Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery


Neuroevolution of Recurrent Architectures on Control Tasks


Neuroevolution-Based Generation of Tests and Oracles for Games


Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World


Neuroimaging Meta Regression for Coordinate Based Meta Analysis Data with a Spatial Model


Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing Risks


Neuromechanical Mechanisms of Gait Adaptation in C. elegans: Relative Roles of Neural and Mechanical Coupling


Neuromodulation and homeostasis: complementary mechanisms for robust neural function


Neuromodulation via Krotov-Hopfield Improves Accuracy and Robustness of RBMs


Neuromorphic Attitude Estimation and Control


Neuromorphic Camera Denoising using Graph Neural Network-driven Transformers


Neuromorphic Computing with AER using Time-to-Event-Margin Propagation


Neuromorphic Data Augmentation for Training Spiking Neural Networks


Neuromorphic Drone Detection: an Event-RGB Multimodal Approach


Neuromorphic Event-based Facial Expression Recognition


Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing


Neuromorphic Keyword Spotting with Pulse Density Modulation MEMS Microphones


Neuromorphic Synergy for Video Binarization


Neuromorphic Wireless Split Computing with Multi-Level Spikes


Neuromorphic dreaming: A pathway to efficient learning in artificial agents


Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization


Neuron Campaign for Initialization Guided by Information Bottleneck Theory


Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting


Neuron Merging: Compensating for Pruned Neurons


Neuron Shapley: Discovering the Responsible Neurons


Neuron Structure Modeling for Generalizable Remote Physiological Measurement


Neuron segmentation using 3D wavelet integrated encoder-decoder network


Neuron to Graph: Interpreting Language Model Neurons at Scale


Neuron's Eye View: Inferring Features of Complex Stimuli from Neural Responses


Neuron-Specific Dropout: A Deterministic Regularization Technique to Prevent Neural Networks from Overfitting & Reduce Dependence on Large Training Samples


Neuron-based Personality Trait Induction in Large Language Models


NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification


NeuronTune: Towards Self-Guided Spurious Bias Mitigation


Neuronal Competition Groups with Supervised STDP for Spike-Based Classification


Neuronal Network Inference and Membrane Potential Model using Multivariate Hawkes Processes


Neuronal architecture extracts statistical temporal patterns


Neuronal diversity can improve machine learning for physics and beyond


Neuronal functional connectivity graph estimation with the R package neurofuncon


Neurons: Emulating the Human Visual Cortex Improves Fidelity and Interpretability in fMRI-to-Video Reconstruction


NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning


Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation


Neurophysiologically Realistic Environment for Comparing Adaptive Deep Brain Stimulation Algorithms in Parkinson Disease


Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks


Neurosymbolic Reasoning Shortcuts under the Independence Assumption


Neurosymbolic Reinforcement Learning with Formally Verified Exploration


Neurosymbolic Transformers for Multi-Agent Communication


Neurotoxin: Durable Backdoors in Federated Learning


Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge


Neutral bots probe political bias on social media


Neutral evolution and turnover over centuries of English word popularity


Neutralizing Bias in LLM Reasoning using Entailment Graphs


Neutralizing Self-Selection Bias in Sampling for Sortition


Neutrino Magnetic Moments Meet Precision $N_{\rm eff}$ Measurements


Neutrino Structure Functions from GeV to EeV Energies


Neutrino interaction classification with a convolutional neural network in the DUNE far detector


Neutrino many-body flavor evolution: the full Hamiltonian


Neutrino mass constraint from an Implicit Likelihood Analysis of BOSS voids


Neutrinos from muon-rich ultra high energy electromagnetic cascades: The MUNHECA code


Neutron Stars in Scalar-Tensor Theories: Analytic Scalar Charges and Universal Relations


Neutron Transmission Strain Tomography for Non-Constant Stress-Free Lattice Spacing


Neutron: An Implementation of the Transformer Translation Model and its Variants


Nevanlinna.jl: A Julia implementation of Nevanlinna analytic continuation


Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training


Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors


Never Trust Your Victim: Weaponizing Vulnerabilities in Security Scanners


Never mind the metrics -- what about the uncertainty? Visualising confusion matrix metric distributions


New Adversarial Image Detection Based on Sentiment Analysis


New Algorithms And Fast Implementations To Approximate Stochastic Processes


New Algorithms and Applications for Risk-Limiting Audits


New Algorithms for Incremental Minimum Spanning Trees and Temporal Graph Applications


New Approximations for Coalitional Manipulation in General Scoring Rules


New Benchmark Dataset and Fine-Grained Cross-Modal Fusion Framework for Vietnamese Multimodal Aspect-Category Sentiment Analysis


New Benchmarks for Asian Facial Recognition Tasks: Face Classification with Large Foundation Models


New Bregman proximal type algorithms for solving DC optimization problems


New Calabi-Yau Manifolds from Genetic Algorithms


New Circuit for Quantum Adder by Constant


New Concurrent Order Maintenance Data Structure


New Constraints on Early-Type Galaxy Assembly from Spectroscopic Metallicities of Globular Clusters in M87


New Constraints on the Mass of Fermionic Dark Matter from Dwarf Spheroidal Galaxies


New Coresets for Projective Clustering and Applications


New Cycle-based Formulation, Cost Function, and Heuristics for DC OPF Based Controlled Islanding


New Datasets and a Benchmark of Document Network Embedding Methods for Scientific Expert Finding


New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound


New Design of three-qubit system with three transmons and a single fixed-frequency resonator coupler


New Designed Loss Functions to Solve Ordinary Differential Equations with Artificial Neural Network


New Differential Privacy Communication Pipeline and Design Framework


New FPT algorithms for finding the temporal hybridization number for sets of phylogenetic trees


New Heuristics for Parallel and Scalable Bayesian Optimization


New High Performance GPGPU Code Transformation Framework Applied to Large Production Weather Prediction Code


New Horizons for Psi: Extreme-Mass-Ratio Inspirals in Fundamental Fields


New Horizons for Psi: Studying fundamental fields with numerical relativity


New Insights for the Stability-Plasticity Dilemma in Online Continual Learning


New Insights into Global Warming: End-to-End Visual Analysis and Prediction of Temperature Variations


New Insights into Metric Optimization for Ranking-based Recommendation


New Insights on Reducing Abrupt Representation Change in Online Continual Learning


New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning


New Instances of Quadratic APN Functions


New Intent Discovery with Pre-training and Contrastive Learning


New Job, New Gender? Measuring the Social Bias in Image Generation Models


New Linear-time Algorithm for SubTree Kernel Computation based on Root-Weighted Tree Automata


New Lower Bounds for van der Waerden Numbers Using Distributed Computing


New MGCAMB tests of gravity with CosmoMC and Cobaya


New Metrics Between Rational Spectra and their Connection to Optimal Transport


New Metrics to Encourage Innovation and Diversity in Information Retrieval Approaches


New Models of Jupiter's Magnetopause and Bow Shock through the Juno Prime Mission: Probabilistic Location, Shape, and Internally-driven Variation


New Oracle-Efficient Algorithms for Private Synthetic Data Release


New Paradigm of Adversarial Training: Breaking Inherent Trade-Off between Accuracy and Robustness via Dummy Classes


New Perspectives on Sensitivity and Identifiability Analysis using the Unscented Kalman Filter


New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs


New Power Method for Solving Eigenvalue Problems


New Probabilistic-Dynamic Multi-Method Ensembles for Optimization based on the CRO-SL


New Properties of the Data Distillation Method When Working With Tabular Data


New Protocols and Negative Results for Textual Entailment Data Collection


New Q-Newton's method meets Backtracking line search: good convergence guarantee, saddle points avoidance, quadratic rate of convergence, and easy implementation


New Results for the Text Recognition of Arabic Maghrib{ī} Manuscripts -- Managing an Under-resourced Script


New Riemannian preconditioned algorithms for tensor completion via polyadic decomposition


New Semantic Task for the French Spoken Language Understanding MEDIA Benchmark


New Strongly Regular Graphs Found via Local Search for Partial Difference Sets


New Techniques for Preserving Global Structure and Denoising with Low Information Loss in Single-Image Super-Resolution


New Tight Bounds for SGD without Variance Assumption: A Computer-Aided Lyapunov Analysis


New advances in enumerative biclustering algorithms with online partitioning


New affine invariant ensemble samplers and their dimensional scaling


New approach to MPI program execution time prediction


New approaches for boosting to uniformity


New binary black hole mergers in the LIGO--Virgo O3a data


New bounds for Ramsey numbers $R(K_k-e,K_l-e)$


New constraints on cosmological modified gravity theories from anisotropic three-point correlation functions of BOSS DR12 galaxies


New constraints on primordial features from the galaxy two-point correlation function


New constraints on the Bray conservation-of-momentum natal kick model from multiple distinct observations


New constraints on the central mass contents of Omega Centauri from combined stellar kinematics and pulsar timing


New data poison attacks on machine learning classifiers for mobile exfiltration


New determination of the production cross section for $γ$ rays in the Galaxy


New determination of the production cross section for secondary positrons and electrons in the Galaxy


New efficient ADMM algorithm for the Unit Commitment Problem


New fairness criteria for truncated ballots in multi-winner ranked-choice elections


New homogenization approaches for stochastic transport through heterogeneous media


New insights for the multivariate square-root lasso


New mass estimates for massive binary systems: a probabilistic approach using polarimetric radiative transfer


New member candidates of Upper Scorpius from Gaia DR1


New methods derived from energy minimization problems for solving two dimensional discrete dislocation dynamics


New methods for metastimuli: architecture, embeddings, and neural network optimization


New methods to compute the generalized chi-square distribution


New metrics and search algorithms for weighted causal DAGs


New mixed formulation and mesh dependency of finite elements based on the consistent couple stress theory


New physics at the Intensity Frontier: how much can we learn and how?


