Solving Decision-Dependent Robust Problems as Bilevel Optimization Problems


Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks


Solving Differential Equations using Physics-Informed Deep Equilibrium Models


Solving Dual Sourcing Problems with Supply Mode Dependent Failure Rates


Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement Learning


Solving Dynamic Principal-Agent Problems with a Rationally Inattentive Principal


Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models


Solving Elliptic Problems with Singular Sources using Singularity Splitting Deep Ritz Method


Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning


Solving Fredholm Integral Equations of the First Kind via Wasserstein Gradient Flows


Solving Hard Analogy Questions with Relation Embedding Chains


Solving High Frequency and Multi-Scale PDEs with Gaussian Processes


Solving High-Dimensional PDEs with Latent Spectral Models


Solving Inefficiency of Self-supervised Representation Learning


Solving Inequality Proofs with Large Language Models


Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement Learning


Solving Inverse Computational Imaging Problems using Deep Pixel-level Prior


Solving Inverse Obstacle Scattering Problem with Latent Surface Representations


Solving Inverse Physics Problems with Score Matching


Solving Inverse Problem for Multi-armed Bandits via Convex Optimization


Solving Inverse Problems With Deep Neural Networks -- Robustness Included?


Solving Inverse Problems via Diffusion Optimal Control


Solving Inverse Problems with Hybrid Deep Image Priors: the challenge of preventing overfitting


Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency


Solving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures


Solving Label Variation in Scientific Information Extraction via Multi-Task Learning


Solving Large Multicommodity Network Flow Problems on GPUs


Solving Large Scale Structure in Ten Easy Steps with COLA


Solving Large-Scale Dynamic Vehicle Routing Problems with Stochastic Requests


Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP


Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality


Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models


Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser


Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo


Solving Long-run Average Reward Robust MDPs via Stochastic Games


Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier


Solving Low-Rank Semidefinite Programs via Manifold Optimization


Solving Masked Jigsaw Puzzles with Diffusion Vision Transformers


Solving Math Word Problem with Problem Type Classification


Solving Math Word Problems by Combining Language Models With Symbolic Solvers


Solving Math Word Problems via Cooperative Reasoning induced Language Models


Solving Math Word Problems with Reexamination


Solving Max-Min Fair Resource Allocations Quickly on Large Graphs


Solving Missing-Annotation Object Detection with Background Recalibration Loss


Solving Multi-Configuration Problems: A Performance Analysis with Choco Solver


Solving Multi-Model MDPs by Coordinate Ascent and Dynamic Programming


Solving Multi-Structured Problems by Introducing Linkage Kernels into GOMEA


Solving Multiagent Planning Problems with Concurrent Conditional Effects


Solving N-player dynamic routing games with congestion: a mean field approach


Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach


Solving NMF with smoothness and sparsity constraints using PALM


Solving Newton's Equations of Motion with Large Timesteps using Recurrent Neural Networks based Operators


Solving Offline Reinforcement Learning with Decision Tree Regression


Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective


Solving PDEs on Unknown Manifolds with Machine Learning


Solving Partial Assignment Problems using Random Clique Complexes


Solving Partial Differential Equations with Equivariant Extreme Learning Machines


Solving Partial Differential Equations with Random Feature Models


Solving Phase Retrieval with a Learned Reference


Solving Physics Puzzles by Reasoning about Paths


Solving Poisson Equations using Neural Walk-on-Spheres


Solving Poisson Problems in Polygonal Domains with Singularity Enriched Physics Informed Neural Networks


Solving Portfolio Optimization Problems Using MOEA/D and Levy Flight


Solving Quantified Modal Logic Problems by Translation to Classical Logics


Solving Quantum Statistical Mechanics with Variational Autoregressive Networks and Quantum Circuits


Solving RED with Weighted Proximal Methods


Solving Robot Assembly Tasks by Combining Interactive Teaching and Self-Exploration


Solving Roughly Forced Nonlinear PDEs via Misspecified Kernel Methods and Neural Networks


Solving Sample-Level Out-of-Distribution Detection on 3D Medical Images


Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration With Provable Guarantees


Solving Satisfiability of Polynomial Formulas By Sample-Cell Projection


Solving Schrödinger Bridges via Maximum Likelihood


Solving Schrödinger bridge problem via continuous normalizing flow


Solving Sequential Manipulation Puzzles by Finding Easier Subproblems


Solving Sokoban using Hierarchical Reinforcement Learning with Landmarks


Solving Strong-Substitutes Product-Mix Auctions


Solving Structured Hierarchical Games Using Differential Backward Induction


Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis


Solving The Lunar Lander Problem under Uncertainty using Reinforcement Learning


Solving The Travelling Salesmen Problem using HNN and HNN-SA algorithms


Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model


Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptation


Solving Tree Problems with Category Theory


Solving Turbulent Rayleigh-Bénard Convection using Fourier Neural Operators


Solving Unbalanced Optimal Transport on Point Cloud by Tangent Radial Basis Function Method


Solving Zero-Shot 3D Visual Grounding as Constraint Satisfaction Problems


Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods


Solving a Class of Non-Convex Minimax Optimization in Federated Learning


Solving a Continent-Scale Inventory Routing Problem at Renault


Solving a class of multi-scale elliptic PDEs by means of Fourier-based mixed physics informed neural networks


Solving a linear program via a single unconstrained minimization


Solving and Generating NPR Sunday Puzzles with Large Language Models


Solving continuum and rarefied flows using differentiable programming


Solving differential equations using physics informed deep learning: a hand-on tutorial with benchmark tests


Solving differential equations with Deep Learning: a beginner's guide


Solving eigenvalue PDEs of metastable diffusion processes using artificial neural networks


Solving equations and optimization problems with uncertainty


Solving estimating equations with copulas


Solving for X and Beyond: Can Large Language Models Solve Complex Math Problems with More-Than-Two Unknowns?


Solving general elliptical mixture models through an approximate Wasserstein manifold


Solving graph problems with single-photons and linear optics


Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks


Solving higher-order Lane-Emden-Fowler type equations using physics-informed neural networks: benchmark tests comparing soft and hard constraints


Solving internal covariate shift in deep learning with linked neurons


Solving inverse problems using conditional invertible neural networks


Solving inverse problems via auto-encoders


Solving mathematical programs with complementarity constraints arising in nonsmooth optimal control


Solving morphological analogies: from retrieval to generation


Solving multiphysics-based inverse problems with learned surrogates and constraints


Solving path dependent PDEs with LSTM networks and path signatures


Solving rescheduling problems in heterogeneous urban railway networks using hybrid quantum-classical approach


Solving reward-collecting problems with UAVs: a comparison of online optimization and Q-learning


Solving stiff ordinary differential equations using physics informed neural networks (PINNs): simple recipes to improve training of vanilla-PINNs


Solving stochastic partial differential equations using neural networks in the Wiener chaos expansion


Solving stochastic weak Minty variational inequalities without increasing batch size


Solving systems of Boolean multivariate equations with quantum annealing


Solving systems of phaseless equations via Kaczmarz methods: A proof of concept study


Solving the Alhazen-Ptolemy Problem: Determining Specular Points on Spherical Surfaces for Radiative Transfer of Titan's Seas


Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind


Solving the Best Subset Selection Problem via Suboptimal Algorithms


Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization


Solving the Catastrophic Forgetting Problem in Generalized Category Discovery


Solving the Challenge Set without Solving the Task: On Winograd Schemas as a Test of Pronominal Coreference Resolution


Solving the Empirical Bayes Normal Means Problem with Correlated Noise


Solving the Exponential Growth of Symbolic Regression Trees in Geometric Semantic Genetic Programming


Solving the Hele-Shaw flow using the Harrow-Hassidim-Lloyd algorithm on superconducting devices: A study of efficiency and challenges


Solving the Identifying Code Set Problem with Grouped Independent Support


Solving the Integrated Bin Allocation and Collection Routing Problem for Municipal Solid Waste: a Benders Decomposition Approach


Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey


Solving the Kidney Exchange Problem Using Privacy-Preserving Integer Programming (Updated and Extended Version)


Solving the One-Dimensional Time-Independent Schrödinger Equation with High Accuracy: The LagrangeMesh Mathematica Package


Solving the Optimal Experiment Design Problem with Mixed-Integer Convex Methods


Solving the Poisson equation using coupled Markov chains


Solving the Product Breakdown Structure Problem with constrained QAOA


Solving the Real Robot Challenge using Deep Reinforcement Learning


Solving the Resource Constrained Project Scheduling Problem Using the Parallel Tabu Search Designed for the CUDA Platform


Solving the Right Problem is Key for Translational NLP: A Case Study in UMLS Vocabulary Insertion


Solving the Steiner Tree Problem with few Terminals


Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning


Solving the Tree Containment Problem Using Graph Neural Networks


Solving the Weather4cast Challenge via Visual Transformers for 3D Images


Solving the Wide-band Inverse Scattering Problem via Equivariant Neural Networks


Solving the all pairs shortest path problem after minor update of a large dense graph


Solving the clustered traveling salesman problem with d-relaxed priority rule


Solving the enigma: Deriving optimal explanations of deep networks


Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network


Solving the sampling problem of the Sycamore quantum circuits


Solving the scalarization issues of Advantage-based Reinforcement Learning Algorithms


Somatomotor-Visual Resting State Functional Connectivity Increases After Two Years in the UK Biobank Longitudinal Cohort


