StreamingHub: Interactive Stream Analysis Workflows


Streamline Without Sacrifice -- Squeeze out Computation Redundancy in LMM


Streamline tractography of the fetal brain in utero with machine learning


Streamlining Evaluation with ir-measures


Streamlining Prediction in Bayesian Deep Learning


Streamlining Redundant Layers to Compress Large Language Models


Streamlining Software Reviews: Efficient Predictive Modeling with Minimal Examples


Streamlining Variational Inference for Constraint Satisfaction Problems


Streamlining models with explanations in the learning loop


Streamlining the Collaborative Chain of Models into A Single Forward Pass in Generation-Based Tasks


Streams and Bubbles: Tidal Shaping of Planetary Outflows


Street Network Models and Indicators for Every Urban Area in the World


Street Sense: Learning from Google Street View


Street access, Informality and Development: A block level analysis across all of sub-Saharan Africa


Street-View Image Generation from a Bird's-Eye View Layout


StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street Views


StreetSurfaceVis: a dataset of crowdsourced street-level imagery annotated by road surface type and quality


Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-Identification


Strength in numbers: optimal and scalable combination of LHC new-physics searches


Strengthened SDP Relaxation for an Extended Trust Region Subproblem with an Application to Optimal Power Flow


Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors


Strengthened and Faster Linear Approximation to Joint Chance Constraints with Wasserstein Ambiguity


Strengthening Layer Interaction via Dynamic Layer Attention


Strengthening Probabilistic Graphical Models: The Purge-and-merge Algorithm


Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations


Strengthening structural baselines for graph classification using Local Topological Profile


Strengthening the Training of Convolutional Neural Networks By Using Walsh Matrix


Strengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations


Stress Detection from Photoplethysmography in a Virtual Reality Environment


Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks


Stress Predictions in Polycrystal Plasticity using Graph Neural Networks with Subgraph Training


Stress Test Evaluation of Biomedical Word Embeddings


Stress Testing $Λ$CDM with High-redshift Galaxy Candidates


Stress and heat flux via automatic differentiation


Stress-Testing Capability Elicitation With Password-Locked Models


Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack


Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning


Stress-Testing Point Cloud Registration on Automotive LiDAR


Stress-testing Machine Generated Text Detection: Shifting Language Models Writing Style to Fool Detectors


StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction


StressNet: Detecting Stress in Thermal Videos


Stressing Out Modern Quantum Hardware: Performance Evaluation and Execution Insights


StretchDenoise: Parametric Curve Reconstruction with Guarantees by Separating Connectivity from Residual Uncertainty of Samples


Stretchable Arduinos embedded in soft robots


Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget


Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters


Strict hierarchy between parallel, sequential, and indefinite-causal-order strategies for channel discrimination


Strictly Batch Imitation Learning by Energy-based Distribution Matching


Strictly Constrained Generative Modeling via Split Augmented Langevin Sampling


Strictly positive polynomials in the boundary of the SOS cone


Stride: a flexible platform for high-performance ultrasound computed tomography


Strike a Balance in Continual Panoptic Segmentation


Strike the Balance: On-the-Fly Uncertainty based User Interactions for Long-Term Video Object Segmentation


Striking Back At Cobalt: Using Network Traffic Metadata To Detect Cobalt Strike Masquerading Command and Control Channels


Striking Gold in Advertising: Standardization and Exploration of Ad Text Generation


Striking The Right Balance: Three-Dimensional Ocean Sound Speed Field Reconstruction Using Tensor Neural Networks


Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning


Striking a New Chord: Neural Networks in Music Information Dynamics


String Partition for Building Long Burrows-Wheeler Transforms


String Sound Synthesizer on GPU-accelerated Finite Difference Scheme


String Stability of Connected Vehicle Platoons under Lossy V2V Communication


StringLLM: Understanding the String Processing Capability of Large Language Models


Strip Pooling: Rethinking Spatial Pooling for Scene Parsing


Strip-MLP: Efficient Token Interaction for Vision MLP


Strivec: Sparse Tri-Vector Radiance Fields


Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation


Stroke Extraction of Chinese Character Based on Deep Structure Deformable Image Registration


Stroke Prediction using Clinical and Social Features in Machine Learning


Stroke-Based Scene Text Erasing Using Synthetic Data for Training


Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region


StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding


Strokes2Surface: Recovering Curve Networks From 4D Architectural Design Sketches


Strong Admissibility, a Tractable Algorithmic Approach (proofs)


Strong Baseline: Multi-UAV Tracking via YOLOv12 with BoT-SORT-ReID


Strong Baselines for Complex Word Identification across Multiple Languages


Strong Baselines for Neural Semi-supervised Learning under Domain Shift


Strong Call-by-Value is Reasonable, Implosively


Strong Convergence of a Splitting Method for the Stochastic Complex Ginzburg-Landau Equation


Strong Coupling Optomechanics Mediated by a Qubit in the Dispersive Regime


Strong Forms of Stability from Flag Algebra Calculations


Strong Gravitational Lensing Parameter Estimation with Vision Transformer


Strong Heuristics for Named Entity Linking


Strong Instance Segmentation Pipeline for MMSports Challenge


Strong Lensed QSOs with Variability Detectable by LSST: How many are there?


Strong Lensing Parameter Estimation on Ground-Based Imaging Data Using Simulation-Based Inference


Strong Lensing Source Reconstruction Using Continuous Neural Fields


Strong Stability Preserving Integrating Factor Two-step Runge--Kutta Methods


Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning


Strong Transitivity Relations and Graph Neural Networks


Strong and Controllable Blind Image Decomposition


Strong and Simple Baselines for Multimodal Utterance Embeddings


Strong and Weak Random Walks on Signed Networks


Strong and weak alignment of large language models with human values


Strong bounds for large-scale Minimum Sum-of-Squares Clustering


Strong but Simple Baseline with Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification


Strong coupling between scales in a multi-scalar model of urban dynamics


Strong decays of $T_{cc}^+$ at NLO in an effective field theory


Strong gravitational lenses from the Vera C. Rubin Observatory


Strong gravitational lensing with upcoming wide-field radio surveys


Strong inductive biases provably prevent harmless interpolation


Strong mixed-integer formulations for the floor layout problem


Strong stability preserving explicit linear multistep methods with variable step size


Strong stretching theory of polydisperse curved polymer brushes


Strong, but not weak, noise correlations are beneficial for population coding


Strong-TransCenter: Improved Multi-Object Tracking based on Transformers with Dense Representations


Stronger Data Poisoning Attacks Break Data Sanitization Defenses


Stronger Graph Transformer with Regularized Attention Scores


Stronger Together: Air-Ground Robotic Collaboration Using Semantics


Stronger and Faster Side-Channel Protections for CSIDH


Stronger and Faster Wasserstein Adversarial Attacks


Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation


Strongly Augmented Contrastive Clustering


Strongly Coupled Heavy and Light Quark Thermal Motion from AdS/CFT


Strongly Incremental Constituency Parsing with Graph Neural Networks


Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning


Strongly isospectral hyperbolic 3-manifolds with nonisomorphic rational cohomology rings


Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering


StruBERT: Structure-aware BERT for Table Search and Matching


StruQ: Defending Against Prompt Injection with Structured Queries


Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?


Struc2mapGAN: improving synthetic cryo-EM density maps with generative adversarial networks


StrucTexT: Structured Text Understanding with Multi-Modal Transformers


StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training


StrucText-Eval: Evaluating Large Language Model's Reasoning Ability in Structure-Rich Text


Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural Regularities from Visual SLAM


StructADMM: A Systematic, High-Efficiency Framework of Structured Weight Pruning for DNNs


StructChart: On the Schema, Metric, and Augmentation for Visual Chart Understanding


StructCoder: Structure-Aware Transformer for Code Generation


StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning


StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation


StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation


StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction Following


StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling


StructGPT: A General Framework for Large Language Model to Reason over Structured Data


StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization


StructSR: Refuse Spurious Details in Real-World Image Super-Resolution


StructSum: Summarization via Structured Representations


StructTransform: A Scalable Attack Surface for Safety-Aligned Large Language Models


StructVPR++: Distill Structural and Semantic Knowledge with Weighting Samples for Visual Place Recognition


StructVizor: Interactive Profiling of Semi-Structured Textual Data


Structack: Structure-based Adversarial Attacks on Graph Neural Networks


Structural Adapters in Pretrained Language Models for AMR-to-text Generation


Structural Adversarial Objectives for Self-Supervised Representation Learning


Structural Agnostic Modeling: Adversarial Learning of Causal Graphs


Structural Attacks on Local Routing in Payment Channel Networks


Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection


Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis


Structural Bias for Aspect Sentiment Triplet Extraction


Structural Causal Models Are (Solvable by) Credal Networks


Structural Causal Models Reveal Confounder Bias in Linear Program Modelling


Structural Characterization for Dialogue Disentanglement


Structural Design Through Reinforcement Learning


Structural Discovery with Partial Ordering Information for Time-Dependent Data with Convergence Guarantees