New physics contributions to moments of inclusive $b \to c$ semileptonic decays


New recursive constructions of amoebas and their balancing number


New semi-analytical solutions for advection-dispersion equations in multilayer porous media


New simulations of the X-ray spectra and polarizations of accretion-disc corona systems with various geometrical configurations I. Model Description


New simultaneous methods for finding all zeros of a polynomial


New theoretical Fe II templates for bright quasars


New tools for comparing classical and neural ODE models for tumor growth


New word analogy corpus for exploring embeddings of Czech words


NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates


Newclid: A User-Friendly Replacement for AlphaGeometry


Newcomb-Benford's law as a fast ersatz of discrepancy measures


News Article Retrieval in Context for Event-centric Narrative Creation


News Article Teaser Tweets and How to Generate Them


News Headline Grouping as a Challenging NLU Task


News Labeling as Early as Possible: Real or Fake?


News Meets Microblog: Hashtag Annotation via Retriever-Generator


News Ninja: Gamified Annotation of Linguistic Bias in Online News


News Recommendation with Category Description by a Large Language Model


News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation


News-sharing on Twitter reveals emergent fragmentation of media agenda and persistent polarization


NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism


NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media


NewsDialogues: Towards Proactive News Grounded Conversation


NewsGPT: ChatGPT Integration for Robot-Reporter


NewsInterview: a Dataset and a Playground to Evaluate LLMs' Ground Gap via Informational Interviews


NewsPanda: Media Monitoring for Timely Conservation Action


NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking


Newsvendor Model with Deep Reinforcement Learning


Newswire: A Large-Scale Structured Database of a Century of Historical News


Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms


Newton Method Revisited: Global Convergence Rates up to $\mathcal {O}\left(k^{-3} \right)$ for Stepsize Schedules and Linesearch Procedures


Newton acceleration on manifolds identified by proximal-gradient methods


Newton method for $\ell_0$-regularized optimization


Newton-ADMM: A Distributed GPU-Accelerated Optimizer for Multiclass Classification Problems


Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update


Newton-Okounkov bodies of chemical reaction systems


Newton-PIPG: A Fast Hybrid Algorithm for Quadratic Programs in Optimal Control


Newton-Puiseux Analysis for Interpretability and Calibration of Complex-Valued Neural Networks


Newton-Raphson Flow for Aggressive Quadrotor Tracking Control


Newton-based maximum likelihood estimation in nonlinear state space models


Newton-type Alternating Minimization Algorithm for Convex Optimization


Newton-type Methods for Minimax Optimization


Next Best Sense: Guiding Vision and Touch with FisherRF for 3D Gaussian Splatting


Next Generation Loss Function for Image Classification


Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning


Next Level Message-Passing with Hierarchical Support Graphs


Next Patch Prediction for Autoregressive Visual Generation


Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey


Next-Best-View Estimation based on Deep Reinforcement Learning for Active Object Classification


Next-Scale Autoregressive Models are Zero-Shot Single-Image Object View Synthesizers


Next-best-view Regression using a 3D Convolutional Neural Network


Next-order balanced model captures submesoscale physics and statistics


Next-slot OFDM-CSI Prediction: Multi-head Self-attention or State Space Model?


Next-token prediction capacity: general upper bounds and a lower bound for transformers


Next2You: Robust Copresence Detection Based on Channel State Information


NextLevelBERT: Masked Language Modeling with Higher-Level Representations for Long Documents


Nexus-Gen: A Unified Model for Image Understanding, Generation, and Editing


Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules


NfgTransformer: Equivariant Representation Learning for Normal-form Games


Ngambay-French Neural Machine Translation (sba-Fr)


NiNformer: A Network in Network Transformer with Token Mixing Generated Gating Function


Niagara: Normal-Integrated Geometric Affine Field for Scene Reconstruction from a Single View


Nice perfume. How long did you marinate in it? Multimodal Sarcasm Explanation


Niching-based Evolutionary Diversity Optimization for the Traveling Salesperson Problem


Nickell Bias in Panel Local Projection: Financial Crises Are Worse Than You Think


Nickell Meets Stambaugh: A Tale of Two Biases in Panel Predictive Regressions


NiemaGraphGen: A memory-efficient global-scale contact network simulation toolkit


Nifty Web Apps: Build a Web App for Any Text-Based Programming Assignment


Night-Rider: Nocturnal Vision-aided Localization in Streetlight Maps Using Invariant Extended Kalman Filtering


Night-to-Day Image Translation for Retrieval-based Localization


NightHazeFormer: Single Nighttime Haze Removal Using Prior Query Transformer


NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night


NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations


Nightbeat: Heart Rate Estimation From a Wrist-Worn Accelerometer During Sleep


Nighttime Dehazing with a Synthetic Benchmark


Nighttime Driver Behavior Prediction Using Taillight Signal Recognition via CNN-SVM Classifier


Nighttime Person Re-Identification via Collaborative Enhancement Network with Multi-domain Learning


Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior


Nighttime Thermal Infrared Image Colorization with Feedback-based Object Appearance Learning


Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS


Nii: a Bayesian orbit retrieval code applied to differential astrometry


NileChat: Towards Linguistically Diverse and Culturally Aware LLMs for Local Communities


NimbRo-OP2: Grown-up 3D Printed Open Humanoid Platform for Research


Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning


NimbleD: Enhancing Self-supervised Monocular Depth Estimation with Pseudo-labels and Large-scale Video Pre-training


Nine Features in a Random Forest to Learn Taxonomical Semantic Relations


Nip in the Bud: Forecasting and Interpreting Post-exploitation Attacks in Real-time through Cyber Threat Intelligence Reports


NirvaWave: An Accurate and Efficient Near Field Wave Propagation Simulator for 6G and Beyond


Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs


NiteDR: Nighttime Image De-Raining with Cross-View Sensor Cooperative Learning for Dynamic Driving Scenes


NitiBench: A Comprehensive Studies of LLM Frameworks Capabilities for Thai Legal Question Answering


Nitriding: A tool kit for building scalable, networked, secure enclaves


Nitrogen-Vacancy Color Centers in Nanodiamonds as Reference Single-Photon Emitters


Nix-TTS: Lightweight and End-to-End Text-to-Speech via Module-wise Distillation


Njobvu-AI: An open-source tool for collaborative image labeling and implementation of computer vision models


Nmag micromagnetic simulation tool - software engineering lessons learned


Nmbr9 as a Constraint Programming Challenge


No ((n, k, d < 127)) code can violate the quantum Hamming bound


No Annotations for Object Detection in Art through Stable Diffusion


No COVID-19 Climate Silver Lining in the US Power Sector


No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks


No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages


No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs


No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier


No Fear of the Dark: Image Retrieval under Varying Illumination Conditions


No Flavor Anisotropy in the High-Energy Neutrino Sky Upholds Lorentz Invariance


No Forking Way: Detecting Cloning Attacks on Intel SGX Applications


No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices


No Identity, no problem: Motion through detection for people tracking


No Images, No Problem: Retaining Knowledge in Continual VQA with Questions-Only Memory


No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks


No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient Lengths


No MCMC for me: Amortized sampling for fast and stable training of energy-based models


No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets


No Modes left behind: Capturing the data distribution effectively using GANs


No More Adam: Learning Rate Scaling at Initialization is All You Need


No More Ambiguity in 360° Room Layout via Bi-Layout Estimation


No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence


No More Mumbles: Enhancing Robot Intelligibility through Speech Adaptation


No More Potentially Dynamic Objects: Static Point Cloud Map Generation based on 3D Object Detection and Ground Projection


No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects


No More Than 6ft Apart: Robust K-Means via Radius Upper Bounds


No Need for Interactions: Robust Model-Based Imitation Learning using Neural ODE


No Offense Taken: Eliciting Offensiveness from Language Models


No One Left Behind: Real-World Federated Class-Incremental Learning


No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks


No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves


No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models


No Peer, no Cry: Network Application Fuzzing via Fault Injection


No Permanent Friends or Enemies: Tracking Relationships between Nations from News


No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images


No Preference Left Behind: Group Distributional Preference Optimization


No Press Diplomacy: Modeling Multi-Agent Gameplay


No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning


No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML


No Redshift Evolution of Dust Temperatures from $0 < z < 2$


No Regret Sample Selection with Noisy Labels


No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery


No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO


No Rumours Please! A Multi-Indic-Lingual Approach for COVID Fake-Tweet Detection


No Saved Kaleidosope: an 100% Jitted Neural Network Coding Language with Pythonic Syntax


No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with Company Size


No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks


No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems


No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces


No Time for Dead Time: Use the Fourier Amplitude Differences to Normalize Dead-time-affected Periodograms


No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation


No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling


No Token Left Behind: Explainability-Aided Image Classification and Generation


No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models


No Training Required: Exploring Random Encoders for Sentence Classification


No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets


No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media


No Word is an Island -- A Transformation Weighting Model for Semantic Composition