Some Bounds Related to the 2-adic Littlewood Conjecture


Some Considerations on Learning to Explore via Meta-Reinforcement Learning


Some Features of the Modified Solid-Liquid-Vapor Equation of State


Some Fundamental Aspects about Lipschitz Continuity of Neural Networks


Some Grammatical Errors are Frequent, Others are Important


Some Insights into Lifelong Reinforcement Learning Systems


Some Issues in Predictive Ethics Modeling: An Annotated Contrast Set of "Moral Stories"


Some Like It Small: Czech Semantic Embedding Models for Industry Applications


Some Like it Hoax: Automated Fake News Detection in Social Networks


Some New Results on the Maximum Growth Factor in Gaussian Elimination


Some Notes on the Use of the Windowed Fourier Transform for Spectral Analysis of Discretely Sampled Data


Some Orders Are Important: Partially Preserving Orders in Top-Quality Planning


Some Practice for Improving the Search Results of E-commerce


Some Stylometric Remarks on Ovid's Heroides and the Epistula Sapphus


Some aspects of probability distribution for percolation of several fluids on the hexagonal lattice


Some contributions to Lagrangian modelling of Power Converters


Some evidence for the Coleman-Oort conjecture


Some explicit results on the sum of a prime and an almost prime


Some families of trees arising in permutation analysis


Some mathematical and computational relations between timbre and color


Some minimal bimolecular mass-action systems with limit cycles


Some notes concerning a generalized KMM-type optimization method for density ratio estimation


Some novel aspects of quantile regression: local stationarity, random forests and optimal transportation


Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers


Some remarks on regularized Shannon sampling formulas


Some results on Lepton Flavour Universality Violation


Some uniform effective results on André--Oort for sums of powers in $\mathbb{C}^n$


Sometimes the Model doth Preach: Quantifying Religious Bias in Open LLMs through Demographic Analysis in Asian Nations


SomnNET: An SpO2 Based Deep Learning Network for Sleep Apnea Detection in Smartwatches


SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms


SonarT165: A Large-scale Benchmark and STFTrack Framework for Acoustic Object Tracking


Sonata: Self-Supervised Learning of Reliable Point Representations


Song Recommendation with Non-Negative Matrix Factorization and Graph Total Variation


SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement


SongComposer: A Large Language Model for Lyric and Melody Generation in Song Composition


SongEval: A Benchmark Dataset for Song Aesthetics Evaluation


SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation


SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint


Songs Across Borders: Singable and Controllable Neural Lyric Translation


SonicVerse: Multi-Task Learning for Music Feature-Informed Captioning


Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear


Sonnet or Not, Bot? Poetry Evaluation for Large Models and Datasets


Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting


SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound


SonoTraceLab - A Raytracing-Based Acoustic Modelling System for Simulating Echolocation Behavior of Bats


Sonorant spectra and coarticulation distinguish speakers with different dialects


Sonority Measurement Using System, Source, and Suprasegmental Information


SophiaVL-R1: Reinforcing MLLMs Reasoning with Thinking Reward


Sophisticated Students in Boston Mechanism and Gale-Shapley Algorithm for School Choice Problem


Sora Detector: A Unified Hallucination Detection for Large Text-to-Video Models


Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models


Sorcha: A Solar System Survey Simulator for the Legacy Survey of Space and Time


Sorrel: A simple and flexible framework for multi-agent reinforcement learning


Sorrel: an IDE Plugin for Managing Licenses and Detecting License Incompatibilities


Sorting Finite Automata via Partition Refinement


Sorting and labelling integral ideals in a number field


Soteria: Language-Specific Functional Parameter Steering for Multilingual Safety Alignment


SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression


SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations


Soulstyler: Using Large Language Model to Guide Image Style Transfer for Target Object


Sound Adversarial Audio-Visual Navigation


Sound Demixing Challenge 2023 Music Demixing Track Technical Report: TFC-TDF-UNet v3


Sound Design Strategies for Latent Audio Space Explorations Using Deep Learning Architectures


Sound Event Detection Using Spatial Features and Convolutional Recurrent Neural Network


Sound Event Detection and Time-Frequency Segmentation from Weakly Labelled Data


Sound Event Detection of Weakly Labelled Data with CNN-Transformer and Automatic Threshold Optimization


Sound Event Detection with Adaptive Frequency Selection


Sound Event Detection with Depthwise Separable and Dilated Convolutions


Sound Event Localization and Detection using Squeeze-Excitation Residual CNNs


Sound Field Estimation Using Deep Kernel Learning Regularized by the Wave Equation


Sound Field Reconstruction Using Physics-Informed Boundary Integral Networks


Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability Objectives


Sound Localization by Self-Supervised Time Delay Estimation


Sound Localization from Motion: Jointly Learning Sound Direction and Camera Rotation


Sound Natural: Content Rephrasing in Dialog Systems


Sound Randomized Smoothing in Floating-Point Arithmetics


Sound Regular Expression Semantics for Dynamic Symbolic Execution of JavaScript


Sound Source Distance Estimation in Diverse and Dynamic Acoustic Conditions


Sound and Complete Neural Network Repair with Minimality and Locality Guarantees


Sound and Complete Verification of Polynomial Networks


Sound event localization and detection based on crnn using rectangular filters and channel rotation data augmentation


Sound field reconstruction in rooms: inpainting meets super-resolution


Sound of Story: Multi-modal Storytelling with Audio


Sound propagation in realistic interactive 3D scenes with parameterized sources using deep neural operators


Sound-Dr: Reliable Sound Dataset and Baseline Artificial Intelligence System for Respiratory Illnesses


Sound-Guided Semantic Image Manipulation


Sound-to-Vibration Transformation for Sensorless Motor Health Monitoring


Sound2Synth: Interpreting Sound via FM Synthesizer Parameters Estimation


Sound2Vision: Generating Diverse Visuals from Audio through Cross-Modal Latent Alignment


SoundCLR: Contrastive Learning of Representations For Improved Environmental Sound Classification


SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation


SoundCollage: Automated Discovery of New Classes in Audio Datasets


SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models


SoundSil-DS: Deep Denoising and Segmentation of Sound-field Images with Silhouettes


SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning


Soundbay: Deep Learning Framework for Marine Mammals and Bioacoustic Research


Sounding Bodies: Modeling 3D Spatial Sound of Humans Using Body Pose and Audio


Sounding Out Reconstruction Error-Based Evaluation of Generative Models of Expressive Performance


Sounding Spider: An Efficient Way for Representing Uncertainties in High Dimensions


Sounding Video Generator: A Unified Framework for Text-guided Sounding Video Generation


Soundini: Sound-Guided Diffusion for Natural Video Editing


Soundness conditions for big-step semantics


Soundscape Captioning using Sound Affective Quality Network and Large Language Model


Soundwave: Less is More for Speech-Text Alignment in LLMs


Source Code Clone Detection Using Unsupervised Similarity Measures


Source Code Data Augmentation for Deep Learning: A Survey


Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases


Source Code Summarization in the Era of Large Language Models


Source Code Summarization with Structural Relative Position Guided Transformer


Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer


Source Free Unsupervised Graph Domain Adaptation


Source Identification in Abstractive Summarization


Source Localization for Cross Network Information Diffusion


Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems


Source Localization on Graphs via l1 Recovery and Spectral Graph Theory


Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging


Source Prompt Disentangled Inversion for Boosting Image Editability with Diffusion Models


Source Separation of Multi-source Raw Music using a Residual Quantized Variational Autoencoder


Source Separation with Deep Generative Priors


Source Separation-based Data Augmentation for Improved Joint Beat and Downbeat Tracking


Source Tracing: Detecting Voice Spoofing


Source detection via multi-label classification


Source noise suppression in attosecond transient absorption spectroscopy by edge-pixel referencing


Source-Aware Training Enables Knowledge Attribution in Language Models


Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration


Source-Free Collaborative Domain Adaptation via Multi-Perspective Feature Enrichment for Functional MRI Analysis


Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning


Source-Free Domain Adaptation for Question Answering with Masked Self-training


Source-Free Domain Adaptation for SSVEP-based Brain-Computer Interfaces


Source-Free Domain Adaptation for YOLO Object Detection


Source-Free Domain Adaptation with Temporal Imputation for Time Series Data


Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher


Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling


Source-Free Progressive Graph Learning for Open-Set Domain Adaptation


Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale


Source-Guided Similarity Preservation for Online Person Re-Identification


Source-LDA: Enhancing probabilistic topic models using prior knowledge sources


Source-free Active Domain Adaptation for Diabetic Retinopathy Grading Based on Ultra-wide-field Fundus Image


Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation


Source-free Domain Adaptive Human Pose Estimation


Source-free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition


Source-free domain adaptation based on label reliability for cross-domain bearing fault diagnosis


Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation


Source-primed Multi-turn Conversation Helps Large Language Models Translate Documents


Source-sink dynamics in a two-patch SI epidemic model with life stages and no recovery from infection


Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation


Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation


Sources of Hallucination by Large Language Models on Inference Tasks


Sources of Transfer in Multilingual Named Entity Recognition


Sources of Uncertainty in 3D Scene Reconstruction


Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning


Sowing the Wind, Reaping the Whirlwind: The Impact of Editing Language Models


Soy: An Efficient MILP Solver for Piecewise-Affine Systems


Soybean Maturity Prediction using 2D Contour Plots from Drone based Time Series Imagery


SoybeanNet: Transformer-Based Convolutional Neural Network for Soybean Pod Counting from Unmanned Aerial Vehicle (UAV) Images


SpATr: MoCap 3D Human Action Recognition based on Spiral Auto-encoder and Transformer Network


SpArX: Sparse Argumentative Explanations for Neural Networks [Technical Report]