Structural Dropout for Model Width Compression


Structural Dynamics Descriptors for Metal Halide Perovskites


Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation


Structural Entropy Guided Agent for Detecting and Repairing Knowledge Deficiencies in LLMs


Structural Entropy Guided Graph Hierarchical Pooling


Structural Entropy Guided Probabilistic Coding


Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection


Structural Equation Models as Computation Graphs


Structural Generalization in Autonomous Cyber Incident Response with Message-Passing Neural Networks and Reinforcement Learning


Structural Guidance for Transformer Language Models


Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences


Structural Information Guided Multimodal Pre-training for Vehicle-centric Perception


Structural Information Preserving for Graph-to-Text Generation


Structural Insights and an IP-based Solution Method for Patient-to-room Assignment under Consideration of Single Room Entitlements


Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport


Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor


Structural Learning of Probabilistic Sentential Decision Diagrams under Partial Closed-World Assumption


Structural Measures of Resilience for Supply Chains


Structural Nested Mean Models Under Parallel Trends Assumptions


Structural Nested Mean Models Under Parallel Trends with Interference


Structural Optimization Ambiguity and Simplicity Bias in Unsupervised Neural Grammar Induction


Structural Optimization Makes Graph Classification Simpler and Better


Structural Optimization of Factor Graphs for Symbol Detection via Continuous Clustering and Machine Learning


Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations


Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring


Structural Pruning of Pre-trained Language Models via Neural Architecture Search


Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation


Structural Re-weighting Improves Graph Domain Adaptation


Structural Scaffolds for Citation Intent Classification in Scientific Publications


Structural Self-Supervised Objectives for Transformers


Structural Similarities Between Language Models and Neural Response Measurements


Structural Similarity based Anatomical and Functional Brain Imaging Fusion


Structural Similarity-Inspired Unfolding for Lightweight Image Super-Resolution


Structural Symmetry, Multiplicity, and Differentiability of Eigenfrequencies


Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs


Structural Text Segmentation of Legal Documents


Structural adaptation via directional regularity: rate accelerated estimation in multivariate functional data


Structural and Statistical Audio Texture Knowledge Distillation (SSATKD) for Passive Sonar Classification


Structural determinants of soft memory in recurrent biological networks


Structural features of microvascular networks trigger blood-flow oscillations


Structural generalization is hard for sequence-to-sequence models


Structural identifiability analysis of epidemic models based on differential equations: A tutorial-based primer


Structural identifiability of linear-in-parameter parabolic PDEs through auxiliary elliptic operators


Structural inequalities exacerbate infection disparities: A computational approach


Structural measures of similarity and complementarity in complex networks


Structural properties of hard-disk fluids under single-file confinement


Structural reliability under uncertainty in moments: distributionally-robust reliability-based design optimization


Structural representations of DNA regulatory substrates can enhance sequence-based algorithms by associating functional sequence variants


Structural restrictions in local causal discovery: identifying direct causes of a target variable


Structural time series grammar over variable blocks


Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation


Structural-Spectral Graph Convolution with Evidential Edge Learning for Hyperspectral Image Clustering


Structural-Temporal Coupling Anomaly Detection with Dynamic Graph Transformer


Structural-analogy from a Single Image Pair


Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation


Structurally aware 3D gas distribution mapping using belief propagation: a real-time algorithm for robotic deployment


Structure Analysis of the FRP Rebar Using Computer Vision Techniques


Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis


Structure Extraction in Task-Oriented Dialogues with Slot Clustering


Structure Formation with Warm White Noise: Effects of Finite Number Density and Velocity Dispersion in Particle and Wave Dark Matter


Structure Invariant Transformation for better Adversarial Transferability


Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction


Structure Learning of Sparse GGMs over Multiple Access Networks


Structure Mapping for Transferability of Causal Models


Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting


Structure Modeling Activation Free Fourier Network for Spacecraft Image Denoising


Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer


Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization


Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal


Structure Similarity Preservation Learning for Asymmetric Image Retrieval


Structure Your Data: Towards Semantic Graph Counterfactuals


Structure and Dynamics of Deep Eutectic Systems from Cluster-Optimized Energy Functions


Structure and Melting of Fe, MgO, SiO2, and MgSiO3 in Planets: Database, Inversion, and Phase Diagram


Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties


Structure and dynamics of growing networks of Reddit threads


Structure and inference in hypergraphs with node attributes


Structure and position-aware graph neural network for airway labeling


Structure discovery in Atomic Force Microscopy imaging of ice


Structure formation and quasi-spherical collapse from initial curvature perturbations with numerical relativity simulations


Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects


Structure from Silence: Learning Scene Structure from Ambient Sound


Structure induced by a multiple membership transformation on the Conditional Autoregressive model


Structure prediction of two-dimensional materials based on neural network-driven evolutionary technique


Structure preserving discretization of time-reparametrized Hamiltonian systems with application to nonholonomic mechanics


Structure propagation for zero-shot learning


Structure to Property: Chemical Element Embeddings and a Deep Learning Approach for Accurate Prediction of Chemical Properties


Structure, Dynamics and Hydrogen Transport in Amorphous Polymers: An Analysis of the Interplay Between Free Volume Element Distribution and Local Segmental Dynamics from Molecular Dynamics Simulations


Structure, Organization and Heterogeneity of Water-Containing Deep Eutectic Solvents


Structure-Aligned Protein Language Model


Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion


Structure-Aware 3D VR Sketch to 3D Shape Retrieval


Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs


Structure-Aware Completion of Photogrammetric Meshes in Urban Road Environment


Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks


Structure-Aware Flow Generation for Human Body Reshaping


Structure-Aware Generation Network for Recipe Generation from Images


Structure-Aware Hierarchical Graph Pooling using Information Bottleneck


Structure-Aware Human Body Reshaping with Adaptive Affinity-Graph Network


Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data


Structure-Aware Methods for Expensive Derivative-Free Nonsmooth Composite Optimization


Structure-Aware NeRF without Posed Camera via Epipolar Constraint


Structure-Aware Robustness Certificates for Graph Classification


Structure-Aware Simplification for Hypergraph Visualization


Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation


Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence


Structure-Enhanced Pop Music Generation via Harmony-Aware Learning


Structure-Guided Input Graph for GNNs facing Heterophily


Structure-Informed Neural Networks for Boundary Observation Problems


Structure-Infused Copy Mechanisms for Abstractive Summarization


Structure-Invariant Testing for Machine Translation


Structure-Preference Enabled Graph Embedding Generation under Differential Privacy


Structure-Preserving Deraining with Residue Channel Prior Guidance


Structure-Preserving Discretization and Model Order Reduction of Boundary-Controlled 1D Port-Hamiltonian Systems


Structure-Preserving Discretization of Fractional Vector Calculus using Discrete Exterior Calculus


Structure-Preserving Graph Representation Learning


Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition


Structure-Preserving Numerical Methods for Fokker-Planck Equations


Structure-Preserving Numerical Methods for Two Nonlinear Systems of Dispersive Wave Equations


Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation


Structure-Preserving Transformation: Generating Diverse and Transferable Adversarial Examples


Structure-Preserving Transformers for Sequences of SPD Matrices


Structure-Regularized Attention for Deformable Object Representation


Structure-Unified M-Tree Coding Solver for MathWord Problem


Structure-aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation


Structure-aware Generative Network for 3D-Shape Modeling


Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity


Structure-aware Protein Self-supervised Learning


Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images


Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?


Structure-based Drug Design with Equivariant Diffusion Models


Structure-based approach to identifying small sets of driver nodes in biological networks


Structure-based drug design by denoising voxel grids


Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study


Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data


Structure-informed Language Models Are Protein Designers


Structure-preserving Image Translation for Depth Estimation in Colonoscopy Video


Structure-preserving approximations of the Serre-Green-Naghdi equations in standard and hyperbolic form


Structure-preserving contrastive learning for spatial time series


Structure-preserving neural networks in data-driven rheological models


Structured 3D Latents for Scalable and Versatile 3D Generation


Structured Adversarial Attack: Towards General Implementation and Better Interpretability


Structured Attention Composition for Temporal Action Localization


Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation


Structured Attentions for Visual Question Answering


Structured Bayesian Gaussian process latent variable model: applications to data-driven dimensionality reduction and high-dimensional inversion


Structured Bayesian Pruning via Log-Normal Multiplicative Noise


Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images


Structured Chemistry Reasoning with Large Language Models


Structured Click Control in Transformer-based Interactive Segmentation


Structured Content Preservation for Unsupervised Text Style Transfer


Structured Context Enhancement Network for Mouse Pose Estimation


Structured Convolutional Kernel Networks for Airline Crew Scheduling


Structured Cooperative Learning with Graphical Model Priors


Structured Deep Neural Network-Based Backstepping Trajectory Tracking Control for Lagrangian Systems


Structured Detection for Simultaneous Super-Resolution and Optical Sectioning in Laser Scanning Microscopy


Structured Dialogue System for Mental Health: An LLM Chatbot Leveraging the PM+ Guidelines


Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID


Structured DropConnect for Uncertainty Inference in Image Classification


Structured Embedding Models for Grouped Data


Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods


Structured Generative Adversarial Networks


Structured Gradient Descent for Fast Robust Low-Rank Hankel Matrix Completion


Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training


Structured Illumination in Spatial-Orientational Hyperspace


Structured Initialization for Attention in Vision Transformers


Structured Interpretation of Temporal Relations


Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC


Structured Kernel Estimation for Photon-Limited Deconvolution


Structured Kolmogorov-Arnold Neural ODEs for Interpretable Learning and Symbolic Discovery of Nonlinear Dynamics


Structured Learning in Time-dependent Cox Models


Structured Learning of Compositional Sequential Interventions


Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models


Structured Mechanical Models for Robot Learning and Control


Structured Minimally Supervised Learning for Neural Relation Extraction


Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding


Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling


Structured Multi-task Learning for Molecular Property Prediction


Structured Neural-PI Control for Networked Systems: Stability and Steady-State Optimality Guarantees


Structured Nonnegative Matrix Factorization for Traffic Flow Estimation of Large Cloud Networks


Structured Object-Aware Physics Prediction for Video Modeling and Planning


Structured Output Learning with Conditional Generative Flows


Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models


Structured Prediction for Conditional Meta-Learning


Structured Prediction with Partial Labelling through the Infimum Loss


Structured Pruning Learns Compact and Accurate Models


Structured Pruning and Quantization for Learned Image Compression


Structured Pruning for Deep Convolutional Neural Networks: A survey


Structured Pruning for Efficient ConvNets via Incremental Regularization


Structured Pruning of Large Language Models


Structured Random Model for Fast and Robust Phase Retrieval


Structured Recognition for Generative Models with Explaining Away


Structured Reinforcement Learning for Combinatorial Decision-Making


Structured Scene Memory for Vision-Language Navigation


Structured Sparsity Learning for Efficient Video Super-Resolution


Structured State Space Models for Multiple Instance Learning in Digital Pathology


Structured Summarization of Academic Publications


Structured Thoughts Automaton: First Formalized Execution Model for Auto-Regressive Language Models


Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing


Structured Triplet Learning with POS-tag Guided Attention for Visual Question Answering


Structured Tuning for Semantic Role Labeling


Structured Uncertainty in the Observation Space of Variational Autoencoders


Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning


Structured Variational Inference for Simulating Populations of Radio Galaxies


Structured Variational Inference in Unstable Gaussian Process State Space Models


Structured Weight Priors for Convolutional Neural Networks


Structured World Representations in Maze-Solving Transformers


Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks


Structured and Informed Probabilistic Modeling with the Thermodynamic Kolmogorov-Arnold Model


Structured dataset of reported cloud seeding activities in the United States (2000 to 2025) using a large language model


Structured illumination microscopy image reconstruction algorithm


Structured light pulses and their Lorentz-invariant mass


Structured methods for parameter inference and uncertainty quantification for mechanistic models in the life sciences


Structured model selection via $\ell_1-\ell_2$ optimization


Structured penalized regression for drug sensitivity prediction


Structured prediction models for RNN based sequence labeling in clinical text


Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning


Structured state-space models are deep Wiener models


Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks


Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling


Structuring Latent Spaces for Stylized Response Generation


Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning


Structuring the Processing Frameworks for Data Stream Evaluation and Application


Strudel: Learning Structured-Decomposable Probabilistic Circuits


StuArt: Individualized Classroom Observation of Students with Automatic Behavior Recognition and Tracking


Stubborn: An Environment for Evaluating Stubbornness between Agents with Aligned Incentives


Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning


Student Assessment in Cybersecurity Training Automated by Pattern Mining and Clustering


Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation


Student Dangerous Behavior Detection in School


Student Performance Prediction Using Dynamic Neural Models


Student similarity network clustering -- Does the time it takes for an answer to be selected follow a power-law?


Student-Initiated Action Advising via Advice Novelty


Student-Powered Digital Scholarship CoLab Project in the HKUST Library: Develop a Chinese Named-Entity Recognition (NER) Tool within One Semester from the Ground Up


Student-t Stochastic Volatility Model With Composite Likelihood EM-Algorithm


Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage


Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits


Studies of RR Lyrae Variables in Binary Systems. I.: Evidence of a Trimodal Companion Mass Distribution


Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels


Study Self-lensing/Eclipsing Signals in Edge-on Double White-Dwarf Systems


Study of Deep Generative Models for Inorganic Chemical Compositions


Study of changes in the pulsation period of 148 Galactic Cepheid variables


Study of keyword extraction techniques for Electric Double Layer Capacitor domain using text similarity indexes: An experimental analysis


Study of noise in virtual distillation circuits for quantum error mitigation


Study of pnictides for photovoltaic applications


Study of positional encoding approaches for Audio Spectrogram Transformers


Study of primordial non-Gaussianity $f_{\mathrm{NL}}$ and $g_{\mathrm{NL}}$ with the cross-correlations between the scalar-induced gravitational waves and the cosmic microwave background


Study on Transfer Learning Capabilities for Pneumonia Classification in Chest-X-Rays Image


Study on a Fast Solver for Combined Field Integral Equations of 3D Conducting Bodies Based on Graph Neural Networks


Study on the Helpfulness of Explainable Artificial Intelligence


StudyU: a platform for designing and conducting innovative digital N-of-1 trials


Studying Ad Library Integration Strategies of Top Free-to-Download Apps


Studying Alignment in a Collaborative Learning Activity via Automatic Methods: The Link Between What We Say and Do


Studying Catastrophic Forgetting in Neural Ranking Models


Studying Cultural Differences in Emoji Usage across the East and the West


Studying Disease Reinfection Rates, Vaccine Efficacy and the Timing of Vaccine Rollout in the context of Infectious Diseases


Studying Duplicate Logging Statements and Their Relationships with Code Clones


Studying How to Efficiently and Effectively Guide Models with Explanations


Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens


Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documents


Studying Limits of Explainability by Integrated Gradients for Gene Expression Models


Studying Moral-based Differences in the Framing of Political Tweets


Studying Politeness across Cultures Using English Twitter and Mandarin Weibo


Studying Socially Unacceptable Discourse Classification (SUD) through different eyes: "Are we on the same page ?"


Studying Taxonomy Enrichment on Diachronic WordNet Versions


Studying and Recommending Information Highlighting in Stack Overflow Answers


Studying habitability of the exoplanets Kepler-504 b, Kepler-315 b, and Kepler-315 c


Studying the Characteristics of AIOps Projects on GitHub


Studying the Effects of Collaboration in Interactive Theme Discovery Systems


Studying the History of the Arabic Language: Language Technology and a Large-Scale Historical Corpus


Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality


Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages


Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning


Studying the Physical Properties of Tidal Features I. Extracting Morphological Substructure in CANDELS Observations and VELA Simulations


Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks


Studying the effect of AI Code Generators on Supporting Novice Learners in Introductory Programming


Studying the impact of magnitude pruning on contrastive learning methods


Studying the link between radio galaxies and AGN fuelling with relativistic hydrodynamic simulations of flickering jets


Studying the morphology of reionisation with the triangle correlation function of phases


Studying the workload of a fully decentralized Web3 system: IPFS


Studying word order through iterative shuffling


StuffNet: Using 'Stuff' to Improve Object Detection


Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks


Stutter Diagnosis and Therapy System Based on Deep Learning


StyLEx: Explaining Style Using Human Lexical Annotations


StyLess: Boosting the Transferability of Adversarial Examples


Style Blind Domain Generalized Semantic Segmentation via Covariance Alignment and Semantic Consistence Contrastive Learning


Style Classification of Rabbinic Literature for Detection of Lost Midrash Tanhuma Material


Style Generator Inversion for Image Enhancement and Animation


Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer


Style Interleaved Learning for Generalizable Person Re-identification


Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation


Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking


Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness


Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition


Style Transfer for 2D Talking Head Animation


Style Transfer with Diffusion Models for Synthetic-to-Real Domain Adaptation


Style Transfer with Multi-iteration Preference Optimization


Style Transformer for Image Inversion and Editing


Style Vectors for Steering Generative Large Language Model


Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment


Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style Transfer


Style-Aligned Image Composition for Robust Detection of Abnormal Cells in Cytopathology


Style-Based Global Appearance Flow for Virtual Try-On


Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation


Style-Specific Neurons for Steering LLMs in Text Style Transfer


Style-based Point Generator with Adversarial Rendering for Point Cloud Completion


Style-based quantum generative adversarial networks for Monte Carlo events


Style2Code: A Style-Controllable Code Generation Framework with Dual-Modal Contrastive Representation Learning


StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning


StyleAlign: Analysis and Applications of Aligned StyleGAN Models


StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation


StyleAvatar: Real-time Photo-realistic Portrait Avatar from a Single Video


StyleBART: Decorate Pretrained Model with Style Adapters for Unsupervised Stylistic Headline Generation


StyleBlend: Enhancing Style-Specific Content Creation in Text-to-Image Diffusion Models


