Simple trees in complex forests: Growing Take The Best by Approximate Bayesian Computation


Simple yet effective: a comparative study of statistical models for yearly hurricane forecasting


Simple yet efficient real-time pose-based action recognition


Simple, Effective and General: A New Backbone for Cross-view Image Geo-localization


Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models


Simple, Fast and Lightweight Parallel Wavelet Tree Construction


Simple, Fast, and Flexible Framework for Matrix Completion with Infinite Width Neural Networks


Simple, Good, Fast: Self-Supervised World Models Free of Baggage


Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora


Simple, Scalable, and Stable Variational Deep Clustering


SimpleChrome: Encoding of Combinatorial Effects for Predicting Gene Expression


SimpleClick: Interactive Image Segmentation with Simple Vision Transformers


SimpleDG: Simple Domain Generalization Baseline without Bells and Whistles


SimpleDepthPose: Fast and Reliable Human Pose Estimation with RGBD-Images


SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement


SimpleFusion: A Simple Fusion Framework for Infrared and Visible Images


SimpleMind adds thinking to deep neural networks


SimpleNet: A Simple Network for Image Anomaly Detection and Localization


SimplePIM: A Software Framework for Productive and Efficient Processing-in-Memory


SimpleSets: Capturing Categorical Point Patterns with Simple Shapes


SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning


SimpleTensor -- a user-friendly Mathematica package for elementary tensor and differential-geometric calculations


SimpleX: A Simple and Strong Baseline for Collaborative Filtering


Simpler Certified Radius Maximization by Propagating Covariances


Simpler Context-Dependent Logical Forms via Model Projections


Simpler Gradient Methods for Blind Super-Resolution with Lower Iteration Complexity


Simpler becomes Harder: Do LLMs Exhibit a Coherent Behavior on Simplified Corpora?


Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer


Simpler is Better: off-the-shelf Continual Learning Through Pretrained Backbones


Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction


Simpler, Better, Faster, Stronger: Revisiting a Successful Reduction Rule for Dominating Set


Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE


Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions


Simplex path integral and simplex renormalization group for high-order interactions


Simplicial 2-Complex Convolutional Neural Nets


Simplicial Complex based Point Correspondence between Images warped onto Manifolds


Simplicial Hausdorff Distance for Topological Data Analysis


Simplicial Representation Learning with Neural $k$-Forms


Simplicial approximation to CW complexes in practice


Simplicial cascades are orchestrated by the multidimensional geometry of neuronal complexes


Simplicial maps between spheres and Davis' manifolds with positive simplicial volume


Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions


Simplicity Level Estimate (SLE): A Learned Reference-Less Metric for Sentence Simplification


Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning


Simplicity in Complexity : Explaining Visual Complexity using Deep Segmentation Models


Simplification of General Mixed Boolean-Arithmetic Expressions: GAMBA


Simplification of Indoor Space Footprints


Simplifications are Absolutists: How Simplified Language Reduces Word Sense Awareness in LLM-Generated Definitions


Simplified Algorithms for Order-Based Core Maintenance


Simplified Gating in Long Short-term Memory (LSTM) Recurrent Neural Networks


Simplified Learning of CAD Features Leveraging a Deep Residual Autoencoder


Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series Forecasting


Simplified and Generalized Masked Diffusion for Discrete Data


Simplified and Secure MCP Gateways for Enterprise AI Integration


Simplified and Unified Analysis of Various Learning Problems by Reduction to Multiple-Instance Learning


Simplified models of diffusion in radially-symmetric geometries


Simplified, Physically Motivated, and Universally Applicable Range-Separation Tuning


Simplifier: A New Tool for Boolean Circuit Simplification


Simplifying Clustering with Graph Neural Networks


Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice


Simplifying Content-Based Neural News Recommendation: On User Modeling and Training Objectives


Simplifying Deep Reinforcement Learning via Self-Supervision


Simplifying Deep Temporal Difference Learning


Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints


Simplifying Low-Light Image Enhancement Networks with Relative Loss Functions


Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning


Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks


Simplifying Neural Network Training Under Class Imbalance


Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation


Simplifying Open-Set Video Domain Adaptation with Contrastive Learning


Simplifying Random Forests' Probabilistic Forecasts


Simplifying Scholarly Abstracts for Accessible Digital Libraries


Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insights


Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs


Simplifying and Characterizing DAGs and Phylogenetic Networks via Least Common Ancestor Constraints


Simplifying and Understanding State Space Models with Diagonal Linear RNNs


Simplifying modular lattices by removing doubly irreducible elements


Simplifying small area estimation with rFIA: a demonstration of tools and techniques


Simplifying the Theory on Over-Smoothing


Simplifying the explanation of deep neural networks with sufficient and necessary feature-sets: case of text classification


Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection


Simply Logical -- Intelligent Reasoning by Example (Fully Interactive Online Edition)


SimplyRetrieve: A Private and Lightweight Retrieval-Centric Generative AI Tool


Sims: An Interactive Tool for Geospatial Matching and Clustering


SimuDICE: Offline Policy Optimization Through World Model Updates and DICE Estimation


SimuQ: A Framework for Programming Quantum Hamiltonian Simulation with Analog Compilation


SimuScope: Realistic Endoscopic Synthetic Dataset Generation through Surgical Simulation and Diffusion Models


Simul-Whisper: Attention-Guided Streaming Whisper with Truncation Detection


Simulate Any Radar: Attribute-Controllable Radar Simulation via Waveform Parameter Embedding


Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models


Simulated Annealing in Early Layers Leads to Better Generalization


Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets


Simulated catalogs and maps of radio galaxies at millimeter wavelengths in Websky


Simulated redistricting plans for the analysis and evaluation of redistricting in the United States


Simulating Application Behavior for Network Monitoring and Security


Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties with Deep Learning Multi-Member and Stochastic Parameterizations


Simulating Bandit Learning from User Feedback for Extractive Question Answering


Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification


Simulating Brown Dwarf Observations for Various Mass Functions, Birthrates, and Low-mass Cutoffs


Simulating Bulk Gap in Chiral Projected Entangled-Pair States


Simulating Diffusion Bridges with Score Matching


Simulating Dual-Pixel Images From Ray Tracing For Depth Estimation


Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks


Simulating FRB Morphologies and Coherent Phase Correlation Signatures from Multi-Plane Astrophysical Lensing


Simulating Family Conversations using LLMs: Demonstration of Parenting Styles


Simulating Fluids in Real-World Still Images


Simulating Glueball Production in $N_f = 0$ QCD


Simulating Gravitational Microlensing Events by TESS: Predictions on Statistics and Properties


Simulating Heavy Neutral Leptons with General Couplings at Collider and Fixed Target Experiments


Simulating Hydrogen-poor Interaction-Powered Supernovae with CHIPS


Simulating Ising and Potts models at critical and cold temperatures using auxiliary Gaussian variables


Simulating Majorana zero modes on a noisy quantum processor


Simulating Non-Markovian Quantum Dynamics on NISQ Computers Using the Hierarchical Equations of Motion


Simulating Opinion Dynamics with Networks of LLM-based Agents


Simulating Persuasive Dialogues on Meat Reduction with Generative Agents


Simulating Prosocial Behavior and Social Contagion in LLM Agents under Institutional Interventions


Simulating Quantum Many-Body States with Neural-Network Exponential Ansatz


Simulating Road Spray Effects in Automotive Lidar Sensor Models


Simulating Rumor Spreading in Social Networks using LLM Agents


Simulating SIR processes on networks using weighted shortest paths


Simulating SQL Injection Vulnerability Exploitation Using Q-Learning Reinforcement Learning Agents


Simulating Spreading of Multiple Interacting Processes in Complex Networks


Simulating Tabular Datasets through LLMs to Rapidly Explore Hypotheses about Real-World Entities


Simulating Task-Oriented Dialogues with State Transition Graphs and Large Language Models


Simulating Tracking Data to Advance Sports Analytics Research


Simulating Training Data Leakage in Multiple-Choice Benchmarks for LLM Evaluation


Simulating Unknown Target Models for Query-Efficient Black-box Attacks


Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems


Simulating Users in Interactive Web Table Retrieval


Simulating a full-sky high resolution Galactic synchrotron spectral index map using neural networks


Simulating a pulsed power-driven plasma with ideal MHD


Simulating analogue film damage to analyse and improve artefact restoration on high-resolution scans


Simulating and interpreting deep JWST/NIRSpec observations in the Hubble Ultra Deep Field


Simulating and visualizing COVID-19 contact tracing with Corona-Warn-App for increased understanding of its privacy-preserving design


Simulating collisions of thick nuclei in the color glass condensate framework


Simulating conditioned diffusions on manifolds


Simulating continuous-space systems with quantum-classical wave functions


Simulating cosmic structure formation with the GADGET-4 code


Simulating flow-induced reconfiguration by coupling corotational plate finite elements with a simplified pressure drag


Simulating high-time resolution radio-telescope observations


Simulating image coaddition with the Nancy Grace Roman Space Telescope: III. Software improvements and new linear algebra strategies


Simulating images of radio galaxies with diffusion models


Simulating large quantum circuits on a small quantum computer


Simulating longitudinal data from marginal structural models using the additive hazard model


Simulating open quantum systems using noise models and NISQ devices with error mitigation


Simulating quantum circuits using tree tensor networks


Simulating quantum circuits with ZX-calculus reduced stabiliser decompositions


Simulating quantum emitters in arbitrary photonic environments using FDTD: beyond the semi-classical regime