SpComm3D: A Framework for Enabling Sparse Communication in 3D Sparse Kernels


SpEL: Structured Prediction for Entity Linking


SpEuler: Semantics-preserving Euler Diagrams


SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network


SpICE: An interpretable method for spatial data


SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression


SpReME: Sparse Regression for Multi-Environment Dynamic Systems


SpaCE-10: A Comprehensive Benchmark for Multimodal Large Language Models in Compositional Spatial Intelligence


SpaCE: The Spatial Confounding Environment


SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seq


SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low computational Overhead


SpaGBOL: Spatial-Graph-Based Orientated Localisation


SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models


SpaRED benchmark: Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion


SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis


SpaRTAN: Spatial Reinforcement Token-based Aggregation Network for Visual Recognition


Space Decomposition for Sentence Embedding


Space Mapping for PDE Constrained Shape Optimization


Space Non-cooperative Object Active Tracking with Deep Reinforcement Learning


Space Warps: I. Crowd-sourcing the Discovery of Gravitational Lenses


Space evaluation based on pitch control using drone video in Ultimate


Space-Aware Instruction Tuning: Dataset and Benchmark for Guide Dog Robots Assisting the Visually Impaired


Space-Efficient Indexes for Uncertain Strings


Space-Efficient Random Walks on Streaming Graphs


Space-Time Correspondence as a Contrastive Random Walk


Space-Time Duality between Quantum Chaos and Non-Hermitian Boundary Effect


Space-Time-Separable Graph Convolutional Network for Pose Forecasting


Space-based gravitational wave signal detection and extraction with deep neural network


Space-efficient binary optimization for variational computing


Space-scale Exploration of the Poor Reliability of Deep Learning Models: the Case of the Remote Sensing of Rooftop Photovoltaic Systems


Space-time 2D Gaussian Splatting for Accurate Surface Reconstruction under Complex Dynamic Scenes


Space-time Mixing Attention for Video Transformer


Space-time block preconditioning for incompressible flow


Space-time upscaling of reactive transport in porous media


Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network


SpaceByte: Towards Deleting Tokenization from Large Language Modeling


SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels


SpaceGroupIrep: A package for irreducible representations of space group


SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images


SpaceNLI: Evaluating the Consistency of Predicting Inferences in Space


SpaceNet: Make Free Space For Continual Learning


Spacecraft Anomaly Detection with Attention Temporal Convolution Network


Spaced seeds improve k-mer-based metagenomic classification


Spacematch: Using environmental preferences to match occupants to suitable activity-based workspaces


Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face


Spacetime $E(n)$-Transformer: Equivariant Attention for Spatio-temporal Graphs


Spacetime Autoencoders Using Local Causal States


Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis


Spacetime-Efficient Low-Depth Quantum State Preparation with Applications


Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data


Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising


Spacing Loss for Discovering Novel Categories


Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection


SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection


Spams meet Cryptocurrencies: Sextortion in the Bitcoin Ecosystem


Span Classification with Structured Information for Disfluency Detection in Spoken Utterances


Span Detection for Aspect-Based Sentiment Analysis in Vietnamese


Span Model for Open Information Extraction on Accurate Corpus


Span Selection Pre-training for Question Answering


Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles


Span-based Localizing Network for Natural Language Video Localization


Span-based Named Entity Recognition by Generating and Compressing Information


Span-based Semantic Parsing for Compositional Generalization


Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n^6) down to O(n^3)


SpanEmo: Casting Multi-label Emotion Classification as Span-prediction


SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training


SpanNER: Named Entity Re-/Recognition as Span Prediction


SpanSeq: Similarity-based sequence data splitting method for improved development and assessment of deep learning projects


Spanish Legalese Language Model and Corpora


Spanish TrOCR: Leveraging Transfer Learning for Language Adaptation


Spanish and English Phoneme Recognition by Training on Simulated Classroom Audio Recordings of Collaborative Learning Environments


SpannerLib: Embedding Declarative Information Extraction in an Imperative Workflow


Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data


Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning


Spanning Tree-based Query Plan Enumeration


Spanning and Splitting: Integer Semidefinite Programming for the Quadratic Minimum Spanning Tree Problem


Spannotation: Enhancing Semantic Segmentation for Autonomous Navigation with Efficient Image Annotation


SparCA: Sparse Compressed Agglomeration for Feature Extraction and Dimensionality Reduction


SparCL: Sparse Continual Learning on the Edge


SparQ Attention: Bandwidth-Efficient LLM Inference


SparQLe: Speech Queries to Text Translation Through LLMs


SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks


Sparcle: Boosting the Accuracy of Data Cleaning Systems through Spatial Awareness


Spark NLP: Natural Language Understanding at Scale


Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens


SparkNet: Training Deep Networks in Spark


Sparklen: A Statistical Learning Toolkit for High-Dimensional Hawkes Processes in Python


Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models


Sparks of Quantum Advantage and Rapid Retraining in Machine Learning


SparrowVQE: Visual Question Explanation for Course Content Understanding


Sparse 3D Reconstruction via Object-Centric Ray Sampling


Sparse Activations as Conformal Predictors


Sparse Adversarial Attack to Object Detection


Sparse Adversarial Video Attacks with Spatial Transformations


Sparse Algorithms for Markovian Gaussian Processes


Sparse Attention Decomposition Applied to Circuit Tracing


Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences


Sparse Autoencoder Features for Classifications and Transferability


Sparse Autoencoder as a Zero-Shot Classifier for Concept Erasing in Text-to-Image Diffusion Models


Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models


Sparse Autoregressive Neural Networks for Classical Spin Systems


Sparse Bayesian Deep Learning for Dynamic System Identification


Sparse Bayesian Generative Modeling for Compressive Sensing


Sparse Bayesian Multidimensional Item Response Theory


Sparse Bayesian inference on gamma-distributed observations using shape-scale inverse-gamma mixtures


Sparse Bayesian mass-mapping using trans-dimensional MCMC


Sparse Bayesian multidimensional scaling(s)


Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth Completion


Sparse Binarization for Fast Keyword Spotting


Sparse Bounded Degree Sum of Squares Optimization for Certifiably Globally Optimal Rotation Averaging


Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding


Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes


Sparse Cholesky factorization by Kullback-Leibler minimization


Sparse Coding Frontend for Robust Neural Networks


Sparse Coding in a Dual Memory System for Lifelong Learning


Sparse Coding with Multi-Layer Decoders using Variance Regularization


Sparse Communication via Mixed Distributions


Sparse Continuous Distributions and Fenchel-Young Losses


Sparse Convex Optimization Toolkit: A Mixed-Integer Framework


Sparse Data-Driven Random Projection in Regression for High-Dimensional Data


Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration


Sparse Density Trees and Lists: An Interpretable Alternative to High-Dimensional Histograms


Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models


Sparse Distributed Memory is a Continual Learner


Sparse Double Descent in Vision Transformers: real or phantom threat?


Sparse Double Descent: Where Network Pruning Aggravates Overfitting


Sparse Dynamic Distribution Decomposition: Efficient Integration of Trajectory and Snapshot Time Series Data


Sparse Ellipsoidal Radial Basis Function Network for Point Cloud Surface Representation


Sparse Ellipsometry: Portable Acquisition of Polarimetric SVBRDF and Shape with Unstructured Flash Photography


Sparse Estimation with the Swept Approximated Message-Passing Algorithm


Sparse Expansion and Neuronal Disentanglement


Sparse Factor Analysis for Categorical Data with the Group-Sparse Generalized Singular Value Decomposition


Sparse Factorization of Large Square Matrices


Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models


Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring


Sparse Fine-tuning for Inference Acceleration of Large Language Models


Sparse Function-space Representation of Neural Networks


Sparse Functional Boxplots for Multivariate Curves


Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion


Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-Domain


Sparse Gaussian Process Potentials: Application to Lithium Diffusivity in Superionic Conducting Solid Electrolytes


Sparse Gaussian Process Variational Autoencoders


Sparse Generation: Making Pseudo Labels Sparse for Point Weakly Supervised Object Detection on Low Data Volume


Sparse Graph Learning from Spatiotemporal Time Series


Sparse Graphical Memory for Robust Planning


Sparse Graphs for Belief Propagation Decoding of Polar Codes


Sparse HP Filter: Finding Kinks in the COVID-19 Contact Rate


Sparse Horseshoe Estimation via Expectation-Maximisation


Sparse Identification of Slow Timescale Dynamics


Sparse Identification of Truncation Errors


Sparse Interaction Neighborhood Selection for Markov Random Fields via Reversible Jump and Pseudoposteriors


Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression


Sparse Kronecker Product Decomposition: A General Framework of Signal Region Detection in Image Regression


Sparse L0-norm based Kernel-free Quadratic Surface Support Vector Machines


Sparse Label Smoothing Regularization for Person Re-Identification


Sparse Lens Inversion Technique (SLIT): lens and source separability from linear inversion of the source reconstruction problem


Sparse Linear Mixed Model Selection via Streamlined Variational Bayes


Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning


Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models


Sparse Logistic Regression with High-order Features for Automatic Grammar Rule Extraction from Treebanks


Sparse Low-rank Adaptation of Pre-trained Language Models


Sparse M-estimators in semi-parametric copula models


Sparse Methods for Automatic Relevance Determination


Sparse Mixture Models inspired by ANOVA Decompositions


Sparse Mixture of Local Experts for Efficient Speech Enhancement


Sparse Mixture-of-Experts are Domain Generalizable Learners


Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers


Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging


Sparse Modular Activation for Efficient Sequence Modeling


Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction


Sparse NMF with Archetypal Regularization: Computational and Robustness Properties