StyleCariGAN: Caricature Generation via StyleGAN Feature Map Modulation


StyleCineGAN: Landscape Cinemagraph Generation using a Pre-trained StyleGAN


StyleDGPT: Stylized Response Generation with Pre-trained Language Models


StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing


StyleDyRF: Zero-shot 4D Style Transfer for Dynamic Neural Radiance Fields


StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning


StyleFaceV: Face Video Generation via Decomposing and Recomposing Pretrained StyleGAN3


StyleFlow For Content-Fixed Image to Image Translation


StyleFool: Fooling Video Classification Systems via Style Transfer


StyleFusion: A Generative Model for Disentangling Spatial Segments


StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN


StyleGAN-Human: A Data-Centric Odyssey of Human Generation


StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis


StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets


StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces


StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN


StyleID: Identity Disentanglement for Anonymizing Faces


StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation


StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commands


StyleLight: HDR Panorama Generation for Lighting Estimation and Editing


StyleMask: Disentangling the Style Space of StyleGAN2 for Neural Face Reenactment


StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions


StyleNAT: Giving Each Head a New Perspective


StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis


StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer


StylePeople: A Generative Model of Fullbody Human Avatars


StylePrompter: All Styles Need Is Attention


StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields


StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements


StyleRes: Transforming the Residuals for Real Image Editing with StyleGAN


StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation


StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis


StyleSpeech: Parameter-efficient Fine Tuning for Pre-trained Controllable Text-to-Speech


StyleSwin: Transformer-based GAN for High-resolution Image Generation


StyleT2F: Generating Human Faces from Textual Description Using StyleGAN2


StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis


StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from Style-Based TTS Models


StyleTalk: One-shot Talking Head Generation with Controllable Speaking Styles


StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion Models


Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models


Stylecodes: Encoding Stylistic Information For Image Generation


StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model


Stylised Choropleth Maps for New Zealand Regions and District Health Boards


Stylistic Fingerprints, POS-tags and Inflected Languages: A Case Study in Polish


Stylistic Multi-Task Analysis of Ukiyo-e Woodblock Prints


Stylized Face Sketch Extraction via Generative Prior with Limited Data


StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning


Stylometric Detection of AI-Generated Text in Twitter Timelines


Styx: Transactional Stateful Functions on Streaming Dataflows


SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering


SuMa++: Efficient LiDAR-based Semantic SLAM


SuMe: A Dataset Towards Summarizing Biomedical Mechanisms


SuPLE: Robot Learning with Lyapunov Rewards


SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs


SuS-X: Training-Free Name-Only Transfer of Vision-Language Models


SuSi: Supervised Self-Organizing Maps for Regression and Classification in Python


Sub-0.1 degree phase locking of a single-photon interferometer


Sub-Architecture Ensemble Pruning in Neural Architecture Search


Sub-Character Tokenization for Chinese Pretrained Language Models


Sub-DM:Subspace Diffusion Model with Orthogonal Decomposition for MRI Reconstruction


Sub-Instruction Aware Vision-and-Language Navigation


Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution


Sub-SA: Strengthen In-context Learning via Submodular Selective Annotation


Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations


Sub-Sequential Physics-Informed Learning with State Space Model


Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks


Sub-Word Alignment Is Still Useful: A Vest-Pocket Method for Enhancing Low-Resource Machine Translation


Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks


Sub-event detection from Twitter streams as a sequence labeling problem


Sub-goal Distillation: A Method to Improve Small Language Agents


Sub-micrometer phonon mean free paths in metal-organic frameworks revealed by machine-learning molecular dynamics simulations


Sub-sampling and other considerations for efficient risk estimation in large portfolios


Sub-sampling for Efficient Non-Parametric Bandit Exploration


Sub-token ViT Embedding via Stochastic Resonance Transformers


Sub-universal variational circuits for combinatorial optimization problems


SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic Graphs


SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning


SubGram: Extending Skip-gram Word Representation with Substrings


SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification


SubPipe: A Submarine Pipeline Inspection Dataset for Segmentation and Visual-inertial Localization


SubRegWeigh: Effective and Efficient Annotation Weighing with Subword Regularization


SubSpectralNet - Using Sub-Spectrogram based Convolutional Neural Networks for Acoustic Scene Classification


SubStrat: A Subset-Based Strategy for Faster AutoML


SubZero: Subspace Zero-Shot MRI Reconstruction


Subaru HSC weak lensing of SDSS redMaPPer cluster satellite galaxies: Empirical upper limit on orphan fractions


Subcellular nano-chemical characterization in photothermal spectroscopic imaging of antimicrobial interaction in model system Bacillus subtilis & vancomycin


Subcubic planar graphs of girth 7 are class I


Subdiffusive semantic evolution in Indo-European languages


Subdimensional Expansion Using Attention-Based Learning For Multi-Agent Path Finding


Subdivision schemes based on weighted local polynomial regression. A new technique for the convergence analysis


Subdivision-Based Mesh Convolution Networks


Subdivisions and Crossroads: Identifying Hidden Community Structures in a Data Archive's Citation Network


Subequivariant Graph Reinforcement Learning in 3D Environments


SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller


Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers


Subgoal Search For Complex Reasoning Tasks


Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration


SubgoalXL: Subgoal-based Expert Learning for Theorem Proving


Subgradient Descent Learns Orthogonal Dictionaries


Subgradient Langevin Methods for Sampling from Non-smooth Potentials


Subgradient Regularization: A Descent-Oriented Subgradient Method for Nonsmooth Optimization


Subgradient Regularized Multivariate Convex Regression at Scale


Subgraph Aggregation for Out-of-Distribution Generalization on Graphs


Subgraph Federated Learning for Local Generalization


Subgraph Federated Learning with Missing Neighbor Generation


Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation Learning


Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs


Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering


Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products


Subgroup Generalization and Fairness of Graph Neural Networks


Subgroup Identification using Covariate Adjusted Interaction Trees


Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation


Subgroup analysis for the functional linear model


Subgroup analysis methods for time-to-event outcomes in heterogeneous randomized controlled trials


Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy


SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification


Subgroups Matter for Robust Bias Mitigation


Subhalo effective density slope measurements from HST strong lensing data with neural likelihood-ratio estimation


Subhalos are Distributed Anisotropically About Their Hosts


SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature Analysis


SubjQA: A Dataset for Subjectivity and Review Comprehension


Subject Adaptive EEG-based Visual Recognition


Subject Cross Validation in Human Activity Recognition


Subject clustering by IF-PCA and several recent methods


Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification


Subject-Based Domain Adaptation for Facial Expression Recognition


Subject-Independent Drowsiness Recognition from Single-Channel EEG with an Interpretable CNN-LSTM model


Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain Images


Subjective Face Transform using Human First Impressions


Subjective Question Answering: Deciphering the inner workings of Transformers in the realm of subjectivity


Subjective Visual Quality Assessment for High-Fidelity Learning-Based Image Compression


Subjective and Objective Analysis of Indian Social Media Video Quality


Subjective and Objective Quality Assessment for in-the-Wild Computer Graphics Images


Subjective and Objective Quality Assessment of High Frame Rate Videos


Subjective and Objective Quality Assessment of High-Motion Sports Videos at Low-Bitrates


Subjective and Objective Quality Assessment of Non-Uniformly Distorted Omnidirectional Images


Subjective assessment of the impact of a content adaptive optimiser for compressing 4K HDR content with AV1


Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment


Sublinear Domination and Core-Periphery Networks


Sublinear Time Approximation of Text Similarity Matrices


Sublinear Time Eigenvalue Approximation via Random Sampling


Sublinear-Time Clustering Oracle for Signed Graphs


Sublinear-Time Opinion Estimation in the Friedkin--Johnsen Model


Submodlib: A Submodular Optimization Library


Submodular Batch Selection for Training Deep Neural Networks


Submodular Framework for Structured-Sparse Optimal Transport


Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering


Submodular Maximization Beyond Non-negativity: Guarantees, Fast Algorithms, and Applications


Submodular Maximization via Taylor Series Approximation


Submodular relaxation for inference in Markov random fields


Subnetwork Constraints for Tighter Upper Bounds and Exact Solution of the Clique Partitioning Problem


Subnetwork enumeration algorithms for multilayer networks


Suboptimal Control of Unknown Second-order Nonlinear Systems with Guaranteed Global Convergence


Suboptimal Performance of the Bayes Optimal Algorithm in Frequentist Best Arm Identification


Suboptimal coverings for continuous spaces of control tasks


Suboptimality bounds for trace-bounded SDPs enable a faster and scalable low-rank SDP solver SDPLR+


Subpath-Based Column Generation for the Electric Routing-Scheduling Problem


Subquadratic Kronecker Regression with Applications to Tensor Decomposition


Subsampled Ensemble Can Improve Generalization Tail Exponentially


Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss


Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation


Subsampling-Based Modified Bayesian Information Criterion for Large-Scale Stochastic Block Models


Subsampling-based Tests in Mediation Analysis


Subscriptions and external links help drive resentful users to alternative and extremist YouTube videos


SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking


Subsentence Extraction from Text Using Coverage-Based Deep Learning Language Models


Subset Node Anomaly Tracking over Large Dynamic Graphs


Subset Node Representation Learning over Large Dynamic Graphs


Subset Sampling For Progressive Neural Network Learning


Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions


Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is low


Subset Testing and Analysis of Multiple Phenotypes (STAMP)


Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression


Subspace Adaptation Prior for Few-Shot Learning


Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks


Subspace Clustering Based Analysis of Neural Networks


Subspace Clustering in Wavelet Packets Domain


Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections


Subspace Diagonalization on Quantum Computers using Eigenvector Continuation


Subspace Distillation for Continual Learning


Subspace Identification for Multi-Source Domain Adaptation


Subspace Inference for Bayesian Deep Learning


Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases


Subspace Nonnegative Matrix Factorization for Feature Representation


Subspace Optimization for Large Language Models with Convergence Guarantees


Subspace Regularizers for Few-Shot Class Incremental Learning


Subspace Representations for Soft Set Operations and Sentence Similarities


Subspace Support Vector Data Description


Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap


Subspace embedding with random Khatri-Rao products and its application to eigensolvers


Subspace method of moments for ab initio 3-D single-particle Cryo-EM reconstruction


Subspace power method for symmetric tensor decomposition


Subspace-Based Feature Fusion From Hyperspectral And Multispectral Image For Land Cover Classification


Subspace-Constrained Quadratic Matrix Factorization: Algorithm and Applications


SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation


Substance over Style: Document-Level Targeted Content Transfer


Substitute Based SCODE Word Embeddings in Supervised NLP Tasks


Substitute Teacher Networks: Learning with Almost No Supervision


Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text Classification


Substitution-based Semantic Change Detection using Contextual Embeddings


Substitutional Alloying Using Crystal Graph Neural Networks


Substrate Prediction for RiPP Biosynthetic Enzymes via Masked Language Modeling and Transfer Learning


Substrate geometry affects population dynamics in a bacterial biofilm


Substructure Detection Reanalyzed: Dark Perturber shown to be a Line-of-Sight Halo


Substructure in the stellar halo near the Sun. I. Data-driven clustering in Integrals of Motion space


Subsurface Characterization using Ensemble-based Approaches with Deep Generative Models


Subsurface pulse, crater and ejecta asymmetry from oblique impacts into granular media


Subtyping patients with chronic disease using longitudinal BMI patterns


Subversive Characters and Stereotyping Readers: Characterizing Queer Relationalities with Dialogue-Based Relation Extraction


Subword Encoding in Lattice LSTM for Chinese Word Segmentation


Subword Language Model for Query Auto-Completion


Subword Mapping and Anchoring across Languages


Subword RNNLM Approximations for Out-Of-Vocabulary Keyword Search


Subword Segmental Language Modelling for Nguni Languages


Subword Segmental Machine Translation: Unifying Segmentation and Target Sentence Generation


Subword-Delimited Downsampling for Better Character-Level Translation


Subword-augmented Embedding for Cloze Reading Comprehension


Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning


Success is in the Details: Evaluate and Enhance Details Sensitivity of Code LLMs through Counterfactuals


Successive Convex Approximation Based Off-Policy Optimization for Constrained Reinforcement Learning


Successive Convexification for Nonlinear Model Predictive Control with Continuous-Time Constraint Satisfaction


Successive Convexification for Trajectory Optimization with Continuous-Time Constraint Satisfaction


Successive Embedding and Classification Loss for Aerial Image Classification


Successive Linear Approximation VBI for Joint Sparse Signal Recovery and Dynamic Grid Parameters Estimation


Successive Pose Estimation and Beam Tracking for mmWave Vehicular Communication Systems


Successive optimization of optics and post-processing with differentiable coherent PSF operator and field information


Successive randomized compression: A randomized algorithm for the compressed MPO-MPS product


Successor Options: An Option Discovery Framework for Reinforcement Learning


Successor Representation Active Inference


Succinct Trit-array Trie for Scalable Trajectory Similarity Search


Succinct and Robust Multi-Agent Communication With Temporal Message Control


Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs


SudoQ -- a quantum variant of the popular game


Sudoku-Bench: Evaluating creative reasoning with Sudoku variants


Sudoku: Decomposing DRAM Address Mapping into Component Functions


SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling


Sufficiency of a Gaussian power spectrum likelihood for accurate cosmology from upcoming weak lensing surveys


Sufficient Conditions for Persistency of Excitation with Step and ReLU Activation Functions


Sufficient Identification Conditions and Semiparametric Estimation under Missing Not at Random Mechanisms


Sufficient conditions for offline reactivation in recurrent neural networks


Sufficient dimension reduction for classification using principal optimal transport direction


Suffix Retrieval-Augmented Language Modeling


Sugar-Coated Poison: Benign Generation Unlocks LLM Jailbreaking


SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality


Suggestion Mining from Online Reviews using ULMFiT


Sulcal Pattern Matching with the Wasserstein Distance


Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric Measure


Sum of all Black-Scholes-Merton models: An efficient pricing method for spread, basket, and Asian options


Sum-Product Networks for Robust Automatic Speaker Identification


Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs


Sum-factorization techniques in Isogeometric Analysis


Sum-of-Squares proofs of logarithmic Sobolev inequalities on finite Markov chains


Sum-of-squares optimization without semidefinite programming


SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization


SumQE: a BERT-based Summary Quality Estimation Model


SumREN: Summarizing Reported Speech about Events in News


SumRec: A Framework for Recommendation using Open-Domain Dialogue


SumTra: A Differentiable Pipeline for Few-Shot Cross-Lingual Summarization


SumVg: Total heritability explained by all variants in genome-wide association studies based on summary statistics with standard error estimates


SummIt: Iterative Text Summarization via ChatGPT


SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression


SummQA at MEDIQA-Chat 2023:In-Context Learning with GPT-4 for Medical Summarization


SummScreen: A Dataset for Abstractive Screenplay Summarization


SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization


SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization


Summarisation of German Judgments in conjunction with a Class-based Evaluation


Summarising Historical Text in Modern Languages


Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees


Summarization as Indirect Supervision for Relation Extraction


Summarization-Based Document IDs for Generative Retrieval with Language Models


Summarization-based Data Augmentation for Document Classification


Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages


Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection


Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension


Summarizing Bayesian Nonparametric Mixture Posterior -- Sliced Optimal Transport Metrics for Gaussian Mixtures


Summarizing Diverging String Sequences, with Applications to Chain-Letter Petitions


Summarizing Stream Data for Memory-Constrained Online Continual Learning


Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries


Summarizing and Exploring Tabular Data in Conversational Search


Summarizing, Simplifying, and Synthesizing Medical Evidence Using GPT-3 (with Varying Success)


Summary Explorer: Visualizing the State of the Art in Text Summarization


Summary Statistic Privacy in Data Sharing


Summary characteristics for multivariate function-valued spatial point process attributes


Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems


Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization


Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline


SummaryLens -- A Smartphone App for Exploring Interactive Use of Automated Text Summarization in Everyday Life


Summation-by-Parts Finite-Difference Method for Linear Shallow Water Equations on Staggered Curvilinear Grids in Closed Domains


Summation-by-parts operators for general function spaces


Summation-by-parts operators for general function spaces: The second derivative


Summer Research Report: Towards Incremental Lazard Cylindrical Algebraic Decomposition


SummerTime: Text Summarization Toolkit for Non-experts


Summing bulk quantum numbers with Monte Carlo in spin foam theories


Summit Vitals: Multi-Camera and Multi-Signal Biosensing at High Altitudes


Sumotosima: A Framework and Dataset for Classifying and Summarizing Otoscopic Images


Sums of Hurwitz class numbers, CM modular forms, and primes of the form $x^2+ny^2$


Sums of squares certificates for polynomial moment inequalities


Sums of squares representations on singular loci


Sunspot positions from observations by Flaugergues in the Dalton Minimum


SupFusion: Supervised LiDAR-Camera Fusion for 3D Object Detection


SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy


SupeRGB-D: Zero-shot Instance Segmentation in Cluttered Indoor Environments


Super Low Resolution RF Powered Accelerometers for Alerting on Hospitalized Patient Bed Exits


Super Multiset RSK and a Mixed Multiset Partition Algebra


Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization


Super accurate low latency object detection on a surveillance UAV


Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization


Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation


Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning


Super-Linear Growth Reveals the Allee Effect in Tumors


Super-Resolution Based Patch-Free 3D Image Segmentation with High-Frequency Guidance


Super-Resolution Domain Adaptation Networks for Semantic Segmentation via Pixel and Output Level Aligning


Super-Resolution Information Enhancement For Crowd Counting


Super-Resolution Radar Imaging with Sparse Arrays Using a Deep Neural Network Trained with Enhanced Virtual Data


Super-Resolution Surface Reconstruction from Few Low-Resolution Slices


Super-Resolution of 3D Micro-CT Images Using Generative Adversarial Networks: Enhancing Resolution and Segmentation Accuracy


