussian Processes for Parallel-in-Time Solvers


Nearest Neighbour Equilibrium Clustering


Nearest Neighbour Score Estimators for Diffusion Generative Models


Nearest is Not Dearest: Towards Practical Defense against Quantization-conditioned Backdoor Attacks


Nearest neighbor density functional estimation from inverse Laplace transform


Nearest neighbor permutation entropy detects phase transitions in complex high-pressure systems


Nearest neighbour approaches for Emotion Detection in Tweets


Nearest-Neighbor Queries in Customizable Contraction Hierarchies and Applications


Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering


Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression


Nearly Optimal Latent State Decoding in Block MDPs


Nearly Optimal Steiner Trees using Graph Neural Network Assisted Monte Carlo Tree Search


Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport


Nearly constant Q dissipative models and wave equations for general viscoelastic anisotropy


Nearly constant Q models of the generalized standard linear solid type and the corresponding wave equations


Nearly minimax empirical Bayesian prediction of independent Poisson observables


Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs


Nearness of Neighbors Attention for Regression in Supervised Finetuning


Nearshore Underwater Target Detection Meets UAV-borne Hyperspectral Remote Sensing: A Novel Hybrid-level Contrastive Learning Framework and Benchmark Dataset


Necessary and Sufficient Conditions for Existence and Uniqueness of Recursive Utilities


Necessary and sufficient conditions for multiple objective optimal regression designs


Need for Speed: A Comprehensive Benchmark of JPEG Decoders in Python


Need is All You Need: Homeostatic Neural Networks Adapt to Concept Shift


Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMs


Needle Segmentation Using GAN: Restoring Thin Instrument Visibility in Robotic Ultrasound


Needle guidance with Doppler-tracked polarization-sensitive optical coherence tomography


Needle in a Bayes Stack: a Hierarchical Bayesian Method for Constraining the Neutron Star Equation of State with an Ensemble of Binary Neutron Star Post-merger Remnants


Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization


Needles in Haystacks: On Classifying Tiny Objects in Large Images


Needs-driven Heterogeneous Multi-Robot Cooperation in Rescue Missions


Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent


NegMerge: Consensual Weight Negation for Strong Machine Unlearning


NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases


Negated Complementary Commonsense using Large Language Models


Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly


Negation Triplet Extraction with Syntactic Dependency and Semantic Consistency


Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods


Negation-Instance Based Evaluation of End-to-End Negation Resolution


Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification


Negative Control Falsification Tests for Instrumental Variable Designs


Negative Evidence Matters in Interpretable Histology Image Classification


Negative Feedback Training: A Novel Concept to Improve Robustness of NVCIM DNN Accelerators


Negative Flux Aggregation to Estimate Feature Attributions


Negative Lags on the Viscous Timescale in Quasar Photometry and Prospects for Detecting More with LSST


Negative Margin Matters: Understanding Margin in Few-shot Classification


Negative Momentum for Improved Game Dynamics


Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding


Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval


Negative Sampling Improves Hypernymy Extraction Based on Projection Learning


Negative Sampling with Adaptive Denoising Mixup for Knowledge Graph Embedding


Negative Ties Highlight Hidden Extremes in Social Media Polarization


Negative Training for Neural Dialogue Response Generation


Negative impact of heavy-tailed uncertainty and error distributions on the reliability of calibration statistics for machine learning regression tasks


Negative to Positive Co-learning with Aggressive Modality Dropout


Negative-Free Self-Supervised Gaussian Embedding of Graphs


NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli


Negativity Spreads Faster: A Large-Scale Multilingual Twitter Analysis on the Role of Sentiment in Political Communication


Neglected Free Lunch -- Learning Image Classifiers Using Annotation Byproducts


Neglecting Uncertainties Biases House-Elevation Decisions to Manage Riverine Flood Risks


Negligible effect of brain MRI data preprocessing for tumor segmentation


Negotiated Representations for Machine Mearning Application


Negotiated Representations to Prevent Forgetting in Machine Learning Applications


NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding


Neighbor Contrastive Learning on Learnable Graph Augmentation


Neighbor displacement-based enhanced synthetic oversampling for multiclass imbalanced data


Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences


NeighborRetr: Balancing Hub Centrality in Cross-Modal Retrieval


NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets


Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction


Neighborhood Attention Transformer with Progressive Channel Fusion for Speaker Verification


Neighborhood Collective Estimation for Noisy Label Identification and Correction


Neighborhood Contrastive Learning Applied to Online Patient Monitoring


Neighborhood Contrastive Learning for Novel Class Discovery


Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings


Neighborhood Contrastive Transformer for Change Captioning


Neighborhood Gradient Clustering: An Efficient Decentralized Learning Method for Non-IID Data Distributions


Neighborhood Matching Network for Entity Alignment


Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks


Neighborhood Structure Configuration Models


Neighborhood-Order Learning Graph Attention Network for Fake News Detection


Neighborhood-Regularized Self-Training for Learning with Few Labels


Neighborhood-aware Scalable Temporal Network Representation Learning


Neighborhood-based Hard Negative Mining for Sequential Recommendation


Neighborhood-based Hypergraph Core Decomposition


Neighboring Autoregressive Modeling for Efficient Visual Generation


Neighboring Perturbations of Knowledge Editing on Large Language Models


Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints


Neighbors Map: an Efficient Atomic Descriptor for Structural Analysis


Neighbourhood-Insensitive Point Cloud Normal Estimation Network


Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy


Neko: a Library for Exploring Neuromorphic Learning Rules


Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy


Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models


Nemo: First Glimpse of a New Rule Engine


Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming


Nengo and low-power AI hardware for robust, embedded neurorobotics


NengoDL: Combining deep learning and neuromorphic modelling methods


Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction


Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels


NeoBabel: A Multilingual Open Tower for Visual Generation


NeoLightning: A Modern Reimagination of Gesture-Based Sound Design


NeoQA: Evidence-based Question Answering with Generated News Events


NeoRS: a neonatal resting state fMRI data preprocessing pipeline


Neonatal EEG graded for severity of background abnormalities in hypoxic-ischaemic encephalopathy


NerVE: Neural Volumetric Edges for Parametric Curve Extraction from Point Cloud


NerfBridge: Bringing Real-time, Online Neural Radiance Field Training to Robotics


Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs


Nerfies: Deformable Neural Radiance Fields


NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo


Nerva: a Truly Sparse Implementation of Neural Networks


NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models


Nest-DGIL: Nesterov-optimized Deep Geometric Incremental Learning for CS Image Reconstruction


NestFuse: An Infrared and Visible Image Fusion Architecture based on Nest Connection and Spatial/Channel Attention Models