Sparse Networks from Scratch: Faster Training without Losing Performance


Sparse Object-level Supervision for Instance Segmentation with Pixel Embeddings


Sparse Optimization on Measures with Over-parameterized Gradient Descent


Sparse Overcomplete Word Vector Representations


Sparse Pairwise Re-ranking with Pre-trained Transformers


Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models


Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization


Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach


Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians


Sparse Pose Graph Optimization in Cycle Space


Sparse Prior Is Not All You Need: When Differential Directionality Meets Saliency Coherence for Infrared Small Target Detection


Sparse Probabilistic Circuits via Pruning and Growing


Sparse Probabilistic Synthesis of Quantum Operations


Sparse Prototype Network for Explainable Pedestrian Behavior Prediction


Sparse Quadratically Constrained Quadratic Programming via Semismooth Newton Method


Sparse Random Networks for Communication-Efficient Federated Learning


Sparse Reconstruction of Wavefronts using an Over-Complete Phase Dictionary


Sparse Reduced-Rank Regression for Simultaneous Rank and Variable Selection via Manifold Optimization


Sparse Regression: Scalable algorithms and empirical performance


Sparse Representation-based Open Set Recognition


Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes


Sparse Resource Allocation for Control of Spreading Processes via Convex Optimization


Sparse Reward Exploration via Novelty Search and Emitters


Sparse Rewards Can Self-Train Dialogue Agents


Sparse SVM for Sufficient Data Reduction


Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks


Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis


Sparse Separable Nonnegative Matrix Factorization


Sparse Signal Models for Data Augmentation in Deep Learning ATR


Sparse Signature Coefficient Recovery via Kernels


Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion


Sparse Spatial Transformers for Few-Shot Learning


Sparse Spectral Methods for Solving High-Dimensional and Multiscale Elliptic PDEs


Sparse Spikes Deconvolution on Thin Grids


Sparse Spiking Neural-like Membrane Systems on Graphics Processing Units


Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space


Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification


Sparse Suffix and LCP Array: Simple, Direct, Small, and Fast


Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction


Sparse Symplectically Integrated Neural Networks


Sparse Teachers Can Be Dense with Knowledge


Sparse Tensor PCA via Tensor Decomposition for Unsupervised Feature Selection


Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression


Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry


Sparse Training of Discrete Diffusion Models for Graph Generation


Sparse Transfer Learning via Winning Lottery Tickets


Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series Forecasting


Sparse Uncertainty-Informed Sampling from Federated Streaming Data


Sparse Unsupervised Capsules Generalize Better


Sparse Vicious Attacks on Graph Neural Networks


Sparse Visual Counterfactual Explanations in Image Space


Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering


Sparse Waypoint Validity Checking for Self-Entanglement-Free Tethered Path Planning


Sparse additive function decompositions facing basis transforms


Sparse additive models in high dimensions with wavelets


Sparse and Faithful Explanations Without Sparse Models


Sparse and Imperceivable Adversarial Attacks


Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm


Sparse and Orthogonal Low-rank Collective Matrix Factorization (solrCMF): Efficient data integration in flexible layouts


Sparse and Smooth Functional Data Clustering


Sparse autoencoders reveal selective remapping of visual concepts during adaptation


Sparse change detection in high-dimensional linear regression


Sparse data inpainting for the recovery of Galactic-binary gravitational wave signals from gapped data


Sparse data to structured imageset transformation


Sparse data-driven quadrature rules via $\ell^p$-quasi-norm minimization


Sparse dictionary learning recovers pleiotropy from human cell fitness screens


Sparse dynamic discretization discovery via arc-dependent time discretizations


Sparse dynamical system identification with simultaneous structural parameters and initial condition estimation


Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization


Sparse estimation for generalized exponential marked Hawkes process


Sparse estimation of parameter support sets for generalized vector autoregressions by resampling and model aggregation


Sparse hard-disk packings and local Markov chains


Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks


Sparse identification of nonlinear dynamics for model predictive control in the low-data limit


Sparse identification of nonlinear dynamics with low-dimensionalized flow representations


Sparse inference of the human hematopoietic system from heterogeneous and partially observed genomic data


Sparse inverse Cholesky factorization of dense kernel matrices by greedy conditional selection


Sparse learned kernels for interpretable and efficient medical time series processing


Sparse learning enabled by constraints on connectivity and function


Sparse multi-reference alignment: sample complexity and computational hardness


Sparse online variational Bayesian regression


Sparse patches adversarial attacks via extrapolating point-wise information


Sparse principal component regression via singular value decomposition approach


Sparse quadratic classification rules via linear dimension reduction


Sparse random hypergraphs: Non-backtracking spectra and community detection


Sparse recovery of elliptic solvers from matrix-vector products


Sparse system identification by low-rank approximation


Sparse then Prune: Toward Efficient Vision Transformers


Sparse topic modeling via spectral decomposition and thresholding


Sparse transition matrix estimation for high-dimensional and locally stationary vector autoregressive models


Sparse tree search optimality guarantees in POMDPs with continuous observation spaces


Sparse tree-based clustering of microbiome data to characterize microbiome heterogeneity in pancreatic cancer


Sparse vs Contiguous Adversarial Pixel Perturbations in Multimodal Models: An Empirical Analysis


Sparse, Dense, and Attentional Representations for Text Retrieval


Sparse-Dense Motion Modelling and Tracking for Manipulation without Prior Object Models


Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads


Sparse-Group Bayesian Feature Selection Using Expectation Propagation for Signal Recovery and Network Reconstruction


Sparse-Group Boosting with Balanced Selection Frequencies: A Simulation-Based Approach and R Implementation


Sparse-Input Neural Network using Group Concave Regularization


Sparse-Interest Network for Sequential Recommendation


Sparse-PGD: A Unified Framework for Sparse Adversarial Perturbations Generation


Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks


Sparse-Reg: Improving Sample Complexity in Offline Reinforcement Learning using Sparsity


Sparse-Tuning: Adapting Vision Transformers with Efficient Fine-tuning and Inference


Sparse-grid Discontinuous Galerkin Methods for the Vlasov-Poisson-Lenard-Bernstein Model


Sparse-group boosting -- Unbiased group and variable selection


Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps


Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation


Sparse2DGS: Geometry-Prioritized Gaussian Splatting for Surface Reconstruction from Sparse Views


SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters


SparseChem: Fast and accurate machine learning model for small molecules


SparseCoder: Identifier-Aware Sparse Transformer for File-Level Code Summarization


SparseCraft: Few-Shot Neural Reconstruction through Stereopsis Guided Geometric Linearization


SparseDC: Depth Completion from sparse and non-uniform inputs


SparseDNN: Fast Sparse Deep Learning Inference on CPUs


SparseDPD: A Sparse Neural Network-based Digital Predistortion FPGA Accelerator for RF Power Amplifier Linearization


SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation


SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification


SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection


SparseGNV: Generating Novel Views of Indoor Scenes with Sparse Input Views


SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot


SparseGS: Real-Time 360° Sparse View Synthesis using Gaussian Splatting


SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers


SparseJSR: A Fast Algorithm to Compute Joint Spectral Radius via Sparse SOS Decompositions


SparseLUT: Sparse Connectivity Optimization for Lookup Table-based Deep Neural Networks


SparseMM: Head Sparsity Emerges from Visual Concept Responses in MLLMs


SparseMask: Differentiable Connectivity Learning for Dense Image Prediction


SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis


SparsePoser: Real-time Full-body Motion Reconstruction from Sparse Data


SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks


SparseSat-NeRF: Dense Depth Supervised Neural Radiance Fields for Sparse Satellite Images


SparseStep: Approximating the Counting Norm for Sparse Regularization


SparseSwin: Swin Transformer with Sparse Transformer Block


SparseTT: Visual Tracking with Sparse Transformers


SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-Depth


SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference


Sparsely Aggregated Convolutional Networks


Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains


Sparsely Factored Neural Machine Translation


Sparseness-constrained Nonnegative Tensor Factorization for Detecting Topics at Different Time Scales


Sparseout: Controlling Sparsity in Deep Networks


Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initialization


Sparser, Better, Faster, Stronger: Sparsity Detection for Efficient Automatic Differentiation


Sparsest Models Elude Pruning: An Exposé of Pruning's Current Capabilities


Sparsification of Large Ultrametric Matrices: Insights into the Microbial Tree of Life


Sparsification of the regularized magnetic Laplacian with multi-type spanning forests


Sparsified State-Space Models are Efficient Highway Networks


Sparsifying Bayesian neural networks with latent binary variables and normalizing flows


Sparsifying Transformer Models with Trainable Representation Pooling


Sparsing Law: Towards Large Language Models with Greater Activation Sparsity


Sparsity May Be All You Need: Sparse Random Parameter Adaptation


Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!


Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation


Sparsity Winning Twice: Better Robust Generalization from More Efficient Training


Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting


Sparsity in Continuous-Depth Neural Networks


Sparsity is All You Need: Rethinking Biological Pathway-Informed Approaches in Deep Learning


Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel


Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention


Sparsity-Inducing Optimal Control via Differential Dynamic Programming


Sparsity-Promoting Reachability Analysis and Optimization of Constrained Zonotopes


Sparsity-based background removal for STORM super-resolution images


Sparsity-promoting algorithms for the discovery of informative Koopman invariant subspaces


Spatial Action Maps for Mobile Manipulation


Spatial Aggregation with Respect to a Population Distribution


Spatial Analysis of Neuromuscular Junctions Activation in Three-Dimensional Histology-based Muscle Reconstructions


Spatial Analysis of the Association between School Proximity and Crime in Philadelphia


Spatial Annealing for Efficient Few-shot Neural Rendering


Spatial Assisted Human-Drone Collaborative Navigation and Interaction through Immersive Mixed Reality


Spatial Attention Kinetic Networks with E(n)-Equivariance


Spatial Attention-based Non-reference Perceptual Quality Prediction Network for Omnidirectional Images


Spatial Brain Tumor Concentration Estimation for Individualized Radiotherapy Planning


Spatial Clustering Approach for Vessel Path Identification


Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite Mixtures


Spatial Clustering of Citizen Science Data Improves Downstream Species Distribution Models


Spatial Clustering of Molecular Localizations with Graph Neural Networks


Spatial Commonsense Graph for Object Localisation in Partial Scenes


Spatial Concept-Based Navigation with Human Speech Instructions via Probabilistic Inference on Bayesian Generative Model


Spatial Confidence Regions for Combinations of Excursion Sets in Image Analysis


Spatial Confounding in Multivariate Areal Data Analysis


Spatial Content Alignment For Pose Transfer


Spatial Contrastive Learning for Few-Shot Classification


Spatial Correlation in Weather Forecast Accuracy: A Functional Time Series Approach


Spatial Data Mining of Public Transport Incidents reported in Social Media


Spatial Deep Convolutional Neural Networks


Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling


Spatial Dependency Parsing for Semi-Structured Document Information Extraction


Spatial Diffusion for Cell Layout Generation


Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification


Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework


Spatial Evolutionary Generative Adversarial Networks


Spatial Factor Modeling: A Bayesian Matrix-Normal Approach for Misaligned Data


Spatial Feature Calibration and Temporal Fusion for Effective One-stage Video Instance Segmentation


Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping


Spatial Graph Convolution Neural Networks for Water Distribution Systems


Spatial Heterophily Aware Graph Neural Networks


Spatial Hierarchy and Temporal Attention Guided Cross Masking for Self-supervised Skeleton-based Action Recognition


Spatial Implicit Neural Representations for Global-Scale Species Mapping


Spatial Indexing for System-Level Evaluation of 5G Heterogeneous Cellular Networks


Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation


Spatial Intention Maps for Multi-Agent Mobile Manipulation


Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery


Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning


Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping


Spatial Modeling of Trends in Crime over Time in Philadelphia


Spatial Monitoring and Insect Behavioural Analysis Using Computer Vision for Precision Pollination


Spatial Multivariate Trees for Big Data Bayesian Regression


Spatial Non-parametric Bayesian Clustered Coefficients


Spatial Parquet: A Column File Format for Geospatial Data Lakes [Extended Version]


Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology


Spatial Pattern Formation in Eco-Evolutionary Games with Environment-Driven Motion


Spatial Re-parameterization for N:M Sparsity


Spatial Reconstructed Local Attention Res2Net with F0 Subband for Fake Speech Detection


Spatial Risk Patterns-ANOVA: Multivariate Analysis Of Suicide-Related Emergency Calls


Spatial Scaper: A Library to Simulate and Augment Soundscapes for Sound Event Localization and Detection in Realistic Rooms


Spatial Search Strategies for Open Government Data: A Systematic Comparison


Spatial Semantic Embedding Network: Fast 3D Instance Segmentation with Deep Metric Learning


Spatial Sign based Direct Sparse Linear Discriminant Analysis for High Dimensional Data


Spatial Structure Constraints for Weakly Supervised Semantic Segmentation


Spatial Symmetries in Multipolar Metasurfaces: From Asymmetric Angular Transmittance to Multipolar Extrinsic Chirality


Spatial Temporal Aggregated Predictors to Examine Built Environment Health Effects


Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition


Spatial Transcriptomics Dimensionality Reduction using Wavelet Bases


Spatial Transcriptomics Iterative Hierarchical Clustering (stIHC): A Novel Method for Identifying Spatial Gene Co-Expression Modules


Spatial Transfer Learning for Estimating PM2.5 in Data-poor Regions


Spatial Transformer Network YOLO Model for Agricultural Object Detection


Spatial Tweedie exponential dispersion models


Spatial Uncertainty-Aware Semi-Supervised Crowd Counting


Spatial Upsampling of Head-Related Transfer Functions Using a Physics-Informed Neural Network


Spatial Voice Conversion: Voice Conversion Preserving Spatial Information and Non-target Signals


Spatial analysis of thermal groundwater use based on optimal sizing and placement of well doublets


Spatial and Frequency Domain Adaptive Fusion Network for Image Deblurring


Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image Classification


Spatial and Temporal Networks for Facial Expression Recognition in the Wild Videos


Spatial and Temporal Variations of the Chandra ACIS Particle-Induced Background and Development of a Spectral-Model Generation Tool


Spatial birth-death-move processes : basic properties and estimation of their intensity functions


Spatial community structure impedes language amalgamation in a population-based iterated learning model


Spatial deformation for non-stationary extremal dependence


Spatial encoding of BOLD fMRI time series for categorizing static images across visual datasets: A pilot study on human vision


Spatial field reconstruction with INLA: Application to IFU galaxy data


Spatial flocking: Control by speed, distance, noise and delay


Spatial information allows inference of the prevalence of direct cell-to-cell viral infection


Spatial interactions in urban scaling laws


Spatial metallicity distribution statistics at $\lesssim 100$ pc scales in the AMUSING++ nearby galaxy sample


Spatial mixup: Directional loudness modification as data augmentation for sound event localization and detection


Spatial modeling of forest-savanna bistability: Impacts of fire dynamics and timescale separation


Spatial occupancy models for data collected on stream networks


Spatial organization and interactions of harvester ants during foraging activity


Spatial regionalization based on optimal information compression


Spatial regression modeling via the R2D2 framework


Spatial regularisation for improved accuracy and interpretability in keypoint-based registration


Spatial similarity index for scouting in football


Spatial structure facilitates evolutionary rescue by drug resistance


Spatial trend analysis of gridded temperature data at varying spatial scales


Spatial von-Mises Fisher Regression for Directional Data


Spatial-Angular Attention Network for Light Field Reconstruction


Spatial-Assistant Encoder-Decoder Network for Real Time Semantic Segmentation


Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification


Spatial-Aware Token for Weakly Supervised Object Localization


Spatial-Contextual Discrepancy Information Compensation for GAN Inversion


Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays


Spatial-Frequency Discriminability for Revealing Adversarial Perturbations


Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation


Spatial-Geometry Enhanced 3D Dynamic Snake Convolutional Neural Network for Hyperspectral Image Classification


Spatial-Semantic Collaborative Cropping for User Generated Content


Spatial-Spectral Transformer for Hyperspectral Image Denoising


Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks


Spatial-Temporal Cross-View Contrastive Pre-training for Check-in Sequence Representation Learning


Spatial-Temporal Decoupling Contrastive Learning for Skeleton-based Human Action Recognition


Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges


Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting


Spatial-Temporal Graph Enhanced DETR Towards Multi-Frame 3D Object Detection


Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation


Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting


Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction


Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction


Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting


Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation


Spatial-Temporal Map Vehicle Trajectory Detection Using Dynamic Mode Decomposition and Res-UNet+ Neural Networks


Spatial-Temporal Moving Target Defense: A Markov Stackelberg Game Model


Spatial-Temporal Multi-Cuts for Online Multiple-Camera Vehicle Tracking


Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning


Spatial-Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting


Spatial-Temporal Transformer Networks for Traffic Flow Forecasting


Spatial-Temporal Transformer for Dynamic Scene Graph Generation


Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting


Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image


Spatial-aware Transformer-GRU Framework for Enhanced Glaucoma Diagnosis from 3D OCT Imaging


Spatial-frequency Dual-Domain Feature Fusion Network for Low-Light Remote Sensing Image Enhancement


Spatial-information Guided Adaptive Context-aware Network for Efficient RGB-D Semantic Segmentation


Spatial-temporal Concept based Explanation of 3D ConvNets


Spatial-temporal Forecasting for Regions without Observations


Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution


Spatial-temporal V-Net for automatic segmentation and quantification of right ventricles in gated myocardial perfusion SPECT images


Spatial-temporal prediction of forest attributes using latent Gaussian models and inventory data


Spatial-then-Temporal Self-Supervised Learning for Video Correspondence


Spatial-wise Dynamic Distillation for MLP-like Efficient Visual Fault Detection of Freight Trains


Spatial457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Multimodal Models


SpatialBot: Precise Spatial Understanding with Vision Language Models


SpatialCodec: Neural Spatial Speech Coding


SpatialFlow: Bridging All Tasks for Panoptic Segmentation


SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning


SpatialScore: Towards Unified Evaluation for Multimodal Spatial Understanding


SpatialTouch: Exploring Spatial Data Visualizations in Cross-reality


SpatialTrackerV2: 3D Point Tracking Made Easy


Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds


Spatially Adaptive Computation Time for Residual Networks


Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation


Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising


Spatially Adaptive Variable Screening in Presurgical fMRI Data Analysis


Spatially Aware Multimodal Transformers for TextVQA


Spatially Constrained GAN for Face and Fashion Synthesis


Spatially Constrained Transformer with Efficient Global Relation Modelling for Spatio-Temporal Prediction


Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting


Spatially Resolved Gas Flows Around the Milky Way


Spatially Resolved Stellar Populations of $0.3<z<6.0$ Galaxies in WHL0137-08 and MACS0647+70 Clusters as Revealed by JWST: How do Galaxies Grow and Quench Over Cosmic Time?