Super-Resolution of BVOC Emission Maps Via Domain Adaptation


Super-Resolution of Three-Dimensional Temperature and Velocity for Building-Resolving Urban Micrometeorology Using Physics-Guided Convolutional Neural Networks with Image Inpainting Techniques


Super-Resolution on Rotationally Scanned Photoacoustic Microscopy Images Incorporating Scanning Prior


Super-Resolution via Image-Adapted Denoising CNNs: Incorporating External and Internal Learning


Super-Resolution without High-Resolution Labels for Black Hole Simulations


Super-Resolving Face Image by Facial Parsing Information


Super-class guided Transformer for Zero-Shot Attribute Classification


Super-k: A Piecewise Linear Classifier Based on Voronoi Tessellations


Super-klust: Another Way of Piecewise Linear Classification


Super-linear Scaling Behavior for Electric Vehicle Chargers and Road Map to Addressing the Infrastructure Gap


Super-localised wave function approximation of Bose-Einstein condensates


Super-resolution 3D Human Shape from a Single Low-Resolution Image


Super-resolution GANs of randomly-seeded fields


Super-resolution Probabilistic Rain Prediction from Satellite Data Using 3D U-Nets and EarthFormers


Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels


Super-resolution fluorescence microscopy by stepwise optical saturation


Super-resolution of Omnidirectional Images Using Adversarial Learning


Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutions


Super-resolving Compressed Images via Parallel and Series Integration of Artifact Reduction and Resolution Enhancement


Super-resolving Dark Matter Halos using Generative Deep Learning


Super-sample covariance of the power spectrum, bispectrum, halos, voids, and their cross covariances


SuperARC: An Agnostic Test for Narrow, General, and Super Intelligence Based On the Principles of Recursive Compression and Algorithmic Probability


SuperAnimal pretrained pose estimation models for behavioral analysis


SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning


SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applications


SuperCodec: A Neural Speech Codec with Selective Back-Projection Network


SuperDialseg: A Large-scale Dataset for Supervised Dialogue Segmentation


SuperEIO: Self-Supervised Event Feature Learning for Event Inertial Odometry


SuperEdge: Towards a Generalization Model for Self-Supervised Edge Detection


SuperEdit: Rectifying and Facilitating Supervision for Instruction-Based Image Editing


SuperFaB: a fabulous code for Spherical Fourier-Bessel decomposition


SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution


SuperGS: Super-Resolution 3D Gaussian Splatting Enhanced by Variational Residual Features and Uncertainty-Augmented Learning


SuperGaussians: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors


SuperHF: Supervised Iterative Learning from Human Feedback


SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud


SuperMat: Construction of a linked annotated dataset from superconductors-related publications


SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Metal Forming Stress Field with Attention Mechanism and Perceptual Features


SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks


SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing


SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks


SuperNormal: Neural Surface Reconstruction via Multi-View Normal Integration


SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery


SuperPoint-SLAM3: Augmenting ORB-SLAM3 with Deep Features, Adaptive NMS, and Learning-Based Loop Closure


SuperSAM: Crafting a SAM Supernetwork via Structured Pruning and Unstructured Parameter Prioritization


SuperSVG: Superpixel-based Scalable Vector Graphics Synthesis


SuperScreen: An open-source package for simulating the magnetic response of two-dimensional superconducting devices


SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection


SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder


SuperSuit: Simple Microwrappers for Reinforcement Learning Environments


SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning


SuperTracer: A Calculator of Functional Supertraces for One-Loop EFT Matching


SuperUDF: Self-supervised UDF Estimation for Surface Reconstruction


SuperVINS: A Real-Time Visual-Inertial SLAM Framework for Challenging Imaging Conditions


SuperVessel: Segmenting High-resolution Vessel from Low-resolution Retinal Image


SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models


SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery


Superaccurate Camera Calibration via Inverse Rendering


Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words


Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer


Supercharging the APGAS Programming Model with Relocatable Distributed Collections


Superclustering by finding statistically significant separable groups of optimal gaussian clusters


Superclusters from velocity divergence fields


Supercomputing with MPI meets the Common Workflow Language standards: an experience report


Superconducting qubit based on a single molecule: the carbon nanotube gatemon


Superconductivity in the bilayer Hubbard model: Are two Fermi surfaces better than one?


Superdense Coding and Stabiliser Codes with Ising-coupled Entanglement


Superfast Configuration-Space Convex Set Computation on GPUs for Online Motion Planning


Superfast direct inversion of the nonuniform discrete Fourier transform via hierarchically semi-separable least squares


Superfast maximum likelihood reconstruction for quantum tomography


Superficial Consciousness Hypothesis for Autoregressive Transformers


Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning


Superflares on solar-like stars: A new method for identifying the true flare sources in photometric surveys


Superfloccinaucinihilipilification: Semisimple unifications of any gauge theory


Supergravity Component Reduction with Computer Algebra


Superionic Ionic Conductor Discovery via Multiscale Topological Learning


Superior Genetic Algorithms for the Target Set Selection Problem Based on Power-Law Parameter Choices and Simple Greedy Heuristics


Superior Polymeric Gas Separation Membrane Designed by Explainable Graph Machine Learning


Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction


Superlatives in Context: Modeling the Implicit Semantics of Superlatives


Supermartingale Certificates for Quantitative Omega-regular Verification and Control


Supermassive black hole growth in hierarchically merging nuclear star clusters


Supermassive black holes from runaway mergers and accretion in nuclear star clusters


Supernet Training for Federated Image Classification under System Heterogeneity


Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking


Supernova Photometric Classification Pipelines Trained on Spectroscopically Classified Supernovae from the Pan-STARRS1 Medium-Deep Survey


Supernova-Neutrino-Boosted Dark Matter from All Galaxies


Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification


Superpixel Convolutional Networks using Bilateral Inceptions


Superpixel Image Classification with Graph Attention Networks


Superpixel Segmentation using Dynamic and Iterative Spanning Forest


Superpixel Segmentation via Convolutional Neural Networks with Regularized Information Maximization


Superpixel Segmentation with Fully Convolutional Networks


Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens


Superpixel-based Knowledge Infusion in Deep Neural Networks for Image Classification


Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering


Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification


Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation


SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation


Superpixels algorithms through network community detection


Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction


Superpoint Transformer for 3D Scene Instance Segmentation


Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass


Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation


Superposition Yields Robust Neural Scaling


Superposition in Transformers: A Novel Way of Building Mixture of Experts


Superpowering Open-Vocabulary Object Detectors for X-ray Vision


Superresolution photoacoustic tomography using random speckle illumination and second order moments


Supersampling of Data from Structured-light Scanner with Deep Learning


Superscopes: Amplifying Internal Feature Representations for Language Model Interpretation


Superset Technique for Approximate Recovery in One-Bit Compressed Sensing


Supersingular Isogeny Graphs from Algebraic Modular Curves


Supersparse Linear Integer Models for Optimized Medical Scoring Systems


Superstabilizing Control of Discrete-Time ARX Models under Error in Variables


Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks


Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories


Supertoroid fitting of objects with holes for robotic grasping and scene generation


Supervised Acoustic Embeddings And Their Transferability Across Languages


Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning


Supervised Attribute Information Removal and Reconstruction for Image Manipulation


Supervised Bayesian joint graphical model for simultaneous network estimation and subgroup identification


Supervised Contamination Detection, with Flow Cytometry Application


Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks


Supervised Contrastive CSI Representation Learning for Massive MIMO Positioning


Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Prediction


Supervised Contrastive Learning for Affect Modelling


Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours from Multimodal Videos


Supervised Contrastive Learning for Interpretable Long-Form Document Matching


Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic


Supervised Contrastive Learning for Product Matching


Supervised Contrastive Learning with Hard Negative Samples


Supervised Coupled Matrix-Tensor Factorization (SCMTF) for Computational Phenotyping of Patient Reported Outcomes in Ulcerative Colitis


Supervised Deep Learning for Content-Aware Image Retargeting with Fourier Convolutions


Supervised Dimensionality Reduction and Image Classification Utilizing Convolutional Autoencoders


Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction


Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus Images


Supervised Encoding for Discrete Representation Learning


Supervised Enhanced Soft Subspace Clustering (SESSC) for TSK Fuzzy Classifiers


Supervised Feature Compression based on Counterfactual Analysis


Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks


Supervised Fine-tuning in turn Improves Visual Foundation Models


Supervised Grapheme-to-Phoneme Conversion of Orthographic Schwas in Hindi and Punjabi


Supervised Hierarchical Clustering with Exponential Linkage


Supervised Homography Learning with Realistic Dataset Generation


Supervised Jet Clustering with Graph Neural Networks for Lorentz Boosted Bosons


Supervised Knowledge Makes Large Language Models Better In-context Learners


Supervised Knowledge May Hurt Novel Class Discovery Performance


Supervised Learning Algorithms for Controlling Underactuated Dynamical Systems


Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social Media


Supervised Learning and Model Analysis with Compositional Data


Supervised Learning and the Finite-Temperature String Method for Computing Committor Functions and Reaction Rates