NestQuant: Post-Training Integer-Nesting Quantization for On-Device DNN


Nested $\hat R$: Assessing the convergence of Markov chain Monte Carlo when running many short chains


Nested Diffusion Processes for Anytime Image Generation


Nested Event Extraction upon Pivot Element Recogniton


Nested Expectations with Kernel Quadrature


Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars


Nested Grassmannians for Dimensionality Reduction with Applications


Nested Music Transformer: Sequentially Decoding Compound Tokens in Symbolic Music and Audio Generation


Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing


Nested Named Entity Recognition with Partially-Observed TreeCRFs


Nested Papercrafts for Anatomical and Biological Edutainment


Nested Sampling for Non-Gaussian Inference in SLAM Factor Graphs


Nested Sampling with Normalising Flows for Gravitational-Wave Inference


Nested Variational Autoencoder for Topic Modeling on Microtexts with Word Vectors


Nested sampling cross-checks using order statistics


Nested sampling for frequentist computation: fast estimation of small $p$-values


NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation


NestedMorph: Enhancing Deformable Medical Image Registration with Nested Attention Mechanisms


Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks


Nesterov Accelerated Shuffling Gradient Method for Convex Optimization


Nesterov Method for Asynchronous Pipeline Parallel Optimization


Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks


Nesting Particle Filters for Experimental Design in Dynamical Systems


Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare


Net2Brain: A Toolbox to compare artificial vision models with human brain responses


Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks


Net2Vis -- A Visual Grammar for Automatically Generating Publication-Tailored CNN Architecture Visualizations


NetAurHPD: Network Auralization Hyperlink Prediction Model to Identify Metabolic Pathways from Metabolomics Data


NetBench: A Large-Scale and Comprehensive Network Traffic Benchmark Dataset for Foundation Models


NetDPSyn: Synthesizing Network Traces under Differential Privacy


NetDiffus: Network Traffic Generation by Diffusion Models through Time-Series Imaging


NetEffect: Discovery and Exploitation of Generalized Network Effects


NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data


NetGPT: Generative Pretrained Transformer for Network Traffic


NetInfoF Framework: Measuring and Exploiting Network Usable Information


NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional Mamba


NetNN: Neural Intrusion Detection System in Programmable Networks


NetPress: Dynamically Generated LLM Benchmarks for Network Applications


NetQASM -- A low-level instruction set architecture for hybrid quantum-classical programs in a quantum internet


NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving


NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization


NetTAG: A Multimodal RTL-and-Layout-Aligned Netlist Foundation Model via Text-Attributed Graph


NetTailor: Tuning the Architecture, Not Just the Weights


NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic Classification


Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio


Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation


Network Bending of Diffusion Models for Audio-Visual Generation


Network Bending: Expressive Manipulation of Deep Generative Models


Network Binarization via Contrastive Learning


Network Cards: concise, readable summaries of network data


Network Classification Based Structural Analysis of Real Networks and their Model-Generated Counterparts


Network Coding: An Optimization Approach


Network Collaborator: Knowledge Transfer Between Network Reconstruction and Community Detection


Network Contention-Aware Cluster Scheduling with Reinforcement Learning


Network Cross-Validation and Model Selection via Subsampling


Network Decoupling: From Regular to Depthwise Separable Convolutions


Network Deployment for Maximal Energy Efficiency in Uplink with Multislope Path Loss


Network Diffusion -- Framework to Simulate Spreading Processes in Complex Networks


Network Diffusions via Neural Mean-Field Dynamics


Network Disruption via Continuous Batch Removal: The Case of Sicilian Mafia


Network Embedding Exploration Tool (NEExT)


Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec


Network Emulation in Large-Scale Virtual Edge Testbeds: A Note of Caution and the Way Forward


Network Error Logging: HTTP Archive Analysis


Network Fission Ensembles for Low-Cost Self-Ensembles


Network Formation and Dynamics Among Multi-LLMs


Network Inpainting via Optimal Transport


Network Intrusion Datasets: A Survey, Limitations, and Recommendations


Network Layout Algorithm with Covariate Smoothing


Network Learning Approaches to study World Happiness


Network Level Spatial Temporal Traffic State Forecasting with Hierarchical Attention LSTM (HierAttnLSTM)


Network Meta-Analysis of Time-to-Event Endpoints with Individual Participant Data using Restricted Mean Survival Time Regression


Network Models of Expertise in the Complex Task of Operating Particle Accelerators


Network Modularity Controls the Speed of Information Diffusion


Network Pruning That Matters: A Case Study on Retraining Variants


Network Pruning using Adaptive Exemplar Filters


Network Pruning via Feature Shift Minimization


Network Quantization with Element-wise Gradient Scaling


Network Recovery from Unlabeled Noisy Samples


Network Regression with Graph Laplacians


Network Representation Learning: Consolidation and Renewed Bearing


Network Representation of Higher-Order Interactions Based on Information Dynamics


Network Risk Estimation: A Risk Estimation Paradigm for Cyber Networks


Network Simulator-centric Compositional Testing


Network Structural Dependency in the Human Connectome Across the Life-Span


Network Structural Equation Models for Causal Mediation and Spillover Effects


Network Structure shapes the Impact of Diversity in Collective Learning


Network Thermodynamical Modelling of Bioelectrical Systems: A Bond Graph Approach


Network Traffic Classification based on Single Flow Time Series Analysis


Network analysis using Forman curvature and Shapley values on hypergraphs


Network classification with applications to brain connectomics


Network clique cover approximation to analyze complex contagions through group interactions


Network community detection and clustering with random walks


Network community-based model reduction for vortical flows


Network comparison and the within-ensemble graph distance


Network connectivity dynamics affect the evolution of culturally transmitted variants


Network constraints on the mixing patterns of binary node metadata


Network control by a constrained external agent as a continuous optimization problem


Network inference via approximate Bayesian computation. Illustration on a stochastic multi-population neural mass model


Network learning via multi-agent inverse transportation problems


Network localization strength regulates innovation diffusion with macro-level social influence


Network method for voxel-pair-level brain connectivity analysis under spatial-contiguity constraints


Network mutual information measures for graph similarity


Network reduction and absence of Hopf Bifurcations in dual phosphorylation networks with three Intermediates


Network structural perturbation against interlayer link prediction


Network structure of cascading neural systems predicts stimulus propagation and recovery


Network transferability of adversarial patches in real-time object detection


Network utility maximization by updating individual transmission rates


Network-Adjusted Covariates for Community Detection


Network-Aware Flexibility Requests for Distribution-Level Flexibility Markets


Network-Level Adversaries in Federated Learning


Network-assisted collective operations for efficient distributed quantum computing


