SPARQL Generation with Entity Pre-trained GPT for KG Question Answering


SPARQL Generation: an analysis on fine-tuning OpenLLaMA for Question Answering over a Life Science Knowledge Graph


SPARS3R: Semantic Prior Alignment and Regularization for Sparse 3D Reconstruction


SPARS: Self-Play Adversarial Reinforcement Learning for Segmentation of Liver Tumours


SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations


SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation


SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition


SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers


SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss


SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning


SPAct: Self-supervised Privacy Preservation for Action Recognition


SPBERT: An Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge Graphs


SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning


SPColor: Semantic Prior Guided Exemplar-based Image Colorization


SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG


SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space


SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits


SPDEBench: An Extensive Benchmark for Learning Regular and Singular Stochastic PDEs


SPDNet: Seasonal-Periodic Decomposition Network for Advanced Residential Demand Forecasting


SPDY: Accurate Pruning with Speedup Guarantees


SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement


SPEAKER VGG CCT: Cross-corpus Speech Emotion Recognition with Speaker Embedding and Vision Transformers


SPEAR : Semi-supervised Data Programming in Python


SPEAR: Receiver-to-Receiver Acoustic Neural Warping Field


SPEC5G: A Dataset for 5G Cellular Network Protocol Analysis


SPEC: Seeing People in the Wild with an Estimated Camera


SPECIAL: Synopsis Assisted Secure Collaborative Analytics


SPECIAL: Zero-shot Hyperspectral Image Classification With CLIP


SPECIES II. Stellar parameters of the EXPRESS program giant star sample


SPECTER: An Instrument Concept for CMB Spectral Distortion Measurements with Enhanced Sensitivity


SPECTRA: Sparse Structured Text Rationalization


SPECTRE: An FFT-Based Efficient Drop-In Replacement to Self-Attention for Long Contexts


SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics


SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators


SPECULATOR: Emulating stellar population synthesis for fast and accurate galaxy spectra and photometry


SPEECH-COCO: 600k Visually Grounded Spoken Captions Aligned to MSCOCO Data Set


SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres


SPEED-RL: Faster Training of Reasoning Models via Online Curriculum Learning


SPEED: Scalable Preprocessing of EEG Data for Self-Supervised Learning


SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models


SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding


SPENSER: Towards a NeuroEvolutionary Approach for Convolutional Spiking Neural Networks


SPERO: Simultaneous Power/EM Side-channel Dataset Using Real-time and Oscilloscope Setups


SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions


SPEX: Scaling Feature Interaction Explanations for LLMs


SPFCN: Select and Prune the Fully Convolutional Networks for Real-time Parking Slot Detection


SPFNO: Spectral operator learning for PDEs with Dirichlet and Neumann boundary conditions


SPGD: Steepest Perturbed Gradient Descent Optimization


SPGL: Enhancing Session-based Recommendation with Single Positive Graph Learning


SPGM: Prioritizing Local Features for enhanced speech separation performance


SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection


SPHERE: A Hierarchical Evaluation on Spatial Perception and Reasoning for Vision-Language Models


SPHERE: An Evaluation Card for Human-AI Systems


SPHM: a MATLAB package for Smoothed Particle Hydrodynamics simulations


SPI-GAN: Towards Single-Pixel Imaging through Generative Adversarial Network


SPICA: Retrieving Scenarios for Pluralistic In-Context Alignment


SPICE: A Synergistic, Precise, Iterative, and Customizable Image Editing Workflow


SPICE: Semantic Pseudo-labeling for Image Clustering


SPICE: Smart Projection Interface for Cooking Enhancement


SPICEPilot: Navigating SPICE Code Generation and Simulation with AI Guidance


SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks


SPIDER-WEB generates coding algorithms with superior error tolerance and real-time information retrieval capacity


SPIDER: A Comprehensive Multi-Organ Supervised Pathology Dataset and Baseline Models


SPIDER: Improved Succinct Rank and Select Performance


SPIKY: A graphical user interface for monitoring spike train synchrony


SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving


SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation


SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks


SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification


SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions


SPINE: Structural Identity Preserved Inductive Network Embedding


SPINEPS -- Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation


SPINN: Sparse, Physics-based, and partially Interpretable Neural Networks for PDEs


SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers


SPIRAL: An Efficient Algorithm for the Integration of the Equation of Rotational Motion


SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning


SPIRONet: Spatial-Frequency Learning and Topological Channel Interaction Network for Vessel Segmentation


SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation


SPLENDAQ: A Detector-Agnostic Data Acquisition System for Small-Scale Physics Experiments


SPLICE: A Singleton-Enhanced PipeLIne for Coreference REsolution


SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking


SPMamba: State-space model is all you need in speech separation


SPNets: Differentiable Fluid Dynamics for Deep Neural Networks


SPOCC: Scalable POssibilistic Classifier Combination -- toward robust aggregation of classifiers


SPOILER: Speculative Load Hazards Boost Rowhammer and Cache Attacks


SPONGE: A generalized eigenproblem for clustering signed networks


SPOQ $\ell_p$-Over-$\ell_q$ Regularization for Sparse Signal Recovery applied to Mass Spectrometry


SPOR: A Comprehensive and Practical Evaluation Method for Compositional Generalization in Data-to-Text Generation


SPORK That Spectrum: Increasing Detection Significances from High-Resolution Exoplanet Spectroscopy with Novel Smoothing Algorithms


SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models


SPOT: Secure and Privacy-preserving prOximiTy protocol for e-healthcare systems


SPOTS-10: Animal Pattern Benchmark Dataset for Machine Learning Algorithms


SPP-SBL: Space-Power Prior Sparse Bayesian Learning for Block Sparse Recovery


SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models


SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning


SPRIG: Improving Large Language Model Performance by System Prompt Optimization


SPRING-INX: A Multilingual Indian Language Speech Corpus by SPRING Lab, IIT Madras


SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph


SPRING: Studying the Paper and Reasoning to Play Games


SPRING: an effective and reliable framework for image reconstruction in single-particle Coherent Diffraction Imaging


SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning


SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval


SPRINT: A fast, new software tool for reconstructing the evolutionary past of polyploid datasets


SPRINT: An Assistant for Issue Report Management


SPRINT: Ultrafast protein-protein interaction prediction of the entire human interactome


SPRMamba: Surgical Phase Recognition for Endoscopic Submucosal Dissection with Mamba


SPROUT: A moving mesh hydro code using a uniformly expanding Cartesian grid


SPRec: Leveraging Self-Play to Debias Preference Alignment for Large Language Model-based Recommendations


SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans


SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection


SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking


SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations


SPT: Fine-Tuning Transformer-based Language Models Efficiently with Sparsification


SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network


SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization


SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments


SPVSoAP3D: A Second-order Average Pooling Approach to enhance 3D Place Recognition in Horticultural Environments


SPViT: Enabling Faster Vision Transformers via Soft Token Pruning


SPViz: A DSL-Driven Approach for Software Project Visualization Tooling


SPaR.txt, a cheap Shallow Parsing approach for Regulatory texts


SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models


SPaRC: A Spatial Pathfinding Reasoning Challenge


SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation


SPeCtrum: A Grounded Framework for Multidimensional Identity Representation in LLM-Based Agent


SPhyR: Spatial-Physical Reasoning Benchmark on Material Distribution


SProBench: Stream Processing Benchmark for High Performance Computing Infrastructure


SQ-GAN: Semantic Image Communications Using Masked Vector Quantization


SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant


SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization


SQA3D: Situated Question Answering in 3D Scenes


SQAPlanner: Generating Data-Informed Software Quality Improvement Plans


SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLU


SQL Injection Jailbreak: A Structural Disaster of Large Language Models


SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation


SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning


SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL


SQL-to-Text Generation with Graph-to-Sequence Model


SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration


SQLFlow: A Bridge between SQL and Machine Learning


SQLNet: Scale-Modulated Query and Localization Network for Few-Shot Class-Agnostic Counting


SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation


SQLucid: Grounding Natural Language Database Queries with Interactive Explanations


SQUASH: Serverless and Distributed Quantization-based Attributed Vector Similarity Search


SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection


SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning


SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals


SQUWALS: A Szegedy QUantum WALks Simulator


SQuAD: 100,000+ Questions for Machine Comprehension of Text


SQuADDS: A validated design database and simulation workflow for superconducting qubit design


SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP


SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation


SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate Reduction


SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution


SR-CLD: spatially-resolved chord length distributions for statistical description, visualization, and alignment of non-uniform microstructures