Supervised Learning for Multi Zone Sound Field Reproduction under Harsh Environmental Conditions


Supervised Learning for Non-Sequential Data: A Canonical Polyadic Decomposition Approach


Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks


Supervised Learning on Relational Databases with Graph Neural Networks


Supervised Learning without Backpropagation using Spike-Timing-Dependent Plasticity for Image Recognition


Supervised Learning-enhanced Multi-Group Actor Critic for Live Stream Allocation in Feed


Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations


Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization


Supervised Models Can Generalize Also When Trained on Random Label


Supervised Multiple Kernel Learning approaches for multi-omics data integration


Supervised Quadratic Feature Analysis: Information Geometry Approach for Dimensionality Reduction


Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes


Supervised Robustness-preserving Data-free Neural Network Pruning


Supervised Saliency Map Driven Segmentation of the Lesions in Dermoscopic Images


Supervised Sentiment Classification with CNNs for Diverse SE Datasets


Supervised Speech Representation Learning for Parkinson's Disease Classification


Supervised Stochastic Neighbor Embedding Using Contrastive Learning


Supervised Symbolic Music Style Translation Using Synthetic Data


Supervised Tractogram Filtering using Geometric Deep Learning


Supervised Training of Conditional Monge Maps


Supervised Training of Neural-Network Quantum States for the Next Nearest Neighbor Ising model


Supervised Vector Quantized Variational Autoencoder for Learning Interpretable Global Representations


Supervised and Unsupervised Detections for Multiple Object Tracking in Traffic Scenes: A Comparative Study


Supervised and Unsupervised Learning of Audio Representations for Music Understanding


Supervised brain node and network construction under voxel-level functional imaging


Supervised deep learning of elastic SRV distances on the shape space of curves


Supervised dimensionality reduction by a Linear Discriminant Analysis on pre-trained CNN features


Supervised learning for the prediction of firm dynamics


Supervised learning of random quantum circuits via scalable neural networks


Supervised machine learning for microbiomics: bridging the gap between current and best practices


Supervised multi-specialist topic model with applications on large-scale electronic health record data


Supervised online diarization with sample mean loss for multi-domain data


Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union


Supervising Model Attention with Human Explanations for Robust Natural Language Inference


Supervising Remote Sensing Change Detection Models with 3D Surface Semantics


Supervising Smart Home Device Interactions: A Profile-Based Firewall Approach


Supervising the Centroid Baseline for Extractive Multi-Document Summarization


Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility


Supervising the Multi-Fidelity Race of Hyperparameter Configurations


Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study


Supervision policies can shape long-term risk management in general-purpose AI models


Supervisory Control for Dynamic Feature Configuration in Product Lines


Supplementary Features of BiLSTM for Enhanced Sequence Labeling


Supplementing Missing Visions via Dialog for Scene Graph Generations


Supplementing Recurrent Neural Networks with Annealing to Solve Combinatorial Optimization Problems


Supply chain network rewiring dynamics at the firm-level


Supply-Side Equilibria in Recommender Systems


Support Recovery with Stochastic Gates: Theory and Application for Linear Models


Support Vector Boosting Machine (SVBM): Enhancing Classification Performance with AdaBoost and Residual Connections


Support Vector Machines with the Hard-Margin Loss: Optimal Training via Combinatorial Benders' Cuts


Support and Scandals in GameFi dApps: A Network Analysis of The Sandbox Transactions


Support or Refute: Analyzing the Stance of Evidence to Detect Out-of-Context Mis- and Disinformation


Support the Underground: Characteristics of Beyond-Mainstream Music Listeners


Support vector machines and Radon's theorem


Support vector machines and linear regression coincide with very high-dimensional features


Support vector machines for learning reactive islands


Support vector machines on the D-Wave quantum annealer


Support-Set Context Matters for Bongard Problems


Support-set based Multi-modal Representation Enhancement for Video Captioning


SupportNet: solving catastrophic forgetting in class incremental learning with support data


Supporting Bayesian modelling workflows with iterative filtering for multiverse analysis


Supporting Clustering with Contrastive Learning


Supporting Cognitive and Emotional Empathic Writing of Students


Supporting Custom Instructions with the LLVM Compiler for RISC-V Processor


Supporting Deterministic Traffic on Standard NICs


Supporting Domain Data Selection in Data-Enhanced Process Models


Supporting Evidence-Based Medicine by Finding Both Relevant and Significant Works


Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest


Supporting Multi-Cloud in Serverless Computing


Supporting Optimal Phase Space Reconstructions Using Neural Network Architecture for Time Series Modeling


Supporting Post-disaster Recovery with Agent-based Modeling in Multilayer Socio-physical Networks


Supporting Schema References in Keyword Queries over Relational Databases


Supporting Unified Shader Specialization by Co-opting C++ Features


Supporting large-scale image recognition with out-of-domain samples


Supporting product launching decisions with adversarial risk analysis


Supporting single responsibility through automated extract method refactoring


Supporting supervised learning in fungal Biosynthetic Gene Cluster discovery: new benchmark datasets


Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs


Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques


Suppress-and-Refine Framework for End-to-End 3D Object Detection


Suppressed Charge Dispersion via Resonant Tunneling in a Single-Channel Transmon


Suppressing Mislabeled Data via Grouping and Self-Attention


Suppressing Modulation Instability with Reinforcement Learning


Suppressing Poisoning Attacks on Federated Learning for Medical Imaging


Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning


Suppressing quantum circuit errors due to system variability


Suppression of Correlated Noise with Similarity-based Unsupervised Deep Learning


Suppression of Motion Artifacts Caused by Temporally Recurring Tracer Distributions in Multi-Patch Magnetic Particle Imaging


Suppression of lattice thermal conductivity by mass-conserving cation mutation in multi-component semiconductors


Supra-Laplacian Encoding for Transformer on Dynamic Graphs


SurANet: Surrounding-Aware Network for Concealed Object Detection via Highly-Efficient Interactive Contrastive Learning Strategy


SurFree: a fast surrogate-free black-box attack


SurGen: 1020 H&E-stained Whole Slide Images With Survival and Genetic Markers


SureMap: Simultaneous Mean Estimation for Single-Task and Multi-Task Disaggregated Evaluation


SurfCon: Synonym Discovery on Privacy-Aware Clinical Data


SurfConv: Bridging 3D and 2D Convolution for RGBD Images


SurfFlow: high-throughput surface energy calculations for arbitrary crystals


SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators


SurfNet: Generating 3D shape surfaces using deep residual networks


SurfPatch: Enabling Patch Matching for Exploratory Stream Surface Visualization


Surface Algebras I: Dessins D'enfants, Surface Algebras, and Dessin Orders


Surface Coil Intensity Correction for MRI


Surface Densities Prewet a Near-Critical Membrane


Surface Extraction from Neural Unsigned Distance Fields


Surface Forces on a Deforming Ellipsoid in Shear Flow


Surface Movement Method for Linear Programming


Surface Normal Clustering for Implicit Representation of Manhattan Scenes


Surface Normal Estimation of Tilted Images via Spatial Rectifier


Surface Reconstruction from 3D Line Segments


Surface Reconstruction from Point Clouds by Learning Predictive Context Priors


Surface Similarity Parameter: A New Machine Learning Loss Metric for Oscillatory Spatio-Temporal Data


Surface Simplification using Intrinsic Error Metrics


Surface Wave-Aerodynamic Roughness Length Model for Air-Sea Interactions


Surface finite element approximation of spherical Whittle--Matérn Gaussian random fields


Surface heating steers planetary-scale ocean circulation


Surface particle motions excited by a low velocity normal impact into a granular medium


Surface tension-driven boundary growth in tumour spheroids


Surface trap with adjustable ion couplings for scalable and parallel gates


Surface-Based Retrieval Reduces Perplexity of Retrieval-Augmented Language Models


Surface-Centric Modeling for High-Fidelity Generalizable Neural Surface Reconstruction


Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation


Surface-guided computing to analyze subcellular morphology and membrane-associated signals in 3D


SurfaceAI: Automated creation of cohesive road surface quality datasets based on open street-level imagery


SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-view Stereopsis


SurfaceNet: Adversarial SVBRDF Estimation from a Single Image


SurfelMeshing: Online Surfel-Based Mesh Reconstruction


SurfelWarp: Efficient Non-Volumetric Single View Dynamic Reconstruction


Surfing on turbulence: a strategy for planktonic navigation


Surfing: Iterative optimization over incrementally trained deep networks


Surg-3M: A Dataset and Foundation Model for Perception in Surgical Settings


SurgBox: Agent-Driven Operating Room Sandbox with Surgery Copilot


SurgPLAN++: Universal Surgical Phase Localization Network for Online and Offline Inference


SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery


SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting


SurgTrack: CAD-Free 3D Tracking of Real-world Surgical Instruments


SurgeMOD: Translating image-space tissue motions into vision-based surgical forces


Surgeon Style Fingerprinting and Privacy Risk Quantification via Discrete Diffusion Models in a Vision-Language-Action Framework


SurgeonAssist-Net: Towards Context-Aware Head-Mounted Display-Based Augmented Reality for Surgical Guidance


SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking


SurgicaL-CD: Generating Surgical Images via Unpaired Image Translation with Latent Consistency Diffusion Models


Surgical Feature-Space Decomposition of LLMs: Why, When and How?