Simulating quantum many-body dynamics on a current digital quantum computer


Simulating quantum repeater strategies for multiple satellites


Simulating room transfer functions between transducers mounted on audio devices using a modified image source method


Simulating single-photon detector array sensors for depth imaging


Simulating spectroscopy experiments with a superconducting quantum computer


Simulating spin dynamics with quantum computers


Simulating systematic bias in attributed social networks and its effect on rankings of minority nodes


Simulating the Action Principle in Optics


Simulating the Air Quality Impact of Prescribed Fires Using Graph Neural Network-Based PM$_{2.5}$ Forecasts


Simulating the DNA String Graph in Succinct Space


Simulating the Galactic Multi-messenger Emissions with HERMES


Simulating the Real World: A Unified Survey of Multimodal Generative Models


Simulating the Schwinger Model with a Regularized Variational Quantum Imaginary Time Evolution


Simulating the Spread of Epidemics in China on the Multi-layer Transportation Network: Beyond the Coronavirus in Wuhan


Simulating the Study of Exoplanets Using Photonic Spectrographs


Simulating the Sycamore quantum supremacy circuits


Simulating the neutrino flux from the Spallation Neutron Source for the COHERENT experiment


Simulating the social influence in transport mode choices


Simulating the two-dimensional $t-J$ model at finite doping with neural quantum states


Simulating toponium formation signals at the LHC


Simulating urban dynamics and international governance of transportation infrastructure projects


Simulating, Visualizing and Playing with de Sitter and anti de Sitter spacetime


Simulation Based Control Architecture Using Webots and Simulink


Simulation Framework for Mobile Robots in Planetary-Like Environments


Simulation Methodology for Electron Transfer in CMOS Quantum Dots


Simulation Pipeline for Traffic Evacuation in Urban Areas and Emergency Traffic Management Policy Improvements through Case Studies


Simulation Streams: A Programming Paradigm for Controlling Large Language Models and Building Complex Systems with Generative AI


Simulation and Augmentation of Social Networks for Building Deep Learning Models


Simulation and Control of Deformable Autonomous Airships in Turbulent Wind


Simulation and Harmonic Analysis of k-Space Readout (SHAKER)


Simulation and estimation of a point-process market-model with a matching engine


Simulation and estimation of an agent-based market-model with a matching engine


Simulation and inference algorithms for stochastic biochemical reaction networks: from basic concepts to state-of-the-art


Simulation comparisons between Bayesian and de-biased estimators in low-rank matrix completion


Simulation of IBM's kicked Ising experiment with Projected Entangled Pair Operator


Simulation of Lennard-Jones Potential on a Quantum Computer


Simulation of Nanorobots with Artificial Intelligence and Reinforcement Learning for Advanced Cancer Cell Detection and Tracking


Simulation of Non-Ordinary Consciousness


Simulation of Pump-Push Molecular Dynamics in the Heptazine-H2O Complex


Simulation of Reflected Brownian motion on two dimensional wedges


Simulation of Social Media-Driven Bubble Formation in Financial Markets using an Agent-Based Model with Hierarchical Influence Network


Simulation of Vision-based Tactile Sensors using Physics based Rendering


Simulation of X-ray diffraction profiles for bent anisotropic crystals


Simulation of robot swarms for learning communication-aware coordination


Simulation of the IEEE 1588 Precision Time Protocol in OMNeT++


Simulation of the drawdown and its duration in Lévy models via stick-breaking Gaussian approximation


Simulation of the impact of people mobility, vaccination rate, and virus variants on the evolution of Covid-19 outbreak


Simulation of thermal conduction by asymmetric dark matter in realistic stars and planets


Simulation platform for pattern recognition based on reservoir computing with memristor networks


Simulation-Based Calibration Checking for Bayesian Computation: The Choice of Test Quantities Shapes Sensitivity


Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour


Simulation-Based Decision Making in the NFL using NFLSimulatoR


Simulation-Based Inference with Approximately Correct Parameters via Maximum Entropy


Simulation-Based Inference with Neural Posterior Estimation applied to X-ray spectral fitting: Demonstration of working principles down to the Poisson regime


Simulation-Based Prior Knowledge Elicitation for Parametric Bayesian Models


Simulation-Driven Balancing of Competitive Game Levels with Reinforcement Learning


Simulation-Free Determination of Microstructure Representative Volume Element Size via Fisher Scores


Simulation-Free Training of Neural ODEs on Paired Data


Simulation-Guided Approximate Logic Synthesis Under the Maximum Error Constraint


Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data


Simulation-assisted learning of open quantum systems


Simulation-based Analysis Of Highway Trajectory Planning Using High-Order Polynomial For Highly Automated Driving Function


Simulation-based Bayesian Inference from Privacy Protected Data


Simulation-based Bayesian predictive probability of success for interim monitoring of clinical trials with competing event data: two case studies


Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments


Simulation-based Evaluation of Indoor Positioning Systems in Connected Aircraft Cabins


Simulation-based Inference for Exoplanet Atmospheric Retrieval: Insights from winning the Ariel Data Challenge 2023 using Normalizing Flows


Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation


Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware


Simulation-based Lidar Super-resolution for Ground Vehicles


Simulation-based Testing of Simulink Models with Test Sequence and Test Assessment Blocks


Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology


Simulation-based inference in the search for CP violation in leptonic WH production


Simulation-based inference of galaxy properties from JWST pixels


Simulation-based, Finite-sample Inference for Privatized Data


Simulation-guided Beam Search for Neural Combinatorial Optimization


Simulation-trained conditional normalizing flows for likelihood approximation: a case study in stress regulation kinetics in yeast


Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification


Simulations of astrometric planet detection in Alpha Centauri by intensity interferometry


Simulations of idealised 3D atmospheric flows on terrestrial planets using LFRic-Atmosphere


Simulations of laser-driven strong-field QED with Ptarmigan: Resolving wavelength-scale interference and $γ$-ray polarization


Simulations of the accreted stellar halos of low-mass field galaxies


Simulations of the dynamics of quantum impurity problems with matrix product states


Simulator-based explanation and debugging of hazard-triggering events in DNN-based safety-critical systems


Simulator-free Solution of High-Dimensional Stochastic Elliptic Partial Differential Equations using Deep Neural Networks


Simultaneous Acquisition of High Quality RGB Image and Polarization Information using a Sparse Polarization Sensor


Simultaneous Action Recognition and Human Whole-Body Motion and Dynamics Prediction from Wearable Sensors


Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-variate fMRI Data


Simultaneous Coherent Structure Coloring facilitates interpretable clustering of scientific data by amplifying dissimilarity


Simultaneous Confidence Corridors for neuroimaging data analysis: applications to Alzheimer's Disease diagnosis


Simultaneous Conformal Prediction of Missing Outcomes with Propensity Score $ε$-Discretization


Simultaneous Contact Location and Object Pose Estimation Using Proprioception and Tactile Feedback


Simultaneous Decision Making for Stochastic Multi-echelon Inventory Optimization with Deep Neural Networks as Decision Makers


Simultaneous Differential Network Analysis and Classification for High-dimensional Matrix-variate Data, with application to Brain Connectivity Alteration Detection and fMRI-guided Medical Diagnoses of Alzheimer's Disease


Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering


Simultaneous Discovery of Quantum Error Correction Codes and Encoders with a Noise-Aware Reinforcement Learning Agent


Simultaneous Double Q-learning with Conservative Advantage Learning for Actor-Critic Methods


Simultaneous Face Hallucination and Translation for Thermal to Visible Face Verification using Axial-GAN


Simultaneous Fidelity and Regularization Learning for Image Restoration


Simultaneous Identification and Denoising of Dynamical Systems


Simultaneous Imaging of Widely Differing Particle Concentrations in MPI: Problem Statement and Algorithmic Proposal for Improvement


Simultaneous Inference for Multiple Proportions: A Multivariate Beta-Binomial Model


Simultaneous Inference in Multiple Matrix-Variate Graphs for High-Dimensional Neural Recordings


Simultaneous Many-Row Activation in Off-the-Shelf DRAM Chips: Experimental Characterization and Analysis


Simultaneous Matrix Orderings for Graph Collections


Simultaneous Multi-Slice MRI using Cartesian and Radial FLASH and Regularized Nonlinear Inversion: SMS-NLINV


Simultaneous Multi-View Camera Pose Estimation and Object Tracking with Square Planar Markers


Simultaneous Music Separation and Generation Using Multi-Track Latent Diffusion Models


Simultaneous Navigation and Construction Benchmarking Environments


Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning


Simultaneous Non-Gaussian Component Analysis (SING) for Data Integration in Neuroimaging


Simultaneous Policy Learning and Latent State Inference for Imitating Driver Behavior


Simultaneous Prediction Intervals for Patient-Specific Survival Curves


Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery


Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation


Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting


Simultaneous Speech Translation for Live Subtitling: from Delay to Display


Simultaneous Surface Reflectance and Fluorescence Spectra Estimation


Simultaneous Task Allocation and Planning for Multi-Robots under Hierarchical Temporal Logic Specifications


Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model


Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training


Simultaneous Weight and Architecture Optimization for Neural Networks


Simultaneous activity and attenuation estimation in TOF-PET with TV-constrained nonconvex optimization


Simultaneous and Meshfree Topology Optimization with Physics-informed Gaussian Processes


Simultaneous estimation of the effective reproduction number and the time series of daily infections: Application to Covid-19