Network-based link prediction of scientific concepts -- a Science4Cast competition entry


Network-centric indicators for fragility in global financial indices


Network-induced multistability: Lossy coupling and exotic solitary states


Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance


Network-principled deep generative models for designing drug combinations as graph sets


Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach


Network-wide Multi-step Traffic Volume Prediction using Graph Convolutional Gated Recurrent Neural Network


NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation


Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction


Networked Restless Bandits with Positive Externalities


Networking Systems for Video Anomaly Detection: A Tutorial and Survey


Networks of Ethereum Non-Fungible Tokens: A graph-based analysis of the ERC-721 ecosystem


Networks of climate change: Connecting causes and consequences


Networks with pixels embedding: a method to improve noise resistance in images classification


NeuFA: Neural Network Based End-to-End Forced Alignment with Bidirectional Attention Mechanism


NeuFair: Neural Network Fairness Repair with Dropout


NeuFlow: Real-time, High-accuracy Optical Flow Estimation on Robots Using Edge Devices


NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks


NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors


NeuMC -- a package for neural sampling for lattice field theories


NeuMan: Neural Human Radiance Field from a Single Video


NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization


NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning


NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing


NeuPart: Using Analytical Models to Drive Energy-Efficient Partitioning of CNN Computations on Cloud-Connected Mobile Clients


NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions


NeuRI: Diversifying DNN Generation via Inductive Rule Inference


NeuRoRA: Neural Robust Rotation Averaging


NeuS-PIR: Learning Relightable Neural Surface using Pre-Integrated Rendering


NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction


NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias


NeuSpeech: Decode Neural signal as Speech


NeuSurfEmb: A Complete Pipeline for Dense Correspondence-based 6D Object Pose Estimation without CAD Models


NeuXus: A Biosignal Processing and Classification Pipeline for Real-Time Brain-Computer Interaction


NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks


Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms


Neur2SP: Neural Two-Stage Stochastic Programming


NeurASP: Embracing Neural Networks into Answer Set Programming


NeurBench: Benchmarking Learned Database Components with Data and Workload Drift Modeling


NeurCAM: Interpretable Neural Clustering via Additive Models


NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions


NeurIT: Pushing the Limit of Neural Inertial Tracking for Indoor Robotic IoT


NeurMiPs: Neural Mixture of Planar Experts for View Synthesis


NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation


NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion


NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL


NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator


NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training


Neural 3D Scene Reconstruction with the Manhattan-world Assumption


Neural 3D Video Synthesis from Multi-view Video


Neural Abstract Style Transfer for Chinese Traditional Painting


Neural Abstraction-Based Controller Synthesis and Deployment


Neural Active Learning on Heteroskedastic Distributions


Neural Additive Vector Autoregression Models for Causal Discovery in Time Series


Neural Algorithmic Reasoning for Combinatorial Optimisation


Neural Amortized Inference for Nested Multi-agent Reasoning


Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis


Neural Approximate Dynamic Programming for On-Demand Ride-Pooling


Neural Architecture Codesign for Fast Physics Applications


Neural Architecture Design for GPU-Efficient Networks


Neural Architecture Generator Optimization


Neural Architecture Search For LF-MMI Trained Time Delay Neural Networks


Neural Architecture Search as Program Transformation Exploration


Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction


Neural Architecture Search for Gliomas Segmentation on Multimodal Magnetic Resonance Imaging


Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge


Neural Architecture Search for Lightweight Non-Local Networks


Neural Architecture Search for Sentence Classification with BERT


Neural Architecture Search for Spiking Neural Networks


Neural Architecture Search for Visual Anomaly Segmentation


Neural Architecture Search in Graph Neural Networks


Neural Architecture Search of SPD Manifold Networks


Neural Architecture Search using Progressive Evolution


Neural Architecture Search via Two Constant Shared Weights Initialisations


Neural Architecture Search with Bayesian Optimisation and Optimal Transport


Neural Architecture Search with Random Labels


Neural Architecture Search without Training


Neural Architecture for Online Ensemble Continual Learning


Neural Architectures for Fine-grained Entity Type Classification


Neural Article Pair Modeling for Wikipedia Sub-article Matching


Neural Artistic Style Transfer with Conditional Adversaria


Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision


Neural Associative Memory for Dual-Sequence Modeling


Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel


Neural Attention Forests: Transformer-Based Forest Improvement


Neural Attention: Enhancing QKV Calculation in Self-Attention Mechanism with Neural Networks


Neural Attentive Session-based Recommendation


Neural Augmented Kalman Filtering with Bollinger Bands for Pairs Trading


Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input


Neural Bandits for Data Mining: Searching for Dangerous Polypharmacy


Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks


Neural Bayes estimators for censored inference with peaks-over-threshold models


Neural Bayes inference for complex bivariate extremal dependence models


Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning


Neural Blind Deconvolution Using Deep Priors


Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation


Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans


Neural Brain: A Neuroscience-inspired Framework for Embodied Agents


Neural CRF Model for Sentence Alignment in Text Simplification


Neural CRNs: A Natural Implementation of Learning in Chemical Reaction Networks


Neural Cages for Detail-Preserving 3D Deformations


Neural Canonical Transformation with Symplectic Flows


Neural Canonical Transformations for Quantum Anharmonic Solids of Lithium


Neural Capacity Estimators: How Reliable Are They?


Neural Causal Graph Collaborative Filtering


Neural Cellular Automata Can Respond to Signals


Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks


Neural Chinese Word Segmentation as Sequence to Sequence Translation


Neural Click Models for Recommender Systems


Neural Clinical Event Sequence Prediction through Personalized Online Adaptive Learning


Neural Closure Models for Dynamical Systems


Neural Clustering based Visual Representation Learning


Neural Co-Processors for Restoring Brain Function: Results from a Cortical Model of Grasping


Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent


Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set Condition


Neural Cognitive Diagnosis for Intelligent Education Systems


Neural Collaborative Filtering to Detect Anomalies in Human Semantic Trajectories


Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants


Neural Collapse in Multi-label Learning with Pick-all-label Loss


Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold


Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning


Neural Combinatorial Logic Circuit Synthesis from Input-Output Examples


Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives


Neural Combinatorial Optimization for Real-World Routing


Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems


Neural Common Neighbor with Completion for Link Prediction


Neural Component Analysis for Fault Detection


Neural Compositional Rule Learning for Knowledge Graph Reasoning


Neural Compound-Word (Sandhi) Generation and Splitting in Sanskrit Language


Neural Computation of Capacity Region of Memoryless Multiple Access Channels


Neural Configuration Distance Function for Continuum Robot Control


Neural Conformal Control for Time Series Forecasting


Neural Conservation Laws: A Divergence-Free Perspective


Neural Contact Fields: Tracking Extrinsic Contact with Tactile Sensing


Neural Context Flows for Meta-Learning of Dynamical Systems


Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series


Neural Contourlet Network for Monocular 360 Depth Estimation


Neural Contours: Learning to Draw Lines from 3D Shapes


Neural Control System for Continuous Glucose Monitoring and Maintenance


Neural Control: Concurrent System Identification and Control Learning with Neural ODE


Neural Controlled Differential Equations for Online Prediction Tasks


Neural Controlled Differential Equations with Quantum Hidden Evolutions


Neural Coreference Resolution for Arabic


Neural Correction Model for Open-Domain Named Entity Recognition


Neural Cross-Lingual Named Entity Recognition with Minimal Resources


Neural Cross-Lingual Transfer and Limited Annotated Data for Named Entity Recognition in Danish


Neural Crossbreed: Neural Based Image Metamorphosis


Neural DAEs: Constrained neural networks


Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies


Neural Data Augmentation via Example Extrapolation


Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification


Neural Decipherment via Minimum-Cost Flow: from Ugaritic to Linear B


Neural Decomposition: Functional ANOVA with Variational Autoencoders


Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging


Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction


Neural Degradation Representation Learning for All-In-One Image Restoration


Neural Dehydration: Effective Erasure of Black-box Watermarks from DNNs with Limited Data


Neural Descriptors: Self-Supervised Learning of Robust Local Surface Descriptors Using Polynomial Patches


Neural Dialogue State Tracking with Temporally Expressive Networks


Neural Diffeomorphic Non-uniform B-spline Flows


Neural Differential Appearance Equations


Neural Differential Recurrent Neural Network with Adaptive Time Steps


Neural Diffusion Model for Microscopic Cascade Prediction


Neural Discourse Structure for Text Categorization


Neural Disparity Refinement for Arbitrary Resolution Stereo


Neural Distance Embeddings for Biological Sequences


Neural Distributed Controllers with Port-Hamiltonian Structures


Neural Duplicate Question Detection without Labeled Training Data


Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks


Neural Eigenfunctions Are Structured Representation Learners


Neural Eikonal Solver: improving accuracy of physics-informed neural networks for solving eikonal equation in case of caustics


Neural Elevation Models for Terrain Mapping and Path Planning


Neural Embedded Mixed-Integer Optimization for Location-Routing Problems


Neural Embedding Compression For Efficient Multi-Task Earth Observation Modelling


Neural Embedding Propagation on Heterogeneous Networks


Neural Embeddings of Scholarly Periodicals Reveal Complex Disciplinary Organizations


Neural Emotion Director: Speech-preserving semantic control of facial expressions in "in-the-wild" videos


Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference


Neural End-to-End Learning for Computational Argumentation Mining


Neural Energy Casimir Control for Port-Hamiltonian Systems


Neural Enhanced Belief Propagation for Cooperative Localization


Neural Enhanced Belief Propagation for Multiobject Tracking


Neural Entity Summarization with Joint Encoding and Weak Supervision


Neural Entropic Estimation: A faster path to mutual information estimation


Neural Estimation for Scaling Entropic Multimarginal Optimal Transport


Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding


Neural Estimators for Conditional Mutual Information Using Nearest Neighbors Sampling


Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks


Neural Execution Engines: Learning to Execute Subroutines


Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization


Neural Exponential Stabilization of Control-affine Nonlinear Systems


Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems


Neural Extractive Text Summarization with Syntactic Compression


Neural FIM for learning Fisher Information Metrics from point cloud data


Neural Face Editing with Intrinsic Image Disentangling


Neural Face Identification in a 2D Wireframe Projection of a Manifold Object


Neural Face Rigging for Animating and Retargeting Facial Meshes in the Wild


Neural Factorization Machines for Sparse Predictive Analytics


Neural Fashion Image Captioning : Accounting for Data Diversity


Neural Feature Learning in Function Space


Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables


Neural Fields with Thermal Activations for Arbitrary-Scale Super-Resolution


Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss


Neural Fine-Gray: Monotonic neural networks for competing risks


Neural Fine-Tuning Search for Few-Shot Learning


Neural Fingerprints for Adversarial Attack Detection


Neural Fixed-Point Acceleration for Convex Optimization


Neural Flows: Efficient Alternative to Neural ODEs


Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes


Neural Fourier Modelling: A Highly Compact Approach to Time-Series Analysis


Neural Functional: Learning Function to Scalar Maps for Neural PDE Surrogates


Neural Garment Dynamics via Manifold-Aware Transformers


Neural Generalized Ordinary Differential Equations with Layer-varying Parameters


Neural Generation for Czech: Data and Baselines


Neural Generation of Dialogue Response Timings


Neural Geometric Parser for Single Image Camera Calibration


Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global Reset Feature


Neural Gradient Learning and Optimization for Oriented Point Normal Estimation


Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-agent Control


Neural Graph Evolution: Towards Efficient Automatic Robot Design


Neural Graph Map: Dense Mapping with Efficient Loop Closure Integration


Neural Graph Matching based Collaborative Filtering


Neural Graph Matching for Pre-training Graph Neural Networks


Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases


Neural Grapheme-to-Phoneme Conversion with Pre-trained Grapheme Models


Neural Grasp Distance Fields for Robot Manipulation


Neural Group Recommendation Based on a Probabilistic Semantic Aggregation


Neural Group Testing to Accelerate Deep Learning


Neural Guided Constraint Logic Programming for Program Synthesis


Neural HMMs are all you need (for high-quality attention-free TTS)


Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?