SR-Clustering: Semantic Regularized Clustering for Egocentric Photo Streams Segmentation


SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks


SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization


SR-LIO: LiDAR-Inertial Odometry with Sweep Reconstruction


SR-Mamba: Effective Surgical Phase Recognition with State Space Model


SR-PredictAO: Session-based Recommendation with High-Capability Predictor Add-On


SR-Stereo & DAPE: Stepwise Regression and Pre-trained Edges for Practical Stereo Matching


SR-init: An interpretable layer pruning method


SR2CNN: Zero-Shot Learning for Signal Recognition


SR4ZCT: Self-supervised Through-plane Resolution Enhancement for CT Images with Arbitrary Resolution and Overlap


SRAI: Towards Standardization of Geospatial AI


SRAM-PG: Power Delivery Network Benchmarks from SRAM Circuits


SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent


SRAS: Self-governed Remote Attestation Scheme for Multi-party Collaboration


SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning


SRC-Net: Bi-Temporal Spatial Relationship Concerned Network for Change Detection


SRDA: Generating Instance Segmentation Annotation Via Scanning, Reasoning And Domain Adaptation


SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models


SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification


SRECG: ECG Signal Super-resolution Framework for Portable/Wearable Devices in Cardiac Arrhythmias Classification


SREP: Out-Of-Band Sync of Transaction Pools for Large-Scale Blockchains


SRFS: Parallel Processing Fault-tolerant ROS2-based Flight Software for the Space Ranger Cubesat


SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence


SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression


SRFormerV2: Taking a Closer Look at Permuted Self-Attention for Image Super-Resolution


SRG/eROSITA Survey in the Lockman Hole: Classification of X-ray Sources


SRGS: Super-Resolution 3D Gaussian Splatting


SRH-Net: Stacked Recurrent Hourglass Network for Stereo Matching


SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation


SRL4ORL: Improving Opinion Role Labeling using Multi-task Learning with Semantic Role Labeling


SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores


SRLGRN: Semantic Role Labeling Graph Reasoning Network


SRM-Hair: Single Image Head Mesh Reconstruction via 3D Morphable Hair


SRMAC -- Smoothed Recursive Moving Average Crossover for Real-Time Systolic Peak Detection in Photoplethysmography


SRMT: Shared Memory for Multi-agent Lifelong Pathfinding


SRNDiff: Short-term Rainfall Nowcasting with Condition Diffusion Model


SROS2: Usable Cyber Security Tools for ROS 2


SRPL-SFDA: SAM-Guided Reliable Pseudo-Labels for Source-Free Domain Adaptation in Medical Image Segmentation


SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images


SRPerf: a Performance Evaluation Framework for IPv6 Segment Routing


SRPose: Two-view Relative Pose Estimation with Sparse Keypoints


SRRM: Semantic Region Relation Model for Indoor Scene Recognition


SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution


SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World


SRTK: A Toolkit for Semantic-relevant Subgraph Retrieval


SRVP: Strong Recollection Video Prediction Model Using Attention-Based Spatiotemporal Correlation Fusion


SRViT: Vision Transformers for Estimating Radar Reflectivity from Satellite Observations at Scale


SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation


SRZoo: An integrated repository for super-resolution using deep learning


SReachTools Kernel Module: Data-Driven Stochastic Reachability Using Hilbert Space Embeddings of Distributions


SRoUDA: Meta Self-training for Robust Unsupervised Domain Adaptation


SS-ADA: A Semi-Supervised Active Domain Adaptation Framework for Semantic Segmentation


SS-BRPE: Self-Supervised Blind Room Parameter Estimation Using Attention Mechanisms


SS-BSN: Attentive Blind-Spot Network for Self-Supervised Denoising with Nonlocal Self-Similarity


SS-GNN: A Simple-Structured Graph Neural Network for Affinity Prediction


SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification


SS-MFAR : Semi-supervised Multi-task Facial Affect Recognition


SS4Rec: Continuous-Time Sequential Recommendation with State Space Models


SSAD: Self-supervised Auxiliary Detection Framework for Panoramic X-ray based Dental Disease Diagnosis


SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning


SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion


SSC: Semantic Scan Context for Large-Scale Place Recognition


SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving


SSCNav: Confidence-Aware Semantic Scene Completion for Visual Semantic Navigation


SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning


SSCard: Substring Cardinality Estimation using Suffix Tree-Guided Learned FM-Index


SSD -- Software for Systems with Delays: Reproducible Examples and Benchmarks on Model Reduction and H2 Norm Computation


SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains


SSD-KD: A Self-supervised Diverse Knowledge Distillation Method for Lightweight Skin Lesion Classification Using Dermoscopic Images


SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control


SSD-MonoDETR: Supervised Scale-aware Deformable Transformer for Monocular 3D Object Detection


SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation


SSD: Towards Better Text-Image Consistency Metric in Text-to-Image Generation


SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection


SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud


SSDNet: State Space Decomposition Neural Network for Time Series Forecasting


SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation


SSE-SAM: Balancing Head and Tail Classes Gradually through Stage-Wise SAM


SSEditor: Controllable Mask-to-Scene Generation with Diffusion Model


SSF: Sparse Long-Range Scene Flow for Autonomous Driving


SSFam: Scribble Supervised Salient Object Detection Family


SSG2: A new modelling paradigm for semantic segmentation


SSGD: A safe and efficient method of gradient descent


SSH-Net: A Self-Supervised and Hybrid Network for Noisy Image Watermark Removal


SSH: A Self-Supervised Framework for Image Harmonization


SSIG: A Visually-Guided Graph Edit Distance for Floor Plan Similarity


SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization


SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation


SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning


SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving


SSL-SoilNet: A Hybrid Transformer-based Framework with Self-Supervised Learning for Large-scale Soil Organic Carbon Prediction


SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-supervised Learning


SSL4EO-S12 v1.1: A Multimodal, Multiseasonal Dataset for Pretraining, Updated


SSL: A Self-similarity Loss for Improving Generative Image Super-resolution


SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in Conversations


SSLChange: A Self-supervised Change Detection Framework Based on Domain Adaptation


SSLG4: A Novel Scintillator Simulation Library for Geant4


SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders


SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces


SSM-Net for Plants Disease Identification in Low Data Regime


SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness


SSMF: Shifting Seasonal Matrix Factorization


SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model


SSMix: Saliency-Based Span Mixup for Text Classification


SSN: Soft Shadow Network for Image Compositing


SSNbayes: An R package for Bayesian spatio-temporal modelling on stream networks


SSP: Self-Supervised Post-training for Conversational Search


SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models


SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network


SSPP-DAN: Deep Domain Adaptation Network for Face Recognition with Single Sample Per Person


SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering


SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation


SSR-Speech: Towards Stable, Safe and Robust Zero-shot Text-based Speech Editing and Synthesis


SSR-TA: Sequence to Sequence based expert recurrent recommendation for ticket automation


SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine Translation


SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise


SSR: Spatial Sequential Hybrid Architecture for Latency Throughput Tradeoff in Transformer Acceleration


SSS at SemEval-2023 Task 10: Explainable Detection of Online Sexism using Majority Voted Fine-Tuned Transformers


SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation


SSSNET: Semi-Supervised Signed Network Clustering


SSSpaNG! Stellar Spectra as Sparse, data-driven, Non-Gaussian processes


SST-EM: Advanced Metrics for Evaluating Semantic, Spatial and Temporal Aspects in Video Editing


SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network


SST-ReversibleNet: Reversible-prior-based Spectral-Spatial Transformer for Efficient Hyperspectral Image Reconstruction


SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition


SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding


SSTM: Spatiotemporal Recurrent Transformers for Multi-frame Optical Flow Estimation


SSTRED: Data- and metadata-processing pipeline for CHROMIS and CRISP


SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation


SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning


SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising


SSformer: A Lightweight Transformer for Semantic Segmentation


SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading


SSumM: Sparse Summarization of Massive Graphs


ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation


ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning


ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data


ST-GREED: Space-Time Generalized Entropic Differences for Frame Rate Dependent Video Quality Prediction


ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing


ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos


ST-ITO: Controlling Audio Effects for Style Transfer with Inference-Time Optimization


ST-LLM: Large Language Models Are Effective Temporal Learners


ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic Surgery


ST-MoE-BERT: A Spatial-Temporal Mixture-of-Experts Framework for Long-Term Cross-City Mobility Prediction


ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations


ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal


ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification


ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging


ST360IQ: No-Reference Omnidirectional Image Quality Assessment with Spherical Vision Transformers


ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection


STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation


STA-VPR: Spatio-temporal Alignment for Visual Place Recognition


STA: Self-controlled Text Augmentation for Improving Text Classifications


STAA: Spatio-Temporal Attention Attribution for Real-Time Interpreting Transformer-based Video Models


STAC: Leveraging Spatio-Temporal Data Associations For Efficient Cross-Camera Streaming and Analytics


STAD: Self-Training with Ambiguous Data for Low-Resource Relation Extraction


STADB: A Self-Thresholding Attention Guided ADB Network for Person Re-identification


STADE: Standard Deviation as a Pruning Metric


STADEE: STAtistics-based DEEp Detection of Machine Generated Text


STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting


STAF: 3D Human Mesh Recovery from Video with Spatio-Temporal Alignment Fusion


STAF: Sinusoidal Trainable Activation Functions for Implicit Neural Representation


STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs


STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction


STAIR: Improving Safety Alignment with Introspective Reasoning


STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation


STAIR: Semantic-Targeted Active Implicit Reconstruction


STAIR: Spatial-Temporal Reasoning with Auditable Intermediate Results for Video Question Answering


STAL: Spike Threshold Adaptive Learning Encoder for Classification of Pain-Related Biosignal Data


STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation


STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings


STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay


STAN: Spatio-Temporal Attention Network for Pandemic Prediction Using Real World Evidence


STAN: Synthetic Network Traffic Generation with Generative Neural Models


STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection


STAR-Edge: Structure-aware Local Spherical Curve Representation for Thin-walled Edge Extraction from Unstructured Point Clouds


STAR-FDTD : Space-time modulated acousto-optic guidestar in disordered media


STAR-Net: An Interpretable Model-Aided Network for Remote Sensing Image Denoising


STAR-loc: Dataset for STereo And Range-based localization


STAR: A Concise Deep Learning Framework for Citywide Human Mobility Prediction


STAR: A Schema-Guided Dialog Dataset for Transfer Learning


STAR: A Session-Based Time-Aware Recommender System


STAR: A Structure and Texture Aware Retinex Model


STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models


STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization


STAR: Scale-wise Text-to-image generation via Auto-Regressive representations


STAR: Skeleton-aware Text-based 4D Avatar Generation with In-Network Motion Retargeting


STAR: Sparse Transformer-based Action Recognition


STAR: Spectral Truncation and Rescale for Model Merging


STARC: Structured Annotations for Reading Comprehension


STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionals


STARFlow: Spatial Temporal Feature Re-embedding with Attentive Learning for Real-world Scene Flow


STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models


STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy


STARS Enabled Integrated Sensing and Communications


STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events


START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation


STAResNet: a Network in Spacetime Algebra to solve Maxwell's PDEs


STATE ToxiCN: A Benchmark for Span-level Target-Aware Toxicity Extraction in Chinese Hate Speech Detection


STATGRAPH: Effective In-vehicle Intrusion Detection via Multi-view Statistical Graph Learning


STB-VMM: Swin Transformer Based Video Motion Magnification


STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis


STCL:Curriculum learning Strategies for deep learning image steganography models


STCOcc: Sparse Spatial-Temporal Cascade Renovation for 3D Occupancy and Scene Flow Prediction


STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models


STD-NET: Search of Image Steganalytic Deep-learning Architecture via Hierarchical Tensor Decomposition


STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM


STD-Trees: Spatio-temporal Deformable Trees for Multirotors Kinodynamic Planning


STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling


STD: A Seasonal-Trend-Dispersion Decomposition of Time Series


STD: Stable Triangle Descriptor for 3D place recognition


STDAN: Deformable Attention Network for Space-Time Video Super-Resolution


STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction


STDLens: Model Hijacking-Resilient Federated Learning for Object Detection


STDWeb: Simple Transient Detection pipeline for the Web


STDiff: Spatio-temporal Diffusion for Continuous Stochastic Video Prediction


STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive Applications


STEADY: Simultaneous State Estimation and Dynamics Learning from Indirect Observations


STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths


STEER: Unified Style Transfer with Expert Reinforcement


STEEX: Steering Counterfactual Explanations with Semantics


STEFANN: Scene Text Editor using Font Adaptive Neural Network


STELA: A Real-Time Scene Text Detector with Learned Anchor


STELLAR: Siamese Multi-Headed Attention Neural Networks for Overcoming Temporal Variations and Device Heterogeneity with Indoor Localization


STEM: Unsupervised STructural EMbedding for Stance Detection


STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation


STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning


STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning


STEP -- Towards Structured Scene-Text Spotting


STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking


STEP: Simultaneous Tracking and Estimation of Pose for Animals and Humans


STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits


STEPs: Self-Supervised Key Step Extraction and Localization from Unlabeled Procedural Videos


STEREO: Scientific Text Reuse in Open Access Publications


STEREO: Towards Adversarially Robust Concept Erasing from Text-to-Image Generation Models


STEREOFOG -- Computational DeFogging via Image-to-Image Translation on a real-world Dataset


STEVE: A Step Verification Pipeline for Computer-use Agent Training


STEdge: Self-training Edge Detection with Multi-layer Teaching and Regularization


STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos


STF: Spatial Temporal Fusion for Trajectory Prediction


STF: Spatio-Temporal Fusion Module for Improving Video Object Detection


STFCN: Spatio-Temporal FCN for Semantic Video Segmentation


STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks


STFT spectral loss for training a neural speech waveform model


STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map


STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model


STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction


STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting


STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity


STIPS: The Nancy Grace Roman Space Telescope Imaging Product Simulator


STKDRec: Spatial-Temporal Knowledge Distillation for Takeaway Recommendation


STL-Based Synthesis of Feedback Controllers Using Reinforcement Learning


STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction


STLGame: Signal Temporal Logic Games in Adversarial Multi-Agent Systems


STMDNet: A Lightweight Directional Framework for Motion Pattern Recognition of Tiny Targets


STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition


STMTrack: Template-free Visual Tracking with Space-time Memory Networks


STN PLAD: A Dataset for Multi-Size Power Line Assets Detection in High-Resolution UAV Images


STNN-DDI: A Substructure-aware Tensor Neural Network to Predict Drug-Drug Interactions


STNet: Deep Audio-Visual Fusion Network for Robust Speaker Tracking


STOCHOS: Stochastic Opportunistic Maintenance Scheduling For Offshore Wind Farms


STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model


STOLAS: STOchastic LAttice Simulation of cosmic inflation


STONE: A Submodular Optimization Framework for Active 3D Object Detection


STONE: Self-supervised Tonality Estimator


STONet: A novel neural operator for modeling solute transport in micro-cracked reservoirs


STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions


STORM-BORN: A Challenging Mathematical Derivations Dataset Curated via a Human-in-the-Loop Multi-Agent Framework


STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation


STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning


STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes


STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving


STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset


STPNet: Scale-aware Text Prompt Network for Medical Image Segmentation


STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Following Ahead


STR-GODEs: Spatial-Temporal-Ridership Graph ODEs for Metro Ridership Prediction


STR: a Mathematica package for the method of uniqueness


STRAP: Structured Object Affordance Segmentation with Point Supervision


STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings


STRAW-b (STRings for Absorption length in Water-b): the second pathfinder mission for the Pacific Ocean Neutrino Experiment


STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models


STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings


STREAmS: a high-fidelity accelerated solver for direct numerical simulation of compressible turbulent flow


STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning


STRICT: Stress Test of Rendering Images Containing Text


STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making


STRIDE: Simple Type Recognition In Decompiled Executables


STRIDE: Single-video based Temporally Continuous Occlusion-Robust 3D Pose Estimation


STRIDE: Street View-based Environmental Feature Detection and Pedestrian Collision Prediction


STRIDES: A 3.9 per cent measurement of the Hubble constant from the strongly lensed system DES J0408-5354


STRIP: A Defence Against Trojan Attacks on Deep Neural Networks


STRODE: Stochastic Boundary Ordinary Differential Equation


STRONG -- Structure Controllable Legal Opinion Summary Generation


STRUCTSENSE: A Task-Agnostic Agentic Framework for Structured Information Extraction with Human-In-The-Loop Evaluation and Benchmarking


STSA: Spatial-Temporal Semantic Alignment for Visual Dubbing


STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving


STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks


STTAR: Surgical Tool Tracking using off-the-shelf Augmented Reality Head-Mounted Displays