Spatially Sparse Precoding in Wideband Hybrid Terahertz Massive MIMO Systems


Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence


Spatially and Spectrally Consistent Deep Functional Maps


Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification


Spatially scalable recursive estimation of Gaussian process terrain maps using local basis functions


Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks


Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing


Spatially-Aware Speaker for Vision-and-Language Navigation Instruction Generation


Spatially-Aware Transformer for Embodied Agents


Spatially-Variant CNN-based Point Spread Function Estimation for Blind Deconvolution and Depth Estimation in Optical Microscopy


Spatially-clustered spatial autoregressive models with application to agricultural market concentration in Europe


Spatialyze: A Geospatial Video Analytics System with Spatial-Aware Optimizations


Spatio-Angular Convolutions for Super-resolution in Diffusion MRI


Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and Destriping


Spatio-Temporal 3D Point Clouds from WiFi-CSI Data via Transformer Networks


Spatio-Temporal AU Relational Graph Representation Learning For Facial Action Units Detection


Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets


Spatio-Temporal Attention and Gaussian Processes for Personalized Video Gaze Estimation


Spatio-Temporal Branching for Motion Prediction using Motion Increments


Spatio-Temporal Calibration for Omni-Directional Vehicle-Mounted Event Cameras


Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation


Spatio-Temporal Deformable Attention Network for Video Deblurring


Spatio-Temporal Distortion Aware Omnidirectional Video Super-Resolution


Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space


Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders


Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation


Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided Encoder-Decoder Architecture


Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition


Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis


Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer


Spatio-Temporal Graph Neural Network for Urban Spaces: Interpolating Citywide Traffic Volume


Spatio-Temporal Graph Structure Learning for Earthquake Detection


Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction


Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition


Spatio-Temporal Joint Density Driven Learning for Skeleton-Based Action Recognition


Spatio-Temporal Jump Model for Urban Thermal Comfort Monitoring


Spatio-Temporal Meta Contrastive Learning


Spatio-Temporal Perception-Distortion Trade-off in Learned Video SR


Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation


Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation


Spatio-Temporal Reference Frames as Geographic Objects


Spatio-Temporal SAR-Optical Data Fusion for Cloud Removal via a Deep Hierarchical Model


Spatio-Temporal SIR Model of Pandemic Spread During Warfare with Optimal Dual-use Healthcare System Administration using Deep Reinforcement Learning


Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction


Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow


Spatio-Temporal Top-k Similarity Search for Trajectories in Graphs


Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study


Spatio-Temporal Tuples Transformer for Skeleton-Based Action Recognition


Spatio-Temporal Vegetation Pixel Classification By Using Convolutional Networks


Spatio-channel Attention Blocks for Cross-modal Crowd Counting


Spatio-spectral networks for color-texture analysis


Spatio-temporal Co-attention Fusion Network for Video Splicing Localization


Spatio-temporal Diffusion Point Processes


Spatio-temporal Downscaling Emulator for Regional Climate Models: a Comparative Study


Spatio-temporal Dynamics of Foot-and-Mouth Disease Virus in South America


Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation


Spatio-temporal Lie-Poisson discretization for incompressible magnetohydrodynamics on the sphere


Spatio-temporal Local Interpolation of Global Ocean Heat Transport using Argo Floats: A Debiased Latent Gaussian Process Approach


Spatio-temporal MLP-graph network for 3D human pose estimation


Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification


Spatio-temporal Multivariate Cluster Evolution Analysis for Detecting and Tracking Climate Impacts


Spatio-temporal Ornstein-Uhlenbeck processes: theory, simulation and statistical inference


Spatio-temporal Relation Modeling for Few-shot Action Recognition


Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds


Spatio-temporal Vision Transformer for Super-resolution Microscopy


Spatio-temporal agent-based modelling of malaria


Spatio-temporal bivariate statistical models for atmospheric trace-gas inversion


Spatio-temporal chaos of one-dimensional thin elastic layer with the rate-and-state friction law


Spatio-temporal evolution of resistance state in simulated memristive networks


Spatio-temporal insights for wind energy harvesting in South Africa


Spatio-temporal load shifting for truly clean computing


Spatio-temporal methods for estimating subsurface ocean thermal response to tropical cyclones


Spatio-temporal neural distance fields for conditional generative modeling of the heart


Spatio-temporal neural structural causal models for bike flow prediction


Spatio-temporal quasi-experimental methods for rare disease outcomes: The impact of reformulated gasoline on childhood hematologic cancer


Spatio-temporal video autoencoder with differentiable memory


Spatio-thermal depth correction of RGB-D sensors based on Gaussian Processes in real-time


Spatiotemporal Action Recognition in Restaurant Videos


Spatiotemporal Attacks for Embodied Agents


Spatiotemporal Attention Networks for Wind Power Forecasting


Spatiotemporal Blind-Spot Network with Calibrated Flow Alignment for Self-Supervised Video Denoising


Spatiotemporal CNN for Video Object Segmentation


Spatiotemporal Calibration of Camera and 3D Laser Scanner


Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models


Spatiotemporal Covariance Neural Networks


Spatiotemporal Deformation Perception for Fisheye Video Rectification


Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd Estimation


Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention


Spatiotemporal Gaussian Optimization for 4D Cone Beam CT Reconstruction from Sparse Projections


Spatiotemporal Graph Guided Multi-modal Network for Livestreaming Product Retrieval


Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner


Spatiotemporal Learning of Brain Dynamics from fMRI Using Frequency-Specific Multi-Band Attention for Cognitive and Psychiatric Applications


Spatiotemporal Multi-Resolution Approximations for Analyzing Global Environmental Data


Spatiotemporal Observer Design for Predictive Learning of High-Dimensional Data


Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction


Spatiotemporal Pyramidal CNN with Depth-Wise Separable Convolution for Eye Blinking Detection in the Wild


Spatiotemporal Representation Learning for Short and Long Medical Image Time Series


Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition


Spatiotemporal Self-supervised Learning for Point Clouds in the Wild


Spatiotemporal Tile-based Attention-guided LSTMs for Traffic Video Prediction


Spatiotemporal Weather Data Predictions with Shortcut Recurrent-Convolutional Networks: A Solution for the Weather4cast challenge


Spatiotemporal data analysis with chronological networks


Spatiotemporal forecasting of vertical track alignment with exogenous factors


Spatiotemporal information conversion machine for time-series prediction


Spatiotemporal mapping of malaria prevalence in Madagascar using routine surveillance and health survey data


Spatiotemporal patterns of adaptation-induced slow oscillations in a whole-brain model of slow-wave sleep


Spatiotemporal stability of periodic travelling waves in a heteroclinic-cycle model


Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation


Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents


Spatz: Clustering Compact RISC-V-Based Vector Units to Maximize Computing Efficiency


Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases


SpeHeatal: A Cluster-Enhanced Segmentation Method for Sperm Morphology Analysis


SpeX near-infrared spectroscopic extinction curves in the Milky Way


Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions


Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models


Speak Like a Dog: Human to Non-human creature Voice Conversion


Speak so a physicist can understand you! TetrisCNN for detecting phase transitions and order parameters


Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4


SpeakGer: A meta-data enriched speech corpus of German state and federal parliaments


Speaker Adaptive Training using Model Agnostic Meta-Learning


Speaker Anonymization with Distribution-Preserving X-Vector Generation for the VoicePrivacy Challenge 2020


Speaker Diarization as a Fully Online Learning Problem in MiniVox


Speaker Diarization with Region Proposal Network


Speaker Diarization: Using Recurrent Neural Networks


Speaker Distance Estimation in Enclosures from Single-Channel Audio


Speaker Embedding-aware Neural Diarization for Flexible Number of Speakers with Textual Information


Speaker Extraction with Co-Speech Gestures Cue


Speaker Representation Learning via Contrastive Loss with Maximal Speaker Separability


Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning


Speaker Sensitive Response Evaluation Model


Speaker Turn Modeling for Dialogue Act Classification


Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations


Speaker anonymization using neural audio codec language models


Speaker dependent acoustic-to-articulatory inversion using real-time MRI of the vocal tract


Speaker dependent articulatory-to-acoustic mapping using real-time MRI of the vocal tract


Speaker embeddings by modeling channel-wise correlations


Speaker recognition with two-step multi-modal deep cleansing


Speaker- and Text-Independent Estimation of Articulatory Movements and Phoneme Alignments from Speech


Speaker-Independent Acoustic-to-Articulatory Inversion through Multi-Channel Attention Discriminator


Speaker-adaptive Lip Reading with User-dependent Padding


Speaker-independent Speech Inversion for Estimation of Nasalance


Speakers Fill Lexical Semantic Gaps with Context


Speaking Multiple Languages Affects the Moral Bias of Language Models


Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised Units


Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication


Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind


Speaking-Rate-Controllable HiFi-GAN Using Feature Interpolation


SpeakingFaces: A Large-Scale Multimodal Dataset of Voice Commands with Visual and Thermal Video Streams


Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs


Spec-NeRF: Multi-spectral Neural Radiance Fields


Spec-ResNet: A General Audio Steganalysis scheme based on Deep Residual Network of Spectrogram


Spec2VolCAMU-Net: A Spectrogram-to-Volume Model for EEG-to-fMRI Reconstruction based on Multi-directional Time-Frequency Convolutional Attention Encoder and Vision-Mamba U-Net


SpecDETR: A Transformer-based Hyperspectral Point Object Detection Network


SpecExec: Massively Parallel Speculative Decoding for Interactive LLM Inference on Consumer Devices