Simultaneous false discovery proportion bounds via knockoffs and closed testing


Simultaneous global and local clustering in multiplex networks with covariate information


Simultaneous identification of models and parameters of scientific simulators


Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC)


Simultaneous inference for generalized linear models with unmeasured confounders


Simultaneous optical phase and loss estimation revisited: measurement and probe incompatibility


Simultaneous prediction and community detection for networks with application to neuroimaging


Simultaneous prediction of hand gestures, handedness, and hand keypoints using thermal images


Simultaneous source separation of unknown numbers of single-channel underwater acoustic signals based on deep neural networks with separator-decoder structure


Simultaneous upper and lower bounds of American-style option prices with hedging via neural networks


Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits


Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks


Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression


Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction


Simultaneously Transmitting and Reflecting Surface (STARS) for Terahertz Communications


Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape


SinDDM: A Single Image Denoising Diffusion Model


SinDiffusion: Learning a Diffusion Model from a Single Natural Image


SinFusion: Training Diffusion Models on a Single Image or Video


SinMPI: Novel View Synthesis from a Single Image with Expanded Multiplane Images


SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image


SinSR: Diffusion-Based Image Super-Resolution in a Single Step


SinTra: Learning an inspiration model from a single multi-track music segment


Sinc Kolmogorov-Arnold Network and Its Applications on Physics-informed Neural Networks


Sinc-collocation methods with consistent collocation points for Fredholm integral equations of the second kind


Sine Wave Normalization for Deep Learning-Based Tumor Segmentation in CT/PET Imaging


SineKAN: Kolmogorov-Arnold Networks Using Sinusoidal Activation Functions


Sines, Transient, Noise Neural Modeling of Piano Notes


SingFake: Singing Voice Deepfake Detection


Singapore Soundscape Site Selection Survey (S5): Identification of Characteristic Soundscapes of Singapore via Weighted k-means Clustering


Singer Identity Representation Learning using Self-Supervised Techniques


Singing Beat Tracking With Self-supervised Front-end and Linear Transformers


Singing Language Identification using a Deep Phonotactic Approach


Singing Voice Graph Modeling for SingFake Detection


Single Camera Training for Person Re-identification


Single Channel Speech Enhancement Using U-Net Spiking Neural Networks


Single Deep Counterfactual Regret Minimization


Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning


Single Domain Generalization for Crowd Counting


Single Domain Generalization for Few-Shot Counting via Universal Representation Matching


Single Episode Policy Transfer in Reinforcement Learning


Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and A New Physics-Inspired Transformer Model


Single Frame Semantic Segmentation Using Multi-Modal Spherical Images


Single Image 3D Hand Reconstruction with Mesh Convolutions


Single Image Backdoor Inversion via Robust Smoothed Classifiers


Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions


Single Image Dehazing with An Independent Detail-Recovery Network


Single Image Depth Prediction with Wavelet Decomposition


Single Image Deraining: A Comprehensive Benchmark Analysis


Single Image Haze Removal Using Conditional Wasserstein Generative Adversarial Networks


Single Image Human Proxemics Estimation for Visual Social Distancing


Single Image Iterative Subject-driven Generation and Editing


Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements


Single Image Reflection Separation via Component Synergy


Single Image Super-Resolution via CNN Architectures and TV-TV Minimization


Single Image Super-Resolution via a Dual Interactive Implicit Neural Network


Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception Module


Single MR Image Super-Resolution using Generative Adversarial Network


Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification


Single Shot Active Learning using Pseudo Annotators


Single Shot Self-Reliant Scene Text Spotter by Decoupled yet Collaborative Detection and Recognition


Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training


Single Stage Class Agnostic Common Object Detection: A Simple Baseline


Single Stage Virtual Try-on via Deformable Attention Flows


Single Transit Candidates from K2: Detection and Period Estimation


Single View Garment Reconstruction Using Diffusion Mapping Via Pattern Coordinates


Single and Few-step Diffusion for Generative Speech Enhancement


Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-Turbo


Single camera pose estimation using Bayesian filtering and Kinect motion priors


Single cell resolution 3D imaging and segmentation within intact live tissues


Single image deep defocus estimation and its applications


Single image dehazing for a variety of haze scenarios using back projected pyramid network


Single image super-resolution based on trainable feature matching attention network


Single point positioning using full and fractional pseudorange measurements from GPS and BDS


Single replica spin-glass phase detection using field variation and machine learning


Single- and Multi-level Network Sparsification by Algebraic Distance


Single- and Multiple-Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes


Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language


Single-Agent Planning in a Multi-Agent System: A Unified Framework for Type-Based Planners


Single-Antenna Jammers in MIMO-OFDM Can Resemble Multi-Antenna Jammers


Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions


Single-Cell Multimodal Prediction via Transformers


Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks


Single-Class Target-Specific Attack against Interpretable Deep Learning Systems


Single-Forward-Step Projective Splitting: Exploiting Cocoercivity


Single-Frame based Deep View Synchronization for Unsynchronized Multi-Camera Surveillance


Single-Image HDR Reconstruction Assisted Ghost Suppression and Detail Preservation Network for Multi-Exposure HDR Imaging


Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline


Single-Image HDR Reconstruction by Multi-Exposure Generation


Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding


Single-Image SVBRDF Capture with a Rendering-Aware Deep Network


Single-Image Shadow Removal Using Deep Learning: A Comprehensive Survey


Single-Level Differentiable Contact Simulation


Single-Microphone-Based Sound Source Localization for Mobile Robots in Reverberant Environments


Single-Model Attribution of Generative Models Through Final-Layer Inversion


Single-Model Uncertainties for Deep Learning


Single-Molecule Protein Identification by Sub-Nanopore Sensors


Single-Molecule Structure and Topology of Kinetoplast DNA Networks


Single-Node Attacks for Fooling Graph Neural Networks


Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph


Single-Pass Document Scanning for Question Answering


Single-Photon Depth Imaging Using a Union-of-Subspaces Model


Single-Pixel Compressive Imaging in Shift-Invariant Spaces via Exact Wavelet Frames


Single-Qubit Fidelity Assessment of Quantum Annealing Hardware


Single-Queue Decoding for Neural Machine Translation


Single-Sentence Reader: A Novel Approach for Addressing Answer Position Bias


Single-Shell NODDI Using Dictionary Learner Estimated Isotropic Volume Fraction


Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas


Single-Shot Learning of Stable Dynamical Systems for Long-Horizon Manipulation Tasks


Single-Shot Motion Completion with Transformer


Single-Side Domain Generalization for Face Anti-Spoofing


Single-Source Localization as an Eigenvalue Problem


Single-Source Regular Path Querying in Terms of Linear Algebra


Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction


Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization


Single-Stage Semantic Segmentation from Image Labels


Single-Stream Multi-Level Alignment for Vision-Language Pretraining


Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation


Single-User Injection for Invisible Shilling Attack against Recommender Systems


Single-View Graph Contrastive Learning with Soft Neighborhood Awareness


Single-View View Synthesis with Multiplane Images


Single-ancilla ground state preparation via Lindbladians


Single-board Device Individual Authentication based on Hardware Performance and Autoencoder Transformer Models


Single-cell Curriculum Learning-based Deep Graph Embedding Clustering


Single-cell Multi-view Clustering via Community Detection with Unknown Number of Clusters


Single-cell RNA-seq data imputation using Feature Propagation


Single-cell gene regulatory network analysis for mixed cell populations with applications to COVID-19 single cell data


Single-cell metabolic flux analysis reveals coexisting optimal sub-groups, cross-feeding, and mixotrophy in a cyanobacterial population


Single-channel electroencephalography decomposition by detector-atom network and its pre-trained model


Single-dataset Experts for Multi-dataset Question Answering


Single-exposure absorption imaging of ultracold atoms using deep learning


Single-index mixture cure model under monotonicity constraints


Single-level Adversarial Data Synthesis based on Neural Tangent Kernels


Single-loop methods for bilevel parameter learning in inverse imaging


Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles


Single-pass Nyström approximation in mixed precision


Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI


Single-phase deep learning in cortico-cortical networks


Single-pixel transmission matrix recovery via 2-photon fluorescence


Single-point spin Chern number in a supercell framework


Single-seed generation of Brownian paths and integrals for adaptive and high order SDE solvers


Single-shot Quantum Signal Processing Interferometry


Single-shot Tomography of Discrete Dynamic Objects


Single-shot preparation of hypergraph product codes via dimension jump


Single-stage Multi-human Parsing via Point Sets and Center-based Offsets


Single-stage gradient-based stellarator coil design: Optimization for near-axis quasi-symmetry


Single-stage intake gesture detection using CTC loss and extended prefix beam search


Single-stream CNN with Learnable Architecture for Multi-source Remote Sensing Data


Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations


Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation


SinglePointRNA, an user-friendly application implementing single cell RNA-seq analysis software


Singlet, Triplet and Pair Density Wave Superconductivity in the Doped Triangular-Lattice Moiré System


Singular Control of (Reflected) Brownian Motion: A Computational Method Suitable for Queueing Applications


Singular Euler-Maclaurin expansion on multidimensional lattices


Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning


Singular Value Representation: A New Graph Perspective On Neural Networks


Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement


Singular value decomposition and matrix reorderings in quantum information theory


SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model


Singularity Distance Computations for 3-RPR Manipulators Using Intrinsic Metrics


Singularity swap quadrature for nearly singular line integrals on closed curves in two dimensions