Neural Head Reenactment with Latent Pose Descriptors


Neural Honeytrace: A Robust Plug-and-Play Watermarking Framework against Model Extraction Attacks


Neural Identification of Feedback-Stabilized Nonlinear Systems


Neural Image Beauty Predictor Based on Bradley-Terry Model


Neural Image Compression and Explanation


Neural Image Compression for Gigapixel Histopathology Image Analysis


Neural Image Compression via Non-Local Attention Optimization and Improved Context Modeling


Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity


Neural Implicit 3D Shapes from Single Images with Spatial Patterns


Neural Implicit Dictionary via Mixture-of-Expert Training


Neural Implicit Manifold Learning for Topology-Aware Density Estimation


Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects


Neural Improvement Heuristics for Graph Combinatorial Optimization Problems


Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models


Neural Inertial Odometry from Lie Events


Neural Infalling Cloud Equations (NICE): Increasing the Efficacy of Subgrid Models and Scientific Equation Discovery using Neural ODEs and Symbolic Regression


Neural Inference of Gaussian Processes for Time Series Data of Quasars


Neural Information Squeezer for Causal Emergence


Neural Informed RRT*: Learning-based Path Planning with Point Cloud State Representations under Admissible Ellipsoidal Constraints


Neural Interactive Collaborative Filtering


Neural Internal Model Control: Learning a Robust Control Policy via Predictive Error Feedback


Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery


Neural Inventory Control in Networks via Hindsight Differentiable Policy Optimization


Neural Inverse Knitting: From Images to Manufacturing Instructions


Neural Isometries: Taming Transformations for Equivariant ML


Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes


Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards


Neural Lagrangian Schrödinger Bridge: Diffusion Modeling for Population Dynamics


Neural Language Model Based Training Data Augmentation for Weakly Supervised Early Rumor Detection


Neural Language Modeling for Contextualized Temporal Graph Generation


Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State


Neural Language Models for Nineteenth-Century English


Neural Laplacian Operator for 3D Point Clouds


Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem


Neural Lexicon Reader: Reduce Pronunciation Errors in End-to-end TTS by Leveraging External Textual Knowledge


Neural Light Transport for Relighting and View Synthesis


Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods


Neural Link Prediction with Walk Pooling


Neural Loop Combiner: Neural Network Models for Assessing the Compatibility of Loops


Neural Lyapunov Control for Discrete-Time Systems


Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees


Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning


Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents


Neural Machine Translation For Low Resource Languages


Neural Machine Translation System of Indic Languages -- An Attention based Approach


Neural Machine Translation of Clinical Text: An Empirical Investigation into Multilingual Pre-Trained Language Models and Transfer-Learning


Neural Machine Translation with Byte-Level Subwords


Neural Machine Translation with Characters and Hierarchical Encoding


Neural Machine Translation with Contrastive Translation Memories


Neural Machine Translation with Error Correction


Neural Machine Translation with Joint Representation


Neural Machine Translation with Monolingual Translation Memory


Neural Machine Translation with Monte-Carlo Tree Search


Neural Machine Translation with Phrase-Level Universal Visual Representations


Neural Machine Translation: Challenges, Progress and Future


Neural Manifold Clustering and Embedding


Neural Markov Random Field for Stereo Matching


Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation


Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence


Neural Maximum A Posteriori Estimation on Unpaired Data for Motion Deblurring


Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics


Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows


Neural Message Passing for Multi-Label Classification


Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental Design


Neural Message Passing for Visual Relationship Detection


Neural Methods for Logical Reasoning Over Knowledge Graphs


Neural Methods for Point-wise Dependency Estimation


Neural Mixed Effects for Nonlinear Personalized Predictions


Neural Models of the Psychosemantics of `Most'


Neural Monge Map estimation and its applications


Neural Monte Carlo Renormalization Group


Neural Motifs: Scene Graph Parsing with Global Context


Neural Motion Simulator: Pushing the Limit of World Models in Reinforcement Learning


Neural Moving Horizon Estimation for Robust Flight Control


Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement


Neural Multi-Step Reasoning for Question Answering on Semi-Structured Tables


Neural Multigrid Memory For Computational Fluid Dynamics


Neural Multimodal Topic Modeling: A Comprehensive Evaluation


Neural NILM: Deep Neural Networks Applied to Energy Disaggregation


Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation


Neural Network Acceleration of Large-scale Structure Theory Calculations


Neural Network Activation Quantization with Bitwise Information Bottlenecks


Neural Network Approach for Predicting Infrared Spectra from 3D Molecular Structure


Neural Network Approach to Scaling Analysis of Critical Phenomena


Neural Network Approach to the Simulation of Entangled States with One Bit of Communication


Neural Network Approximation of Optimal Controls for Stochastic Reaction-Diffusion Equations


Neural Network Architecture for Database Augmentation Using Shared Features


Neural Network Assisted Lifting Steps For Improved Fully Scalable Lossy Image Compression in JPEG 2000


Neural Network Based Pore Flow Field Prediction in Porous Media Using Super Resolution


Neural Network Branching for Neural Network Verification


Neural Network Compression of ACAS Xu Early Prototype is Unsafe: Closed-Loop Verification through Quantized State Backreachability


Neural Network Decoders for Large-Distance 2D Toric Codes


Neural Network Design: Learning from Neural Architecture Search


Neural Network Embeddings for Test Case Prioritization


Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation


Neural Network Gaussian Processes by Increasing Depth


Neural Network Gradient Hamiltonian Monte Carlo


Neural Network Graph Similarity Computation Based on Graph Fusion


Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles


Neural Network Layers for Prediction of Positive Definite Elastic Stiffness Tensors


Neural Network Matrix Product Operator: A Multi-Dimensionally Integrable Machine Learning Potential


Neural Network Modeling of Probabilities for Coding the Octree Representation of Point Clouds


Neural Network Optimal Feedback Control with Guaranteed Local Stability


Neural Network Panning: Screening the Optimal Sparse Network Before Training


Neural Network Parameter-optimization of Gaussian pmDAGs


Neural Network Potential with Multi-Resolution Approach Enables Accurate Prediction of Reaction Free Energies in Solution


Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty Quantification


Neural Network Predicts Ion Concentration Profiles under Nanoconfinement


Neural Network Prior Mean for Particle Accelerator Injector Tuning


Neural Network Pruning by Gradient Descent


Neural Network Robustness as a Verification Property: A Principled Case Study


Neural Network Surrogate and Projected Gradient Descent for Fast and Reliable Finite Element Model Calibration: a Case Study on an Intervertebral Disc


Neural Network Training with Approximate Logarithmic Computations


Neural Network Verification for Gliding Drone Control: A Case Study


Neural Network Verification with Branch-and-Bound for General Nonlinearities


Neural Network based Explicit Mixture Models and Expectation-maximization based Learning


Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators


Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data


Neural Networks Against (and For) Self-Training: Classification with Small Labeled and Large Unlabeled Sets


Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model


Neural Networks Based Beam Codebooks: Learning mmWave Massive MIMO Beams that Adapt to Deployment and Hardware


Neural Networks Based on Power Method and Inverse Power Method for Solving Linear Eigenvalue Problems


Neural Networks Classifier for Data Selection in Statistical Machine Translation


Neural Networks Enhancement with Logical Knowledge


Neural Networks Fail to Learn Periodic Functions and How to Fix It


Neural Networks Learn Statistics of Increasing Complexity


Neural Networks Optimized by Genetic Algorithms in Cosmology


Neural Networks Perform Sufficient Dimension Reduction


Neural Networks and Quantum Field Theory


Neural Networks as Effective Surrogate Models of Radio-Frequency Quadrupole Particle Accelerator Simulations