SpecExtend: A Drop-in Enhancement for Speculative Decoding of Long Sequences


SpecGuard: Specification Aware Recovery for Robotic Autonomous Vehicles from Physical Attacks


SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding


SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification


SpecLLM: Exploring Generation and Review of VLSI Design Specification with Large Language Model


SpecNet2: Orthogonalization-free spectral embedding by neural networks


SpecOffload: Unlocking Latent GPU Capacity for LLM Inference on Resource-Constrained Devices


SpecPhot: A Comparison of Spectroscopic and Photometric Exoplanet Follow-Up Methods


SpecRNet: Towards Faster and More Accessible Audio DeepFake Detection


SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning


SpecRef: A Fast Training-free Baseline of Specific Reference-Condition Real Image Editing


SpecSolve: Spectral methods for spectral measures


SpecTUS: Spectral Translator for Unknown Structures annotation from EI-MS spectra


SpecTf: Transformers Enable Data-Driven Imaging Spectroscopy Cloud Detection


SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation


SpecTrack: Learned Multi-Rotation Tracking via Speckle Imaging


Specformer: Spectral Graph Neural Networks Meet Transformers


SpeciaLex: A Benchmark for In-Context Specialized Lexicon Learning


Special Function Methods for Bursty Models of Transcription


Special Unitary Parameterized Estimators of Rotation


Special subsets of addresses for blockchains using the secp256k1 curve


Specialist vision-language models for clinical ophthalmology


Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces


Specialized Document Embeddings for Aspect-based Similarity of Research Papers


Specialized federated learning using a mixture of experts


Specialized minimal PDFs for optimized LHC calculations


Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations


Specializing Multilingual Language Models: An Empirical Study


Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training


Specializing Smaller Language Models towards Multi-Step Reasoning


Specializing Versatile Skill Libraries using Local Mixture of Experts


Specializing Word Embeddings (for Parsing) by Information Bottleneck


Specialty-Oriented Generalist Medical AI for Chest CT Screening


Speciesist Language and Nonhuman Animal Bias in English Masked Language Models


Specific Differential Entropy Rate Estimation for Continuous-Valued Time Series


Specific Emitter Identification Handling Modulation Variation with Margin Disparity Discrepancy


Specification and Evaluation of Multi-Agent LLM Systems -- Prototype and Cybersecurity Applications


Specificity-Preserving Federated Learning for MR Image Reconstruction


Specificity-preserving RGB-D Saliency Detection


Specify Robust Causal Representation from Mixed Observations


Specifying Object Attributes and Relations in Interactive Scene Generation


Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets


Specifying and Model Checking Workflows of Single Page Applications with TLA+


Specifying and Solving Robust Empirical Risk Minimization Problems Using CVXPY


Specifying and Verifying the Convergence Stairs of the Collatz Program


Specious Sites: Tracking the Spread and Sway of Spurious News Stories at Scale


Speckle2Speckle: Unsupervised Learning of Ultrasound Speckle Filtering Without Clean Data


Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks


SpectRes: A Fast Spectral Resampling Tool in Python


Spectra of Cayley Graphs of Complex Reflection Groups


Spectra: Surprising Effectiveness of Pretraining Ternary Language Models at Scale


SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data


Spectral Adapter: Fine-Tuning in Spectral Space


Spectral Adversarial Training for Robust Graph Neural Network


Spectral Architecture Search for Neural Networks


Spectral Augmentation for Self-Supervised Learning on Graphs


Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime


Spectral Bias and Task-Model Alignment Explain Generalization in Kernel Regression and Infinitely Wide Neural Networks


Spectral Clustering for Directed Graphs via Likelihood Estimation on Stochastic Block Models


Spectral Clustering for Divide-and-Conquer Graph Matching


Spectral Clustering for Optical Confirmation and Redshift Estimation of X-ray Selected Galaxy Cluster Candidates in the SDSS Stripe 82


Spectral Clustering of Attributed Multi-relational Graphs


Spectral Clustering with Graph Neural Networks for Graph Pooling


Spectral Clustering, Bayesian Spanning Forest, and Forest Process


Spectral Clustering-aware Learning of Embeddings for Speaker Diarisation


Spectral Co-Distillation for Personalized Federated Learning


Spectral Compressive Imaging Reconstruction Using Convolution and Contextual Transformer


Spectral Convolutional Conditional Neural Processes


Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement


Spectral Deconfounding for High-Dimensional Sparse Additive Models


Spectral Density Classification For Environment Spectroscopy


Spectral Density-Based and Measure-Preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs


Spectral DiffuserCam: lensless snapshot hyperspectral imaging with a spectral filter array


Spectral Editing of Activations for Large Language Model Alignment


Spectral Efficiency Analysis of Uplink-Downlink Decoupled Access in C-V2X Networks


Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian


Spectral Enhancement and Pseudo-Anchor Guidance for Infrared-Visible Person Re-Identification


Spectral Estimation with Free Decompression


Spectral Feature Transformation for Person Re-identification


Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing


Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization


Spectral Graph Pruning Against Over-Squashing and Over-Smoothing


Spectral Inference Networks: Unifying Deep and Spectral Learning


Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts


Spectral Lag Transition of 32 Fermi Gamma-ray Bursts and their Application on Constraining Lorentz Invariance Violation


Spectral Lower Bounds on the I/O Complexity of Computation Graphs


Spectral Mapping of Singing Voices: U-Net-Assisted Vocal Segmentation


Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective


Spectral Normalization and Dual Contrastive Regularization for Image-to-Image Translation


Spectral Normalized-Cut Graph Partitioning with Fairness Constraints


Spectral Overlap and a Comparison of Parameter-Free, Dimensionality Reduction Quality Metrics


Spectral Processing of COVID-19 Time-Series Data


Spectral Prompt Tuning:Unveiling Unseen Classes for Zero-Shot Semantic Segmentation


Spectral Properties of Symmetric Quantum States and Symmetric Entanglement Witnesses


Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning


Spectral Regularization: an Inductive Bias for Sequence Modeling


Spectral Regularized Kernel Two-Sample Tests


Spectral Representation and Simulation of Fractional Brownian Motion


Spectral Representation for Causal Estimation with Hidden Confounders


Spectral Simulation of Functional Time Series


Spectral Statistics of Sample Block Correlation Matrices


Spectral Submanifolds of the Navier-Stokes Equations


Spectral Subspace Clustering for Attributed Graphs


Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning


Spectral Synthesis for Satellite-to-Satellite Translation


Spectral Temporal Graph Neural Network for massive MIMO CSI Prediction


Spectral Tensor Train Parameterization of Deep Learning Layers


Spectral Toolkit of Algorithms for Graphs: Technical Report (1)


Spectral Transfer Guided Active Domain Adaptation For Thermal Imagery


Spectral Transform Forms Scalable Transformer


Spectral Transformation for the Dense Symmetric Semidefinite Generalized Eigenvalue Problem


Spectral Unmixing of Hyperspectral Imagery using Multilayer NMF


Spectral Variance in a Stochastic Gravitational-Wave Background From a Binary Population


Spectral algorithms for reaction-diffusion equations


Spectral analysis for noisy Hawkes processes inference


Spectral analysis of mixing in 2D high-Reynolds flows


Spectral analysis of three hot subdwarf stars: EC 11481-2303, Feige 110, and PG 0909+276: A critical oscillator-strength evaluation for iron-group elements


Spectral and Combinatorial Aspects of Cayley-Crystals


Spectral appearance of the planetary-surface accretion shock: Global spectra and hydrogen-line profiles and fluxes


Spectral approximation of a new class of stochastic fractional evolution equations


Spectral bounds for the operator pencil of an elliptic system in an angle


Spectral characterization of a 3-port photonic lantern for application to spectroastrometry


Spectral clustering of Markov chain transition matrices with complex eigenvalues


Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel


Spectral cube extraction for the VLT/SPHERE IFS: Open-source pipeline with full forward modeling and improved sensitivity


Spectral dataset of young type Ib supernovae and their time evolution


Spectral decomposition of atomic structures in heterogeneous cryo-EM


Spectral decomposition-assisted multi-study factor analysis


Spectral deferred correction methods for second-order problems


Spectral embedding and the latent geometry of multipartite networks


Spectral embedding for dynamic networks with stability guarantees


Spectral features and variable circular polarisation in the radio emission from the pre-cataclysmic variable QS Vir


Spectral goodness-of-fit tests for complete and partial network data


Spectral image clustering on dual-energy CT scans using functional regression mixtures


Spectral learning of Bernoulli linear dynamical systems models


Spectral methods for Neural Integral Equations


Spectral partitioning of graphs into compact, connected regions


Spectral pruning of fully connected layers: ranking the nodes based on the eigenvalues


Spectral regularization for adversarially-robust representation learning


Spectral risk-based learning using unbounded losses


Spectral signatures of axionlike dark matter


Spectral structure learning for clinical time series


Spectral-Adaptive Modulation Networks for Visual Perception


Spectral-Aware Low-Rank Adaptation for Speaker Verification


Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows


Spectral-Spatial Classification of Hyperspectral Image Using Autoencoders


Spectral-Spatial Self-Supervised Learning for Few-Shot Hyperspectral Image Classification


Spectral-Spatial Transformer with Active Transfer Learning for Hyperspectral Image Classification


Spectral-spatial classification of hyperspectral images: three tricks and a new supervised learning setting


SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral Perspective


SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain


SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion Models


SpectralKD: A Unified Framework for Interpreting and Distilling Vision Transformers via Spectral Analysis