No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths


No evidence that the binary black hole mass distribution evolves with redshift


No evidence that the majority of black holes in binaries have zero spin


No frame left behind: Full Video Action Recognition


No learning rates needed: Introducing SALSA -- Stable Armijo Line Search Adaptation


No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning


No need to know: astrophysics-free gravitational-wave cosmology


No peaks without valleys: The stable mass transfer channel for gravitational-wave sources in light of the neutron star-black hole mass gap


No perspective, no perception!! Perspective-aware Healthcare Answer Summarization


No sensitivity to functional forms in the Rosenzweig-MacArthur model with strong environmental stochasticity


No that's not what I meant: Handling Third Position Repair in Conversational Question Answering


No time for surface charge: how bulk conductivity hides charge patterns from KPFM in contact-electrified surfaces


No time to train! Training-Free Reference-Based Instance Segmentation


No-Go Theorems for Universal Quantum State Purification via Classically Simulable Operations


No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization


No-Pain No-Gain: DRL Assisted Optimization in Energy-Constrained CR-NOMA Networks


No-Reference Color Image Quality Assessment: From Entropy to Perceptual Quality


No-Reference Image Quality Assessment by Hallucinating Pristine Features


No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency


No-Reference Image Quality Assessment with Global-Local Progressive Integration and Semantic-Aligned Quality Transfer


No-Reference Point Cloud Quality Assessment via Domain Adaptation


No-Reference Point Cloud Quality Assessment via Graph Convolutional Network


No-Reference Point Cloud Quality Assessment via Weighted Patch Quality Prediction


No-Reference Video Quality Assessment Using Space-Time Chips


No-Regret Constrained Bayesian Optimization of Noisy and Expensive Hybrid Models using Differentiable Quantile Function Approximations


No-Regret and Incentive-Compatible Online Learning


No-Service Rail Surface Defect Segmentation via Normalized Attention and Dual-scale Interaction


No-brainer: Morphological Computation driven Adaptive Behavior in Soft Robots


No-harm calibration for generalized Oaxaca-Blinder estimators


No-propagate algorithm for linear responses of random chaotic systems


No-reference geometry quality assessment for colorless point clouds via list-wise rank learning


NoCoLA: The Norwegian Corpus of Linguistic Acceptability


NoCodeGPT: A No-Code Interface for Building Web Apps with Language Models


NoLiMa: Long-Context Evaluation Beyond Literal Matching


NoLoCo: No-all-reduce Low Communication Training Method for Large Models


NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention


NoPPA: Non-Parametric Pairwise Attention Random Walk Model for Sentence Representation


NoPain: No-box Point Cloud Attack via Optimal Transport Singular Boundary


NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior


NoPropaganda at SemEval-2020 Task 11: A Borrowed Approach to Sequence Tagging and Text Classification


NoRA: A Tensor Network Ansatz for Volume-Law Entangled Equilibrium States of Highly Connected Hamiltonians


NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps


NoScope: Optimizing Neural Network Queries over Video at Scale


NoTeeline: Supporting Real-Time, Personalized Notetaking with LLM-Enhanced Micronotes


NoX: a Compact Open-Source RISC-V Processor for Multi-Processor Systems-on-Chip


NocPlace: Nocturnal Visual Place Recognition via Generative and Inherited Knowledge Transfer


Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world


Nodal Hydraulic Head Estimation through Unscented Kalman Filter for Data-driven Leak Localization in Water Networks


Nodal Set Openings on Perturbed Rectangular Domains


Node Alertness-Detecting changes in rapidly evolving graphs


Node Attribute Prediction on Multilayer Networks with Weighted and Directed Edges


Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms


Node Classification for Signed Social Networks Using Diffuse Interface Methods


Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding


Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction


Node Dependent Local Smoothing for Scalable Graph Learning


Node Duplication Improves Cold-start Link Prediction


Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks


Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation


Node Embedding via Word Embedding for Network Community Discovery


Node Embedding with Adaptive Similarities for Scalable Learning over Graphs


Node Embeddings and Exact Low-Rank Representations of Complex Networks


Node Feature Kernels Increase Graph Convolutional Network Robustness


Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning


Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs


Node Injection Attack Based on Label Propagation Against Graph Neural Network


Node Injection for Class-specific Network Poisoning


Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding


Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data


Node and Edge Nonlinear Eigenvector Centrality for Hypergraphs


Node and layer eigenvector centralities for multiplex networks


Node pruning reveals compact and optimal substructures within large networks


Node-Aligned Graph-to-Graph (NAG2G): Elevating Template-Free Deep Learning Approaches in Single-Step Retrosynthesis


Node-based Knowledge Graph Contrastive Learning for Medical Relationship Prediction


Node-oriented Spectral Filtering for Graph Neural Networks


Node-reconfiguring multilayer networks of human brain function


Node-screening tests for L0-penalized least-squares problem with supplementary material


Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews


Node-wise Diffusion for Scalable Graph Learning


Node-wise Localization of Graph Neural Networks


NodeCoder: a graph-based machine learning platform to predict active sites of modeled protein structures


NodeMixup: Tackling Under-Reaching for Graph Neural Networks


NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule Detection and Segmentation


Noether's razor: Learning Conserved Quantities


NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels


NoisET: Noise learning and Expansion detection of T-cell receptors


NoisFre: Noise-Tolerant Memory Fingerprints from Commodity Devices for Security Functions


Noise Adaption Network for Morse Code Image Classification


Noise Adaptive Speech Enhancement using Domain Adversarial Training


Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models


Noise Calibration and Spatial-Frequency Interactive Network for STEM Image Enhancement


Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models


Noise Conditional Variational Score Distillation


Noise Conscious Training of Non Local Neural Network powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising


Noise Contrastive Alignment of Language Models with Explicit Rewards


Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognition


Noise Covariances Identification by MDM: Weighting, Recursion, and Implementation


Noise Detection with Spectator Qubits and Quantum Feature Engineering


Noise Dynamics of Quantum Annealers: Estimating the Effective Noise Using Idle Qubits


Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning


Noise Filtering Benchmark for Neuromorphic Satellites Observations


Noise Flow: Noise Modeling with Conditional Normalizing Flows


Noise Homogenization via Multi-Channel Wavelet Filtering for High-Fidelity Sample Generation in GANs


Noise Injection Reveals Hidden Capabilities of Sandbagging Language Models


Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification


Noise Is Not the Main Factor Behind the Gap Between SGD and Adam on Transformers, but Sign Descent Might Be


Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRI


Noise May Contain Transferable Knowledge: Understanding Semi-supervised Heterogeneous Domain Adaptation from an Empirical Perspective


Noise Modeling in One Hour: Minimizing Preparation Efforts for Self-supervised Low-Light RAW Image Denoising


Noise Optimization for Artificial Neural Networks


Noise Reduction in X-ray Photon Correlation Spectroscopy with Convolutional Neural Networks Encoder-Decoder Models


Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization Approach


Noise and Edge Based Dual Branch Image Manipulation Detection


Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation


Noise generation for compression algorithms


Noise or Signal: The Role of Image Backgrounds in Object Recognition


Noise robust neural network architecture


Noise suppression in photon-counting CT using unsupervised Poisson flow generative models


Noise transfer for unsupervised domain adaptation of retinal OCT images


Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization


Noise-Adaptive Conformal Classification with Marginal Coverage


Noise-Agnostic Quantum Error Mitigation with Data Augmented Neural Models


Noise-Assisted Variational Quantum Thermalization


Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning


Noise-Aware Differentially Private Regression via Meta-Learning


Noise-Aware Speech Separation with Contrastive Learning


Noise-Aware Statistical Inference with Differentially Private Synthetic Data


Noise-Free Explanation for Driving Action Prediction


Noise-Free Sampling Algorithms via Regularized Wasserstein Proximals


Noise-Induced Randomization in Regression Discontinuity Designs


Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising


Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels


Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning


Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting


Noise-aware Learning from Web-crawled Image-Text Data for Image Captioning


Noise-aware Physics-informed Machine Learning for Robust PDE Discovery


Noise-aware Speech Enhancement using Diffusion Probabilistic Model


Noise-based Local Learning using Stochastic Magnetic Tunnel Junctions


Noise-free Optimization in Early Training Steps for Image Super-Resolution


Noise-free comparison of stochastic agent-based simulations using common random numbers


Noise-induced aggregation of swimmers in the Kolmogorov flow


Noise-induced chaos: a conditioned random dynamics perspective


Noise-reduction techniques for 1H-FID-MRSI at 14.1T: Monte-Carlo validation & in vivo application


Noise-resilient phase estimation with randomized compiling


Noise-resistant Deep Metric Learning with Ranking-based Instance Selection


Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions


Noise-robust Speech Separation with Fast Generative Correction


Noise-robust proofs of quantum network nonlocality


Noise2Fast: Fast Self-Supervised Single Image Blind Denoising


Noise2Image: Noise-Enabled Static Scene Recovery for Event Cameras


Noise2Inverse: Self-supervised deep convolutional denoising for tomography


Noise2Noise Denoising of CRISM Hyperspectral Data


Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising


Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean Images


Noise2Self: Blind Denoising by Self-Supervision


Noise2Weight: On Detecting Payload Weight from Drones Acoustic Emissions


NoiseAttack: An Evasive Sample-Specific Multi-Targeted Backdoor Attack Through White Gaussian Noise


NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition


NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models


NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and Merging


NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation


NoiseGrad: Enhancing Explanations by Introducing Stochasticity to Model Weights


NoiseHGNN: Synthesized Similarity Graph-Based Neural Network For Noised Heterogeneous Graph Representation Learning


Noiseless Privacy-Preserving Decentralized Learning


Noisereduce: Domain General Noise Reduction for Time Series Signals


Noisier2Inverse: Self-Supervised Learning for Image Reconstruction with Correlated Noise


Noisy Batch Active Learning with Deterministic Annealing


Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach


Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation?