Singularity-aware motion planning for multi-axis additive manufacturing


Singularity-free Guiding Vector Field for Robot Navigation


Singularity-free cosmology from interactions in the dark sector


Sinhala Language Corpora and Stopwords from a Decade of Sri Lankan Facebook


Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq Approaches


Sinhala-English Parallel Word Dictionary Dataset


SinkSAM: A Monocular Depth-Guided SAM Framework for Automatic Sinkhole Segmentation


Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm


Sinkhorn Distance Minimization for Knowledge Distillation


Sinkhorn Distributionally Robust Optimization


Sinkhorn Divergence of Topological Signature Estimates for Time Series Classification


Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training


SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement


Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction


Sintel: A Machine Learning Framework to Extract Insights from Signals


Sinusoidal Flow: A Fast Invertible Autoregressive Flow


Sinusoidal Frequency Estimation by Gradient Descent


Sinusoidal Sensitivity Calculation for Line Segment Geometries


Sionnx: Automatic Unit Test Generator for ONNX Conformance


SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation


SirLLM: Streaming Infinite Retentive LLM


Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models


Siren: A Learning-Based Multi-Turn Attack Framework for Simulating Real-World Human Jailbreak Behaviors


SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning


Sirius: Visualization of Mixed Features as a Mutual Information Network Graph


Sister Help: Data Augmentation for Frame-Semantic Role Labeling


Sisu: Decentralized Trustless Bridge For Full Ethereum Node


Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions


SitPose: Real-Time Detection of Sitting Posture and Sedentary Behavior Using Ensemble Learning With Depth Sensor


Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes


Site-Specific Ground Motion Generative Model for Crustal Earthquakes in Japan Based on Generative Adversarial Networks


SiteFerret: beyond simple pocket identification in proteins


Situated Bayes -- Feminist and Pluriversal Perspectives on Bayesian Knowledge


Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation


Situated and Interactive Multimodal Conversations


SituatedGen: Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning


SituatedThinker: Grounding LLM Reasoning with Real-World through Situated Thinking


Situation Awareness for Driver-Centric Driving Style Adaptation


Situation and Behavior Understanding by Trope Detection on Films


Situational Awareness Matters in 3D Vision Language Reasoning


Situational Scene Graph for Structured Human-centric Situation Understanding


SituationalLLM: Proactive language models with scene awareness for dynamic, contextual task guidance


Six Attributes of Unhealthy Conversation


Six Dragons Fly Again: Reviving 15th-Century Korean Court Music with Transformers and Novel Encoding


Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models


Six-Point Method for Multi-Camera Systems with Reduced Solution Space


Six-dimensional sphere packing and linear programming


Size Should not Matter: Scale-invariant Stress Metrics


Size and depth of monotone neural networks: interpolation and approximation


Size and structures of disks around very low mass stars in the Taurus star-forming region


Size limits sensitivity in all kinetic schemes


Size-Invariant Graph Representations for Graph Classification Extrapolations


Size-adaptive Hypothesis Testing for Fairness


Size-and-Shape Space Gaussian Mixture Models for Structural Clustering of Molecular Dynamics Trajectories


Size-dependent lattice symmetry breaking determines the exciton fine structure of perovskite nanocrystals


Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection


SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks


Sizeless: Predicting the optimal size of serverless functions


SkCoder: A Sketch-based Approach for Automatic Code Generation


SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition


SkateboardAI: The Coolest Video Action Recognition for Skateboarding


Skateboarding stance and handedness: A brief analysis of relationship, proportions and influences


Skating-Mixer: Long-Term Sport Audio-Visual Modeling with MLPs


Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition


Skeena: Efficient and Consistent Cross-Engine Transactions


Skein module dimensions of mapping tori of the 2-torus


SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning


Skeletal Human Action Recognition using Hybrid Attention based Graph Convolutional Network


Skeletal Point Representations with Geometric Deep Learning


Skeleton Ground Truth Extraction: Methodology, Annotation Tool and Benchmarks


Skeleton Merger: an Unsupervised Aligned Keypoint Detector


Skeleton Prototype Contrastive Learning with Multi-Level Graph Relation Modeling for Unsupervised Person Re-Identification


Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures


Skeleton coupling: a novel interlayer mapping of community evolution in temporal networks


Skeleton-Based Action Recognition with Spatial-Structural Graph Convolution


Skeleton-Based Human Action Recognition with Noisy Labels


Skeleton-Contrastive 3D Action Representation Learning


Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition


Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs


Skeleton-Guided Diffusion Model for Accurate Foot X-ray Synthesis in Hallux Valgus Diagnosis


Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction


Skeleton-based Action Recognition via Adaptive Cross-Form Learning


Skeleton-based Action Recognition via Temporal-Channel Aggregation


Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-Schmidt Independence Criterion


Skeleton-based Group Activity Recognition via Spatial-Temporal Panoramic Graph


Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation


Skeleton-stabilized divergence-conforming B-spline discretizations for highly advective incompressible flow problems


Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory


Skeleton2Humanoid: Animating Simulated Characters for Physically-plausible Motion In-betweening


Skeleton2vec: A Self-supervised Learning Framework with Contextualized Target Representations for Skeleton Sequence


SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training


SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from RGB Images


SkeletonX: Data-Efficient Skeleton-based Action Recognition via Cross-sample Feature Aggregation


Skeletonization Quality Evaluation: Geometric Metrics for Point Cloud Analysis in Robotics


Skeletracks: automatic separation of overlapping fission tracks in apatite and muscovite using image processing


Skelite: Compact Neural Networks for Efficient Iterative Skeletonization


Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy


Skeptical binary inferences in multi-label problems with sets of probabilities


Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale


Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels


Sketch Input Method Editor: A Comprehensive Dataset and Methodology for Systematic Input Recognition


Sketch Less Face Image Retrieval: A New Challenge


Sketch and Customize: A Counterfactual Story Generator


Sketch and Refine: Towards Fast and Accurate Lane Detection


Sketch-Driven Regular Expression Generation from Natural Language and Examples


Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access


Sketch-and-Lift: Scalable Subsampled Semidefinite Program for $K$-means Clustering


Sketch-and-solve approaches to k-means clustering by semidefinite programming


Sketch-and-test: picture-centered research with p5.js assisted crowdsourcing


Sketch-guided Image Inpainting with Partial Discrete Diffusion Process


Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching


Sketch2Model: View-Aware 3D Modeling from Single Free-Hand Sketches


SketchBetween: Video-to-Video Synthesis for Sprite Animation via Sketches


SketchBodyNet: A Sketch-Driven Multi-faceted Decoder Network for 3D Human Reconstruction


SketchDreamer: Interactive Text-Augmented Creative Sketch Ideation


SketchFlex: Facilitating Spatial-Semantic Coherence in Text-to-Image Generation with Region-Based Sketches


SketchGNN: Semantic Sketch Segmentation with Graph Neural Networks


SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design


SketchINR: A First Look into Sketches as Implicit Neural Representations


SketchParse : Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep Networks


SketchSampler: Sketch-based 3D Reconstruction via View-dependent Depth Sampling


Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change Detection


Sketched RT3D: How to reconstruct billions of photons per second


Sketched Ridgeless Linear Regression: The Role of Downsampling


Sketching Image Gist: Human-Mimetic Hierarchical Scene Graph Generation


Sketching Linear Classifiers over Data Streams


Sketching With Your Voice: "Non-Phonorealistic" Rendering of Sounds via Vocal Imitation


Sketching and Streaming for Dictionary Compression


Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences


Sketching methods with small window guarantee using minimum decycling sets


Sketching stochastic valuation functions


Sketching the Expression: Flexible Rendering of Expressive Piano Performance with Self-Supervised Learning


Sketching the Future (STF): Applying Conditional Control Techniques to Text-to-Video Models


Sketching the Krylov Subspace: Faster Computation of the Entire Ridge Regularization Path


Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval


Sketchy Bounding-box Supervision for 3D Instance Segmentation


Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning


SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis


SketchySGD: Reliable Stochastic Optimization via Randomized Curvature Estimates


SketchyScene: Richly-Annotated Scene Sketches


Skew-Fit: State-Covering Self-Supervised Reinforcement Learning


Skew-Probabilistic Neural Networks for Learning from Imbalanced Data


Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation


SkiMap: An Efficient Mapping Framework for Robot Navigation


SkiNet, A Petri Net Generation Tool for the Verification of Skillset-based Autonomous Systems


SkiffOS: Minimal Cross-compiled Linux for Embedded Containers


Skill Check: Some Considerations on the Evaluation of Gamemastering Models for Role-playing Games


Skill Demand Forecasting Using Temporal Knowledge Graph Embeddings


Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations


Skill Expansion and Composition in Parameter Space


Skill Extraction from Job Postings using Weak Supervision


Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning


Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills


Skill-Based Reinforcement Learning with Intrinsic Reward Matching


Skill-LLM: Repurposing General-Purpose LLMs for Skill Extraction


Skill2vec: Machine Learning Approach for Determining the Relevant Skills from Job Description


SkillBlender: Towards Versatile Humanoid Whole-Body Loco-Manipulation via Skill Blending


SkillCheck: An Incentive-based Certification System using Blockchains


SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution


SkillNER: Mining and Mapping Soft Skills from any Text


SkillScanner: Detecting Policy-Violating Voice Applications Through Static Analysis at the Development Phase


SkillSpan: Hard and Soft Skill Extraction from English Job Postings


SkillVet: Automated Traceability Analysis of Amazon Alexa Skills


Skim-Attention: Learning to Focus via Document Layout


Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification


Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets


Skin Lesion Correspondence Localization in Total Body Photography


Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting


Skin Lesion Segmentation Improved by Transformer-based Networks with Inter-scale Dependency Modeling