Neural Networks as Functional Classifiers


Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow


Neural Networks for Full Phase-space Reweighting and Parameter Tuning


Neural Networks for Latent Budget Analysis of Compositional Data


Neural Networks for Learning Counterfactual G-Invariances from Single Environments


Neural Networks for Lorenz Map Prediction: A Trip Through Time


Neural Networks for Parameter Estimation in Geometrically Anisotropic Geostatistical Models


Neural Networks for Programming Quantum Annealers


Neural Networks for Threshold Dynamics Reconstruction


Neural Networks for cosmological model selection and feature importance using Cosmic Microwave Background data


Neural Networks with Divisive normalization for image segmentation with application in cityscapes dataset


Neural Networks with Few Multiplications


Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling


Neural Networks with Quantization Constraints


Neural Networks with Recurrent Generative Feedback


Neural Networks, Hypersurfaces, and Radon Transforms


Neural News Recommendation with Collaborative News Encoding and Structural User Encoding


Neural Normalized Cut: A Differential and Generalizable Approach for Spectral Clustering


Neural OCR Post-Hoc Correction of Historical Corpora


Neural ODE with Temporal Convolution and Time Delay Neural Networks for Small-Footprint Keyword Spotting


Neural ODEs as Feedback Policies for Nonlinear Optimal Control


Neural ODEs as a discovery tool to characterize the structure of the hot galactic wind of M82


Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition


Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images


Neural Observation Field Guided Hybrid Optimization of Camera Placement


Neural Octahedral Field: Octahedral prior for simultaneous smoothing and sharp edge regularization


Neural Operator Learning for Ultrasound Tomography Inversion


Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes


Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs


Neural Operator-Based Proxy for Reservoir Simulations Considering Varying Well Settings, Locations, and Permeability Fields


Neural Operators for PDE Backstepping Control of First-Order Hyperbolic PIDE with Recycle and Delay


Neural Optimal Control using Learned System Dynamics


Neural Optimal Transport with General Cost Functionals


Neural Optimal Transport with Lagrangian Costs


Neural Optimizer Equation, Decay Function, and Learning Rate Schedule Joint Evolution


Neural Ordinary Differential Equation Control of Dynamics on Graphs


Neural Ordinary Differential Equations for Intervention Modeling


Neural PLDA Modeling for End-to-End Speaker Verification


Neural Parameter Estimation with Incomplete Data


Neural Parametric Fokker-Planck Equations


Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks


Neural Passage Quality Estimation for Static Pruning


Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding


Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks


Neural Percussive Synthesis Parameterised by High-Level Timbral Features


Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology


Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations


Neural Pipeline for Zero-Shot Data-to-Text Generation


Neural Pitch-Shifting and Time-Stretching with Controllable LPCNet


Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation


Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation


Neural Point Process for Learning Spatiotemporal Event Dynamics


Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling


Neural Poisson Surface Reconstruction: Resolution-Agnostic Shape Reconstruction from Point Clouds


Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception


Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks


Neural Pose Transfer by Spatially Adaptive Instance Normalization


Neural Posterior Regularization for Likelihood-Free Inference


Neural Potential Field for Obstacle-Aware Local Motion Planning


Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing


Neural Predictive Monitoring under Partial Observability


Neural Predictor for Black-Box Adversarial Attacks on Speech Recognition


Neural Predictor for Flight Control with Payload


Neural Priming for Sample-Efficient Adaptation


Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data


Neural Processes with Stochastic Attention: Paying more attention to the context dataset


Neural Processing of Tri-Plane Hybrid Neural Fields


Neural Prototype Trees for Interpretable Fine-grained Image Recognition


Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction


Neural RST-based Evaluation of Discourse Coherence


Neural Ranking Models for Temporal Dependency Structure Parsing


Neural Ray-Tracing: Learning Surfaces and Reflectance for Relighting and View Synthesis


Neural Rays for Occlusion-aware Image-based Rendering


Neural Re-ranking in Multi-stage Recommender Systems: A Review


Neural Real-Time Recalibration for Infrared Multi-Camera Systems


Neural Refinement for Absolute Pose Regression with Feature Synthesis


Neural Reflectance for Shape Recovery with Shadow Handling


Neural Regression For Scale-Varying Targets


Neural Related Work Summarization with a Joint Context-driven Attention Mechanism


Neural Relation Extraction Within and Across Sentence Boundaries


Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data


Neural Relational Inference with Efficient Message Passing Mechanisms


Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery


Neural Representation for Wireless Radiation Field Reconstruction: A 3D Gaussian Splatting Approach


Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment


Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks


Neural Representations for Modeling Variation in Speech


Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization


Neural Reranking for Named Entity Recognition


Neural Residual Flow Fields for Efficient Video Representations


Neural Response Ranking for Social Conversation: A Data-Efficient Approach


Neural Reverse Engineering of Stripped Binaries using Augmented Control Flow Graphs


Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise


Neural SDEs for Conditional Time Series Generation and the Signature-Wasserstein-1 metric


Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics


Neural Scaling Laws Rooted in the Data Distribution


Neural Scene Decoration from a Single Photograph


Neural Score Matching for High-Dimensional Causal Inference


Neural Semantic Parsing over Multiple Knowledge-bases


Neural Semantic Parsing with Anonymization for Command Understanding in General-Purpose Service Robots


Neural Semantic Parsing with Extremely Rich Symbolic Meaning Representations


Neural Semantic Role Labeling with Dependency Path Embeddings


Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining


Neural Sentence Ordering Based on Constraint Graphs


Neural Sequence Model Training via $α$-divergence Minimization


Neural Sequence Segmentation as Determining the Leftmost Segments


Neural Sequence-to-grid Module for Learning Symbolic Rules


Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions


Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs


Neural Simile Recognition with Cyclic Multitask Learning and Local Attention


Neural Sketch Learning for Conditional Program Generation


Neural Snowball for Few-Shot Relation Learning


Neural Solver Selection for Combinatorial Optimization


Neural Solvers for Fast and Accurate Numerical Optimal Control


Neural Sparse Representation for Image Restoration


Neural Spatial-Temporal Tensor Representation for Infrared Small Target Detection


Neural Speaker Diarization Using Memory-Aware Multi-Speaker Embedding with Sequence-to-Sequence Architecture


Neural Spectral Methods: Self-supervised learning in the spectral domain


Neural Speech Phase Prediction based on Parallel Estimation Architecture and Anti-Wrapping Losses