Noisy Channel Language Model Prompting for Few-Shot Text Classification


Noisy Concurrent Training for Efficient Learning under Label Noise


Noisy Correspondence Learning with Meta Similarity Correction


Noisy Coupled Qubits: Operator Spreading and the Fredrickson-Andersen Model


Noisy Differentiable Architecture Search


Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis


Noisy Heuristics NAS: A Network Morphism based Neural Architecture Search using Heuristics


Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation


Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate


Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods


Noisy Pairing and Partial Supervision for Stylized Opinion Summarization


Noisy Self-Knowledge Distillation for Text Summarization


Noisy Self-Training with Data Augmentations for Offensive and Hate Speech Detection Tasks


Noisy Self-Training with Synthetic Queries for Dense Retrieval


Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data


Noisy Test-Time Adaptation in Vision-Language Models


Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based Models


Noisy Zero-Shot Coordination: Breaking The Common Knowledge Assumption In Zero-Shot Coordination Games


Noisy intermediate-scale quantum algorithm for semidefinite programming


Noisy quantum metrology enhanced by continuous nondemolition measurement


Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted Image


Noisy-Correspondence Learning for Text-to-Image Person Re-identification


Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization


Noisy-Labeled NER with Confidence Estimation


NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy Labels


NoisyCUR: An algorithm for two-cost budgeted matrix completion


NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise


NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning


NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers


NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs


NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing


NollySenti: Leveraging Transfer Learning and Machine Translation for Nigerian Movie Sentiment Classification


NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition


Nominal Class Assignment in Swahili: A Computational Account


Non-Abelian dynamics on a cube: improving quantum compilation through qudit-based simulations


Non-Adversarial Imitation Learning and its Connections to Adversarial Methods


Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching


Non-Adversarial Video Synthesis with Learned Priors


Non-Asymptotic Delay Bounds for Multi-Server Systems with Synchronization Constraints


Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning


Non-Atomic Arbitrage in Decentralized Finance


Non-Autoregressive Coarse-to-Fine Video Captioning


Non-Autoregressive Dialog State Tracking


Non-Autoregressive Document-Level Machine Translation


Non-Autoregressive Math Word Problem Solver with Unified Tree Structure


Non-Autoregressive Text Generation with Pre-trained Language Models


Non-Autoregressive Translation by Learning Target Categorical Codes


Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision


Non-Binary LDPC Arithmetic Error Correction For Processing-in-Memory


Non-Birkhoff periodic orbits in symmetric billiards


Non-Compositionality in Sentiment: New Data and Analyses


Non-Contact Health Monitoring During Daily Personal Care Routines


Non-Contrastive Self-Supervised Learning of Utterance-Level Speech Representations


Non-Contrastive Unsupervised Learning of Physiological Signals from Video


Non-Convex Exact Community Recovery in Stochastic Block Model


Non-Convex Optimization with Spectral Radius Regularization


Non-Convex Tensor Low-Rank Approximation for Infrared Small Target Detection


Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models


Non-Deterministic Face Mask Removal Based On 3D Priors


Non-Elitist Selection Can Improve the Performance of Irace


Non-Euclidean Mixture Model for Social Network Embedding


Non-Euclidean Monotone Operator Theory and Applications


Non-Euclidean Sliced Optimal Transport Sampling


Non-Euclidean Spatial Graph Neural Network


Non-Exchangeable Conformal Language Generation with Nearest Neighbors


Non-Excludable Bilateral Trade Between Groups


Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks


Non-Exponential Behaviour in Logical Randomized Benchmarking


Non-Exponential Reverberation Modeling Using Dark Velvet Noise


Non-Fluent Synthetic Target-Language Data Improve Neural Machine Translation


Non-Gaussian Gaussian Processes for Few-Shot Regression


Non-Gaussian Risk Bounded Trajectory Optimization for Stochastic Nonlinear Systems in Uncertain Environments


Non-Gaussianity in CMB lensing from full-sky simulations


Non-Hermitian Fermi-Dirac Distribution in Persistent Current Transport


Non-Hermitian Numerical Renormalization Group: Solution of the non-Hermitian Kondo model


Non-Homogeneous Haze Removal via Artificial Scene Prior and Bidimensional Graph Reasoning


Non-Homophilic Graph Pre-Training and Prompt Learning


Non-Intrusive Binaural Speech Intelligibility Prediction from Discrete Latent Representations


Non-Intrusive Reduced-Order Modeling Using Uncertainty-Aware Deep Neural Networks and Proper Orthogonal Decomposition: Application to Flood Modeling


Non-Invasive to Invasive: Enhancing FFA Synthesis from CFP with a Benchmark Dataset and a Novel Network


Non-Isometric Shape Matching via Functional Maps on Landmark-Adapted Bases


Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for Medical Image Segmentation


Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks


Non-Linear Inference Time Intervention: Improving LLM Truthfulness


Non-Linear Self-Interference Cancellation via Tensor Completion


Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings


Non-Local Recurrent Network for Image Restoration


Non-Local Representation based Mutual Affine-Transfer Network for Photorealistic Stylization


Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms


Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning


Non-Matrix Tactile Sensors: How Can Be Exploited Their Local Connectivity For Predicting Grasp Stability?


Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation


Non-Monotonic Sequential Text Generation


Non-Myopic Multi-Objective Bayesian Optimization


Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation


Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning


Non-Orthogonal Multiple Access Assisted by Reconfigurable Intelligent Surface Using Unsupervised Machine Learning


Non-Orthogonal Reduction for Rendering Fluorescent Materials in Non-Spectral Engines


Non-Parallel Sequence-to-Sequence Voice Conversion with Disentangled Linguistic and Speaker Representations


Non-Parallel Text Style Transfer with Self-Parallel Supervision


Non-Parametric Analysis of Non-Equilibrium Simulations


Non-Parametric Calibration for Classification


Non-Parametric Domain Adaptation for End-to-End Speech Translation


Non-Parametric Estimation of Manifolds from Noisy Data


Non-Parametric Few-Shot Learning for Word Sense Disambiguation


Non-Parametric Inference Adaptive to Intrinsic Dimension


Non-Parametric Inference of Relational Dependence


Non-Parametric Memory Guidance for Multi-Document Summarization


Non-Parametric Online Learning from Human Feedback for Neural Machine Translation


Non-Parametric Spherical Jeans Mass Estimation with B-splines


Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation


Non-Plug-In Estimators Could Outperform Plug-In Estimators: a Cautionary Note and a Diagnosis


Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL


Non-Projective Dependency Parsing via Latent Heads Representation (LHR)


Non-Projective Dependency Parsing with Non-Local Transitions


Non-Promise Version of Unique Sink Orientations


Non-Quantum Behaviors of Configuration-Space Density Formulations of quantum mechanics


Non-Reciprocal Interactions Reshape Topological Defect Annihilation


Non-Registration Change Detection: A Novel Change Detection Task and Benchmark Dataset


Non-Rigid Point Set Registration Networks


Non-Rigid Volume to Surface Registration using a Data-Driven Biomechanical Model


Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation


Non-Sequential Graph Script Induction via Multimedia Grounding


Non-Sparse PCA in High Dimensions via Cone Projected Power Iteration


Non-Stationary First-Order Primal-Dual Algorithms with Fast NonErgodic Convergence Rates


Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo


Non-Stationary Latent Auto-Regressive Bandits


Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism


Non-Sturmian sequences of matrices providing the maximum growth rate of matrix products


Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization


Non-Uniform Illumination Attack for Fooling Convolutional Neural Networks


Non-Uniform Memory Sampling in Experience Replay


Non-Vacuous Generalisation Bounds for Shallow Neural Networks


Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach


Non-Vacuous Generalization Bounds for Large Language Models


Non-Vacuum Solutions, Gravitational Collapse and Discrete Singularity Theorems in Wolfram Model Systems


Non-adversarial training of Neural SDEs with signature kernel scores


Non-agency interventions for causal mediation in the presence of intermediate confounding


Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation


Non-asymptotic convergence analysis of the stochastic gradient Hamiltonian Monte Carlo algorithm with discontinuous stochastic gradient with applications to training of ReLU neural networks


Non-asymptotic convergence bounds for modified tamed unadjusted Langevin algorithm in non-convex setting


Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function


Non-asymptotic moment bounds for random variables rounded to non-uniformly spaced sets


Non-autoregressive Error Correction for CTC-based ASR with Phone-conditioned Masked LM


Non-autoregressive Machine Translation with Probabilistic Context-free Grammar


Non-autoregressive Sequence-to-Sequence Vision-Language Models


Non-autoregressive Streaming Transformer for Simultaneous Translation


Non-autoregressive Text Editing with Copy-aware Latent Alignments


Non-averaged regularized formulations as an alternative to semi-analytical orbit propagation methods


Non-bifurcating phylogenetic tree inference via the adaptive LASSO


Non-binary deep transfer learning for image classification


Non-blocking programmable delay line with minimal dead time and tens of picoseconds jitter


Non-centering for discrete-valued state transition models: an application to ESBL-producing E. coli transmission in Malawi