Skin Lesion Synthesis with Generative Adversarial Networks


Skin3D: Detection and Longitudinal Tracking of Pigmented Skin Lesions in 3D Total-Body Textured Meshes


SkinDistilViT: Lightweight Vision Transformer for Skin Lesion Classification


SkinFormer: Learning Statistical Texture Representation with Transformer for Skin Lesion Segmentation


Skinned Motion Retargeting with Dense Geometric Interaction Perception


Skinned Motion Retargeting with Residual Perception of Motion Semantics & Geometry


Skip Mamba Diffusion for Monocular 3D Semantic Scene Completion


Skip That Beat: Augmenting Meter Tracking Models for Underrepresented Time Signatures


Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves


Skip prediction using boosting trees based on acoustic features of tracks in sessions


Skip the Benchmark: Generating System-Level High-Level Synthesis Data using Generative Machine Learning


SkipClick: Combining Quick Responses and Low-Level Features for Interactive Segmentation in Winter Sports Contexts


SkipFuzz: Active Learning-based Input Selection for Fuzzing Deep Learning Libraries


SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks


SkipNet: Learning Dynamic Routing in Convolutional Networks


SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks


SkipPipe: Partial and Reordered Pipelining Framework for Training LLMs in Heterogeneous Networks


SkipSNN: Efficiently Classifying Spike Trains with Event-attention


SkipVAR: Accelerating Visual Autoregressive Modeling via Adaptive Frequency-Aware Skipping


Skipping the Replica Exchange Ladder with Normalizing Flows


Skit-S2I: An Indian Accented Speech to Intent dataset


Skopus: Mining top-k sequential patterns under leverage


Skull stripping with purely synthetic data


Sky Computing: Accelerating Geo-distributed Computing in Federated Learning


Sky coverage of orbital detectors. Analytical approach


Sky pixel detection in outdoor imagery using an adaptive algorithm and machine learning


Sky-GVINS: a Sky-segmentation Aided GNSS-Visual-Inertial System for Robust Navigation in Urban Canyons


Sky-GVIO: an enhanced GNSS/INS/Vision navigation with FCN-based sky-segmentation in urban canyon


Sky-averaged 21-cm signal extraction using multiple antennas with an SVD framework: the REACH case


SkyCam: A Dataset of Sky Images and their Irradiance values


SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model


SkyLadder: Better and Faster Pretraining via Context Window Scheduling


SkyMapper colours of Seyfert galaxies and Changing-look AGN-II. Newly discovered Changing-look AGN


SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks


SkyScript-100M: 1,000,000,000 Pairs of Scripts and Shooting Scripts for Short Drama


SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing


SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding


SkyTrakx: A Toolkit for Simulation and Verification of Unmanned Air-Traffic Management Systems (Extended Version)


Skyeye Team at MBZIRC 2020: A team of aerial and ground robots for GPS-denied autonomous fire extinguishing in an urban building scenario


Skylight: a new code for general-relativistic ray-tracing and radiative transfer in arbitrary spacetimes


Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network Training


Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition


Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays


Skywork Open Reasoner 1 Technical Report


Slack and Margin Rescaling as Convex Extensions of Supermodular Functions


Slalom in complex time: emergence of low-energy structures in tunnel ionization via complex time contours


Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware


Slamming Forces During Water Entry of a Simple Harmonic Oscillator


Slamming the sham: A Bayesian model for adaptive adjustment with noisy control data


Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang


Slant, Fan, and Narrow: the Response of Stellar Streams to a Tilting Galactic Disk


Slapo: A Schedule Language for Progressive Optimization of Large Deep Learning Model Training


SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning


Sleep Deprivation in the Forward-Forward Algorithm


Sleep Staging from Airflow Signals Using Fourier Approximations of Persistence Curves


Sleep When Everything Looks Fine: Self-Triggered Monitoring for Signal Temporal Logic Tasks


Sleep-time Compute: Beyond Inference Scaling at Test-time


SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals


SleepNet: Attention-Enhanced Robust Sleep Prediction using Dynamic Social Networks


SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWB


Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch


Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training


SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models


Slender Object Detection: Diagnoses and Improvements


Slender vortex filaments in the Boussinesq Approximation


Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network


Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-Supervised Learning


SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models


SliTraNet: Automatic Detection of Slide Transitions in Lecture Videos using Convolutional Neural Networks


Slice it up: Unmasking User Identities in Smartwatch Health Data


Slice+Slice Baby: Generating Last-Level Cache Eviction Sets in the Blink of an Eye


Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model


Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices


SliceGPT: Compress Large Language Models by Deleting Rows and Columns


SliceGX: Layer-wise GNN Explanation with Model-slicing


SliceIt! -- A Dual Simulator Framework for Learning Robot Food Slicing


SliceMatch: Geometry-guided Aggregation for Cross-View Pose Estimation


SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs


SliceNStitch: Continuous CP Decomposition of Sparse Tensor Streams


SliceOcc: Indoor 3D Semantic Occupancy Prediction with Vertical Slice Representation


SliceType: Fast Gaze Typing with a Merging Keyboard


Sliced Maximal Information Coefficient: A Training-Free Approach for Image Quality Assessment Enhancement


Sliced Score Matching: A Scalable Approach to Density and Score Estimation


Sliced Wasserstein Discrepancy in Disentangling Representation and Adaptation Networks for Unsupervised Domain Adaptation


Sliced Wasserstein Estimation with Control Variates


Sliced Wasserstein with Random-Path Projecting Directions


Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds


Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates


Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions


Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal Slices


Sliceformer: Make Multi-head Attention as Simple as Sorting in Discriminative Tasks


SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment


Slicing Mutual Information Generalization Bounds for Neural Networks


Slicing Vision Transformer for Flexible Inference


Slicing the Gaussian Mixture Wasserstein Distance


Slide-Level Prompt Learning with Vision Language Models for Few-Shot Multiple Instance Learning in Histopathology


Slide-SAM: Medical SAM Meets Sliding Window


Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention


SlideCoder: Layout-aware RAG-enhanced Hierarchical Slide Generation from Design


SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer


SlideItRight: Using AI to Find Relevant Slides and Provide Feedback for Open-Ended Questions


SlideRunner - A Tool for Massive Cell Annotations in Whole Slide Images


SlideSLAM: Sparse, Lightweight, Decentralized Metric-Semantic SLAM for Multi-Robot Navigation


SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images


Sliding Gaussian ball adaptive growth (SlingBAG): point cloud-based iterative algorithm for large-scale 3D photoacoustic imaging


Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning


Sliding Window Algorithms for k-Clustering Problems


Sliding Window Recurrent Network for Efficient Video Super-Resolution


Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models


Slim-neck by GSConv: A lightweight-design for real-time detector architectures


SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow


SlimNets: An Exploration of Deep Model Compression and Acceleration


SlimSAM: 0.1% Data Makes Segment Anything Slim


SlimSeiz: Efficient Channel-Adaptive Seizure Prediction Using a Mamba-Enhanced Network


Slimmable Generative Adversarial Networks


SlipCover: Near Zero-Overhead Code Coverage for Python


Slitless spectrophotometry with forward modelling: principles and application to atmospheric transmission measurement


Slope and generalization properties of neural networks


Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases


Slope-Dependent Rendering of Parallel Coordinates to Reduce Density Distortion and Ghost Clusters


Sloppy model analysis identifies bifurcation parameters without Normal Form analysis


Slot Filling for Extracting Reskilling and Upskilling Options from the Web


Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning


Slot Self-Attentive Dialogue State Tracking


SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models


SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network


SlotPi: Physics-informed Object-centric Reasoning Models


SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling


Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families


SlothSpeech: Denial-of-service Attack Against Speech Recognition Models


SlovakBERT: Slovak Masked Language Model


Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks


Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks


Slow cooling of hot polarons in halide perovskite solar cells


Slow evolution of the metric perturbation due to a quasicircular inspiral into a Schwarzschild black hole


Slow expanders invade by forming dented fronts in microbial colonies


Slow manifolds in recurrent networks encode working memory efficiently and robustly


Slow-Fast Architecture for Video Multi-Modal Large Language Models


Slow-fast dynamics of strongly coupled adaptive frequency oscillators


SlowFast Network for Continuous Sign Language Recognition


SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models


SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum


Slower swimming promotes chemotactic encounters between bacteria and small phytoplankton


Slowly Varying Regression under Sparsity


Sluggish and Chemically-Biased Interstitial Diffusion in Concentrated Solid Solution Alloys: Mechanisms and Methods


Sm-Nd Isotope Data Compilation from Geoscientific Literature Using an Automated Tabular Extraction Method


Sm: enhanced localization in Multiple Instance Learning for medical imaging classification


SmBoP: Semi-autoregressive Bottom-up Semantic Parsing


SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet Architecture


Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector


Small Area Estimation of Education Levels in Low- and Middle-Income Countries


Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-Resolution


Small LLMs Are Weak Tool Learners: A Multi-LLM Agent


Small Language Model Makes an Effective Long Text Extractor


Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning


Small Language Models Improve Giants by Rewriting Their Outputs


Small Language Models Need Strong Verifiers to Self-Correct Reasoning


Small Language Models can Outperform Humans in Short Creative Writing: A Study Comparing SLMs with Humans and LLMs