Neural Speed Reading with Structural-Jump-LSTM


Neural State-Space Modeling with Latent Causal-Effect Disentanglement


Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification


Neural Stein critics with staged $L^2$-regularization


Neural Strokes: Stylized Line Drawing of 3D Shapes


Neural Structure Fields with Application to Crystal Structure Autoencoders


Neural Structured Prediction for Inductive Node Classification


Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data


Neural Style Transfer and Unpaired Image-to-Image Translation to deal with the Domain Shift Problem on Spheroid Segmentation


Neural Style Transfer for Vector Graphics


Neural Super-Resolution for Real-time Rendering with Radiance Demodulation


Neural Surface Priors for Editable Gaussian Splatting


Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera


Neural Symplectic Integrator with Hamiltonian Inductive Bias for the Gravitational $N$-body Problem


Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems


Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators


Neural Tangent Kernel Analysis of Deep Narrow Neural Networks


Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization


Neural Tangent Kernel Maximum Mean Discrepancy


Neural Tangents: Fast and Easy Infinite Neural Networks in Python


Neural Target Speech Extraction: An Overview


Neural Task Synthesis for Visual Programming


Neural Template: Topology-aware Reconstruction and Disentangled Generation of 3D Meshes


Neural Temporal Point Processes For Modelling Electronic Health Records


Neural Text Generation from Rich Semantic Representations


Neural Text Generation with Unlikelihood Training


Neural Text to Articulate Talk: Deep Text to Audiovisual Speech Synthesis achieving both Auditory and Photo-realism


Neural Texture Extraction and Distribution for Controllable Person Image Synthesis


Neural Texture Puppeteer: A Framework for Neural Geometry and Texture Rendering of Articulated Shapes, Enabling Re-Identification at Interactive Speed


Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models


Neural Topic Model via Optimal Transport


Neural Topic Modeling with Continual Lifelong Learning


Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate


Neural Trajectory Model: Implicit Neural Trajectory Representation for Trajectories Generation


Neural Transformation Learning for Deep Anomaly Detection Beyond Images


Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images


Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments


Neural Tree Indexers for Text Understanding


Neural Unification for Logic Reasoning over Natural Language


Neural Unsupervised Domain Adaptation in NLP---A Survey


Neural Vector Conceptualization for Word Vector Space Interpretation


Neural Vector Fields for Implicit Surface Representation and Inference


Neural Vector Fields: Implicit Representation by Explicit Learning


Neural Video Portrait Relighting in Real-time via Consistency Modeling


Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose


Neural Vocoder is All You Need for Speech Super-resolution


Neural Voice Puppetry: Audio-driven Facial Reenactment


Neural Volume Rendering: NeRF And Beyond


Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels


Neural Wavelet-domain Diffusion for 3D Shape Generation


Neural Wavetable: a playable wavetable synthesizer using neural networks


Neural Weight Search for Scalable Task Incremental Learning


Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A*


Neural Wireframe Renderer: Learning Wireframe to Image Translations


Neural Word Search in Historical Manuscript Collections


Neural Word Segmentation Learning for Chinese


Neural Word Segmentation with Rich Pretraining


Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx


Neural blind deconvolution for deblurring and supersampling PSMA PET


Neural canonical transformations for vibrational spectra of molecules


Neural circuits for dynamics-based segmentation of time series


Neural content-aware collaborative filtering for cold-start music recommendation


Neural cyberattacks applied to the vision under realistic visual stimuli


Neural density functional theory of liquid-gas phase coexistence


Neural density functionals: Local learning and pair-correlation matching


Neural directional distance field object representation for uni-directional path-traced rendering


Neural empirical interpolation method for nonlinear model reduction


Neural encoding with affine feature response transforms


Neural equilibria for long-term prediction of nonlinear conservation laws


Neural fidelity warping for efficient robot morphology design


Neural functional a posteriori error estimates


Neural functional theory for inhomogeneous fluids: Fundamentals and applications


Neural integration for constitutive equations using small data


Neural interval-censored survival regression with feature selection


Neural machine translation system for Lezgian, Russian and Azerbaijani languages


Neural manifold analysis of brain circuit dynamics in health and disease


Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures


Neural models for Factual Inconsistency Classification with Explanations


Neural net modeling of equilibria in NSTX-U


Neural network accelerator for quantum control


Neural network an1alysis of sleep stages enables efficient diagnosis of narcolepsy


Neural network analysis of neutron and X-ray reflectivity data: automated analysis using mlreflect, experimental errors and feature engineering


Neural network approach to reconstructing spectral functions and complex poles of confined particles


Neural network architectures using min-plus algebra for solving certain high dimensional optimal control problems and Hamilton-Jacobi PDEs


Neural network augmented wave-equation simulation


Neural network based generation of a 1-dimensional stochastic field with turbulent velocity statistics


Neural network distillation of orbital dependent density functional theory


Neural network facilitated ab initio derivation of linear formula: A case study on formulating the relationship between DNA motifs and gene expression


Neural network for estimation of optical characteristics of optically active and turbid scattering media


Neural network for multi-exponential sound energy decay analysis


Neural network interpolation of exchange-correlation functional


Neural network is heterogeneous: Phase matters more


Neural network reconstruction of density and velocity fields from the 2MASS Redshift Survey


Neural network relief: a pruning algorithm based on neural activity


Neural network solvers for parametrized elasticity problems that conserve linear and angular momentum


Neural network stochastic differential equation models with applications to financial data forecasting


Neural network training under semidefinite constraints


Neural network-based clustering using pairwise constraints


Neural network-based emulation of interstellar medium models


Neural networks behave as hash encoders: An empirical study


Neural networks can be FLOP-efficient integrators of 1D oscillatory integrands


Neural networks can detect model-free static arbitrage strategies


Neural networks can understand compositional functions that humans do not, in the context of emergent communication


Neural networks for a quick access to a digital twin of scanning physical properties measurements


Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff


Neural networks for post-processing ensemble weather forecasts


Neural networks for the approximation of Euler's elastica


Neural networks in quantum many-body physics: a hands-on tutorial


Neural networks learn to magnify areas near decision boundaries


Neural networks on microcontrollers: saving memory at inference via operator reordering


Neural networks trained on synthetically generated crystals can extract structural information from ICSD powder X-ray diffractograms


Neural networks trained with SGD learn distributions of increasing complexity


Neural networks versus Logistic regression for 30 days all-cause readmission prediction


Neural networks with differentiable structure


Neural oscillators for generalization of physics-informed machine learning


Neural physical engines for inferring the halo mass distribution function


Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use cases


Neural semi-Markov CRF for Monolingual Word Alignment


Neural sentence embedding models for semantic similarity estimation in the biomedical domain