Non-collective Calibrating Strategy for Time Series Forecasting


Non-collinear 2k antiferromagnetism in the Zintl semiconductor Eu$_5$In$_2$Sb$_6$


Non-concave stochastic optimal control in finite discrete time under model uncertainty


Non-contact photoacoustic imaging with a silicon photonics-based Laser Doppler Vibrometer


Non-convex Finite-Sum Optimization Via SCSG Methods


Non-convex Global Minimization and False Discovery Rate Control for the TREX


Non-convex Lasso-kind approach to compressed sensing for finite-valued signals


Non-convex Learning via Replica Exchange Stochastic Gradient MCMC


Non-convex Quadratic Programming Using Coherent Optical Networks


Non-convex regularization in remote sensing


Non-coplanar gravitational lenses and the "communication bridge"


Non-destructive Degradation Pattern Decoupling for Ultra-early Battery Prototype Verification Using Physics-informed Machine Learning


Non-distributional Word Vector Representations


Non-equilibrium Growth and Twist of Cross-Linked Collagen Fibrils


Non-equilibrium time-dependent solution to discrete choice with social interactions


Non-ergodicity on SU(2) and SU(3) character varieties of the once-punctured torus


Non-formality of Voronov's Swiss-Cheese operads


Non-geodesically-convex optimization in the Wasserstein space


Non-ideal magnetohydrodynamics on a moving mesh II: Hall effect


Non-inferiority of Deep Learning Acute Ischemic Stroke Segmentation on Non-Contrast CT Compared to Expert Neuroradiologists


Non-intrusive Balancing Transformation of Highly Stiff Systems with Lightly-damped Impulse Response


Non-intrusive Surrogate Modeling for Parametrized Time-dependent PDEs using Convolutional Autoencoders


Non-intrusive reduced-order models for parametric partial differential equations via data-driven operator inference


Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping


Non-isotropy Regularization for Proxy-based Deep Metric Learning


Non-iterative Calculation of Quasi-Dynamic Energy Flow in the Heat and Electricity Integrated Energy Systems


Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration


Non-line-of-Sight Imaging via Neural Transient Fields


Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning


Non-linear CMB lensing with neutrinos and baryons: FLAMINGO simulations vs. fast approximations


Non-linear Gaussian smoothing with Taylor moment expansion


Non-linear Mediation Analysis with High-dimensional Mediators whose Causal Structure is Unknown


Non-linear Motion Estimation for Video Frame Interpolation using Space-time Convolutions


Non-linear Neurons with Human-like Apical Dendrite Activations


Non-linear Three-mode Coupling of Gravity Modes in Rotating Slowly Pulsating B Stars: Stationary Solutions and Modeling Potential


Non-linear Triple Changes Estimator for Targeted Policies


Non-linear responses and three-particle correlators in correlated electron systems exemplified by the Anderson impurity model


Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders


Non-linear-enabled localization in driven-dissipative photonic lattices


Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem


Non-negative matrix factorization algorithms greatly improve topic model fits


Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics


Non-normality and non-monotonic dynamics in complex reaction networks


Non-overlapping, Schwarz-type Domain Decomposition Method for Physics and Equality Constrained Artificial Neural Networks


Non-parametric Bayesian approach to extrapolation problems in configuration interaction methods


Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo


Non-parametric Differentially Private Confidence Intervals for the Median


Non-parametric Estimation of Stochastic Differential Equations with Sparse Gaussian Processes


Non-parametric Greedy Optimization of Parametric Quantum Circuits


Non-parametric Quantile Regression via the K-NN Fused Lasso


Non-parametric Uni-modality Constraints for Deep Ordinal Classification


Non-parametric analysis of the Hubble Diagram with Neural Networks


Non-parametric calibration of multiple related radiocarbon determinations and their calendar age summarisation


Non-parametric causal effects based on longitudinal modified treatment policies


Non-parametric efficient estimation of marginal structural models with multi-valued time-varying treatments


Non-parametric estimation of net survival under dependence between death causes


Non-parametric estimation of transition intensities in interval censored Markov multi-state models without loops


Non-parametric identification of single-lined binary candidates in young clusters using single-epoch spectroscopy


Non-parametric inference on calibration of predicted risks


Non-parametric multiple change-point detection


Non-parametric online market regime detection and regime clustering for multidimensional and path-dependent data structures


Non-parametric regularization for class imbalance federated medical image classification


Non-perturbative intertwining between spin and charge correlations: A "smoking gun" single-boson-exchange result


Non-perturbative probability distribution function for cosmological counts in cells


Non-principal axis rotation in binary asteroid systems and how it weakens the BYORP effect


Non-resonant Anomaly Detection with Background Extrapolation


Non-rigid Point Cloud Registration for Middle Ear Diagnostics with Endoscopic Optical Coherence Tomography


Non-rigid Point Cloud Registration with Neural Deformation Pyramid


Non-smooth Bayesian Optimization in Tuning Problems


Non-standard power grid frequency statistics in Asia, Australia, and Europe


Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms


Non-stationary Diffusion For Probabilistic Time Series Forecasting


Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data


Non-stationary Gaussian random fields on hypersurfaces: Sampling and strong error analysis


Non-stationary Spatio-Temporal Modeling Using the Stochastic Advection-Diffusion Equation


Non-topological logarithmic corrections in minimal gauged supergravity


Non-uniform Speaker Disentanglement For Depression Detection From Raw Speech Signals


Non-uniqueness of stationary measures for stochastic systems with almost surely invariant manifolds


Non-unitary Coupled Cluster Enabled by Mid-circuit Measurements on Quantum Computers


Non-unitary enhanced transfer efficiency in quantum walk search on complex networks


Non-vanishing sharp-fronted travelling wave solutions of the Fisher-Kolmogorov model


Non-wellfounded trees in Homotopy Type Theory


Non-zero-sum Game Control for Multi-vehicle Driving via Reinforcement Learning


Nonbacktracking spectral clustering of nonuniform hypergraphs


Nonclosedness of Sets of Neural Networks in Sobolev Spaces


Noncommutative polynomial optimization under symmetry


Nonconvex optimization and convergence of stochastic gradient descent, and solution of asynchronous game


Nonconvex optimization for optimum retrieval of the transmission matrix of a multimode fiber


Nonconvex penalization of switching control of partial differential equations


Nonconvex regularization for sparse neural networks


Noncoplanar magnetic orders and gapless chiral spin liquid on the kagome lattice with staggered scalar spin chirality


Nondeterminism and Instability in Neural Network Optimization


Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs


None Class Ranking Loss for Document-Level Relation Extraction


Nonequilibrium Phase Transition in a 2D Ferromagnetic Spins with Effective Interactions


Nonequilibrium antigen recognition during infections and vaccinations


Nonequilibrium free-energy calculation of phase-boundaries using LAMMPS


Nonequilibrium relaxation of a trapped particle in a near-critical Gaussian field


Nonequilibrium thermodynamics of the asymmetric Sherrington-Kirkpatrick model


Nonequispaced Fast Fourier Transform Boost for the Sinkhorn Algorithm


Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation


Nonexistence of Smooth Effective One Fixed Point Actions of Finite Oliver Groups on Low-dimensional Spheres


Nonhomogeneous hidden semi-Markov models for toroidal data


Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks


Nonideality-aware training makes memristive networks more robust to adversarial attacks


Noninvasive megapixel fluorescence microscopy through scattering layers by a virtual reflection-matrix


Noninvasive precision modulation of high-level neural population activity via natural vision perturbations


Nonlinear 3D Cosmic Web Simulation with Heavy-Tailed Generative Adversarial Networks


Nonlinear Assimilation via Score-based Sequential Langevin Sampling


Nonlinear Causal Discovery via Kernel Anchor Regression


Nonlinear Causal Discovery with Confounders


Nonlinear Conjugate Gradients For Scaling Synchronous Distributed DNN Training


Nonlinear Control Allocation Using A Piecewise Multi-Linear Representation


Nonlinear Craig Interpolant Generation over Unbounded Domains by Separating Semialgebraic Sets


Nonlinear Dendritic Coincidence Detection for Supervised Learning


Nonlinear Dynamic Systems Parameterization Using Interval-Based Global Optimization: Computing Lipschitz Constants and Beyond


Nonlinear Dynamics of Quadratic Gravity in Spherical Symmetry


Nonlinear Expectation Inference for Efficient Uncertainty Quantification and History Matching of Transient Darcy Flows in Porous Media with Random Parameters Under Distribution Uncertainty


Nonlinear Field-split Preconditioners for Solving Monolithic Phase-field Models of Brittle Fracture


Nonlinear Filtering and Spatial Asymptotic Consistency for SPDEs Observed via Spatio-Temporal Point Processes


Nonlinear Granger Causality using Kernel Ridge Regression


Nonlinear Independent Component Analysis for Discrete-Time and Continuous-Time Signals


Nonlinear Intensity, Scale and Rotation Invariant Matching for Multimodal Images


Nonlinear Kalman Filtering with Reparametrization Gradients


Nonlinear Least Squares for Large-Scale Machine Learning using Stochastic Jacobian Estimates


Nonlinear MCMC for Bayesian Machine Learning


Nonlinear MPC for Quadrotors in Close-Proximity Flight with Neural Network Downwash Prediction


Nonlinear Model Predictive Control Based on Constraint-Aware Particle Filtering/Smoothing


Nonlinear Model Predictive Control of a 3D Hopping Robot: Leveraging Lie Group Integrators for Dynamically Stable Behaviors