Surgical Fine-Tuning Improves Adaptation to Distribution Shifts


Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots


Surgical Phase and Instrument Recognition: How to identify appropriate Dataset Splits


Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning


Surgical Scene Segmentation by Transformer With Asymmetric Feature Enhancement


Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resections with Pringle Maneuver


Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety


Surgical fine-tuning for Grape Bunch Segmentation under Visual Domain Shifts


Surgical-DINO: Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery


Surgical-DeSAM: Decoupling SAM for Instrument Segmentation in Robotic Surgery


Surgical-VQLA++: Adversarial Contrastive Learning for Calibrated Robust Visual Question-Localized Answering in Robotic Surgery


SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery


SurgicalGaussian: Deformable 3D Gaussians for High-Fidelity Surgical Scene Reconstruction


SurgicalPart-SAM: Part-to-Whole Collaborative Prompting for Surgical Instrument Segmentation


Suri: Multi-constraint Instruction Following for Long-form Text Generation


Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification


Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning


Surpassing the loss-noise robustness trade-off in quantum key distribution


Surprisal-Triggered Conditional Computation with Neural Networks


Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement Learning


SurpriseNet: Melody Harmonization Conditioning on User-controlled Surprise Contours


Surprises in a classic boundary-layer problem


Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency


Surprisingly Strong Performance Prediction with Neural Graph Features


Surreal-GAN:Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns


Surrealistic-like Image Generation with Vision-Language Models


Surrogate Assisted Generation of Human-Robot Interaction Scenarios


Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study


Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning


Surrogate Model for Shallow Water Equations Solvers with Deep Learning


Surrogate Modeling and Control of Medical Digital Twins


Surrogate Modeling for Fluid Flows Based on Physics-Constrained Deep Learning Without Simulation Data


Surrogate Modeling of 3D Rayleigh-Benard Convection with Equivariant Autoencoders


Surrogate Models for Optimization of Dynamical Systems


Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks


Surrogate Neural Networks Local Stability for Aircraft Predictive Maintenance


Surrogate Signals from Format and Length: Reinforcement Learning for Solving Mathematical Problems without Ground Truth Answers


Surrogate model solver for impurity-induced superconducting subgap states


Surrogate modeling of Cellular-Potts Agent-Based Models as a segmentation task using the U-Net neural network architecture


Surrogate modeling of resonant behavior in scattering problems through adaptive rational approximation and sketching


Surrogate models for diffusion on graphs via sparse polynomials


Surrogate models for lightcurves and photosphere properties of Type II supernovae


Surrogate models for vibrational entropy based on a spatial decomposition


Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science


Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks


Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection


Surrogate-Assisted Reference Vector Adaptation to Various Pareto Front Shapes for Many-Objective Bayesian Optimization


Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization


Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems


Surrogate-based cross-correlation for particle image velocimetry


Surrogate-based global sensitivity analysis with statistical guarantees via floodgate


Surrogate-based optimization for variational quantum algorithms


SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation


SurroundNet: Towards Effective Low-Light Image Enhancement


SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving


SurvBETA: Ensemble-Based Survival Models Using Beran Estimators and Several Attention Mechanisms


SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the Survival Models


SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator


SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data


SurvLIMEpy: A Python package implementing SurvLIME


SurvLatent ODE : A Neural ODE based time-to-event model with competing risks for longitudinal data improves cancer-associated Venous Thromboembolism (VTE) prediction


SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast


SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks


SurvRegCensCov: Weibull Regression for a Right-Censored Endpoint with a Censored Covariate


SurvSHAP(t): Time-dependent explanations of machine learning survival models


SurvTRACE: Transformers for Survival Analysis with Competing Events


SurvTimeSurvival: Survival Analysis On The Patient With Multiple Visits/Records


SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis


Surveillance-Evasion games under uncertainty


Survey Data and Human Computation for Improved Flu Tracking


Survey Equivalence: A Procedure for Measuring Classifier Accuracy Against Human Labels


Survey calibration for causal inference: a simple method to balance covariate distributions


Survey of Active Learning Hyperparameters: Insights from a Large-Scale Experimental Grid


Survey of Aspect-based Sentiment Analysis Datasets


Survey of Cultural Awareness in Language Models: Text and Beyond


Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data


Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends


Survey of Vacuum UltraViolet experimental data in relation to radiation characterization for Earth high-speed re-entry


Survey of a Class of Iterative Row-Action Methods: The Kaczmarz Method


Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges


Survey on Deep Face Restoration: From Non-blind to Blind and Beyond


Survey on English Entity Linking on Wikidata


Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity


Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing


Survey: Image Mixing and Deleting for Data Augmentation


SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing


Surveying Professional Writers on AI: Limitations, Expectations, and Fears


Surveying the space of descriptions of a composite system with machine learning


Survival Analysis Using a 5-Step Stratified Testing and Amalgamation Routine in Randomized Clinical Trials


Survival Analysis as Imprecise Classification with Trainable Kernels


Survival Analysis via Ordinary Differential Equations


Survival Analysis with Machine Learning for Predicting Li-ion Battery Remaining Useful Life


Survival Estimation for Missing not at Random Censoring Indicators based on Copula Models


Survival Games: Human-LLM Strategic Showdowns under Severe Resource Scarcity


Survival analysis for user disengagement prediction: question-and-answering communities' case


Survival analysis under non-proportional hazards: investigating non-inferiority or equivalence in time-to-event data


Survival in Branching Cellular Populations


Survival of the Fittest Representation: A Case Study with Modular Addition


Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning


Survival prediction using ensemble tumor segmentation and transfer learning


Survival, extinction, and interface stability in a two--phase moving boundary model of biological invasion


SurvivalGAN: Generating Time-to-Event Data for Survival Analysis


Surviving The Barren Plateau in Variational Quantum Circuits with Bayesian Learning Initialization


Survivor average causal effects for continuous time: a principal stratification approach to causal inference with semicompeting risks


Susceptibility of Adversarial Attack on Medical Image Segmentation Models


Susceptibility to Image Resolution in Face Recognition and Trainings Strategies


Sushi Dish - Object detection and classification from real images


Suspected Undeclared Use of Artificial Intelligence in the Academic Literature: An Analysis of the Academ-AI Dataset


Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4


Suspicious News Detection Using Micro Blog Text


SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning


Sustainability assessment of Low Earth Orbit (LEO) satellite broadband megaconstellations


Sustainability of Stack Exchange Q\&A communities: the role of trust


Sustainable Concrete via Bayesian Optimization


Sustainable Machine Learning Retraining: Optimizing Energy Efficiency Without Compromising Accuracy


Sustainable Online Reinforcement Learning for Auto-bidding


Sustainable Packaging of Quantum Chemistry Software with the Nix Package Manager


Sustainable Recipes. A Food Recipe Sourcing and Recommendation System to Minimize Food Miles


Sustainable broadcasting in Blockchain Networks with Reinforcement Learning


Sustainable transparency in Recommender Systems: Bayesian Ranking of Images for Explainability


Sustaining Fairness via Incremental Learning


Suum Cuique: Studying Bias in Taboo Detection with a Community Perspective


Svar: A Tiny C++ Header Brings Unified Interface for Multiple programming Languages


SwGridNet: A Deep Convolutional Neural Network based on Grid Topology for Image Classification


SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings


SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning


Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation


Swap Path Network for Robust Person Search Pre-training


SwapAnyone: Consistent and Realistic Video Synthesis for Swapping Any Person into Any Video


SwapTransformer: highway overtaking tactical planner model via imitation learning on OSHA dataset


Swapped Logit Distillation via Bi-level Teacher Alignment


SwarMer: A Decentralized Localization Framework for Flying Light Specks


Swarm Algorithms for Dynamic Task Allocation in Unknown Environments


Swarm Characteristics Classification Using Neural Networks


Swarm Modelling with Dynamic Mode Decomposition


Swarm Reinforcement Learning For Adaptive Mesh Refinement


Swarm-Enabling Technology for Multi-Robot Systems


Swarm-Net: Firmware Attestation in IoT Swarms using Graph Neural Networks and Volatile Memory


Swarm-SLAM : Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot Systems


SwarmBrain: Embodied agent for real-time strategy game StarCraft II via large language models


SwarmLab: a Matlab Drone Swarm Simulator


SwarmSearch: Decentralized Search Engine with Self-Funding Economy


SwarmUS: An open hardware and software on-board platform for swarm robotics development


SweCTRL-Mini: a data-transparent Transformer-based large language model for controllable text generation in Swedish


SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use


SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D


SweetRS: Dataset for a recommender systems of sweets


Sweeter than SUITE: Supermartingale Stratified Union-Intersection Tests of Elections


Sweetwater: An interpretable and adaptive autoencoder for efficient tissue deconvolution