Small Language Models: Survey, Measurements, and Insights


Small Lesion Segmentation in Brain MRIs with Subpixel Embedding


Small Models are Valuable Plug-ins for Large Language Models


Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs


Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling


Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning


Small Parsimony for Natural Genomes in the DCJ-Indel Model


Small Ramsey numbers for books, wheels, and generalizations


Small Scale Data-Free Knowledge Distillation


Small Transformers Compute Universal Metric Embeddings


Small Triangulations of $4$-Manifolds: Introducing the $4$-Manifold Census


Small area estimation of growing stock timber volume, basal area, mean stem diameter, and stem density for mountain forests in Austria


Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Framework


Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMs


Small coresets via negative dependence: DPPs, linear statistics, and concentration


Small or Far Away? Exploiting Deep Super-Resolution and Altitude Data for Aerial Animal Surveillance


Small singular values can increase in lower precision


Small tile sets that compute while solving mazes


Small- and Large-Scale Galactic Conformity in SDSS DR7


Small-Amp: Test Amplification in a Dynamically Typed Language


Small-Angle X-ray Scattering: Characterization of cubic Au nanoparticles using Debye's scattering formula


Small-Cell-Based Fast Active Learning of Machine Learning Interatomic Potentials


Small-Footprint Keyword Spotting with Multi-Scale Temporal Convolution


Small-Scale Testbed for Evaluating C-V2X Applications on 5G Cellular Networks


Small-area Population Forecast in a Segregated City using Density-Functional Fluctuation Theory


Small-signal stability in inverter-dominated grids: exploring the role of gains, line dynamics, and operating conditions


SmallBigNet: Integrating Core and Contextual Views for Video Classification


SmallCap: Lightweight Image Captioning Prompted with Retrieval Augmentation


SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models


Smaller $p$-values in genomics studies using distilled historical information


Smaller But Better: Unifying Layout Generation with Smaller Large Language Models


Smaller Language Models Are Better Instruction Evolvers


Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models


Smaller Text Classifiers with Discriminative Cluster Embeddings


Smaller and More Flexible Cuckoo Filters


Smaller3d: Smaller Models for 3D Semantic Segmentation Using Minkowski Engine and Knowledge Distillation Methods


Smallset Timelines: A Visual Representation of Data Preprocessing Decisions


Smart 6G Sky for Green Mobile IOT Networks


Smart Ankleband for Plug-and-Play Hand-Prosthetic Control


Smart App Attack: Hacking Deep Learning Models in Android Apps


Smart Car Features using Embedded Systems and IoT


Smart City Data Analysis via Visualization of Correlated Attribute Patterns


Smart Contract SLAs for Dense Small-Cell-as-a-Service


Smart Contract Vulnerabilities: Does Anyone Care?


Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion


Smart Data Representations: Impact on the Accuracy of Deep Neural Networks


Smart ETL and LLM-based contents classification: the European Smart Tourism Tools Observatory experience


Smart Energy Network Digital Twins: Findings from a UK-Based Demonstrator Project


Smart Fitting Room: A One-stop Framework for Matching-aware Virtual Try-on


Smart HPA: A Resource-Efficient Horizontal Pod Auto-scaler for Microservice Architectures


Smart Machine Vision for Universal Spatial Mode Reconstruction


Smart Magnetic Microrobots Learn to Swim with Deep Reinforcement Learning


Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems


Smart Refrigerator using Internet of Things and Android


Smart Starts: Accelerating Convergence through Uncommon Region Exploration


Smart Traffic Signals: Comparing MARL and Fixed-Time Strategies


Smart Vectorizations for Single and Multiparameter Persistence


Smart Word Suggestions for Writing Assistance


Smart and Context-Aware System employing Emotions Recognition


Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System


SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World


SmartBook: AI-Assisted Situation Report Generation for Intelligence Analysts


SmartBullets: A Cloud-Assisted Bullet Screen Filter based on Deep Learning


SmartControllerJS: A JavaScript library to turn smartphones into controllers for web-based interactive experiments


SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training


SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models


SmartFL: Semantics Based Probabilistic Fault Localization


SmartFreeEdit: Mask-Free Spatial-Aware Image Editing with Complex Instruction Understanding


SmartHome-Bench: A Comprehensive Benchmark for Video Anomaly Detection in Smart Homes Using Multi-Modal Large Language Models


SmartKex: Machine Learning Assisted SSH Keys Extraction From The Heap Dump


SmartMocap: Joint Estimation of Human and Camera Motion using Uncalibrated RGB Cameras


SmartNote: An LLM-Powered, Personalised Release Note Generator That Just Works


SmartOracle: Generating Smart Contract Oracle via Fine-Grained Invariant Detection


SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators


SmartPilot: A Multiagent CoPilot for Adaptive and Intelligent Manufacturing


SmartPlay: A Benchmark for LLMs as Intelligent Agents


SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction


SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction


SmartShift: A Secure and Efficient Approach to Smart Contract Migration


SmartState: An Automated Research Protocol Adherence System


SmartTrap: Automated Precision Experiments with Optical Tweezers


SmartWatts: Self-Calibrating Software-Defined Power Meter for Containers


Smartbanner: Intelligent banner design framework that strikes a balance between creative freedom and design rules


Smarter k-Partitioning of ZX-Diagrams for Improved Quantum Circuit Simulation


Smartphone tristimulus colorimetry for skin-tone analysis at common pulse oximetry anatomical sites


Smartwatch-based ecological momentary assessments for occupant wellness and privacy in buildings


Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive


Smiles2Dock: an open large-scale multi-task dataset for ML-based molecular docking


SmoQyDEAC.jl: A differential evolution package for the analytic continuation of imaginary time correlation functions


SmokEng: Towards Fine-grained Classification of Tobacco-related Social Media Text


Smoke Testing for Machine Learning: Simple Tests to Discover Severe Defects


SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics


SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation


Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection


Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models


Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing


Smooth Exact Gradient Descent Learning in Spiking Neural Networks


Smooth InfoMax -- Towards easier Post-Hoc interpretability


Smooth Information Gathering in Two-Player Noncooperative Games


Smooth Loss Functions for Deep Top-k Classification


Smooth Neighbors on Teacher Graphs for Semi-supervised Learning


Smooth Non-Rigid Shape Matching via Effective Dirichlet Energy Optimization


Smooth Ranking SVM via Cutting-Plane Method


Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Association


Smooth Subsum Search: A heuristic for practical integer factorization


Smooth Tchebycheff Scalarization for Multi-Objective Optimization


Smooth and probabilistic PARAFAC model with auxiliary covariates


Smooth and shape-constrained quantile distributed lag models


Smooth multi-period forecasting with application to prediction of COVID-19 cases


Smooth, Integrated Proofs of Cryptographic Constant Time for Nondeterministic Programs and Compilers


Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attention


SmoothCache: A Universal Inference Acceleration Technique for Diffusion Transformers


SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations


SmoothI: Smooth Rank Indicators for Differentiable IR Metrics


SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness


SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos


SmoothNets: Optimizing CNN architecture design for differentially private deep learning


SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models


SmoothSegNet: A Global-Local Framework for Liver Tumor Segmentation with Clinical KnowledgeInformed Label Smoothing


Smoothed Circulant Embedding with Applications to Multilevel Monte Carlo Methods for PDEs with Random Coefficients


Smoothed Contrastive Learning for Unsupervised Sentence Embedding


Smoothed Dilated Convolutions for Improved Dense Prediction


Smoothed Embeddings for Certified Few-Shot Learning


Smoothed Geometry for Robust Attribution


Smoothed Model-Assisted Small Area Estimation


Smoothed Separable Nonnegative Matrix Factorization


Smoothie: Label Free Language Model Routing


Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation


Smoothing 3-dimensional polyhedral spaces


Smoothing Dialogue States for Open Conversational Machine Reading


Smoothing Entailment Graphs with Language Models


Smoothing Structured Decomposable Circuits


Smoothing and spatial verification of global fields


Smoothing for age-period-cohort models: a comparison between splines and random process


Smoothing in linear multicompartment biological processes subject to stochastic input


Smoothing splines for discontinuous signals


Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises


Smoothing via Adaptive Shrinkage (smash): denoising Poisson and heteroskedastic Gaussian signals


Smoothness Analysis for Probabilistic Programs with Application to Optimised Variational Inference


Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation


Smoothness and effective regularizations in learned embeddings for shape matching


SmurfCat at PAN 2024 TextDetox: Alignment of Multilingual Transformers for Text Detoxification


SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection


Smurfs: Leveraging Multiple Proficiency Agents with Context-Efficiency for Tool Planning


Snail: Secure Single Iteration Localization


SnakModel: Lessons Learned from Training an Open Danish Large Language Model


Snake-Inspired Mobile Robot Positioning with Hybrid Learning


Snakemaker: Seamlessly transforming ad-hoc analyses into sustainable Snakemake workflows with generative AI


Snakes AI Competition 2020 and 2021 Report


Snakes and Ladders: Adapting the surface code to defects


Snakes and Ladders: Two Steps Up for VideoMamba


Snap-and-tune: combining deep learning and test-time optimization for high-fidelity cardiovascular volumetric meshing


SnapCheck: Automated Testing for Snap Programs


SnapKV: LLM Knows What You are Looking for Before Generation


SnapperGPS: Open Hardware for Energy-Efficient, Low-Cost Wildlife Location Tracking with Snapshot GNSS


Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics


Snapshot Reinforcement Learning: Leveraging Prior Trajectories for Efficiency


Snapshot hyperspectral imaging of intracellular lasers


Snapshot-driven Rational Interpolation of Parametric Systems


Snapshot: Towards Application-centered Models for Pedestrian Trajectory Prediction in Urban Traffic Environments


Snapture -- A Novel Neural Architecture for Combined Static and Dynamic Hand Gesture Recognition


SnatchML: Hijacking ML models without Training Access


Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data


Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning


Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D Pose Estimation Tracking and Forecasting on a Video Snippet


Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference


SnoW: Serverless n-Party calls over WebRTC


Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics


Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning


SnowFormer: Context Interaction Transformer with Scale-awareness for Single Image Desnowing


Snowball: Strain aware gene assembly of Metagenomes


Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing


Snowpack Estimation in Key Mountainous Water Basins from Openly-Available, Multimodal Data Sources


Snowy Scenes,Clear Detections: A Robust Model for Traffic Light Detection in Adverse Weather Conditions


Snuffy: Efficient Whole Slide Image Classifier


So Different Yet So Alike! Constrained Unsupervised Text Style Transfer


So Much in So Little: Creating Lightweight Embeddings of Python Libraries


So What's the Plan? Mining Strategic Planning Documents


So2Sat POP -- A Curated Benchmark Data Set for Population Estimation from Space on a Continental Scale


SoCodec: A Semantic-Ordered Multi-Stream Speech Codec for Efficient Language Model Based Text-to-Speech Synthesis


SoFA: Shielded On-the-fly Alignment via Priority Rule Following


SoGCN: Second-Order Graph Convolutional Networks


SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems


SoK: Advances and Open Problems in Web Tracking


SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly But Were Afraid to Ask


SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning


SoK: Comparing Different Membership Inference Attacks with a Comprehensive Benchmark


SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols


SoK: Decoding the Enigma of Encrypted Network Traffic Classifiers


SoK: Evaluating Jailbreak Guardrails for Large Language Models


SoK: Evaluations in Industrial Intrusion Detection Research


SoK: Explainable Machine Learning for Computer Security Applications


SoK: Fully Homomorphic Encryption Compilers


SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)


SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It)


SoK: Pitfalls in Evaluating Black-Box Attacks


SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection


SoK: Security of Programmable Logic Controllers


SoK: Security of the Image Processing Pipeline in Autonomous Vehicles


SoK: The Impact of Unlabelled Data in Cyberthreat Detection


SoK: Unintended Interactions among Machine Learning Defenses and Risks


SoK: Vehicle Orientation Representations for Deep Rotation Estimation


SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing


SoK: Where's the "up"?! A Comprehensive (bottom-up) Study on the Security of Arm Cortex-M Systems


SoLo T-DIRL: Socially-Aware Dynamic Local Planner based on Trajectory-Ranked Deep Inverse Reinforcement Learning


SoMa: Identifying, Exploring, and Understanding the DRAM Communication Scheduling Space for DNN Accelerators


SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles


SoMoFormer: Multi-Person Pose Forecasting with Transformers


SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints


SoRA: Singular Value Decomposed Low-Rank Adaptation for Domain Generalizable Representation Learning


SoRoTop: a hitchhiker's guide to topology optimization MATLAB code for design-dependent pneumatic-driven soft robots


SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement


SoTTA: Robust Test-Time Adaptation on Noisy Data Streams


SoTaNa: The Open-Source Software Development Assistant


SoVAR: Building Generalizable Scenarios from Accident Reports for Autonomous Driving Testing


Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives


Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics


SocCogCom at SemEval-2020 Task 11: Characterizing and Detecting Propaganda using Sentence-Level Emotional Salience Features


SocNav1: A Dataset to Benchmark and Learn Social Navigation Conventions


SocNavBench: A Grounded Simulation Testing Framework for Evaluating Social Navigation


SocREval: Large Language Models with the Socratic Method for Reference-Free Reasoning Evaluation


SoccerCPD: Formation and Role Change-Point Detection in Soccer Matches Using Spatiotemporal Tracking Data


SoccerDB: A Large-Scale Database for Comprehensive Video Understanding


SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap


SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset


SoccerNet-v3D: Leveraging Sports Broadcast Replays for 3D Scene Understanding


Social Bias Evaluation for Large Language Models Requires Prompt Variations


Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria


Social Bias in Large Language Models For Bangla: An Empirical Study on Gender and Religious Bias


Social Biases in Knowledge Representations of Wikidata separates Global North from Global South


Social Catalysts: Characterizing People Who Spark Conversations Among Others


Social Commonsense Reasoning with Multi-Head Knowledge Attention


Social Contract AI: Aligning AI Assistants with Implicit Group Norms


Social Cue Detection and Analysis Using Transfer Entropy


Social Distancing Alert with Smartwatches


Social Emotion Mining Techniques for Facebook Posts Reaction Prediction


Social Fabric: Tubelet Compositions for Video Relation Detection


Social Graph Restoration via Random Walk Sampling


Social Groups Based Content Caching in Wireless Networks


Social Influence and Unfollowing Accelerate the Emergence of Echo Chambers


Social Interaction Layers in Complex Networks for the Dynamical Epidemic Modeling of COVID-19 in Brazil


Social Interaction in the Flickr Social Network


Social Interpretable Tree for Pedestrian Trajectory Prediction


Social Learning and the Exploration-Exploitation Tradeoff


Social Learning with Partial Information Sharing


Social Media COVID-19 Contact Tracing Using Mobile Social Payments and Facebook Data


Social Media Engagement and Cryptocurrency Performance


Social Media Reveals Urban-Rural Differences in Stress across China


Social Meme-ing: Measuring Linguistic Variation in Memes


Social Network Analysis for Social Neuroscientists


Social Network Analysis of Corruption Structures: Adjacency Matrices Supporting the Visualization and Quantification of Layeredness


Social Network Analysis: From Graph Theory to Applications with Python


Social Physics Informed Diffusion Model for Crowd Simulation


Social Recommendation through Heterogeneous Graph Modeling of the Long-term and Short-term Preference Defined by Dynamic Time Spans


Social Recommendation with Self-Supervised Metagraph Informax Network


Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community


Social Sycophancy: A Broader Understanding of LLM Sycophancy


Social and Scene-Aware Trajectory Prediction in Crowded Spaces


Social and environmental impact of recent developments in machine learning on biology and chemistry research


Social and individual learning in the Minority Game


Social and material vulnerability in the face of seismic hazard: an analysis of the Italian case


Social dilemmas of sociality due to beneficial and costly contagion


Social distancing in pedestrian dynamics and its effect on disease spreading


Social dynamics can delay or prevent climate tipping points by speeding the adoption of climate change mitigation


Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning


Social learning strategies modify the effect of network structure on group performance


Social media emotion macroscopes reflect emotional experiences in society at large


Social network structure and the spread of complex contagions from a population genetics perspective


Social perception of faces in a vision-language model


Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation


Social-Inverse: Inverse Decision-making of Social Contagion Management with Task Migrations


Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction


Social-Transmotion: Promptable Human Trajectory Prediction


Social-ecological feedbacks drive tipping points in farming system diversification


SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents


SocialCircle+: Learning the Angle-based Conditioned Interaction Representation for Pedestrian Trajectory Prediction


SocialDF: Benchmark Dataset and Detection Model for Mitigating Harmful Deepfake Content on Social Media Platforms


SocialDial: A Benchmark for Socially-Aware Dialogue Systems


SocialEval: Evaluating Social Intelligence of Large Language Models


SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization


SocialGaze: Improving the Integration of Human Social Norms in Large Language Models


SocialGenPod: Privacy-Friendly Generative AI Social Web Applications with Decentralised Personal Data Stores


SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas


SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models


SocialVAE: Human Trajectory Prediction using Timewise Latents


Socialformer: Social Network Inspired Long Document Modeling for Document Ranking


Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement and Retrieval


Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning


Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization


Socially Intelligent Genetic Agents for the Emergence of Explicit Norms


Socially reactive navigation models for mobile robots in dynamic environments


Socially-Informed Reconstruction for Pedestrian Trajectory Forecasting


Socialz: Multi-Feature Social Fuzz Testing


Societal Biases in Language Generation: Progress and Challenges


Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation for BERT Rankers


Societal citations undermine the function of the science reward system


Socio-economic disparities and COVID-19 in the USA


Socio-economic, built environment, and mobility conditions associated with crime: A study of multiple cities


Socio-technical systems integration and design: a multi-objective optimisation method based on integrative preference maximisation


SocioProbe: What, When, and Where Language Models Learn about Sociodemographics


SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users


SocioXplorer: An Interactive Tool for Topic and Network Analysis in Social Data


Sociocultural Norm Similarities and Differences via Situational Alignment and Explainable Textual Entailment


Socioeconomic agents as active matter in nonequilibrium Sakoda-Schelling models


Socioeconomic centers in cities worldwide


Socioeconomic correlations of urban patterns inferred from aerial images: interpreting activation maps of Convolutional Neural Networks


Sockpuppet Detection: a Telegram case study


Socrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-based Test Oracles


SocratiQ: A Generative AI-Powered Learning Companion for Personalized Education and Broader Accessibility


Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language


Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization


Socratic Questioning: Learn to Self-guide Multimodal Reasoning in the Wild


Soda-Eval: Open-Domain Dialogue Evaluation in the age of LLMs


SofGAN: A Portrait Image Generator with Dynamic Styling


SofaMyRoom: a fast and multiplatform "shoebox" room simulator for binaural room impulse response dataset generation


Soft Actor-Critic with Cross-Entropy Policy Optimization


Soft Actor-Critic-based Control Barrier Adaptation for Robust Autonomous Navigation in Unknown Environments


Soft Alignment Objectives for Robust Adaptation of Language Generation


Soft Augmentation for Image Classification


Soft Contextual Data Augmentation for Neural Machine Translation


Soft Contrastive Learning for Time Series


Soft Expectation and Deep Maximization for Image Feature Detection


Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks


Soft Gazetteers for Low-Resource Named Entity Recognition


Soft Genetic Programming Binary Classifiers


Soft Hoeffding Tree: A Transparent and Differentiable Model on Data Streams


Soft Masked Mamba Diffusion Model for CT to MRI Conversion


Soft Measures for Extracting Causal Collective Intelligence


Soft Photon Heating: A Semi-Analytic Framework and Applications to $21$cm Cosmology


Soft Prompt Generation for Domain Generalization


Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models


Soft Prompting for Unlearning in Large Language Models


Soft Quantization using Entropic Regularization


Soft Reverse Reconciliation for Discrete Modulations


Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity


Soft Self-Consistency Improves Language Model Agents


Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word


Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space


Soft Tracking Using Contacts for Cluttered Objects to Perform Blind Object Retrieval


Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation


Soft Weight-Sharing for Neural Network Compression


Soft and subspace robust multivariate rank tests based on entropy regularized optimal transport


Soft and transferable pseudopotentials from multi-objective optimization


Soft ascent-descent as a stable and flexible alternative to flooding


Soft decision decoding of Reed-Muller codes: recursive lists


Soft happy colourings and community structure of networks


Soft information decoding with superconducting qubits


Soft labelling for semantic segmentation: Bringing coherence to label down-sampling


Soft-Bellman Equilibrium in Affine Markov Games: Forward Solutions and Inverse Learning


Soft-Label Caching and Sharpening for Communication-Efficient Federated Distillation


Soft-Label Integration for Robust Toxicity Classification


Soft-PHOC Descriptor for End-to-End Word Spotting in Egocentric Scene Images


Soft-Prompting with Graph-of-Thought for Multi-modal Representation Learning


Soft-Search: Two Datasets to Study the Identification and Production of Research Software


Soft-TransFormers for Continual Learning


Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks


Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes


SoftCTC -- Semi-Supervised Learning for Text Recognition using Soft Pseudo-Labels


SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis


SoftED: Metrics for Soft Evaluation of Time Series Event Detection


SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels


SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation


SoftHGNN: Soft Hypergraph Neural Networks for General Visual Recognition


SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning


SoftPQ: Robust Instance Segmentation Evaluation via Soft Matching and Tunable Thresholds


SoftShadow: Leveraging Penumbra-Aware Soft Masks for Shadow Removal


SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer


Softened Symbol Grounding for Neuro-symbolic Systems


Softpick: No Attention Sink, No Massive Activations with Rectified Softmax


Softplus Penalty Functions for Constrained Optimization


Software Architecture Recovery with Information Fusion


Software Bills of Materials in Maven Central


Software Code Quality Measurement: Implications from Metric Distributions


Software Development During COVID-19 Pandemic: an Analysis of Stack Overflow and GitHub


Software Engineering Methods For AI-Driven Deductive Legal Reasoning


Software Engineering Principles for Fairer Systems: Experiments with GroupCART


Software Engineering Research Community Viewpoints on Rapid Reviews


Software Engineering and Foundation Models: Insights from Industry Blogs Using a Jury of Foundation Models


Software Engineering for AI-Based Systems: A Survey


Software Fairness: An Analysis and Survey


Software Metrics in Boa Large-Scale Software Mining Infrastructure: Challenges and Solutions


Software Micro-Rejuvenation for Android Mobile Systems


Software Mitigation of RISC-V Spectre Attacks


Software Tools for Decoding Quantum Low-Density Parity Check Codes


Software Vulnerability Analysis Across Programming Language and Program Representation Landscapes: A Survey


Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT


Software and application patterns for explanation methods


Software architecture for YOLO, a creativity-stimulating robot


Software engineering to sustain a high-performance computing scientific application: QMCPACK


Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy


Software for Microscopy Workshop White Paper


Software for calculations of the Higgs boson lineshape in future lepton colliders


Software for the Thompson and Funk Polygonal Geometry


Software package for simulations using the coarse-grained CALVADOS model


Software-Defined MIMO OFDM Joint Radar-Communication Platform with Fully Digital mmWave Architecture


Sogou Machine Reading Comprehension Toolkit


Soil Property and Class Maps of the Conterminous US at 100 meter Spatial Resolution based on a Compilation of National Soil Point Observations and Machine Learning


Soil moisture estimation from Sentinel-1 interferometric observations over arid regions


Sojourn probabilities in tubes and pathwise irreversibility for Itô processes


SolRPDS: A Dataset for Analyzing Rug Pulls in Solana Decentralized Finance


Solar Cells, Lambert W and the LogWright Functions


Solar Cycle Prediction Using TCN Deep Learning Model with One-Step Pattern


Solar Energetic Particle Time Series Analysis with Python


Solar Event Tracking with Deep Regression Networks: A Proof of Concept Evaluation


Solar Flare Forecast: A Comparative Analysis of Machine Learning Algorithms for Solar Flare Class Prediction


Solar Irradiance Anticipative Transformer


Solar Potential Analysis of Rooftops Using Satellite Imagery


Solar Power Plant Detection on Multi-Spectral Satellite Imagery using Weakly-Supervised CNN with Feedback Features and m-PCNN Fusion


Solar Radiation Prediction in the UTEQ based on Machine Learning Models


Solar Radio Burst Detection Based on Deformable DETR


Solar activity classification based on Mg II spectra: towards classification on compressed data


Solar flare catalog from 3 years of Chandrayaan-2 XSM observations


Solar flares as electron accelerators: toward a resolution of the acceleration efficiency issue


Solar image denoising with convolutional neural networks


Solar models in light of new high metallicity measurements from solar wind data


Solar reflection of light dark matter with heavy mediators


Solar wind prediction using deep learning


SolarSAM: Building-scale Photovoltaic Potential Assessment Based on Segment Anything Model (SAM) and Remote Sensing for Emerging City


Solgenia -- A Test Vessel Toward Energy-Efficient Autonomous Water Taxi Applications


SoliDiffy: AST Differencing for Solidity Smart Contracts


Solid Geometry Processing on Deconstructed Domains


SolidMark: Evaluating Image Memorization in Generative Models


Solitary water waves created by variations in bathymetry


Solitary wave formation in the compressible Euler equations


Solla: Towards a Speech-Oriented LLM That Hears Acoustic Context


Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification


SoloAudio: Target Sound Extraction with Language-oriented Audio Diffusion Transformer


SoloPose: One-Shot Kinematic 3D Human Pose Estimation with Video Data Augmentation


SoloSpeech: Enhancing Intelligibility and Quality in Target Speech Extraction through a Cascaded Generative Pipeline


Solos: A Dataset for Audio-Visual Music Analysis


Solution Concepts in Hierarchical Games under Bounded Rationality with Applications to Autonomous Driving


Solution Path Algorithm for Twin Multi-class Support Vector Machine


Solution for Large-scale Long-tailed Recognition with Noisy Labels


Solution of SAT Problems with the Adaptive-Bias Quantum Approximate Optimization Algorithm


Solution of a Practical Vehicle Routing Problem for Monitoring Water Distribution Networks


Solution of the $k$-th eigenvalue problem in large-scale electronic structure calculations


Solutions of differential equations in Freud-weighted Sobolev spaces


Solutions to Elliptic and Parabolic Problems via Finite Difference Based Unsupervised Small Linear Convolutional Neural Networks


Solutions to the First Order Difference Equations in the Multivariate Difference Field


Solvability of Discrete Helmholtz Equations


Solvation Free Energies from Neural Thermodynamic Integration


Solve Mismatch Problem in Compressed Sensing


Solve routing problems with a residual edge-graph attention neural network


Solvent: A Framework for Protein Folding


Solvent: liquidity verification of smart contracts


Solvers for mixed finite element problems using Poincaré operators based on spanning trees


Solving $k$-center Clustering (with Outliers) in MapReduce and Streaming, almost as Accurately as Sequentially


Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization


Solving ARC visual analogies with neural embeddings and vector arithmetic: A generalized method


Solving Arithmetic Word Problems Automatically Using Transformer and Unambiguous Representations


Solving Aspect Category Sentiment Analysis as a Text Generation Task


Solving Audio Inverse Problems with a Diffusion Model


Solving Bayesian Network Structure Learning Problem with Integer Linear Programming


Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization


Solving Boolean satisfiability problems with resistive content addressable memories


Solving Complex Quadratic Systems with Full-Rank Random Matrices


Solving Compositional Reinforcement Learning Problems via Task Reduction


Solving Constrained Optimization Problems Using Hybrid Qubit-Qumode Quantum Devices


Solving Constrained Variational Inequalities via a First-order Interior Point-based Method


Solving Continuous Control via Q-learning


Solving Continuous Control with Episodic Memory


Solving Cosine Similarity Underestimation between High Frequency Words by L2 Norm Discounting


Solving Cutting Stock Problems via an Extended Ryan-Foster Branching Scheme and Fast Column Generation


Solving DWF Dirac Equation Using Multi-splitting Preconditioned Conjugate Gradient with Tensor Cores on NVIDIA GPUs