Nonlinear Model Reduction to Temporally Aperiodic Spectral Submanifolds


Nonlinear Modified PageRank Problem for Local Graph Partitioning


Nonlinear Multi-Objective Flux Balance Analysis of the Warburg Effect


Nonlinear PCA for Spatio-Temporal Analysis of Earth Observation Data


Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks


Nonlinear Principal Component Analysis with Random Bernoulli Features for Process Monitoring


Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks


Nonlinear Regression with Residuals: Causal Estimation with Time-varying Treatments and Covariates


Nonlinear Residual Echo Suppression Based on Multi-stream Conv-TasNet


Nonlinear Semi-Parametric Models for Survival Analysis


Nonlinear Sufficient Dimension Reduction for Distribution-on-Distribution Regression


Nonlinear Systems Identification Using Deep Dynamic Neural Networks


Nonlinear Transform Source-Channel Coding for Semantic Communications


Nonlinear Vibrations in the Fullerene Molecule $C_{60}$


Nonlinear analysis of forced mechanical systems with internal resonance using spectral submanifolds, Part I: Periodic response and forced response curve


Nonlinear association structures in flexible Bayesian additive joint models


Nonlinear blind source separation exploiting spatial nonstationarity


Nonlinear computations in spiking neural networks through multiplicative synapses


Nonlinear conjugate gradient methods: worst-case convergence rates via computer-assisted analyses


Nonlinear demixed component analysis for neural population data as a low-rank kernel regression problem


Nonlinear dynamics of localization in neural receptive fields


Nonlinear dynamics of molecular superrotors


Nonlinear eigenvalue methods for linear pointwise stability of nonlinear waves


Nonlinear ensemble filtering with diffusion models: Application to the surface quasi-geostrophic dynamics


Nonlinear evolution of initially biased tracers in modified gravity


Nonlinear generalization of the monotone single index model


Nonlinear matrix recovery using optimization on the Grassmann manifold


Nonlinear methods to quantify Movement Variability in Human-Humanoid Interaction Activities


Nonlinear model reduction for operator learning


Nonlinear model reduction for slow-fast stochastic systems near unknown invariant manifolds


Nonlinear model reduction on metric spaces. Application to one-dimensional conservative PDEs in Wasserstein spaces


Nonlinear optical encoding enabled by recurrent linear scattering


Nonlinear optimals and their role in sustaining turbulence in channel flow


Nonlinear port-Hamiltonian system identification from input-state-output data


Nonlinear proper orthogonal decomposition for convection-dominated flows


Nonlinear quantum computing by amplified encodings


Nonlinear social evolution and the emergence of collective action


Nonlinear spectral analysis extracts harmonics from land-atmosphere fluxes


Nonlinear state-space identification using deep encoder networks


Nonlinear stationary subdivision schemes that reproduce trigonometric functions


Nonlinear system identification with regularized Tensor Network B-splines


NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia


Nonlocal Co-occurrence for Image Downscaling


Nonlocality and Strength of Interatomic Interactions Inducing the Topological Phonon Phase Transition


Nonmonotone Globalization for Anderson Acceleration via Adaptive Regularization


Nonnegative Gaussian process tomography for generalized segmented planar detectors


Nonnegative Matrix Factorization (NMF) with Heteroscedastic Uncertainties and Missing data


Nonnegative Tensor Decomposition Via Collaborative Neurodynamic Optimization


Nonnegative-Constrained Joint Collaborative Representation with Union Dictionary for Hyperspectral Anomaly Detection


Nonparallel High-Quality Audio Super Resolution with Domain Adaptation and Resampling CycleGANs


Nonparametric Bayes Differential Analysis of Multigroup DNA Methylation Data


Nonparametric Bayes multiresolution testing for high-dimensional rare events


Nonparametric Bayesian Deconvolution of a Symmetric Unimodal Density


Nonparametric Bayesian Deep Networks with Local Competition


Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks


Nonparametric Bayesian approach for dynamic borrowing of historical control data


Nonparametric Bayesian multi-armed bandits for single cell experiment design


Nonparametric Bootstrap Inference for the Targeted Highly Adaptive LASSO Estimator


Nonparametric Causal Decomposition of Group Disparities


Nonparametric Causal Survival Analysis with Clustered Interference


Nonparametric Change Point Detection in Regression


Nonparametric Conditional Local Independence Testing


Nonparametric Continuous Sensor Registration


Nonparametric Decoding for Generative Retrieval


Nonparametric Density Estimation from Markov Chains


Nonparametric Density Flows for MRI Intensity Normalisation


Nonparametric Estimation for a Log-concave Distribution Function with Interval-censored Data


Nonparametric Estimation in Uniform Deconvolution and Interval Censoring


Nonparametric Estimation in the Dynamic Bradley-Terry Model


Nonparametric FBST for Validating Linear Models


Nonparametric IPSS: Fast, flexible feature selection with false discovery control


Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients


Nonparametric Iterative Machine Teaching


Nonparametric Learning of Two-Layer ReLU Residual Units


Nonparametric Linear Feature Learning in Regression Through Regularisation


Nonparametric Modeling of Diffusion MRI Signal in Q-space


Nonparametric Monitoring of Spatial Dependence


Nonparametric Reduced-Rank Regression for Multi-SNP, Multi-Trait Association Mapping


Nonparametric Regression in Nonstandard Spaces


Nonparametric Simulation Extrapolation for Measurement Error Models


Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces


Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems


Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation


Nonparametric Teaching for Multiple Learners


Nonparametric Tests for Treatment Effect Heterogeneity with Duration Outcomes


Nonparametric Time Series Summary Statistics for High-Frequency Accelerometry Data from Individuals with Advanced Dementia


Nonparametric Trend Estimation in Functional Time Series with Application to Annual Mortality Rates


Nonparametric Uncertainty Quantification for Single Deterministic Neural Network


Nonparametric Value-at-Risk via Sieve Estimation


Nonparametric causal inference for optogenetics: sequential excursion effects for dynamic regimes


Nonparametric causal mediation analysis for stochastic interventional (in)direct effects


Nonparametric classification with missing data


Nonparametric clustering of RNA-sequencing data


Nonparametric directional variogram estimation in the presence of outlier blocks


Nonparametric empirical Bayes biomarker imputation and estimation


Nonparametric estimation in a regression model with additive and multiplicative noise


Nonparametric estimation of continuous DPPs with kernel methods


Nonparametric estimation of the total treatment effect with multiple outcomes in the presence of terminal events


Nonparametric estimation of trawl processes: Theory and Applications


Nonparametric extensions of randomized response for private confidence sets


Nonparametric false discovery rate control for identifying simultaneous signals


Nonparametric forecasting of low-dimensional dynamical systems


Nonparametric identification is not enough, but randomized controlled trials are


Nonparametric independence tests in high-dimensional settings, with applications to the genetics of complex disease


Nonparametric modal regression with missing response observations


Nonparametric modeling of the composite effect of multiple nutrients on blood glucose dynamics


Nonparametric plug-in classifier for multiclass classification of S.D.E. paths


Nonparametric priors with full-range borrowing of information


Nonparametric signal separation in very-high-energy gamma ray observations with probabilistic neural networks


Nonparametric worst-case bounds for publication bias on the summary receiver operating characteristic curve


Nonparametric, data-based kernel interpolation for particle-tracking simulations and kernel density estimation


Nonperturbative $φ^4$ potentials: Phase transitions and light horizons


Nonperturbative study of the electroweak phase transition in the real scalar singlet extended Standard Model


Nonrigid Reconstruction of Freehand Ultrasound without a Tracker


Nonsmooth Convex Optimization using the Specular Gradient Method with Root-Linear Convergence


Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates


Nonstationary Continuum-Armed Bandit Strategies for Automated Trading in a Simulated Financial Market


Nonstationary Sparse Spectral Permanental Process


Nonstationary Spatial Process Models with Spatially Varying Covariance Kernels


Nonstationary data stream classification with online active learning and siamese neural networks


Nonuniform abstractions, refinement and controller synthesis with novel BDD encodings


Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation


Nonvanishing of Second Coefficients of Hecke Polynomials on the Newspace


Nonzero-sum Adversarial Hypothesis Testing Games


Nooks: Social Spaces to Lower Hesitations in Interacting with New People at Work


NorBench -- A Benchmark for Norwegian Language Models


NorDiaChange: Diachronic Semantic Change Dataset for Norwegian


NorDial: A Preliminary Corpus of Written Norwegian Dialect Use


NorEval: A Norwegian Language Understanding and Generation Evaluation Benchmark


NorNE: Annotating Named Entities for Norwegian


NorQuAD: Norwegian Question Answering Dataset


Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditions


Norface: Improving Facial Expression Analysis by Identity Normalization


Norm of Mean Contextualized Embeddings Determines their Variance


Norm-Based Curriculum Learning for Neural Machine Translation


Norm-Preservation: Why Residual Networks Can Become Extremely Deep?