SpectralNeRF: Physically Based Spectral Rendering with Neural Radiance Field


Spectrally Adapted Physics-Informed Neural Networks for Solving Unbounded Domain Problems


Spectrally Pruned Gaussian Fields with Neural Compensation


SpectroLab: An Open Source Matlab Based Toolbox for High Throughput Spectroscopy Analysis


SpectroMap: Peak detection algorithm for audio fingerprinting


Spectrogram Inpainting for Interactive Generation of Instrument Sounds


Spectrogram Inversion for Audio Source Separation via Consistency, Mixing, and Magnitude Constraints


Spectrogram-Based Detection of Auto-Tuned Vocals in Music Recordings


Spectrometers and Polyphase Filterbanks in Radio Astronomy


Spectron: Target Speaker Extraction using Conditional Transformer with Adversarial Refinement


Spectrophotometric templates for core collapse supernovae and their application in simulations of time-domain surveys


Spectropolarimetric Inversion in Four Dimensions with Deep Learning (SPIn4D): I. Overview, Magnetohydrodynamic Modeling, and Stokes Profile Synthesis


Spectroscopic Observations of the Solar Corona during the 2017 August 21 Total Solar Eclipse: Comparison of Spectral Line Widths and Doppler Shifts Between Open and Closed Magnetic Structures


Spectroscopic QUasar Extractor and redshift (z) EstimatorSQUEzE I: Methodology


Spectroscopic Studies of Type Ia Supernovae Using LSTM Neural Networks


Spectroscopic Transit Search: a self-calibrating method for detecting planets around bright stars


Spectroscopic age estimates for APOGEE red-giant stars: Precise spatial and kinematic trends with age in the Galactic disc


Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds


Spectrum Correction: Acoustic Scene Classification with Mismatched Recording Devices


Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks


Spectrum Extraction and Clipping for Implicitly Linear Layers


Spectrum Prediction With Deep 3D Pyramid Vision Transformer Learning


Spectrum Surveying: Active Radio Map Estimation with Autonomous UAVs


Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile


Spectrum of the Laplacian on the Fricke-Macbeath surface


Spectrum-Diverse Neuroevolution with Unified Neural Models


Spectrum-Guided Adversarial Disparity Learning


Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multimodal Recommendation


Spectrum-driven Mixed-frequency Network for Hyperspectral Salient Object Detection


Spectrum-guided Multi-granularity Referring Video Object Segmentation


Spectrum-oriented Point-supervised Saliency Detector for Hyperspectral Images


Spectrum: Targeted Training on Signal to Noise Ratio


SpectrumFM: A Foundation Model for Intelligent Spectrum Management


Spectuner: A Framework for Automated Line Identification of Interstellar Molecules


Specular- and Diffuse-reflection-based Face Spoofing Detection for Mobile Devices


Speculative Decoding Meets Quantization: Compatibility Evaluation and Hierarchical Framework Design


Speculative Decoding Reimagined for Multimodal Large Language Models


Speculative Decoding with Big Little Decoder


Speculative Ensemble: Fast Large Language Model Ensemble via Speculation


Speculative Exploration on the Concept of Artificial Agents Conducting Autonomous Research


Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation


Speculative Progressive Raycasting for Memory Constrained Isosurface Visualization of Massive Volumes


Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively


Speculative Segmented Sum for Sparse Matrix-Vector Multiplication on Heterogeneous Processors


Speculative Thinking: Enhancing Small-Model Reasoning with Large Model Guidance at Inference Time


Speech Analysis of Language Varieties in Italy


Speech Denoising by Accumulating Per-Frequency Modeling Fluctuations


Speech Denoising in the Waveform Domain with Self-Attention


Speech Driven Talking Face Generation from a Single Image and an Emotion Condition


Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates


Speech Emotion Recognition Via CNN-Transformer and Multidimensional Attention Mechanism


Speech Emotion Recognition using Semantic Information


Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information


Speech Emotion Recognition with Global-Aware Fusion on Multi-scale Feature Representation


Speech Enhancement for Virtual Meetings on Cellular Networks


Speech Enhancement with Overlapped-Frame Information Fusion and Causal Self-Attention


Speech Enhancement with Zero-Shot Model Selection


Speech Foundation Model Ensembles for the Controlled Singing Voice Deepfake Detection (CtrSVDD) Challenge 2024


Speech Gesture Generation from the Trimodal Context of Text, Audio, and Speaker Identity


Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification


Speech Quality Assessment in Crowdsourcing: Comparison Category Rating Method


Speech Recognition Challenge in the Wild: Arabic MGB-3


Speech Representation Analysis based on Inter- and Intra-Model Similarities


Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice Conversion


Speech Resources in the Tamasheq Language


Speech Resynthesis from Discrete Disentangled Self-Supervised Representations


Speech Robust Bench: A Robustness Benchmark For Speech Recognition


Speech Segmentation Optimization using Segmented Bilingual Speech Corpus for End-to-end Speech Translation


Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?


Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network


Speech Separation with Pretrained Frontend to Minimize Domain Mismatch


Speech Synthesis from Text and Ultrasound Tongue Image-based Articulatory Input


Speech Translation Refinement using Large Language Models


Speech Understanding on Tiny Devices with A Learning Cache


Speech Wikimedia: A 77 Language Multilingual Speech Dataset


Speech collage: code-switched audio generation by collaging monolingual corpora


Speech foundation models in healthcare: Effect of layer selection on pathological speech feature prediction


Speech language models lack important brain-relevant semantics


Speech privacy-preserving methods using secret key for convolutional neural network models and their robustness evaluation


Speech vs. Transcript: Does It Matter for Human Annotators in Speech Summarization?


Speech waveform synthesis from MFCC sequences with generative adversarial networks


Speech, Head, and Eye-based Cues for Continuous Affect Prediction


Speech-Based Emotion Recognition using Neural Networks and Information Visualization


Speech-Copilot: Leveraging Large Language Models for Speech Processing via Task Decomposition, Modularization, and Program Generation


Speech-Driven 3D Face Animation with Composite and Regional Facial Movements


Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models


Speech-based Age and Gender Prediction with Transformers


Speech-enhanced and Noise-aware Networks for Robust Speech Recognition


Speech-text based multi-modal training with bidirectional attention for improved speech recognition


Speech-to-Singing Conversion in an Encoder-Decoder Framework


Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning


Speech2Lip: High-fidelity Speech to Lip Generation by Learning from a Short Video


Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition Models


Speech2Video Synthesis with 3D Skeleton Regularization and Expressive Body Poses


Speech2rtMRI: Speech-Guided Diffusion Model for Real-time MRI Video of the Vocal Tract during Speech


SpeechAgents: Human-Communication Simulation with Multi-Modal Multi-Agent Systems


SpeechCLIP+: Self-supervised multi-task representation learning for speech via CLIP and speech-image data


SpeechCLIP: Integrating Speech with Pre-Trained Vision and Language Model


SpeechColab Leaderboard: An Open-Source Platform for Automatic Speech Recognition Evaluation


SpeechCraft: A Fine-grained Expressive Speech Dataset with Natural Language Description


SpeechDialogueFactory: Generating High-Quality Speech Dialogue Data to Accelerate Your Speech-LLM Development


SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing


SpeechFormer: A Hierarchical Efficient Framework Incorporating the Characteristics of Speech


SpeechNAS: Towards Better Trade-off between Latency and Accuracy for Large-Scale Speaker Verification


SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval


SpeechPy - A Library for Speech Processing and Recognition


SpeechQE: Estimating the Quality of Direct Speech Translation


SpeechSplit 2.0: Unsupervised speech disentanglement for voice conversion Without tuning autoencoder Bottlenecks


Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach


Speed, power and cost implications for GPU acceleration of Computational Fluid Dynamics on HPC systems


SpeedFolding: Learning Efficient Bimanual Folding of Garments


Speeding Up BigClam Implementation on SNAP


Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator


Speeding Up the NSGA-II With a Simple Tie-Breaking Rule


Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients


Speeding up Krylov subspace methods for computing f(A)b via randomization


Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze


Speeding up Model Loading with fastsafetensors


Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence


Speeding up Photoacoustic Imaging using Diffusion Models


Speeding up VP9 Intra Encoder with Hierarchical Deep Learning Based Partition Prediction


Speeding up Word Mover's Distance and its variants via properties of distances between embeddings


Speeding up and reducing memory usage for scientific machine learning via mixed precision


Speeding up astrochemical reaction networks with autoencoders and neural ODEs


Speeding up explicit numerical evaluation methods for micromagnetic simulations using demagnetizing field polynomial extrapolation


Speeding up thermalization and quantum state preparation through engineered quantum collisions


Speeding-Up Back-Propagation in DNN: Approximate Outer Product with Memory


Speeding-up Evolutionary Algorithms to solve Black-Box Optimization Problems


Speedup for quantum optimal control from automatic differentiation based on graphics processing units


Speedy Deformable 3D Gaussian Splatting: Fast Rendering and Compression of Dynamic Scenes


Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse Primitives


SpeedyIBL: A Comprehensive, Precise, and Fast Implementation of Instance-Based Learning Theory


SpeedySpeech: Efficient Neural Speech Synthesis


Spell Once, Summon Anywhere: A Two-Level Open-Vocabulary Language Model


SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check


Spelunking the Deep: Guaranteed Queries on General Neural Implicit Surfaces via Range Analysis


Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Boostrapping


Spend Your Budget Wisely: Towards an Intelligent Distribution of the Privacy Budget in Differentially Private Text Rewriting