STUDD: A Student-Teacher Method for Unsupervised Concept Drift Detection


STUN: Self-Teaching Uncertainty Estimation for Place Recognition


STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables


STUPD: A Synthetic Dataset for Spatial and Temporal Relation Reasoning


STW-MD: A Novel Spatio-Temporal Weighting and Multi-Step Decision Tree Method for Considering Spatial Heterogeneity in Brain Gene Expression Data


STWalk: Learning Trajectory Representations in Temporal Graphs


STaKTAU: profiling HPC applications' operating system usage


STaR-GATE: Teaching Language Models to Ask Clarifying Questions


STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation


STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases


STaSy: Score-based Tabular data Synthesis


STable AutoCorrelation Integral Estimator (STACIE): Robust and accurate transport properties from molecular dynamics simulations


STeCa: Step-level Trajectory Calibration for LLM Agent Learning


STeP: A General and Scalable Framework for Solving Video Inverse Problems with Spatiotemporal Diffusion Priors


STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics


STraTA: Self-Training with Task Augmentation for Better Few-shot Learning


STrajNet: Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving


STruD: Truss Decomposition of Simplicial Complexes


SU(3) Clebsch-Gordan coefficients and some of their symmetries


SU-Net: Pose estimation network for non-cooperative spacecraft on-orbit


SU-SAM: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed Scenes


SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised Monocular Depth Estimation


SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems


SUBLLM: A Novel Efficient Architecture with Token Sequence Subsampling for LLM


SUBS: Subtree Substitution for Compositional Semantic Parsing


SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing


SUCRe: Leveraging Scene Structure for Underwater Color Restoration


SUDS: A Strategy for Unsupervised Drift Sampling


SUDS: Sanitizing Universal and Dependent Steganography


SUES-200: A Multi-height Multi-scene Cross-view Image Benchmark Across Drone and Satellite


SUG: Single-dataset Unified Generalization for 3D Point Cloud Classification


SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism


SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations


SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial Transcriptomics


SUM: Saliency Unification through Mamba for Visual Attention Modeling


SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking


SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal Targets


SUMix: Mixup with Semantic and Uncertain Information


SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning


SUNet: Symmetric Undistortion Network for Rolling Shutter Correction


SUP-NeRF: A Streamlined Unification of Pose Estimation and NeRF for Monocular 3D Object Reconstruction


SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients


SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency


SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories


SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization


SUPP.AI: Finding Evidence for Supplement-Drug Interactions


SUPPNet: Neural network for stellar spectrum normalisation


SUPR: A Sparse Unified Part-Based Human Representation


SUPRA: Open Source Software Defined Ultrasound Processing for Real-Time Applications


SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous Driving


SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models


SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning


SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models


SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet Loss for Writer Independent Offline Signature Verification


SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA Tasks


SURE-based Automatic Parameter Selection For ESPIRiT Calibration


SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning


SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics


SURGE: On the Potential of Large Language Models as General-Purpose Surrogate Code Executors


SURIMI: Supervised Radio Map Augmentation with Deep Learning and a Generative Adversarial Network for Fingerprint-based Indoor Positioning


SURT 2.0: Advances in Transducer-based Multi-talker Speech Recognition


SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information


SUSHI: An algorithm for source separation of hyperspectral images with non-stationary spectral variation


SUSTeR: Sparse Unstructured Spatio Temporal Reconstruction on Traffic Prediction


SUSTechGAN: Image Generation for Object Detection in Adverse Conditions of Autonomous Driving


SUSY meets SMEFT: Complete one-loop matching of the general MSSM


SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events


SUTrack: Towards Simple and Unified Single Object Tracking


SUnAA: Sparse Unmixing using Archetypal Analysis


SUperman: Efficient Permanent Computation on GPUs


SV-DRR: High-Fidelity Novel View X-Ray Synthesis Using Diffusion Model


SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis


SVA-ICL: Improving LLM-based Software Vulnerability Assessment via In-Context Learning and Information Fusion


SVAD: From Single Image to 3D Avatar via Synthetic Data Generation with Video Diffusion and Data Augmentation


SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification


SVASTIN: Sparse Video Adversarial Attack via Spatio-Temporal Invertible Neural Networks


SVBR-NET: A Non-Blind Spatially Varying Defocus Blur Removal Network


SVBench: A Benchmark with Temporal Multi-Turn Dialogues for Streaming Video Understanding


SVCNet: Scribble-based Video Colorization Network with Temporal Aggregation


SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction


SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation


SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search


SVD-based Causal Emergence for Gaussian Iterative Systems


SVDC: Consistent Direct Time-of-Flight Video Depth Completion with Frequency Selective Fusion


SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models


SVEva Fair: A Framework for Evaluating Fairness in Speaker Verification


SVFAP: Self-supervised Video Facial Affect Perceiver


SVFR: A Unified Framework for Generalized Video Face Restoration


SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors


SVG-IR: Spatially-Varying Gaussian Splatting for Inverse Rendering


SVG-Net: An SVG-based Trajectory Prediction Model


SVGCraft: Beyond Single Object Text-to-SVG Synthesis with Comprehensive Canvas Layout


SVGEditBench V2: A Benchmark for Instruction-based SVG Editing


SVGEditBench: A Benchmark Dataset for Quantitative Assessment of LLM's SVG Editing Capabilities


SVIA: A Street View Image Anonymization Framework for Self-Driving Applications


SVIP: Sequence VerIfication for Procedures in Videos


SVIPTR: Fast and Efficient Scene Text Recognition with Vision Permutable Extractor


SVIT: Scaling up Visual Instruction Tuning


SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models


SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation


SVRDA: A Web-based Dataset Annotation Tool for Slice-to-Volume Registration


SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem


SVS: Adversarial refinement for sparse novel view synthesis


SVSBI: Sequence-based virtual screening of biomolecular interactions


SViMo: Synchronized Diffusion for Video and Motion Generation in Hand-object Interaction Scenarios


SViTT: Temporal Learning of Sparse Video-Text Transformers


SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI


SWAD: Domain Generalization by Seeking Flat Minima


SWALP : Stochastic Weight Averaging in Low-Precision Training


SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS


SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning


SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient


SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores


SWAT: Spatial Structure Within and Among Tokens


SWCF-Net: Similarity-weighted Convolution and Local-global Fusion for Efficient Large-scale Point Cloud Semantic Segmentation


SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation


SWE-Dev: Evaluating and Training Autonomous Feature-Driven Software Development


SWE-Factory: Your Automated Factory for Issue Resolution Training Data and Evaluation Benchmarks


SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution


SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner


SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?


SWE-PolyBench: A multi-language benchmark for repository level evaluation of coding agents


SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering


SWEAT: Scoring Polarization of Topics across Different Corpora


SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks


SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization


SWFC-ART: A Cost-effective Approach for Fixed-Size-Candidate-Set Adaptive Random Testing through Small World Graphs


SWIFT: Expedited Failure Recovery for Large-scale DNN Training


SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series Forecasting


SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration


SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication


SWIFT: Semantic Watermarking for Image Forgery Thwarting


SWIM: Short-Window CNN Integrated with Mamba for EEG-Based Auditory Spatial Attention Decoding


SWING: Balancing Coverage and Faithfulness for Dialogue Summarization


SWITCH: An Exemplar for Evaluating Self-Adaptive ML-Enabled Systems


SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition


SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents


SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages


SWoTTeD: An Extension of Tensor Decomposition to Temporal Phenotyping


SWtools: A Python module implementing iterative solvers for soliton solutions of nonlinear Schrödinger-type equations


SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data


SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited Scenarios


SYNCS: Synthetic Data and Contrastive Self-Supervised Training for Central Sulcus Segmentation


SYNERgy between SYNaptic consolidation and Experience Replay for general continual learning


SYNFI: Pre-Silicon Fault Analysis of an Open-Source Secure Element


SYNTHEVAL: Hybrid Behavioral Testing of NLP Models with Synthetic CheckLists


SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks


SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis


SYSPART: Automated Temporal System Call Filtering for Binaries


S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction


S^2Former-OR: Single-Stage Bi-Modal Transformer for Scene Graph Generation in OR


SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining


SaENeRF: Suppressing Artifacts in Event-based Neural Radiance Fields


SaGE: Evaluating Moral Consistency in Large Language Models


SaGe: Web Preemption for Public SPARQL Query Services


SaMam: Style-aware State Space Model for Arbitrary Image Style Transfer


SaMoye: Zero-shot Singing Voice Conversion Model Based on Feature Disentanglement and Enhancement


SaRNet: A Dataset for Deep Learning Assisted Search and Rescue with Satellite Imagery


SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles


SaSLaW: Dialogue Speech Corpus with Audio-visual Egocentric Information Toward Environment-adaptive Dialogue Speech Synthesis


SaTor: Satellite Routing in Tor to Reduce Latency


SaViD: Spectravista Aesthetic Vision Integration for Robust and Discerning 3D Object Detection in Challenging Environments


SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices


Sachdev-Ye-Kitaev model on a noisy quantum computer


SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics


Sacrificing information for the greater good: how to select photometric bands for optimal accuracy


Saddle Transport and Chaos in the Double Pendulum


Saddlepoint Monte Carlo and its Application to Exact Ecological Inference


Saddlepoint approximations in binary genome-wide association studies


Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models


Safe Active Learning for Multi-Output Gaussian Processes


Safe Adaptation with Multiplicative Uncertainties Using Robust Safe Set Algorithm


Safe Augmentation: Learning Task-Specific Transformations from Data


Safe Chance Constrained Reinforcement Learning for Batch Process Control


Safe Control Algorithms Using Energy Functions: A Unified Framework, Benchmark, and New Directions


Safe Control Design for Unknown Nonlinear Systems with Koopman-based Fixed-Time Identification


Safe Control Synthesis via Input Constrained Control Barrier Functions


Safe Control Under Input Limits with Neural Control Barrier Functions


Safe Control for Pursuit-Evasion with Density Functions


Safe Control of Grid-Interfacing Inverters with Current Magnitude Limits


Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods


Safe Control with Neural Network Dynamic Models


Safe Coordination of Human-Robot Firefighting Teams


Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces


Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets


Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization


Safe Distributed Control of Multi-Robot Systems with Communication Delays


Safe Distributed Learning-Enhanced Predictive Control for Multiple Quadrupedal Robots


Safe Driving via Expert Guided Policy Optimization


Safe Environmental Envelopes of Discrete Systems


Safe Exploration Method for Reinforcement Learning under Existence of Disturbance


Safe Exploration for Optimizing Contextual Bandits


Safe Exploration in Finite Markov Decision Processes with Gaussian Processes


Safe Feedback Motion Planning: A Contraction Theory and $\mathcal{L}_1$-Adaptive Control Based Approach


Safe Gradient Flow for Bilevel Optimization


Safe Grid Search with Optimal Complexity


Safe Hierarchical Navigation in Crowded Dynamic Uncertain Environments


Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots


Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences


Safe Interaction via Monte Carlo Linear-Quadratic Games


Safe Interval Path Planning With Kinodynamic Constraints


Safe LLM-Controlled Robots with Formal Guarantees via Reachability Analysis


Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models


Safe Learning MPC with Limited Model Knowledge and Data


Safe Learning of Regions of Attraction for Uncertain, Nonlinear Systems with Gaussian Processes


Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models


Safe Low-Altitude Navigation in Steep Terrain with Fixed-Wing Aerial Vehicles


Safe MDP Planning by Learning Temporal Patterns of Undesirable Trajectories and Averting Negative Side Effects


Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning


Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate


Safe Motion Planning for Autonomous Driving using an Adversarial Road Model


Safe Motion Planning for Quadruped Robots Using Density Functions


Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties


Safe Multi-Agent Navigation guided by Goal-Conditioned Safe Reinforcement Learning


Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving


Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients


Safe Navigation in Dynamic Environments using Density Functions


Safe Navigation: Training Autonomous Vehicles using Deep Reinforcement Learning in CARLA


Safe Non-Stochastic Control of Linear Dynamical Systems


Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model


Safe Offline Reinforcement Learning with Real-Time Budget Constraints


Safe PDE Boundary Control with Neural Operators


Safe Paths and Sequences for Scalable ILPs in RNA Transcript Assembly Problems


Safe Policy Optimization with Local Generalized Linear Function Approximations


Safe Pontryagin Differentiable Programming


Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs


Safe Reinforcement Learning Using Advantage-Based Intervention


Safe Reinforcement Learning Using Black-Box Reachability Analysis


Safe Reinforcement Learning Using Robust Control Barrier Functions


Safe Reinforcement Learning by Imagining the Near Future


Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding


Safe Reinforcement Learning in Constrained Markov Decision Processes


Safe Reinforcement Learning of Robot Trajectories in the Presence of Moving Obstacles


Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery


Safe Robot Navigation via Multi-Modal Anomaly Detection


Safe Self-Refinement for Transformer-based Domain Adaptation


Safe Semi-Supervised Learning of Sum-Product Networks


Safe Sequential Testing and Effect Estimation in Stratified Count Data


Safe Trajectory Generation for Complex Urban Environments Using Spatio-temporal Semantic Corridor


Safe Zeroth-Order Optimization Using Quadratic Local Approximations


Safe and Accelerated Deep Reinforcement Learning-based O-RAN Slicing: A Hybrid Transfer Learning Approach


Safe and Adaptive Decision-Making for Optimization of Safety-Critical Systems: The ARTEO Algorithm


Safe and Interpretable Estimation of Optimal Treatment Regimes


Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic Participants


Safe and Reliable Training of Learning-Based Aerospace Controllers


Safe and Robust Observer-Controller Synthesis using Control Barrier Functions


Safe and Robust Watermark Injection with a Single OoD Image


Safe and Sample-efficient Reinforcement Learning for Clustered Dynamic Environments


Safe and Smooth: Certified Continuous-Time Range-Only Localization


Safe and Verified Gomory Mixed Integer Cuts in a Rational MIP Framework


Safe reinforcement learning in uncertain contexts


Safe rules for the identification of zeros in the solutions of the SLOPE problem


Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving


Safe, Optimal, Real-time Trajectory Planning with a Parallel Constrained Bernstein Algorithm


Safe, Seamless, And Scalable Integration Of Asynchronous GPU Streams In PETSc


Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models


Safe-Child-LLM: A Developmental Benchmark for Evaluating LLM Safety in Child-LLM Interactions


Safe-DS: A Domain Specific Language to Make Data Science Safe


Safe-EF: Error Feedback for Nonsmooth Constrained Optimization


Safe-Embed: Unveiling the Safety-Critical Knowledge of Sentence Encoders


Safe-Planner: A Single-Outcome Replanner for Computing Strong Cyclic Policies in Fully Observable Non-Deterministic Domains


Safe-by-Design Control for Euler-Lagrange Systems


Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification


SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies Learned in Simulation


SafeAgentBench: A Benchmark for Safe Task Planning of Embodied LLM Agents


SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance


SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models


SafeChat: A Framework for Building Trustworthy Collaborative Assistants and a Case Study of its Usefulness


SafeComp: Protocol For Certifying Cloud Computations Integrity


SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding


SafeDialBench: A Fine-Grained Safety Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks


SafeDreamer: Safe Reinforcement Learning with World Models


SafeDrones: Real-Time Reliability Evaluation of UAVs using Executable Digital Dependable Identities


SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations


SafeEar: Content Privacy-Preserving Audio Deepfake Detection


SafeGen: Mitigating Sexually Explicit Content Generation in Text-to-Image Models


SafeInfer: Context Adaptive Decoding Time Safety Alignment for Large Language Models


SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control


SafeMERGE: Preserving Safety Alignment in Fine-Tuned Large Language Models via Selective Layer-Wise Model Merging


SafePicking: Learning Safe Object Extraction via Object-Level Mapping


SafePowerGraph: Safety-aware Evaluation of Graph Neural Networks for Transmission Power Grids


SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model


SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models


SafeRoute: Learning to Navigate Streets Safely in an Urban Environment


SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM Agents


SafeSea: Synthetic Data Generation for Adverse & Low Probability Maritime Conditions


SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory Prediction in Autonomous Driving


SafeSpace MFNet: Precise and Efficient MultiFeature Drone Detection Network


SafeWebUH at SemEval-2023 Task 11: Learning Annotator Disagreement in Derogatory Text: Comparison of Direct Training vs Aggregation


SafeguardGS: 3D Gaussian Primitive Pruning While Avoiding Catastrophic Scene Destruction


Safeguarding Crowdsourcing Surveys from ChatGPT with Prompt Injection


Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environment


Safeguarding Text-to-Image Generation via Inference-Time Prompt-Noise Optimization


Safeguarding Vision-Language Models: Mitigating Vulnerabilities to Gaussian Noise in Perturbation-based Attacks


Safer Illinois and RokWall: Privacy Preserving University Health Apps for COVID-19