Norm-Stabilized Imaginary-Time Evolution via Feedback Control


Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment


NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Models


NormBank: A Knowledge Bank of Situational Social Norms


NormDial: A Comparable Bilingual Synthetic Dialog Dataset for Modeling Social Norm Adherence and Violation


NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques


NormKD: Normalized Logits for Knowledge Distillation


Normal Learning in Videos with Attention Prototype Network


Normal Quaternionic Matrices and Finitely Generated Witt Rings


Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction


Normal-NeRF: Ambiguity-Robust Normal Estimation for Highly Reflective Scenes


NormalFlow: Fast, Robust, and Accurate Contact-based Object 6DoF Pose Tracking with Vision-based Tactile Sensors


NormalGAN: Learning Detailed 3D Human from a Single RGB-D Image


Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning


Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination


Normalization Enhances Generalization in Visual Reinforcement Learning


Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers


Normalization Layers Are All That Sharpness-Aware Minimization Needs


Normalization by Evaluation for Call-by-Push-Value and Polarized Lambda-Calculus


Normalization effects on deep neural networks


Normalization effects on shallow neural networks and related asymptotic expansions


Normalization in Training U-Net for 2D Biomedical Semantic Segmentation


Normalization-Equivariant Neural Networks with Application to Image Denoising


Normalize Then Propagate: Efficient Homophilous Regularization for Few-shot Semi-Supervised Node Classification


Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability


Normalized Loss Functions for Deep Learning with Noisy Labels


Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation


Normalized additional velocity distribution: testing the radial profile of dark matter halos and MOND


Normalized power priors always discount historical data


Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data


Normalizing Batch Normalization for Long-Tailed Recognition


Normalizing Constant Estimation with Gaussianized Bridge Sampling


Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling


Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection


Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability


Normalizing Flow with Variational Latent Representation


Normalizing Flow-Assisted Nested Sampling on Type-II Seesaw Model


Normalizing Flow-Based Metric for Image Generation


Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion


Normalizing Flows are Capable Models for RL


Normalizing Flows for Bayesian Posteriors: Reproducibility and Deployment


Normalizing Flows for Conformal Regression


Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study


Normalizing Flows for High-Dimensional Detector Simulations


Normalizing Flows for Human Pose Anomaly Detection


Normalizing Flows for Interventional Density Estimation


Normalizing Flows for Knockoff-free Controlled Feature Selection


Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling


Normalizing Flows with Multi-Scale Autoregressive Priors


Normalizing constants of log-concave densities


Normalizing flow neural networks by JKO scheme


Normative Modeling for AD Diagnosis and Biomarker Identification


North Carolina COVID-19 Agent-Based Model Framework for Hospitalization Forecasting Overview, Design Concepts, and Details Protocol


North Sea Energy Islands: Impact on National Markets and Grids


North Sámi Dialect Identification with Self-supervised Speech Models


Nosey: Open-source hardware for acoustic nasalance


Nostra Domina at EvaLatin 2024: Improving Latin Polarity Detection through Data Augmentation


Not (yet) the whole story: Evaluating Visual Storytelling Requires More than Measuring Coherence, Grounding, and Repetition


Not All Attention is Needed: Parameter and Computation Efficient Transfer Learning for Multi-modal Large Language Models


Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses


Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model


Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation


Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning


Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features


Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis


Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models


Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement


Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting


Not All GPUs Are Created Equal: Characterizing Variability in Large-Scale, Accelerator-Rich Systems


Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning


Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation


Not All Language Model Features Are Linear


Not All Languages are Equal: Insights into Multilingual Retrieval-Augmented Generation


Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space


Not All Models Suit Expert Offloading: On Local Routing Consistency of Mixture-of-Expert Models


Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification


Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts


Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability


Not All Pixels Are Equal: Learning Pixel Hardness for Semantic Segmentation


Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds


Not All RDF is Created Equal: Investigating RDF Load Times on Resource-Constrained Devices


Not All SWAPs Have the Same Cost: A Case for Optimization-Aware Qubit Routing


Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization


Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation


Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing


Not All Tokens Are What You Need In Thinking


Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias


Not All Votes Count! Programs as Verifiers Improve Self-Consistency of Language Models for Math Reasoning


Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation


Not All the Same: Understanding and Informing Similarity Estimation in Tile-Based Video Games


Not Another Imputation Method: A Transformer-based Model for Missing Values in Tabular Datasets


Not Color Blind: AI Predicts Racial Identity from Black and White Retinal Vessel Segmentations


Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding


Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection


Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment


Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax


Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-View Data


Not Just Learning from Others but Relying on Yourself: A New Perspective on Few-Shot Segmentation in Remote Sensing


Not Just Object, But State: Compositional Incremental Learning without Forgetting


Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators


Not Just Streaks: Towards Ground Truth for Single Image Deraining


Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation


Not One to Rule Them All: Mining Meaningful Code Review Orders From GitHub


Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAM


Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models


Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's Apps


Not So Fast Kepler-1513: A Perturbing Planetary Interloper in the Exomoon Corridor


Not So Fast: Understanding and Mitigating Negative Impacts of Compiler Optimizations on Code Reuse Gadget Sets


Not Yet Another Digital ID: Privacy-preserving Humanitarian Aid Distribution


Not all Fake News is Written: A Dataset and Analysis of Misleading Video Headlines


Not all noise is accounted equally: How differentially private learning benefits from large sampling rates


Not all parameters are born equal: Attention is mostly what you need


Not all peaks are created equal: the early growth of Supermassive Black Holes


Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation


Not feeling the buzz: Correction study of mispricing and inefficiency in online sportsbooks


Not just winds: why models find binary black hole formation is metallicity dependent, while binary neutron star formation is not


Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization


Not one but many Tradeoffs: Privacy Vs. Utility in Differentially Private Machine Learning


Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision


Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care


Not too little, not too much: a theoretical analysis of graph (over)smoothing


Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection


Not with my name! Inferring artists' names of input strings employed by Diffusion Models


Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions


Not-NUTs at W-NUT 2020 Task 2: A BERT-based System in Identifying Informative COVID-19 English Tweets


Notably Inaccessible -- Data Driven Understanding of Data Science Notebook (In)Accessibility


Note on solving one-to-one matching models with linear transferable utility


NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text


NoteLLM-2: Multimodal Large Representation Models for Recommendation


Notebook articles: towards a transformative publishing experience in nonlinear science


Notes on Applicability of Explainable AI Methods to Machine Learning Models Using Features Extracted by Persistent Homology


Notes on osculations and mode tracing in semi-analytical waveguide modeling


Notes on the combinatorial fundamentals of algebra


Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks


NoticIA: A Clickbait Article Summarization Dataset in Spanish


Notions of Anonymity, Fairness and Symmetry for Finite Strategic-Form Games


Notip: Non-parametric True Discovery Proportion control for brain imaging


Notochord: a Flexible Probabilistic Model for Real-Time MIDI Performance


Noun2Verb: Probabilistic frame semantics for word class conversion


NovPhy: A Testbed for Physical Reasoning in Open-world Environments


Nova-LSM: A Distributed, Component-based LSM-tree Key-value Store


Novel Approach to Measure Motion-To-Photon and Mouth-To-Ear Latency in Distributed Virtual Reality Systems


Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets


Novel Bayesian algorithms for ARFIMA long-memory processes: a comparison between MCMC and ABC approaches


Novel Class Discovery for 3D Point Cloud Semantic Segmentation


Novel Class Discovery for Long-tailed Recognition


Novel Class Discovery for Ultra-Fine-Grained Visual Categorization


Novel Class Discovery in Semantic Segmentation


Novel Cosmological Tests from Combining Galaxy Lensing and the Polarized Sunyaev-Zel'dovich Effect


Novel Deep Learning Framework For Bovine Iris Segmentation


Novel Deep Neural OFDM Receiver Architectures for LLR Estimation


Novel Diffusion Models for Multimodal 3D Hand Trajectory Prediction


Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation


Novel Features for Time Series Analysis: A Complex Networks Approach


Novel Hybrid Integrated Pix2Pix and WGAN Model with Gradient Penalty for Binary Images Denoising


Novel Hybrid-Learning Algorithms for Improved Millimeter-Wave Imaging Systems


Novel Language Resources for Hindi: An Aesthetics Text Corpus and a Comprehensive Stop Lemma List


Novel Matrix Hit and Run for Sampling Polytopes and Its GPU Implementation


Novel Methods for the Analysis of Stepped Wedge Cluster Randomized Trials


Novel Models for Multiple Dependent Heteroskedastic Time Series


Novel Node Category Detection Under Subpopulation Shift


Novel Object 6D Pose Estimation with a Single Reference View


Novel Object Viewpoint Estimation through Reconstruction Alignment


Novel Policy Seeking with Constrained Optimization


Novel Prediction Techniques Based on Clusterwise Linear Regression


Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System


Novel Theorems and Algorithms Relating to the Collatz Conjecture


Novel View Synthesis for High-fidelity Headshot Scenes


Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder


Novel View Synthesis via Depth-guided Skip Connections


Novel and flexible parameter estimation methods for data-consistent inversion in mechanistic modeling


Novel approaches to urban science problems: human mobility description by physical analogy of electric circuit network based on GPS data


Novel clustered federated learning based on local loss


Novel computational approaches for ratio distributions with an application to Hake's ratio in effect size measurement


Novel constraints on the particle nature of dark matter from stellar streams


Novel methods for estimating the instantaneous and overall COVID-19 case fatality risk among care home residents in England


Novel oracle constructions for quantum random access memory


Novel performant primality test on a Pell's cubic


Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis


Novel transfer learning schemes based on Siamese networks and synthetic data


Novel-View Acoustic Synthesis from 3D Reconstructed Rooms


Novel-view X-ray Projection Synthesis through Geometry-Integrated Deep Learning


NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens


NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification


Novelpy: A Python package to measure novelty and disruptiveness of bibliometric and patent data


Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder


Novelty Detection in Sequential Data by Informed Clustering and Modeling


Novelty Detection on Radio Astronomy Data using Signatures


Novelty Detection via Robust Variational Autoencoding


Novelty Driven Evolutionary Neural Architecture Search


Novelty Search for Deep Reinforcement Learning Policy Network Weights by Action Sequence Edit Metric Distance


Novelty Search in Representational Space for Sample Efficient Exploration


Novelty and Cultural Evolution in Modern Popular Music


Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems


Novelty-based Sample Reuse for Continuous Robotics Control


NoviCode: Generating Programs from Natural Language Utterances by Novices


NovoMol: Recurrent Neural Network for Orally Bioavailable Drug Design and Validation on PDGFRα Receptor


Now Let's Make It Physical: Enabling Physically Trusted Certificate Issuance for Keyless Security in CAs


Now you see it, Now you don't: Damage Label Agreement in Drone & Satellite Post-Disaster Imagery


Nowcasting Gentrification Using Airbnb Data


Nowcasting R&D Expenditures: A Machine Learning Approach


Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs


Nowcasting the 2022 mpox outbreak in England


Nowcasting with leading indicators applied to COVID-19 fatalities in Sweden


Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG


Nowhere to Go: Benchmarking Multi-robot Collaboration in Target Trapping Environment


Nowhere to Hide: Cross-modal Identity Leakage between Biometrics and Devices


Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression


NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological Images


NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and Classification


NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data


NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models


NuScenes-MQA: Integrated Evaluation of Captions and QA for Autonomous Driving Datasets using Markup Annotations


NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario


NuSegDG: Integration of Heterogeneous Space and Gaussian Kernel for Domain-Generalized Nuclei Segmentation


NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining


NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA


Nuclear Deployed: Analyzing Catastrophic Risks in Decision-making of Autonomous LLM Agents


Nuclear History, Politics, and Futures from (A)toms-to(Z)oom: Design and Deployment of a Remote-Learning Special-Topics Course For Nuclear Engineering Education


Nuclear compensatory evolution driven by mito-nuclear incompatibilities


Nuclear data evaluation with Bayesian networks


Nuclear ground-state properties probed by the relativistic Hartree-Bogoliubov approach


Nuclear norm regularized loop optimization for tensor network


Nucleation phenomena and extreme vulnerability of spatial k-core systems


Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network


Nuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Training


Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images


Nugget Proposal Networks for Chinese Event Detection


NuiScene: Exploring Efficient Generation of Unbounded Outdoor Scenes


NukeBERT: A Pre-trained language model for Low Resource Nuclear Domain


Null Hypothesis Test for Anomaly Detection


Null-sampling for Interpretable and Fair Representations


NullFace: Training-Free Localized Face Anonymization


NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds


NumHG: A Dataset for Number-Focused Headline Generation


NumPSLA -- An experimental research tool for pseudoline arrangements and order types


NumS: Scalable Array Programming for the Cloud


NumScout: Unveiling Numerical Defects in Smart Contracts using LLM-Pruning Symbolic Execution


NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors


Number Cookbook: Number Understanding of Language Models and How to Improve It


Number Density of Peaks in a Chi-Squared Field


Number Representations in LLMs: A Computational Parallel to Human Perception


Number it: Temporal Grounding Videos like Flipping Manga


Numbers Matter! Bringing Quantity-awareness to Retrieval Systems


Numerical Accuracy of the Derivative-Expansion-Based Functional Renormalization Group


Numerical Analysis of the 1-D Parabolic Optimal Transport Problem


Numerical Analysis of the Causal Action Principle in Low Dimensions


Numerical Calabi-Yau metrics from holomorphic networks


Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis


Numerical Composition of Differential Privacy


Numerical Conformal bootstrap with Analytic Functionals and Outer Approximation


Numerical Continuation and Bifurcation Analysis in a Harvested Predator-Prey Model with Time Delay using DDE-Biftool


Numerical Continuation and Bifurcation in Nonlinear PDEs: Stability, invasion and wavetrains in the Swift-Hohenberg equation


Numerical Coordinate Regression with Convolutional Neural Networks


Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density Approach


Numerical Evaluation of Mittag-Leffler Functions


Numerical Evaluation of the Relativistic Magnetized Plasma Susceptibility Tensor and Faraday Rotation Coefficients


Numerical Evolution from the Hamiltonian


Numerical Fractional Optimal Control of Respiratory Syncytial Virus Infection in Octave/MATLAB


Numerical Implementation of Just-In-Time Decoding in Novel Lattice Slices Through the Three-Dimensional Surface Code


Numerical Literals in Link Prediction: A Critical Examination of Models and Datasets


Numerical Method for Simultaneous Design and Control Optimization of Seasonal Thermal Energy Storage Systems


Numerical Methods for Shape Optimal Design of Fluid-Structure Interaction Problems


Numerical Methods with Coordinate Transforms for Efficient Brownian Dynamics Simulations


Numerical Optimization Strategies for the Variational Hamiltonian Ansatz in Noisy Quantum Environments


Numerical RG-time integration of the effective potential: Analysis and Benchmark


Numerical Reasoning for Financial Reports


Numerical Simulations of Tidal Deformation and Resulting Light Curves of Small Bodies: Material Constraints of 99942 Apophis and 1I/`Oumuamua


Numerical Solution of the Parametric Diffusion Equation by Deep Neural Networks


Numerical Solution of the Steady-State Network Flow Equations for a Non-Ideal Gas


Numerical Stability Revisited: A Family of Benchmark Problems for the Analysis of Explicit Stochastic Differential Equation integrators


Numerical Stability of DeepGOPlus Inference


Numerical Techniques for Applications of Analytical Theories to Sequence-Dependent Phase Separations of Intrinsically Disordered Proteins


Numerical analysis of a FE/SAV scheme for a Caginalp phase field model with mechanical effects in stereolithography


Numerical analysis of a finite volume scheme for charge transport in perovskite solar cells


Numerical analysis of a first-order computational algorithm for reaction-diffusion equations via the primal-dual hybrid gradient method


Numerical analysis of effective models for flux-tunable transmon systems


Numerical analysis of spin foam dynamics and the flatness problem


Numerical analysis of the stochastic Stefan problem


Numerical approach to compressible shallow-water dynamics of neutron-star spreading layers


Numerical approximation based on deep convolutional neural network for high-dimensional fully nonlinear merged PDEs and 2BSDEs


Numerical approximation of statistical solutions of the incompressible Navier-Stokes Equations


Numerical approximation of viscous contact problems applied to glacial sliding


Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh Benard convection


Numerical calculation of Green's function and momentum distribution for spin-polarized fermions by path integral molecular dynamics


Numerical computation of Stephenson's g-functions in multiply connected domains


Numerical computation of effective thermal equilibrium in Stochastically Switching Langevin Systems


Numerical computation of endomorphism rings


Numerical computation of second order vacuum perturbations of Kerr black holes


Numerical computation of the capacity of generalized condensers


Numerical considerations and a new implementation for ICS


Numerical differentiation of noisy data: A unifying multi-objective optimization framework


Numerical equality tests for rational maps and signatures of curves


Numerical evaluation of ODE solutions by Monte Carlo enumeration of Butcher series


Numerical evaluation of spin foam amplitudes beyond simplices


Numerical evaluation of the Gauss hypergeometric function: Implementation and application to Schramm-Loewner evolution


Numerical evidence for many-body localization in two and three dimensions


Numerical evidence of fluctuating stripes in the normal state of high-Tc cuprate superconductors


Numerical experiments on stationary, oscillating, and damped spherical galaxy models


Numerical explorations of solvent borne adhesives: A lattice-based approach to morphology formation


Numerical generation of vector potentials from specified magnetic fields


Numerical homotopies from Khovanskii bases


Numerical implementation of evolution equations for twist-3 collinear PDFs


Numerical influence of ReLU'(0) on backpropagation


Numerical integration in celestial mechanics: a case for contact geometry


Numerical investigation of reversed gas feed configurations for Hall thrusters


Numerical investigations of the bulk-surface wave pinning model


Numerical method for approximately optimal solutions of two-stage distributionally robust optimization with marginal constraints


Numerical method for feasible and approximately optimal solutions of multi-marginal optimal transport beyond discrete measures


Numerical methods and hypoexponential approximations for gamma distributed delay differential equations


Numerical methods for interface coupling of compressible and almost incompressible media


Numerical modeling and open-source implementation of variational partition-of-unity localizations of space-time dual-weighted residual estimators for parabolic problems


Numerical modeling of specimen geometry for quantitative energy dispersive X-ray spectroscopy


Numerical optimization of Neumann eigenvalues of domains in the sphere


Numerical optimization of aviation decarbonization scenarios: balancing traffic and emissions with maturing energy carriers and aircraft technology


Numerical optimization of quantum vacuum signals


Numerical over-approximation of invariance entropy via finite abstractions


Numerical quadratures for near-singular and near-hypersingular integrals in boundary element methods


Numerical relativity for Horndeski gravity


Numerical semigroups via projections and via quotients


Numerical semigroups with embedding dimension three and minimal catenary degree


Numerical simulation of Feller's diffusion equation


Numerical simulation of electron magnetohydrodynamics with Landau-quantized electrons in magnetar crusts


Numerical simulation, clustering and prediction of multi-component polymer precipitation


Numerical simulations of inflationary dynamics: slow roll and beyond


Numerical simulations of viscous fingering in fractured porous media


Numerical solution of a PDE arising from prediction with expert advice


Numerical solution of kinetic SPDEs via stochastic Magnus expansion