Neural signal propagation atlas of C. elegans


Neural signature kernels as infinite-width-depth-limits of controlled ResNets


Neural spell-checker: Beyond words with synthetic data generation


Neural stochastic differential equations for particle dispersion in large-eddy simulations of homogeneous isotropic turbulence


Neural-Augmented Kelvinlet: Real-Time Soft Tissue Deformation with Multiple Graspers


Neural-BO: A Black-box Optimization Algorithm using Deep Neural Networks


Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding


Neural-Davidsonian Semantic Proto-role Labeling


Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds


Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing


Neural-Guided Symbolic Regression with Asymptotic Constraints


Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler


Neural-IMLS: Self-supervised Implicit Moving Least-Squares Network for Surface Reconstruction


Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results


Neural-Network Guided Expression Transformation


Neural-PDE: A RNN based neural network for solving time dependent PDEs


Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition


Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces


Neural-Sim: Learning to Generate Training Data with NeRF


Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks


Neural-Symbolic Models for Logical Queries on Knowledge Graphs


Neural-Symbolic Recommendation with Graph-Enhanced Information


Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks


Neural-based Modeling for Performance Tuning of Spark Data Analytics


Neural-based Noise Filtering from Word Embeddings


Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning


Neural-g: A Deep Learning Framework for Mixing Density Estimation


Neural-network learning of SPOD latent dynamics


Neural-network solutions to stochastic reaction networks


Neural2Speech: A Transfer Learning Framework for Neural-Driven Speech Reconstruction


NeuralBlox: Real-Time Neural Representation Fusion for Robust Volumetric Mapping


NeuralCMS: A deep learning approach to study Jupiter's interior


NeuralDiffuser: Neuroscience-inspired Diffusion Guidance for fMRI Visual Reconstruction


NeuralEF: Deconstructing Kernels by Deep Neural Networks


NeuralFDR: Learning Discovery Thresholds from Hypothesis Features


NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine Learning


NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes


NeuralFusion: Online Depth Fusion in Latent Space


NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function


NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views


NeuralMAG: Fast and Generalizable Micromagnetic Simulation with Deep Neural Nets


NeuralMLS: Geometry-Aware Control Point Deformation


NeuralMOVES: A lightweight and microscopic vehicle emission estimation model based on reverse engineering and surrogate learning


NeuralMVS: Bridging Multi-View Stereo and Novel View Synthesis


NeuralMag: an open-source nodal finite-difference code for inverse micromagnetics


NeuralMagicEye: Learning to See and Understand the Scene Behind an Autostereogram


NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval


NeuralNexus at BEA 2025 Shared Task: Retrieval-Augmented Prompting for Mistake Identification in AI Tutors


NeuralODEs for VLEO simulations: Introducing thermoNET for Thermosphere Modeling


NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation


NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation


NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations


NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models


NeuralPassthrough: Learned Real-Time View Synthesis for VR


NeuralQA: A Usable Library for Question Answering (Contextual Query Expansion + BERT) on Large Datasets


NeuralREG: An end-to-end approach to referring expression generation


NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems


NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks


NeuralSens: Sensitivity Analysis of Neural Networks


NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks


NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization


NeuralTSNE: A Python Package for the Dimensionality Reduction of Molecular Dynamics Data Using Neural Networks


NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments


NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation


Neuralangelo: High-Fidelity Neural Surface Reconstruction


Neuralizer: General Neuroimage Analysis without Re-Training


Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks


NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras


Neuro-Argumentative Learning with Case-Based Reasoning


Neuro-BERT: Rethinking Masked Autoencoding for Self-supervised Neurological Pretraining


Neuro-GPT: Towards A Foundation Model for EEG


Neuro-Inspired Deep Neural Networks with Sparse, Strong Activations


Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity


Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning


Neuro-Nav: A Library for Neurally-Plausible Reinforcement Learning


Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal


Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation


Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification


Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs


Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval


Neuro-Symbolic Learning of Answer Set Programs from Raw Data


Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language


Neuro-Symbolic Verification of Deep Neural Networks


Neuro-evolutionary evidence for a universal fractal primate brain shape


Neuro-inspired edge feature fusion using Choquet integrals


Neuro-symbolic Learning Yielding Logical Constraints


Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference


Neuro-symbolic Training for Reasoning over Spatial Language


Neuro-symbolic representation learning on biological knowledge graphs


Neuro2Semantic: A Transfer Learning Framework for Semantic Reconstruction of Continuous Language from Human Intracranial EEG


NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping


NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks


NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems


NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks


NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN


NeuroCUT: A Neural Approach for Robust Graph Partitioning


NeuroCard: One Cardinality Estimator for All Tables


NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks


NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation


NeuroDAVIS: A neural network model for data visualization


NeuroDB: A Neural Network Framework for Answering Range Aggregate Queries and Beyond


NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications


NeuroFly: A framework for whole-brain single neuron reconstruction


NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries


NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation


NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics


NeuroIncept Decoder for High-Fidelity Speech Reconstruction from Neural Activity


NeuroInspect: Interpretable Neuron-based Debugging Framework through Class-conditional Visualizations


NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem


NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals


NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics


NeuroMapper: In-browser Visualizer for Neural Network Training


NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release


NeuroMorse: A Temporally Structured Dataset For Neuromorphic Computing


NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving


NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG


NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines


NeuroPMD: Neural Fields for Density Estimation on Product Manifolds


NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes


NeuroPrim: An Attention-based Model for Solving NP-hard Spanning Tree Problems


NeuroQuantify -- An Image Analysis Software for Detection and Quantification of Neurons and Neurites using Deep Learning


NeuroSEM: A hybrid framework for simulating multiphysics problems by coupling PINNs and spectral elements


NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis Prediction


NeuroSurgeon: A Toolkit for Subnetwork Analysis


NeuroSwarm: Multi-Agent Neural 3D Scene Reconstruction and Segmentation with UAV for Optimal Navigation of Quadruped Robot


NeuroSynt: A Neuro-symbolic Portfolio Solver for Reactive Synthesis


NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks


NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning


Neuroadaptive electroencephalography: a proof-of-principle study in infants


Neurocache: Efficient Vector Retrieval for Long-range Language Modeling


Neurochaos Feature Transformation and Classification for Imbalanced Learning


Neurodevelopmental Phenotype Prediction: A State-of-the-Art Deep Learning Model


Neurodevelopmental disorders modeling using isogeometric analysis, dynamic domain expansion and local refinement