Safer Reinforcement Learning through Transferable Instinct Networks


Safer-Instruct: Aligning Language Models with Automated Preference Data


Safety Alignment Should Be Made More Than Just a Few Tokens Deep


Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack


Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations


Safety Assessment of Chinese Large Language Models


Safety Assessment of Vehicle Characteristics Variations in Autonomous Driving Systems


Safety Certification for Stochastic Systems via Neural Barrier Functions


Safety Evaluation and Enhancement of DeepSeek Models in Chinese Contexts


Safety Filter Design for Neural Network Systems via Convex Optimization


Safety Filters for Black-Box Dynamical Systems by Learning Discriminating Hyperplanes


Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models


Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions


Safety Layers in Aligned Large Language Models: The Key to LLM Security


Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-tuning


Safety Shielding under Delayed Observation


Safety Subspaces are Not Distinct: A Fine-Tuning Case Study


Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable


Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning


Safety at Scale: A Comprehensive Survey of Large Model Safety


Safety through feedback in Constrained RL


Safety verification of Neural-Network-based controllers: a set invariance approach


Safety-Aware Hybrid Control of Airborne Wind Energy Systems


Safety-Constrained Policy Transfer with Successor Features


Safety-Critical Control and Planning for Obstacle Avoidance between Polytopes with Control Barrier Functions


Safety-Critical Control using Optimal-decay Control Barrier Function with Guaranteed Point-wise Feasibility


Safety-Critical Control with Offline-Online Neural Network Inference


Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function


Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach


Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer


Safety-aware Semi-end-to-end Coordinated Decision Model for Voltage Regulation in Active Distribution Network


SafetyBench: Evaluating the Safety of Large Language Models


SafetyPin: Encrypted Backups with Human-Memorable Secrets


SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety


Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?


Saffron-1: Towards an Inference Scaling Paradigm for LLM Safety Assurance


Sagalee: an Open Source Automatic Speech Recognition Dataset for Oromo Language


SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting


SageMix: Saliency-Guided Mixup for Point Clouds


SageNet: Fast Neural Network Emulation of the Stiff-amplified Gravitational Waves from Inflation


Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion Prior


Saihu: A Common Interface of Worst-Case Delay Analysis Tools for Time-Sensitive Networks


SailCompass: Towards Reproducible and Robust Evaluation for Southeast Asian Languages


SailFFish: A Lightweight, Parallelised Fast Poisson Solver Library


Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models


SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning


SalM$2$: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention


SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation


SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation


SalesBot: Transitioning from Chit-Chat to Task-Oriented Dialogues


Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data


Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems


SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving


SalienTime: User-driven Selection of Salient Time Steps for Large-Scale Geospatial Data Visualization


Salience Allocation as Guidance for Abstractive Summarization


Saliency Attack: Towards Imperceptible Black-box Adversarial Attack


Saliency Cards: A Framework to Characterize and Compare Saliency Methods


Saliency Detection by Forward and Backward Cues in Deep-CNNs


Saliency Guided Experience Packing for Replay in Continual Learning


Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation


Saliency Guided Self-attention Network for Weakly and Semi-supervised Semantic Segmentation


Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods


Saliency Map-based Image Retrieval using Invariant Krawtchouk Moments


Saliency Maps are Ambiguous: Analysis of Logical Relations on First and Second Order Attributions


Saliency Suppressed, Semantics Surfaced: Visual Transformations in Neural Networks and the Brain


Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions


Saliency detection based on structural dissimilarity induced by image quality assessment model


Saliency is a Possible Red Herring When Diagnosing Poor Generalization


Saliency-Augmented Memory Completion for Continual Learning


Saliency-Aware Diffusion Reconstruction for Effective Invisible Watermark Removal


Saliency-Guided DETR for Moment Retrieval and Highlight Detection


Saliency-Guided Hidden Associative Replay for Continual Learning


Saliency-Regularized Deep Multi-Task Learning


Saliency-aware Stereoscopic Video Retargeting


SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization


Salient Building Outline Enhancement and Extraction Using Iterative L0 Smoothing and Line Enhancing


Salient Feature Extractor for Adversarial Defense on Deep Neural Networks


Salient ImageNet: How to discover spurious features in Deep Learning?


Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization


Salient Mask-Guided Vision Transformer for Fine-Grained Classification


Salient Object Detection From Arbitrary Modalities


Salient Object Detection for Point Clouds


Salient Object Detection in Optical Remote Sensing Images Driven by Transformer


Salient Object Detection in the Deep Learning Era: An In-Depth Survey


Salient Object Detection via Dynamic Scale Routing


Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss


Salient Object Ranking with Position-Preserved Attention


Salient Object-Aware Background Generation using Text-Guided Diffusion Models


Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?


Salient Positions based Attention Network for Image Classification


Salient Region Matching for Fully Automated MR-TRUS Registration


SalientDSO: Bringing Attention to Direct Sparse Odometry


SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging


Sallow: a heuristic algorithm for treedepth decompositions


Salp Swarm Optimization: a Critical Review


Salt Reconstruction in Full Waveform Inversion with a Parametric Level-Set Method


Salt-bearing disk candidates around high-mass young stellar objects


Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing


SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes


Saltire -- A model to measure dynamical masses for high-contrast binaries and exoplanets with high-resolution spectroscopy


Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications


Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models


Salvage Reusable Samples from Noisy Data for Robust Learning


Sam-Guided Enhanced Fine-Grained Encoding with Mixed Semantic Learning for Medical Image Captioning


SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation


SamLP: A Customized Segment Anything Model for License Plate Detection


SamWalker++: recommendation with informative sampling strategy


Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model


Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling


SambaMixer: State of Health Prediction of Li-ion Batteries using Mamba State Space Models


Same Cause; Different Effects in the Brain


Same Coverage, Less Bloat: Accelerating Binary-only Fuzzing with Coverage-preserving Coverage-guided Tracing


Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance


Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data


Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection


Same State, Different Task: Continual Reinforcement Learning without Interference


Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs


Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models


Same or Different? Diff-Vectors for Authorship Analysis


Sameness Entices, but Novelty Enchants in Fanfiction Online


Samoyeds: Accelerating MoE Models with Structured Sparsity Leveraging Sparse Tensor Cores


Sample Attackability in Natural Language Adversarial Attacks


Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors


Sample Complexity Bounds for Linear System Identification from a Finite Set


Sample Complexity of Linear Regression Models for Opinion Formation in Networks


Sample Complexity of Robust Reinforcement Learning with a Generative Model


Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses


Sample Condensation in Online Continual Learning


Sample Constrained Treatment Effect Estimation


Sample Correlation for Fingerprinting Deep Face Recognition


Sample Design Engineering: An Empirical Study of What Makes Good Downstream Fine-Tuning Samples for LLMs


Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization


Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization


Sample Efficient Bayesian Learning of Causal Graphs from Interventions


Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation


Sample Efficient Demonstration Selection for In-Context Learning


Sample Efficient Ensemble Learning with Catalyst.RL


Sample Efficient Graph-Based Optimization with Noisy Observations


Sample Efficient Learning of Predictors that Complement Humans


Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees


Sample Efficient Preference Alignment in LLMs via Active Exploration


Sample Efficient Reinforcement Learning via Large Vision Language Model Distillation


Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation


Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge


Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration


Sample Motion for Structured Illumination Fluorescence Microscopy


Sample Prior Guided Robust Model Learning to Suppress Noisy Labels


Sample Selection Bias in Evaluation of Prediction Performance of Causal Models


Sample Selection Bias in Machine Learning for Healthcare


Sample Size Calculation for Active-Arm Trial with Counterfactual Incidence Based on Recency Assay


Sample Weight Estimation Using Meta-Updates for Online Continual Learning


Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation


Sample and Expand: Discovering Low-rank Submatrices With Quality Guarantees


Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation


Sample importance for data-driven decoding


Sample size calculations for n-of-1 trials


Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome


Sample size determination via learning-type curves


Sample size estimation for comparing dynamic treatment regimens in a SMART: a Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes


Sample space filling analysis for boson sampling validation


Sample weighting as an explanation for mode collapse in generative adversarial networks


Sample, estimate, aggregate: A recipe for causal discovery foundation models


Sample- and Parameter-Efficient Auto-Regressive Image Models


Sample-Driven Federated Learning for Energy-Efficient and Real-Time IoT Sensing


Sample-Efficient Automated Deep Reinforcement Learning


Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces


Sample-Efficient Diffusion for Text-To-Speech Synthesis


Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition


Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models


Sample-Efficient Learning of Novel Visual Concepts


Sample-Efficient Learning to Solve a Real-World Labyrinth Game Using Data-Augmented Model-Based Reinforcement Learning


Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics


Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining


Sample-Efficient Reinforcement Learning with Temporal Logic Objectives: Leveraging the Task Specification to Guide Exploration


Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks


Sample-Then-Optimize Batch Neural Thompson Sampling


Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions


Sample-and-Bound for Non-Convex Optimization


Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent


Sample-based and Feature-based Federated Learning for Unconstrained and Constrained Nonconvex Optimization via Mini-batch SSCA


Sample-constrained partial identification with application to selection bias


Sample-dependent Adaptive Temperature Scaling for Improved Calibration


Sample-efficient Cross-Entropy Method for Real-time Planning


Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems


Sample-efficient Multi-objective Molecular Optimization with GFlowNets


Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning


Sample-efficient estimation of entanglement entropy through supervised learning


Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs


Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms


Sample-specific Masks for Visual Reprogramming-based Prompting


Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation


SampleNet: Differentiable Point Cloud Sampling


Sampled-data implementation of derivative-dependent control using artificial delays


Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning


Sampling Agnostic Feature Representation for Long-Term Person Re-identification


Sampling Algorithms for Butterfly Counting on Temporal Bipartite Graphs


Sampling Enclosing Subgraphs for Link Prediction


Sampling Finite Unit Norm Tight Frames Using Symplectic Geometry


Sampling Frequency Thresholds for Quantum Advantage of Quantum Approximate Optimization Algorithm


Sampling Groups of Pauli Operators to Enhance Direct Fidelity Estimation


Sampling Innovation-Based Adaptive Compressive Sensing


Sampling Methods for Inner Product Sketching


Sampling Multiple Nodes in Large Networks: Beyond Random Walks


Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration


Sampling Neural Radiance Fields for Refractive Objects


Sampling Requirements and Accelerated Schemes for Sparse Linear Regression with Orthogonal Least-Squares


Sampling Sketches for Concave Sublinear Functions of Frequencies


Sampling Techniques in Bayesian Target Encoding


Sampling Theory for Function Approximation with Numerical Redundancy


Sampling Theory for Super-Resolution with Implicit Neural Representations


Sampling Using Neural Networks for colorizing the grayscale images


Sampling a Near Neighbor in High Dimensions -- Who is the Fairest of Them All?


Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks


Sampling asymmetric open quantum systems for artificial neural networks


Sampling first-passage times of fractional Brownian Motion using adaptive bisections


Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics


Sampling from Binary Quadratic Distributions via Stochastic Localization


Sampling from Stochastic Finite Automata with Applications to CTC Decoding


Sampling from Your Language Model One Byte at a Time


Sampling from high-dimensional, multimodal distributions using automatically tuned, tempered Hamiltonian Monte Carlo


Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC


Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent


Sampling in Unit Time with Kernel Fisher-Rao Flow


Sampling inverse subordinators and subdiffusions


Sampling is Matter: Point-guided 3D Human Mesh Reconstruction


Sampling lattice points in a polytope: a Bayesian biased algorithm with random updates


Sampling low-fidelity outputs for estimation of high-fidelity density and its tails


Sampling metastable systems using collective variables and Jarzynski-Crooks paths


Sampling possible reconstructions of undersampled acquisitions in MR imaging


Sampling random graph homomorphisms and applications to network data analysis


Sampling random graphs with specified degree sequences


Sampling rate-corrected analysis of irregularly sampled time series


Sampling real algebraic varieties for topological data analysis


Sampling the Swadesh List to Identify Similar Languages with Tree Spaces


Sampling the eigenvalues of random orthogonal and unitary matrices


Sampling the full hierarchical population posterior distribution in gravitational-wave astronomy


Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows


Sampling to Achieve the Goal: An Age-aware Remote Markov Decision Process


Sampling triangulations of manifolds using Monte Carlo methods


Sampling with Mollified Interaction Energy Descent


Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space


Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective


Sampling with time-changed Markov processes


Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation


Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks


Sampling-Based Motion Planning on Sequenced Manifolds


Sampling-Based Motion Planning with Online Racing Line Generation for Autonomous Driving on Three-Dimensional Race Tracks


Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation


Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method


Sampling-based Continuous Optimization with Coupled Variables for RNA Design


Sampling-based Estimation of the Number of Distinct Values in Distributed Environment


Sampling-based Incremental Information Gathering with Applications to Robotic Exploration and Environmental Monitoring


Sampling-based Model Predictive Control Leveraging Parallelizable Physics Simulations


Sampling-based Polytopic Trees for Approximate Optimal Control of Piecewise Affine Systems


Sampling-based Pseudo-Likelihood for Membership Inference Attacks


Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems


Sampling-based inference for large linear models, with application to linearised Laplace


Sampling-based techniques for designing school boundaries


SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution


Samudra: An AI Global Ocean Emulator for Climate


Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity


Sandwich Boosting for Accurate Estimation in Partially Linear Models for Grouped Data


Sandwich cellularity and a version of cell theory


Sandwich regression for accurate and robust estimation in generalized linear multilevel and longitudinal models


Sandwiched Compression: Repurposing Standard Codecs with Neural Network Wrappers


Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs


Sanitized Clustering against Confounding Bias


Sanity Checking Causal Representation Learning on a Simple Real-World System


Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?


SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation Purposes


Sapphire++: A particle transport code combining a spherical harmonic expansion and the discontinuous Galerkin method


Sarc-Graph: Automated segmentation, tracking, and analysis of sarcomeres in hiPSC-derived cardiomyocytes


SarcNet: A Novel AI-based Framework to Automatically Analyze and Score Sarcomere Organizations in Fluorescently Tagged hiPSC-CMs


Sarcasm Detection in Twitter -- Performance Impact while using Data Augmentation: Word Embeddings


Sarcasm Detection in a Less-Resourced Language


Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation


Sasaki Metric for Spline Models of Manifold-Valued Trajectories


SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery


SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion Models


SatDepth: A Novel Dataset for Satellite Image Matching


SatHealth: A Multimodal Public Health Dataset with Satellite-based Environmental Factors


SatLM: Satisfiability-Aided Language Models Using Declarative Prompting


SatMamba: Development of Foundation Models for Remote Sensing Imagery Using State Space Models


SatVision-TOA: A Geospatial Foundation Model for Coarse-Resolution All-Sky Remote Sensing Imagery


Satellite Constellation Avoidance with the Rubin Observatory Legacy Survey of Space and Time


Satellite Image Time Series Analysis for Big Earth Observation Data


Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention


Satellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain Shift


Satellite Imagery and AI: A New Era in Ocean Conservation, from Research to Deployment and Impact


Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement


Satellite galaxy abundance dependency on cosmology in Magneticum simulations


Satellite monitoring of annual US landfill methane emissions and trends


Satellite-based high-resolution maps of cocoa planted area for Côte d'Ivoire and Ghana


Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities


Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features


Satisfiability transition in asymmetric neural networks


SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding


Sato: Contextual Semantic Type Detection in Tables


Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software Engineering


Satori: Towards Proactive AR Assistant with Belief-Desire-Intention User Modeling


Saturable Purcell filter for circuit quantum electrodynamics


Saturated Fully Leafed Tree-Like Polyforms and Polycubes


Saturating the Maximum Success Probability Bound for Noiseless Linear Amplification using Linear Optics


Saturation-Aware Angular Velocity Estimation: Extending the Robustness of SLAM to Aggressive Motions


Saturn's Atmosphere in Northern Summer Revealed by JWST/MIRI


Saturn: An Optimized Data System for Large Model Deep Learning Workloads


Satyrn: A Platform for Analytics Augmented Generation


SaudiBERT: A Large Language Model Pretrained on Saudi Dialect Corpora


Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruning


Sausage Instabilities on Top of Kinking Lengthening Current-Carrying Magnetic Flux Tubes


SauvolaNet: Learning Adaptive Sauvola Network for Degraded Document Binarization


Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Block Gradient Descent


Saved You A Click: Automatically Answering Clickbait Titles


Saving Dense Retriever from Shortcut Dependency in Conversational Search


Saving proof-of-work by hierarchical block structure


Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network


Say Anything: Automatic Semantic Infelicity Detection in L2 English Indefinite Pronouns


Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression


Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information


Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge


SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments


SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales


Saying No is An Art: Contextualized Fallback Responses for Unanswerable Dialogue Queries


ScAN: Suicide Attempt and Ideation Events Dataset


ScEdit: Script-based Assessment of Knowledge Editing


ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation?


ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data


ScVLM: Enhancing Vision-Language Model for Safety-Critical Event Understanding


ScaDLES: Scalable Deep Learning over Streaming data at the Edge


ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale


ScaffCC: Scalable Compilation and Analysis of Quantum Programs


Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up


Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering


Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models


ScalSALE: Scalable SALE Benchmark Framework for Supercomputers


ScalaBFS: A Scalable BFS Accelerator on HBM-Enhanced FPGAs


Scalability and robustness of spectral embedding: landmark diffusion is all you need


Scalable 3D Registration via Truncated Entry-wise Absolute Residuals


Scalable Adversarial Online Continual Learning


Scalable Aerial GNSS Localization for Marine Robots


Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks


Scalable Algorithms for 2-Packing Sets on Arbitrary Graphs


Scalable Algorithms for Bicriterion Trip-Based Transit Routing


Scalable Algorithms for Learning High-Dimensional Linear Mixed Models


Scalable Anytime Algorithms for Learning Fragments of Linear Temporal Logic


Scalable Application- and User-aware Resource Allocation in Enterprise Networks Using End-host Pacing


Scalable Approximate Algorithms for Optimal Transport Linear Models


Scalable Approximation Algorithm for Graph Summarization


Scalable Attack on Graph Data by Injecting Vicious Nodes


Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding


Scalable Autoregressive Image Generation with Mamba


Scalable BFT Consensus Mechanism Through Aggregated Signature Gossip


Scalable Batch Acquisition for Deep Bayesian Active Learning


Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing


Scalable Bayesian Image-on-Scalar Regression for Population-Scale Neuroimaging Data Analysis


Scalable Bayesian Inference for Excitatory Point Process Networks


Scalable Bayesian Inference for the Inverse Temperature of a Hidden Potts Model


Scalable Bayesian Inverse Reinforcement Learning


Scalable Bayesian Learning with posteriors


Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference


Scalable Bayesian Meta-Learning through Generalized Implicit Gradients


Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes


Scalable Bayesian Semiparametric Additive Regression Models For Microbiome Studies


Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis


Scalable Bayesian divergence time estimation with ratio transformations


Scalable Bayesian high-dimensional local dependence learning


Scalable Bayesian inference for heat kernel Gaussian processes on manifolds


Scalable Bayesian inference for time series via divide-and-conquer


Scalable Bayesian neural networks by layer-wise input augmentation


Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks


Scalable Bayesian transport maps for high-dimensional non-Gaussian spatial fields


Scalable Best-of-N Selection for Large Language Models via Self-Certainty


Scalable Bigraphical Lasso: Two-way Sparse Network Inference for Count Data


Scalable Bilevel Optimization for Generating Maximally Representative OPF Datasets


Scalable Certified Segmentation via Randomized Smoothing


Scalable Chain of Thoughts via Elastic Reasoning


Scalable Classifier-Agnostic Channel Selection for Multivariate Time Series Classification


Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching


Scalable Community Detection via Parallel Correlation Clustering


Scalable Computation of $\mathcal{H}_\infty$ Energy Functions for Polynomial Drift Nonlinear Systems


Scalable Computation of Energy Functions for Nonlinear Balanced Truncation


Scalable Computations for Generalized Mixed Effects Models with Crossed Random Effects Using Krylov Subspace Methods


Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation


Scalable Cosmic AI Inference using Cloud Serverless Computing with FMI


Scalable Counting of Minimal Trap Spaces and Fixed Points in Boolean Networks


Scalable Coupling of Deep Learning with Logical Reasoning


Scalable Coverage Path Planning of Multi-Robot Teams for Monitoring Non-Convex Areas


Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs


Scalable Cross-lingual Document Similarity through Language-specific Concept Hierarchies


Scalable Crystal Structure Relaxation Using an Iteration-Free Deep Generative Model with Uncertainty Quantification


Scalable Data Ablation Approximations for Language Models through Modular Training and Merging


Scalable Data Annotation Pipeline for High-Quality Large Speech Datasets Development


Scalable Data Assimilation with Message Passing


Scalable Data Point Valuation in Decentralized Learning


Scalable De Novo Genome Assembly Using Pregel


Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction


Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems


Scalable Deep Gaussian Markov Random Fields for General Graphs


Scalable Deep Learning for RNA Secondary Structure Prediction


Scalable Density-based Clustering with Random Projections


Scalable Derivative-Free Optimization Algorithms with Low-Dimensional Subspace Techniques


Scalable Diffusion Models with State Space Backbone


Scalable Discovery and Continuous Inventory of Personal Data at Rest in Cloud Native Systems


Scalable Distributed Approximation of Internal Measures for Clustering Evaluation


Scalable Diverse Model Selection for Accessible Transfer Learning


Scalable Double Regularization for 3D Nano-CT Reconstruction


Scalable Educational Question Generation with Pre-trained Language Models


Scalable Efficient Inference in Complex Surveys through Targeted Resampling of Weights


Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention


Scalable End-to-end Recurrent Neural Network for Variable star classification


Scalable Evaluation Framework for Foundation Models in Musculoskeletal MRI Bridging Computational Innovation with Clinical Utility


Scalable Evaluation and Improvement of Document Set Expansion via Neural Positive-Unlabeled Learning


Scalable Evaluation of Online Facilitation Strategies via Synthetic Simulation of Discussions


Scalable Exact Inference in Multi-Output Gaussian Processes


Scalable Expressiveness through Preprocessed Graph Perturbations


Scalable Fact-checking with Human-in-the-Loop


Scalable Feature Matching Across Large Data Collections


Scalable Fine-Grained Parallel Cycle Enumeration Algorithms


Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach


Scalable Fitting Methods for Multivariate Gaussian Additive Models with Covariate-dependent Covariance Matrices


Scalable Framework for Classifying AI-Generated Content Across Modalities


Scalable Frank-Wolfe on Generalized Self-concordant Functions via Simple Steps


Scalable GWR: A linear-time algorithm for large-scale geographically weighted regression with polynomial kernels


Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods


Scalable Gaussian Process Computations Using Hierarchical Matrices


Scalable Gaussian Process Inference with Stan


Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition


Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)


Scalable Gaussian-process regression and variable selection using Vecchia approximations


Scalable Generalized Dynamic Topic Models


Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers


Scalable Geometric Learning with Correlation-Based Functional Brain Networks


Scalable Global Optimization via Local Bayesian Optimization


Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters


Scalable Graph Networks for Particle Simulations


Scalable Graph Neural Networks via Bidirectional Propagation


Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching


Scalable Hierarchical Clustering with Tree Grafting


Scalable Hypergraph Structure Learning with Diverse Smoothness Priors


Scalable Hyperparameter Optimization with Lazy Gaussian Processes


Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM


Scalable Importance Sampling in High Dimensions with Low-Rank Mixture Proposals


Scalable Importance Tempering and Bayesian Variable Selection


Scalable Incomplete Multi-View Clustering with Structure Alignment


Scalable Influence and Fact Tracing for Large Language Model Pretraining


Scalable Intervention Target Estimation in Linear Models


Scalable Kernel Logistic Regression with Nyström Approximation: Theoretical Analysis and Application to Discrete Choice Modelling


Scalable Label Distribution Learning for Multi-Label Classification


Scalable Label Propagation for Multi-relational Learning on the Tensor Product of Graphs


Scalable Label-efficient Footpath Network Generation Using Remote Sensing Data and Self-supervised Learning


Scalable Language Model with Generalized Continual Learning


Scalable Learning of Item Response Theory Models


Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI


Scalable Log Determinants for Gaussian Process Kernel Learning


Scalable Lévy Process Priors for Spectral Kernel Learning


Scalable Machine Learning Architecture for Neonatal Seizure Detection on Ultra-Edge Devices


Scalable Machine Translation in Memory Constrained Environments


Scalable Manifold Learning for Big Data with Apache Spark


Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning


Scalable Marked Point Processes for Exchangeable and Non-Exchangeable Event Sequences


Scalable Mask Annotation for Video Text Spotting


Scalable Measurement Error Mitigation via Iterative Bayesian Unfolding


Scalable Mechanism Design for Multi-Agent Path Finding


Scalable Mechanistic Neural Networks for Differential Equations and Machine Learning


Scalable Method for Linear Optimization of Industrial Processes


Scalable Methods for 8-bit Training of Neural Networks


Scalable Methods for Brick Kiln Detection and Compliance Monitoring from Satellite Imagery: A Deployment Case Study in India


Scalable Methods for Computing Sharp Extreme Event Probabilities in Infinite-Dimensional Stochastic Systems


Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets


Scalable Model Editing via Customized Expert Networks


Scalable Model Merging with Progressive Layer-wise Distillation


Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma


Scalable Models for Computing Hierarchies in Information Networks


Scalable Motif Counting for Large-scale Temporal Graphs


Scalable Multi-Agent Lab Framework for Lab Optimization


Scalable Multi-Agent Model-Based Reinforcement Learning


Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers


Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation