S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous Driving


S2WAT: Image Style Transfer via Hierarchical Vision Transformer using Strips Window Attention


S2abEL: A Dataset for Entity Linking from Scientific Tables


S2malloc: Statistically Secure Allocator for Use-After-Free Protection And More


S3: A Simple Strong Sample-effective Multimodal Dialog System


S3AND: Efficient Subgraph Similarity Search Under Aggregated Neighbor Difference Semantics (Technical Report)


S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning


S3CE-Net: Spike-guided Spatiotemporal Semantic Coupling and Expansion Network for Long Sequence Event Re-Identification


S3D: Single Shot multi-Span Detector via Fully 3D Convolutional Networks


S3E: A Multi-Robot Multimodal Dataset for Collaborative SLAM


S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document


S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences


S3M: Siamese Stack (Trace) Similarity Measure


S3NAS: Fast NPU-aware Neural Architecture Search Methodology


S3Net: Innovating Stereo Matching and Semantic Segmentation with a Single-Branch Semantic Stereo Network in Satellite Epipolar Imagery


S3R-Net: A Single-Stage Approach to Self-Supervised Shadow Removal


S4ConvD: Adaptive Scaling and Frequency Adjustment for Energy-Efficient Sensor Networks in Smart Buildings


S4D: Streaming 4D Real-World Reconstruction with Gaussians and 3D Control Points


S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes


S4NN: temporal backpropagation for spiking neural networks with one spike per neuron


S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models


S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning


SA$^2$VP: Spatially Aligned-and-Adapted Visual Prompt


SA-Attack: Speed-adaptive stealthy adversarial attack on trajectory prediction


SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection


SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks


SA-DS: A Dataset for Large Language Model-Driven AI Accelerator Design Generation


SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders


SA-Det3D: Self-Attention Based Context-Aware 3D Object Detection


SA-GAT-SR: Self-Adaptable Graph Attention Networks with Symbolic Regression for high-fidelity material property prediction


SA-GNAS: Seed Architecture Expansion for Efficient Large-scale Graph Neural Architecture Search


SA-GS: Scale-Adaptive Gaussian Splatting for Training-Free Anti-Aliasing


SA-LUT: Spatial Adaptive 4D Look-Up Table for Photorealistic Style Transfer


SA-Occ: Satellite-Assisted 3D Occupancy Prediction in Real World


SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models


SA2-Net: Scale-aware Attention Network for Microscopic Image Segmentation


SA3DIP: Segment Any 3D Instance with Potential 3D Priors


SA4U: Practical Static Analysis for Unit Type Error Detection


SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots


SABER: Model-agnostic Backdoor Attack on Chain-of-Thought in Neural Code Generation


SABLAS: Learning Safe Control for Black-box Dynamical Systems


SAC-GAN: Structure-Aware Image Composition


SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency


SACB-Net: Spatial-awareness Convolutions for Medical Image Registration


SACHA: Soft Actor-Critic with Heuristic-Based Attention for Partially Observable Multi-Agent Path Finding


SACM: SEEG-Audio Contrastive Matching for Chinese Speech Decoding


SAD Neural Networks: Divergent Gradient Flows and Asymptotic Optimality via o-minimal Structures


SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs


SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications


SADA: Semantic adversarial unsupervised domain adaptation for Temporal Action Localization


SADAS: A Dialogue Assistant System Towards Remediating Norm Violations in Bilingual Socio-Cultural Conversations


SADDE: Semi-supervised Anomaly Detection with Dependable Explanations


SADG: Segment Any Dynamic Gaussian Without Object Trackers


SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation


SADN: Learned Light Field Image Compression with Spatial-Angular Decorrelation


SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction


SADT: Combining Sharpness-Aware Minimization with Self-Distillation for Improved Model Generalization


SAEs Are Good for Steering -- If You Select the Right Features


SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability


SAFARI: a Scalable Air-gapped Framework for Automated Ransomware Investigation


SAFE-MEME: Structured Reasoning Framework for Robust Hate Speech Detection in Memes


SAFE-SiP: Secure Authentication Framework for System-in-Package Using Multi-party Computation


SAFE: A Declarative Trust Management System with Linked Credentials


SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection


SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models


SAFE: a SAR Feature Extractor based on self-supervised learning and masked Siamese ViTs


SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions


SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation


SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AI


SAFETY-J: Evaluating Safety with Critique


SAFETY: Secure gwAs in Federated Environment Through a hYbrid solution with Intel SGX and Homomorphic Encryption


SAFFRON: an adaptive algorithm for online control of the false discovery rate


SAFIN: Arbitrary Style Transfer With Self-Attentive Factorized Instance Normalization


SAFL: A Self-Attention Scene Text Recognizer with Focal Loss


SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging


SAFR: Neuron Redistribution for Interpretability


SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images


SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers


SAGA: A Participant-specific Examination of Story Alternatives and Goal Applicability for a Deeper Understanding of Complex Events


SAGA: Spectral Adversarial Geometric Attack on 3D Meshes


SAGAN: Adversarial Spatial-asymmetric Attention for Noisy Nona-Bayer Reconstruction


SAGC-A68: a space access graph dataset for the classification of spaces and space elements in apartment buildings


SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition


SAGDA: Open-Source Synthetic Agriculture Data for Africa


SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting


SAGE -- A Tool for Optimal Deployments in Kubernetes Clusters


SAGE-Amine: Generative Amine Design with Multi-Property Optimization for Efficient CO2 Capture


SAGE-ICP: Semantic Information-Assisted ICP


SAGE: Exploring the Boundaries of Unsafe Concept Domain with Semantic-Augment Erasing


SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning


SAGE: Intrusion Alert-driven Attack Graph Extractor


SAGE: SLAM with Appearance and Geometry Prior for Endoscopy


SAGE: Software-based Attestation for GPU Execution


SAGE: Steering and Refining Dialog Generation with State-Action Augmentation


SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration


SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection


SAGHOG: Self-Supervised Autoencoder for Generating HOG Features for Writer Retrieval


SAGraph: A Large-Scale Social Graph Dataset with Comprehensive Context for Influencer Selection in Marketing


SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation


SAH: Shifting-aware Asymmetric Hashing for Reverse $k$-Maximum Inner Product Search


SAIL: Sample-Centric In-Context Learning for Document Information Extraction


SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval


SAILOR: Perceptual Anchoring For Robotic Cognitive Architectures


SAILOR: Scaling Anchors via Insights into Latent Object Representation


SAILOR: Structural Augmentation Based Tail Node Representation Learning


SAIN: Self-Attentive Integration Network for Recommendation


SAINT: Attention-Based Modeling of Sub-Action Dependencies in Multi-Action Policies


SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic Paradigm


SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction


SAISA: Towards Multimodal Large Language Models with Both Training and Inference Efficiency


SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models


SALAD: Skeleton-aware Latent Diffusion for Text-driven Motion Generation and Editing


SALAD: Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection


SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling


SALI: A Scalable Adaptive Learned Index Framework based on Probability Models


SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation


SALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition


SALM: A Multi-Agent Framework for Language Model-Driven Social Network Simulation


SALMON: Self-Alignment with Instructable Reward Models


SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning


SALSA-Lite: A Fast and Effective Feature for Polyphonic Sound Event Localization and Detection with Microphone Arrays


SALSA: Speedy ASR-LLM Synchronous Aggregation


SALSA: Swift Adaptive Lightweight Self-Attention for Enhanced LiDAR Place Recognition


SALT3: An Improved Type Ia Supernova Model for Measuring Cosmic Distances


SALT: A Flexible Semi-Automatic Labeling Tool for General LiDAR Point Clouds with Cross-Scene Adaptability and 4D Consistency


SALT: Distinguishable Speaker Anonymization Through Latent Space Transformation


SALT: Introducing a Framework for Hierarchical Segmentations in Medical Imaging using Softmax for Arbitrary Label Trees


SALT: Sales Autocompletion Linked Business Tables Dataset


SALT: Singular Value Adaptation with Low-Rank Transformation


SALT: Standardized Audio event Label Taxonomy


SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation


SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas


SAM & SAM 2 in 3D Slicer: SegmentWithSAM Extension for Annotating Medical Images


SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical Segmentation


SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation


SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation


SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation


SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation


SAM-Deblur: Let Segment Anything Boost Image Deblurring


SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution


SAM-FNet: SAM-Guided Fusion Network for Laryngo-Pharyngeal Tumor Detection


SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation


SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training Cost


SAM-IQA: Can Segment Anything Boost Image Quality Assessment?


SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification


SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation


SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting Anything in Videos by Prompt Denoising


SAM-PM: Enhancing Video Camouflaged Object Detection using Spatio-Temporal Attention


SAM-Swin: SAM-Driven Dual-Swin Transformers with Adaptive Lesion Enhancement for Laryngo-Pharyngeal Tumor Detection


SAM-UNet:Enhancing Zero-Shot Segmentation of SAM for Universal Medical Images


SAM-helps-Shadow:When Segment Anything Model meet shadow removal


SAM-kNN Regressor for Online Learning in Water Distribution Networks


SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided Prompting


SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation


SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation


SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree


SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners


SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model


SAM4EM: Efficient memory-based two stage prompt-free segment anything model adapter for complex 3D neuroscience electron microscopy stacks


SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation


SAM4UDASS: When SAM Meets Unsupervised Domain Adaptive Semantic Segmentation in Intelligent Vehicles


SAM: A Modular Framework for Self-Adapting Web Menus


SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning


SAMA-UNet: Enhancing Medical Image Segmentation with Self-Adaptive Mamba-Like Attention and Causal-Resonance Learning


SAMAug: Point Prompt Augmentation for Segment Anything Model


SAMBA: A Trainable Segmentation Web-App with Smart Labelling


SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts


SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid


SAME: Learning Generic Language-Guided Visual Navigation with State-Adaptive Mixture of Experts


SAME: Sample Reconstruction against Model Extraction Attacks


SAMF: Small-Area-Aware Multi-focus Image Fusion for Object Detection


SAMIHS: Adaptation of Segment Anything Model for Intracranial Hemorrhage Segmentation


SAML: Speaker Adaptive Mixture of LoRA Experts for End-to-End ASR


SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation


SAMO: Optimised Mapping of Convolutional Neural Networks to Streaming Architectures


SAMO: Speaker Attractor Multi-Center One-Class Learning for Voice Anti-Spoofing


SAMP: Shape and Motion Priors for 4D Vehicle Reconstruction


SAMPa: Sharpness-aware Minimization Parallelized


SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Scene Segmentation


SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement


SAMScore: A Content Structural Similarity Metric for Image Translation Evaluation


SAMSelect: A Spectral Index Search for Marine Debris Visualization using Segment Anything


SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video Segmentation


SAMamba: Adaptive State Space Modeling with Hierarchical Vision for Infrared Small Target Detection


SAMed-2: Selective Memory Enhanced Medical Segment Anything Model


SAN-Net: Learning Generalization to Unseen Sites for Stroke Lesion Segmentation with Self-Adaptive Normalization


SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning


SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer


SAN: Structure-Aware Network for Complex and Long-tailed Chinese Text Recognition


SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization


SANDRO: a Robust Solver with a Splitting Strategy for Point Cloud Registration


SANDWiCH: Semantical Analysis of Neighbours for Disambiguating Words in Context ad Hoc


SANGAM: SystemVerilog Assertion Generation via Monte Carlo Tree Self-Refine


SANGEET: A XML based Open Dataset for Research in Hindustani Sangeet


SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms


SANM: A Symbolic Asymptotic Numerical Solver with Applications in Mesh Deformation


SANS: Self-sovereign Authentication for Network Slices


SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation


SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition


SANTOS: Relationship-based Semantic Table Union Search


SAP Signavio Academic Models: A Large Process Model Dataset


SAP-CoPE: Social-Aware Planning using Cooperative Pose Estimation with Infrastructure Sensor Nodes


SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency


SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness


SAPIEN: A SimulAted Part-based Interactive ENvironment


SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search


SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining


SAR Despeckling Using Overcomplete Convolutional Networks


SAR Despeckling using a Denoising Diffusion Probabilistic Model


SAR Image Classification Based on Spiking Neural Network through Spike-Time Dependent Plasticity and Gradient Descent


SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy


SAR-UNet: Small Attention Residual UNet for Explainable Nowcasting Tasks


SAR-based landslide classification pretraining leads to better segmentation


SARABANDE: 3/4 Point Correlation Functions with Fast Fourier Transforms


SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection


SARATR-X: Toward Building A Foundation Model for SAR Target Recognition


SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation


SARDINE: A Simulator for Automated Recommendation in Dynamic and Interactive Environments


SARG: A Novel Semi Autoregressive Generator for Multi-turn Incomplete Utterance Restoration


SARI: Shared Autonomy across Repeated Interaction


SARLANG-1M: A Benchmark for Vision-Language Modeling in SAR Image Understanding


SARN: Structurally-Aware Recurrent Network for Spatio-Temporal Disaggregation


SARNet: Semantic Augmented Registration of Large-Scale Urban Point Clouds


SARS-CoV-2 Transmission in University Classes


SART - Similarity, Analogies, and Relatedness for Tatar Language: New Benchmark Datasets for Word Embeddings Evaluation


SAS-Bench: A Fine-Grained Benchmark for Evaluating Short Answer Scoring with Large Language Models


SAS: Self-Augmentation Strategy for Language Model Pre-training


SASA: Saliency-Aware Self-Adaptive Snapshot Compressive Imaging


SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object Detection


SASFormer: Transformers for Sparsely Annotated Semantic Segmentation


SASSHA: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation


SASSI -- Super-Pixelated Adaptive Spatio-Spectral Imaging


SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds


SAT Encoding of Partial Ordering Models for Graph Coloring Problems


SAT Heritage: a community-driven effort for archiving, building and running more than thousand SAT solvers


SAT Solving Using XOR-OR-AND Normal Forms


SAT and Lattice Reduction for Integer Factorization


SAT-Based PAC Learning of Description Logic Concepts


SAT-Encodings for Treecut Width and Treedepth


SAT-NGP : Unleashing Neural Graphics Primitives for Fast Relightable Transient-Free 3D reconstruction from Satellite Imagery


SAT-based Analysis of Large Real-world Feature Models is Easy


SAT-based Learning of Computation Tree Logic


SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training


SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage


SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks


SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks


SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver


SATORI-R1: Incentivizing Multimodal Reasoning with Spatial Grounding and Verifiable Rewards


SATS: Self-Attention Transfer for Continual Semantic Segmentation


SATURN -- Software Deobfuscation Framework Based on LLVM


SATURN: SAT-based Reinforcement Learning to Unleash Language Model Reasoning


SATfeatPy - A Python-based Feature Extraction System for Satisfiability


SAU: A Dual-Branch Network to Enhance Long-Tailed Recognition via Generative Models


SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks


SAUCE: Synchronous and Asynchronous User-Customizable Environment for Multi-Agent LLM Interaction


SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection


SAUSAGE: Security Analysis of Unix domain Socket Usage in Android


SAVAE: Leveraging the variational Bayes autoencoder for survival analysis


SAVE: Spectral-Shift-Aware Adaptation of Image Diffusion Models for Text-driven Video Editing


SAVOIAS: A Diverse, Multi-Category Visual Complexity Dataset


SAViR-T: Spatially Attentive Visual Reasoning with Transformers


SAW: A Tool for Safety Analysis of Weakly-hard Systems


SAWEC: Sensing-Assisted Wireless Edge Computing


SAda-Net: A Self-Supervised Adaptive Stereo Estimation CNN For Remote Sensing Image Data


SAdam: A Variant of Adam for Strongly Convex Functions


SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders


SAiD: Speech-driven Blendshape Facial Animation with Diffusion


SBAAM! Eliminating Transcript Dependency in Automatic Subtitling


SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers


SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable Semantic Features


SBEVNet: End-to-End Deep Stereo Layout Estimation


SBFT Tool Competition 2024 -- Python Test Case Generation Track


SBI++: Flexible, Ultra-fast Likelihood-free Inference Customized for Astronomical Applications


SBI-RAG: Enhancing Math Word Problem Solving for Students through Schema-Based Instruction and Retrieval-Augmented Generation


SBML2Julia: interfacing SBML with efficient nonlinear Julia modelling and solution tools for parameter optimization


SBML2Modelica: integrating biochemical models within open-standard simulation ecosystems


SBMLDiagrams: A python package to process and visualize SBML layout and render


SBMLtoODEjax: Efficient Simulation and Optimization of Biological Network Models in JAX


SBOM.EXE: Countering Dynamic Code Injection based on Software Bill of Materials in Java


SBSM-Pro: Support Bio-sequence Machine for Proteins


SBT-instrumentation: A Tool for Configurable Instrumentation of LLVM Bitcode


SBcoyote: An Extensible Python-Based Reaction Editor and Viewer


SBoRA: Low-Rank Adaptation with Regional Weight Updates


SC VALL-E: Style-Controllable Zero-Shot Text to Speech Synthesizer


SC-Bench: A Large-Scale Dataset for Smart Contract Auditing


SC-Block: Supervised Contrastive Blocking within Entity Resolution Pipelines


SC-Explorer: Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning


SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes


SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification


SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners


SC-Transformer++: Structured Context Transformer for Generic Event Boundary Detection


SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models


SC-VAE: Sparse Coding-based Variational Autoencoder with Learned ISTA


SC-wLS: Towards Interpretable Feed-forward Camera Re-localization


SC2EGSet: StarCraft II Esport Replay and Game-state Dataset


SC3K: Self-supervised and Coherent 3D Keypoints Estimation from Rotated, Noisy, and Decimated Point Cloud Data


SC4ANM: Identifying Optimal Section Combinations for Automated Novelty Prediction in Academic Papers


SC4D: Sparse-Controlled Video-to-4D Generation and Motion Transfer


SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation


SCA3D: Enhancing Cross-modal 3D Retrieval via 3D Shape and Caption Paired Data Augmentation


SCA: Improve Semantic Consistent in Unrestricted Adversarial Attacks via DDPM Inversion


SCADI: Self-supervised Causal Disentanglement in Latent Variable Models


SCAI-QReCC Shared Task on Conversational Question Answering


SCALAR: Scientific Citation-based Live Assessment of Long-context Academic Reasoning


SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency


SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection


SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements


SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge


SCALE: Self-Correcting Visual Navigation for Mobile Robots via Anti-Novelty Estimation


SCALE: Synergized Collaboration of Asymmetric Language Translation Engines


SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention


SCALES: From Fairness Principles to Constrained Decision-Making


SCALoss: Side and Corner Aligned Loss for Bounding Box Regression


SCAM! Transferring humans between images with Semantic Cross Attention Modulation


SCAM: A Real-World Typographic Robustness Evaluation for Multimodal Foundation Models


SCAMPS: Synthetics for Camera Measurement of Physiological Signals


SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models


SCAN: Bootstrapping Contrastive Pre-training for Data Efficiency


SCANS: Mitigating the Exaggerated Safety for LLMs via Safety-Conscious Activation Steering


SCANTRAP: Protecting Content Management Systems from Vulnerability Scanners with Cyber Deception and Obfuscation


SCANet: Correcting LEGO Assembly Errors with Self-Correct Assembly Network


SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing


SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks


SCAP: Transductive Test-Time Adaptation via Supportive Clique-based Attribute Prompting


SCAPE: A Simple and Strong Category-Agnostic Pose Estimator


SCAPE: Searching Conceptual Architecture Prompts using Evolution


SCAPHY: Detecting Modern ICS Attacks by Correlating Behaviors in SCADA and PHYsical


SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking


SCAR: Sparse Conditioned Autoencoders for Concept Detection and Steering in LLMs


SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization


SCARI: Separate and Conquer Algorithm for Action Rules and Recommendations Induction


SCARIF: Towards Carbon Modeling of Cloud Servers with Accelerators


SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search


SCART: Simulation of Cyber Attacks for Real-Time


SCAResNet: A ResNet Variant Optimized for Tiny Object Detection in Transmission and Distribution Towers


SCATTER: Algorithm-Circuit Co-Sparse Photonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution


SCAttNet: Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images


SCCD: A Session-based Dataset for Chinese Cyberbullying Detection


SCD: A Stacked Carton Dataset for Detection and Segmentation


SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations


SCE: Scalable Network Embedding from Sparsest Cut


SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks


SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples


SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating Replicable Scenes


SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval


SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series Forecasting


SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network


SCGC : Self-Supervised Contrastive Graph Clustering


SCGNet-Stacked Convolution with Gated Recurrent Unit Network for Cyber Network Intrusion Detection and Intrusion Type Classification


SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation


SCHENO: Measuring Schema vs. Noise in Graphs


SCHeMa: Scheduling Scientific Containers on a Cluster of Heterogeneous Machines


SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data


SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial Images


SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene Understanding


SCIMAP: A Python Toolkit for Integrated Spatial Analysis of Multiplexed Imaging Data


SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image


SCIPaD: Incorporating Spatial Clues into Unsupervised Pose-Depth Joint Learning


SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification


SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables


SCITAT: A Question Answering Benchmark for Scientific Tables and Text Covering Diverse Reasoning Types


SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms


SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER


SCL-VI: Self-supervised Context Learning for Visual Inspection of Industrial Defects


SCLAiR : Supervised Contrastive Learning for User and Device Independent Airwriting Recognition


SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference


SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images


SCNet: A Neural Network for Automated Side-Channel Attack


SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation


SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans


SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning


SCONCE: A cosmic web finder for spherical and conic geometries


SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation


SCONE: Surface Coverage Optimization in Unknown Environments by Volumetric Integration


SCONNA: A Stochastic Computing Based Optical Accelerator for Ultra-Fast, Energy-Efficient Inference of Integer-Quantized CNNs


SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow


SCOOTER: A Human Evaluation Framework for Unrestricted Adversarial Examples


SCOP: A Sequence-Structure Contrast-Aware Framework for Protein Function Prediction


SCOPE-DTI: Semi-Inductive Dataset Construction and Framework Optimization for Practical Usability Enhancement in Deep Learning-Based Drug Target Interaction Prediction


SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation


SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation


SCOPE: Scalable Composite Optimization for Learning on Spark


SCOPE: Sign Language Contextual Processing with Embedding from LLMs


SCOPE: Stochastic Cartographic Occupancy Prediction Engine for Uncertainty-Aware Dynamic Navigation


SCOR: Software-defined Constrained Optimal Routing Platform for SDN


SCORE: A 1D Reparameterization Technique to Break Bayesian Optimization's Curse of Dimensionality


SCORE: A Second-Order Conic Initialization for Range-Aided SLAM


SCORE: Saturated Consensus Relocalization in Semantic Line Maps


SCORE: Self-supervised Correspondence Fine-tuning for Improved Content Representations


SCOREH+: A High-Order Node Proximity Spectral Clustering on Ratios-of-Eigenvectors Algorithm for Community Detection


SCOREQ: Speech Quality Assessment with Contrastive Regression


SCORPIO, a package for the visualization of galaxy pairs


SCOTCH: An Efficient Secure Computation Framework for Secure Aggregation


SCOTT: Self-Consistent Chain-of-Thought Distillation


SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition


SCP-116K: A High-Quality Problem-Solution Dataset and a Generalized Pipeline for Automated Extraction in the Higher Education Science Domain


SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching


SCPNet: Unsupervised Cross-modal Homography Estimation via Intra-modal Self-supervised Learning


SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects


SCREENet: A Multi-view Deep Convolutional Neural Network for Classification of High-resolution Synthetic Mammographic Screening Scans


SCREWS: A Modular Framework for Reasoning with Revisions


SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding


SCROLLS: Standardized CompaRison Over Long Language Sequences


SCRREAM : SCan, Register, REnder And Map:A Framework for Annotating Accurate and Dense 3D Indoor Scenes with a Benchmark


SCReedSolo: A Secure and Robust LSB Image Steganography Framework with Randomized Symmetric Encryption and Reed-Solomon Coding


SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization


SCSA: Exploring the Synergistic Effects Between Spatial and Channel Attention


SCSS-Net: Solar Corona Structures Segmentation by Deep Learning


SCSim: A Realistic Spike Cameras Simulator


SCStory: Self-supervised and Continual Online Story Discovery


SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation


SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation


SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation


SCTc-TE: A Comprehensive Formulation and Benchmark for Temporal Event Forecasting


SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications


SCUBA-2: iterative map-making with the Sub-Millimetre User Reduction Facility


SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation


SCVCNet: Sliding cross-vector convolution network for cross-task and inter-individual-set EEG-based cognitive workload recognition


SC^2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration


SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change


SChanger: Change Detection from a Semantic Change and Spatial Consistency Perspective


SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data


SCoRE: Benchmarking Long-Chain Reasoning in Commonsense Scenarios


SCoTTi: Save Computation at Training Time with an adaptive framework


SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images


SD-$π$XL: Generating Low-Resolution Quantized Imagery via Score Distillation


SD-DefSLAM: Semi-Direct Monocular SLAM for Deformable and Intracorporeal Scenes


SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words


SD-GAN: Semantic Decomposition for Face Image Synthesis with Discrete Attribute


SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors


SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion


SD-Net: Symmetric-Aware Keypoint Prediction and Domain Adaptation for 6D Pose Estimation In Bin-picking Scenarios


SD-QA: Spoken Dialectal Question Answering for the Real World


SD-VSum: A Method and Dataset for Script-Driven Video Summarization


SD2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance


SDA-$x$Net: Selective Depth Attention Networks for Adaptive Multi-scale Feature Representation


SDA-DDA Semi-supervised Domain Adaptation with Dynamic Distribution Alignment Network For Emotion Recognition Using EEG Signals


SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation


SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning


SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical Zoom


SDBA: A Stealthy and Long-Lasting Durable Backdoor Attack in Federated Learning


SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation


SDCOR: Scalable Density-based Clustering for Local Outlier Detection in Massive-Scale Datasets


SDDNet: Style-guided Dual-layer Disentanglement Network for Shadow Detection


SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates


SDEMG: Score-based Diffusion Model for Surface Electromyographic Signal Denoising


SDF-Pack: Towards Compact Bin Packing with Signed-Distance-Field Minimization


SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images


SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation


SDF-TopoNet: A Two-Stage Framework for Tubular Structure Segmentation via SDF Pre-training and Topology-Aware Fine-Tuning


SDF2Net: Shallow to Deep Feature Fusion Network for PolSAR Image Classification


SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization


SDFEst: Categorical Pose and Shape Estimation of Objects from RGB-D using Signed Distance Fields


SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation


SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-omics Integration


SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor Learning


SDHN: Skewness-Driven Hypergraph Networks for Enhanced Localized Multi-Robot Coordination


SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation for Multi-modal Intent Detection


SDL: New data generation tools for full-level annotated document layout


SDLFormer: A Sparse and Dense Locality-enhanced Transformer for Accelerated MR Image Reconstruction


SDM-Car: A Dataset for Small and Dim Moving Vehicles Detection in Satellite Videos


SDM: Sequential Deep Matching Model for Online Large-scale Recommender System


SDMPrune: Self-Distillation MLP Pruning for Efficient Large Language Models


SDOF-Tracker: Fast and Accurate Multiple Human Tracking by Skipped-Detection and Optical-Flow


SDOoop: Capturing Periodical Patterns and Out-of-phase Anomalies in Streaming Data Analysis


SDP-based bounds for graph partition via extended ADMM


SDPL: Shifting-Dense Partition Learning for UAV-View Geo-Localization


SDPT: Synchronous Dual Prompt Tuning for Fusion-based Visual-Language Pre-trained Models


SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation


SDR -- Medium Rare with Fast Computations


SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition


SDS-200: A Swiss German Speech to Standard German Text Corpus


SDSAT: Accelerating LLM Inference through Speculative Decoding with Semantic Adaptive Tokens


SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy Learning


SDSS IV MaNGA: Bar pattern speed in Milky Way Analogue galaxies


SDSS-IV MaNGA: Galaxy Pair Fraction and Correlated Active Galactic Nuclei


SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction


SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring


SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions


SDformer: Efficient End-to-End Transformer for Depth Completion


SDformerFlow: Spatiotemporal swin spikeformer for event-based optical flow estimation


SDialog: A Python Toolkit for Synthetic Dialogue Generation and Analysis


SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI


SE(3) Equivariant Augmented Coupling Flows


SE(3) Koopman-MPC: Data-driven Learning and Control of Quadrotor UAVs


SE(3) symmetry lets graph neural networks learn arterial velocity estimation from small datasets


SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space


SE(3)-Equivariant Ternary Complex Prediction Towards Target Protein Degradation


SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI


SE(3)-bi-equivariant Transformers for Point Cloud Assembly


SE-ECGNet: A Multi-scale Deep Residual Network with Squeeze-and-Excitation Module for ECG Signal Classification


SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization


SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence


SE-PEF: a Resource for Personalized Expert Finding


SE-PQA: Personalized Community Question Answering


SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud


SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation


SE3D: A Framework For Saliency Method Evaluation In 3D Imaging


SE3ET: SE(3)-Equivariant Transformer for Low-Overlap Point Cloud Registration


SE3Set: Harnessing equivariant hypergraph neural networks for molecular representation learning


SEA-PARAM: Exploring Schedulers in Parametric MDPs


SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow


SEA-SQL: Semantic-Enhanced Text-to-SQL with Adaptive Refinement


SEA-ViT: Sea Surface Currents Forecasting Using Vision Transformer and GRU-Based Spatio-Temporal Covariance Modeling


SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings


SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries


SEA: Sparse Linear Attention with Estimated Attention Mask


SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers


SEABO: A Simple Search-Based Method for Offline Imitation Learning


SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction Tuning


SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution


SEAL: Safety Enhanced Trajectory Planning and Control Framework for Quadrotor Flight in Complex Environments


SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection


SEAL: Simultaneous Exploration and Localization in Multi-Robot Systems


SEAL: Simultaneous Label Hierarchy Exploration And Learning


SEAL: Steerable Reasoning Calibration of Large Language Models for Free


SEAL: Systematic Error Analysis for Value ALignment


SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation


SEAN: Image Synthesis with Semantic Region-Adaptive Normalization


SEANet: A Multi-modal Speech Enhancement Network


SEARNN: Training RNNs with Global-Local Losses


SEB-Naver: A SE(2)-based Local Navigation Framework for Car-like Robots on Uneven Terrain


SEBA: Strong Evaluation of Biometric Anonymizations


SEBERTNets: Sequence Enhanced BERT Networks for Event Entity Extraction Tasks Oriented to the Finance Field


SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques


SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks


SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations


SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies


SECAdvisor: a Tool for Cybersecurity Planning using Economic Models


SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference


SECLEDS: Sequence Clustering in Evolving Data Streams via Multiple Medoids and Medoid Voting


SECOMP: Formally Secure Compilation of Compartmentalized C Programs


SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding


SECURE: Benchmarking Large Language Models for Cybersecurity


SECap: Speech Emotion Captioning with Large Language Model


SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation


SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification


SEDAC: A CVAE-Based Data Augmentation Method for Security Bug Report Identification


SEDMamba: Enhancing Selective State Space Modelling with Bottleneck Mechanism and Fine-to-Coarse Temporal Fusion for Efficient Error Detection in Robot-Assisted Surgery


SEDNet: Shallow Encoder-Decoder Network for Brain Tumor Segmentation


SEDS: Semantically Enhanced Dual-Stream Encoder for Sign Language Retrieval


SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition


SEE: Continual Fine-tuning with Sequential Ensemble of Experts


SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference


SEED-Story: Multimodal Long Story Generation with Large Language Model


SEED4D: A Synthetic Ego--Exo Dynamic 4D Data Generator, Driving Dataset and Benchmark


SEED: A Benchmark Dataset for Sequential Facial Attribute Editing with Diffusion Models


SEED: A Simple and Effective 3D DETR in Point Clouds


SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding


SEED: Enhancing Text-to-SQL Performance and Practical Usability Through Automatic Evidence Generation


SEED: Self-supervised Distillation For Visual Representation


SEED: Speaker Embedding Enhancement Diffusion Model


SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models


SEEK: Segmented Embedding of Knowledge Graphs


SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models


SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA


SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning


SEER: Safe Efficient Exploration for Aerial Robots using Learning to Predict Information Gain


SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions


SEF-PNet: Speaker Encoder-Free Personalized Speech Enhancement with Local and Global Contexts Aggregation


SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text


SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning


SEFL: Harnessing Large Language Model Agents to Improve Educational Feedback Systems


SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning


SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning


SEGAN: semi-supervised learning approach for missing data imputation


SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation


SEINE: Structure Encoding and Interaction Network for Nuclei Instance Segmentation


SEIP: Simulation-based Design and Evaluation of Infrastructure-based Collective Perception


SEKE: Specialised Experts for Keyword Extraction


SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels


SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification


SELF-VS: Self-supervised Encoding Learning For Video Summarization


SELF: Self-Extend the Context Length With Logistic Growth Function


SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank


SELFormer: Molecular Representation Learning via SELFIES Language Models


SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models


SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention


SEM-Net: Efficient Pixel Modelling for image inpainting with Spatially Enhanced SSM


SEM-O-RAN: Semantic and Flexible O-RAN Slicing for NextG Edge-Assisted Mobile Systems


SEMA: an Extended Semantic Evaluation Metric for AMR


SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals


SEMNAV: A Semantic Segmentation-Driven Approach to Visual Semantic Navigation


SEMQA: Semi-Extractive Multi-Source Question Answering


SEMgraph: An R Package for Causal Network Analysis of High-Throughput Data with Structural Equation Models


SEMv2: Table Separation Line Detection Based on Instance Segmentation


SEMv3: A Fast and Robust Approach to Table Separation Line Detection


SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion


SEN2DWATER: A Novel Multispectral and Multitemporal Dataset and Deep Learning Benchmark for Water Resources Analysis


SENS: Part-Aware Sketch-based Implicit Neural Shape Modeling


SENSE: a Shared Encoder Network for Scene-flow Estimation


SENSEI at SNOLAB: Single-Electron Event Rate and Implications for Dark Matter


SENT: Sentence-level Distant Relation Extraction via Negative Training


SENetV2: Aggregated dense layer for channelwise and global representations


SEP: Self-Enhanced Prompt Tuning for Visual-Language Model


SEPAL: Spatial Gene Expression Prediction from Local Graphs


SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text


SEQUENT: Towards Traceable Quantum Machine Learning using Sequential Quantum Enhanced Training


SER Evals: In-domain and Out-of-domain Benchmarking for Speech Emotion Recognition


SERAB: A multi-lingual benchmark for speech emotion recognition


SERE: Exploring Feature Self-relation for Self-supervised Transformer


SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental Learning


SEROAISE: Advancing ROA Estimation for ReLU and PWA Dynamics through Estimating Certified Invariant Sets


SERRANT: a syntactic classifier for English Grammatical Error Types


SERT: A Transfomer Based Model for Spatio-Temporal Sensor Data with Missing Values for Environmental Monitoring


SERV-CT: A disparity dataset from CT for validation of endoscopic 3D reconstruction


SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects


SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes


SESS: Saliency Enhancing with Scaling and Sliding


SESS: Self-Ensembling Semi-Supervised 3D Object Detection


SETA: Semantic-Aware Token Augmentation for Domain Generalization


SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting


SETBVE: Quality-Diversity Driven Exploration of Software Boundary Behaviors


SETC: A Vulnerability Telemetry Collection Framework


SETSum: Summarization and Visualization of Student Evaluations of Teaching


SEV-Step: A Single-Stepping Framework for AMD-SEV


SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction


SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception


SEVEN: Pruning Transformer Model by Reserving Sentinels


SEVurity: No Security Without Integrity -- Breaking Integrity-Free Memory Encryption with Minimal Assumptions


SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence


SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation


SF-Loc: A Visual Mapping and Geo-Localization System based on Sparse Visual Structure Frames


SF-Net: Single-Frame Supervision for Temporal Action Localization


SF-SFD: Stochastic Optimization of Fourier Coefficients to Generate Space-Filling Designs


SF-UDA$^{3D}$: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection


SF-V: Single Forward Video Generation Model


SF2SE3: Clustering Scene Flow into SE(3)-Motions via Proposal and Selection


SFA-UNet: More Attention to Multi-Scale Contrast and Contextual Information in Infrared Small Object Segmentation


SFADNet: Spatio-temporal Fused Graph based on Attention Decoupling Network for Traffic Prediction


SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation


SFD2: Semantic-guided Feature Detection and Description


SFDFusion: An Efficient Spatial-Frequency Domain Fusion Network for Infrared and Visible Image Fusion


SFDLA: Source-Free Document Layout Analysis


SFE: A Simple, Fast and Efficient Feature Selection Algorithm for High-Dimensional Data


SFFNet: A Wavelet-Based Spatial and Frequency Domain Fusion Network for Remote Sensing Segmentation


SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis


SFI-Swin: Symmetric Face Inpainting with Swin Transformer by Distinctly Learning Face Components Distributions


SFMGNet: A Physics-based Neural Network To Predict Pedestrian Trajectories


SFMViT: SlowFast Meet ViT in Chaotic World


SFNet: Fusion of Spatial and Frequency-Domain Features for Remote Sensing Image Forgery Detection


SFPN: Synthetic FPN for Object Detection


SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds


SFQEDtoolkit: a high-performance library for the accurate modeling of strong-field QED processes in PIC and Monte Carlo codes


SFS-A68: a dataset for the segmentation of space functions in apartment buildings


SFS: Smart OS Scheduling for Serverless Functions


SFSORT: Scene Features-based Simple Online Real-Time Tracker


SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction


SFTM: Fast Comparison of Web Documents using Similarity-based Flexible Tree Matching


SFTrack++: A Fast Learnable Spectral Segmentation Approach for Space-Time Consistent Tracking


SFY -- A lightweight, high-frequency and phase-resolving wave-buoy for coastal waters


SFusion: Self-attention based N-to-One Multimodal Fusion Block


SG-BEV: Satellite-Guided BEV Fusion for Cross-View Semantic Segmentation


SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types


SG-Former: Self-guided Transformer with Evolving Token Reallocation


SG-LRA: Self-Generating Automatic Scoliosis Cobb Angle Measurement with Low-Rank Approximation


SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization


SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation


SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation


SG-PALM: a Fast Physically Interpretable Tensor Graphical Model


SG-PGM: Partial Graph Matching Network with Semantic Geometric Fusion for 3D Scene Graph Alignment and Its Downstream Tasks


SG-Tailor: Inter-Object Commonsense Relationship Reasoning for Scene Graph Manipulation


SG-VAD: Stochastic Gates Based Speech Activity Detection


SGA-INTERACT: A 3D Skeleton-based Benchmark for Group Activity Understanding in Modern Basketball Tactic


SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation


SGC-Net: Stratified Granular Comparison Network for Open-Vocabulary HOI Detection


SGC: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks


SGCR: Spherical Gaussians for Efficient 3D Curve Reconstruction


SGD as Free Energy Minimization: A Thermodynamic View on Neural Network Training


SGD for robot motion? The effectiveness of stochastic optimization on a new benchmark for biped locomotion tasks


SGD method for entropy error function with smoothing l0 regularization for neural networks


SGD on Neural Networks Learns Functions of Increasing Complexity


SGD with Coordinate Sampling: Theory and Practice


SGD with Large Step Sizes Learns Sparse Features


SGD with Partial Hessian for Deep Neural Networks Optimization


SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention


SGDP: A Stream-Graph Neural Network Based Data Prefetcher


SGDViT: Saliency-Guided Dynamic Vision Transformer for UAV Tracking


SGDiff: A Style Guided Diffusion Model for Fashion Synthesis


SGED: A Benchmark dataset for Performance Evaluation of Spiking Gesture Emotion Recognition


SGEM: stochastic gradient with energy and momentum


SGFormer: Satellite-Ground Fusion for 3D Semantic Scene Completion


SGFormer: Semantic Graph Transformer for Point Cloud-based 3D Scene Graph Generation


SGG: Learning to Select, Guide, and Generate for Keyphrase Generation


SGHormer: An Energy-Saving Graph Transformer Driven by Spikes


SGIFormer: Semantic-guided and Geometric-enhanced Interleaving Transformer for 3D Instance Segmentation


SGL: Symbolic Goal Learning in a Hybrid, Modular Framework for Human Instruction Following


SGLC: Semantic Graph-Guided Coarse-Fine-Refine Full Loop Closing for LiDAR SLAM


SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing Large Deep Models


SGM3D: Stereo Guided Monocular 3D Object Detection


SGM: Sequence Generation Model for Multi-label Classification


SGMFQP:An Ontology-based Swine Gut Microbiota Federated Query Platform


SGNet: A Super-class Guided Network for Image Classification and Object Detection


SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-Resolution


SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection


SGOR: Outlier Removal by Leveraging Semantic and Geometric Information for Robust Point Cloud Registration


SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation


SGS-GNN: A Supervised Graph Sparsification method for Graph Neural Networks


SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM


SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question Generation


SGSST: Scaling Gaussian Splatting StyleTransfer


SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance


SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation


SGToolkit: An Interactive Gesture Authoring Toolkit for Embodied Conversational Agents


SGUQ: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis using Multi-Omics Data


SGV3D:Towards Scenario Generalization for Vision-based Roadside 3D Object Detection


SGX-Aware Container Orchestration for Heterogeneous Clusters


SGoLAM: Simultaneous Goal Localization and Mapping for Multi-Object Goal Navigation


SH17: A Dataset for Human Safety and Personal Protective Equipment Detection in Manufacturing Industry


SHA256 at SemEval-2025 Task 4: Selective Amnesia -- Constrained Unlearning for Large Language Models via Knowledge Isolation


SHAARP: An Open-Source Package for Analytical and Numerical Modeling of Optical Second Harmonic Generation in Anisotropic Crystals


SHACL-DS: A SHACL extension to validate RDF dataset


SHADeS: Self-supervised Monocular Depth Estimation Through Non-Lambertian Image Decomposition


SHAFF: Fast and consistent SHApley eFfect estimates via random Forests


SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments


SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction


SHAP zero Explains Biological Sequence Models with Near-zero Marginal Cost for Future Queries


SHAP-Integrated Convolutional Diagnostic Networks for Feature-Selective Medical Analysis


SHAP-XRT: The Shapley Value Meets Conditional Independence Testing


SHAP-based Explanations are Sensitive to Feature Representation


SHAPE: A Sample-adaptive Hierarchical Prediction Network for Medication Recommendation


SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation of Individual Modalities


SHAPER: Can You Hear the Shape of a Jet?


SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning


SHARCS: Shared Concept Space for Explainable Multimodal Learning


SHARE: a System for Hierarchical Assistive Recipe Editing


SHARM: Segmented Head Anatomical Reference Models


SHARP Challenge 2023: Solving CAD History and pArameters Recovery from Point clouds and 3D scans. Overview, Datasets, Metrics, and Baselines


SHARP: Environment and Person Independent Activity Recognition with Commodity IEEE 802.11 Access Points


SHARP: Segmentation of Hands and Arms by Range using Pseudo-Depth for Enhanced Egocentric 3D Hand Pose Estimation and Action Recognition


SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual Learning


SHARPIE: A Modular Framework for Reinforcement Learning and Human-AI Interaction Experiments


SHAS: Approaching optimal Segmentation for End-to-End Speech Translation


SHAZAM: Self-Supervised Change Monitoring for Hazard Detection and Mapping


SHE: A Fast and Accurate Deep Neural Network for Encrypted Data


SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning


SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries


SHERF: Generalizable Human NeRF from a Single Image


SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning


SHERLock: Self-Supervised Hierarchical Event Representation Learning


SHGNN: Structure-Aware Heterogeneous Graph Neural Network


SHIELD : An Evaluation Benchmark for Face Spoofing and Forgery Detection with Multimodal Large Language Models


SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher


SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations


SHINE: Saliency-aware HIerarchical NEgative Ranking for Compositional Temporal Grounding


SHINE: SubHypergraph Inductive Neural nEtwork


SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology Image


SHLE: Devices Tracking and Depth Filtering for Stereo-based Height Limit Estimation


SHMC-Net: A Mask-guided Feature Fusion Network for Sperm Head Morphology Classification


SHOMA at Parseme Shared Task on Automatic Identification of VMWEs: Neural Multiword Expression Tagging with High Generalisation


SHOP: A Deep Learning Based Pipeline for near Real-Time Detection of Small Handheld Objects Present in Blurry Video


SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data


SHRED: 3D Shape Region Decomposition with Learned Local Operations


SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning


SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection


SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation


SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design


SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation


SHiFT: An Efficient, Flexible Search Engine for Transfer Learning


SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection


SHoP: A Deep Learning Framework for Solving High-order Partial Differential Equations


SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology


SIA-OVD: Shape-Invariant Adapter for Bridging the Image-Region Gap in Open-Vocabulary Detection


SIA: A Scalable Interoperable Annotation Server for Biomedical Named Entities


SIAVC: Semi-Supervised Framework for Industrial Accident Video Classification


SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects


SIBILA: A novel interpretable ensemble of general-purpose machine learning models applied to medical contexts


SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameters


SIDAR: Synthetic Image Dataset for Alignment & Restoration


SIDBench: A Python Framework for Reliably Assessing Synthetic Image Detection Methods


SIDE-real: Supernova Ia Dust Extinction with truncated marginal neural ratio estimation applied to real data


SIDIS-RC EvGen: a Monte-Carlo event generator of semi-inclusive deep inelastic scattering with the lowest-order QED radiative corrections


SIDM Concerto: Compilation and Data Release of Self-interacting Dark Matter Zoom-in Simulations


SIEDOB: Semantic Image Editing by Disentangling Object and Background


SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud


SIERRA: A Modular Framework for Research Automation


SIESTA: Efficient Online Continual Learning with Sleep


SIF: A Framework for Solidity Code Instrumentation and Analysis


SIFT and SURF based feature extraction for the anomaly detection


SIFT-DBT: Self-supervised Initialization and Fine-Tuning for Imbalanced Digital Breast Tomosynthesis Image Classification


SIFT: Grounding LLM Reasoning in Contexts via Stickers


SIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstruction


SIG-VC: A Speaker Information Guided Zero-shot Voice Conversion System for Both Human Beings and Machines


SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs


SIG: Speaker Identification in Literature via Prompt-Based Generation


SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts


SIGIR 2021 E-Commerce Workshop Data Challenge


SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection


SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding


SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection


SIGMORPHON 2023 Shared Task of Interlinear Glossing: Baseline Model


SIGNet: Intrinsic Image Decomposition by a Semantic and Invariant Gradient Driven Network for Indoor Scenes


SIGformer: Sign-aware Graph Transformer for Recommendation


SIKeD: Self-guided Iterative Knowledge Distillation for mathematical reasoning


SILC-EFSA: Self-aware In-context Learning Correction for Entity-level Financial Sentiment Analysis


SILENT: A New Lens on Statistics in Software Timing Side Channels


SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark


SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore


SILT: Self-supervised Lighting Transfer Using Implicit Image Decomposition


SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels


SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds


SILVIA: Automated Superword-Level Parallelism Exploitation via HLS-Specific LLVM Passes for Compute-Intensive FPGA Accelerators


SIM-Sync: From Certifiably Optimal Synchronization over the 3D Similarity Group to Scene Reconstruction with Learned Depth


SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization


SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation


SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation


SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments


SIMAP: A simplicial-map layer for neural networks


SIMD Compression and the Intersection of Sorted Integers


SIMD Vectorization for the Lennard-Jones Potential with AVX2 and AVX-512 instructions


SIMD$^2$: A Generalized Matrix Instruction Set for Accelerating Tensor Computation beyond GEMM


SIMEX: Simulation of Experiments at Advanced Light Sources


SIMILARnet: Simultaneous Intelligent Localization and Recognition Network


SIMLR: A Tool for Large-Scale Genomic Analyses by Multi-Kernel Learning


SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving


SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems


SIMPLE: A Gradient Estimator for $k$-Subset Sampling


SIMPLE: Simple Intensity Map Producer for Line Emission


SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials


SIMPT: Process Improvement Using Interactive Simulation of Time-aware Process Trees


SIMSHIFT: A Benchmark for Adapting Neural Surrogates to Distribution Shifts


SIMULATeQCD: A simple multi-GPU lattice code for QCD calculations


SINBAD: Saliency-informed detection of breakage caused by ad blocking


SINCERE: Supervised Information Noise-Contrastive Estimation REvisited


SINDER: Repairing the Singular Defects of DINOv2


SINDy-BVP: Sparse Identification of Nonlinear Dynamics for Boundary Value Problems


SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics


SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning


SINDyG: Sparse Identification of Nonlinear Dynamical Systems from Graph-Structured Data


SINDybrid: automatic generation of hybrid models for dynamic systems


SINE: SINgle Image Editing with Text-to-Image Diffusion Models


SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field


SINERGYM -- A virtual testbed for building energy optimization with Reinforcement Learning


SINET: Sparsity-driven Interpretable Neural Network for Underwater Image Enhancement


SINETRA: a Versatile Framework for Evaluating Single Neuron Tracking in Behaving Animals


SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model


SINR: Deconvolving Circular SAS Images Using Implicit Neural Representations


SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection


SIOD: Single Instance Annotated Per Category Per Image for Object Detection


SIP Shaker: Software Integrity Protection Composition


SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation


SIPA: A Simple Framework for Efficient Networks


SIPSA-Net: Shift-Invariant Pan Sharpening with Moving Object Alignment for Satellite Imagery


SIPs: Succinct Interest Points from Unsupervised Inlierness Probability Learning


SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations


SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction


SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised Learning for Robust Infrared Small Target Detection


SIRe-IR: Inverse Rendering for BRDF Reconstruction with Shadow and Illumination Removal in High-Illuminance Scenes


SIS: Seam-Informed Strategy for T-shirt Unfolding


SISP: A Benchmark Dataset for Fine-grained Ship Instance Segmentation in Panchromatic Satellite Images


SISPO: Space Imaging Simulator for Proximity Operations


SISSA: Real-time Monitoring of Hardware Functional Safety and Cybersecurity with In-vehicle SOME/IP Ethernet Traffic


SIT-FER: Integration of Semantic-, Instance-, Text-level Information for Semi-supervised Facial Expression Recognition


SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image Generation


SITCOM: Step-wise Triple-Consistent Diffusion Sampling for Inverse Problems


SITReg: Multi-resolution architecture for symmetric, inverse consistent, and topology preserving image registration


SITSMamba for Crop Classification based on Satellite Image Time Series


SITUATE: Indoor Human Trajectory Prediction through Geometric Features and Self-Supervised Vision Representation


SITransformer: Shared Information-Guided Transformer for Extreme Multimodal Summarization


SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment


SIU: A Million-Scale Structural Small Molecule-Protein Interaction Dataset for Unbiased Bioactivity Prediction


SIXO: Smoothing Inference with Twisted Objectives


SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing


SImMER: A Pipeline for Reducing and Analyzing Images of Stars


SIn-NeRF2NeRF: Editing 3D Scenes with Instructions through Segmentation and Inpainting


SJTU:Spatial judgments in multimodal models towards unified segmentation through coordinate detection


SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification


SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients


SK-Tree: a systematic malware detection algorithm on streaming trees via the signature kernel


SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities


SKATR: A Self-Supervised Summary Transformer for SKA


SKDCGN: Source-free Knowledge Distillation of Counterfactual Generative Networks using cGANs


SKDF: A Simple Knowledge Distillation Framework for Distilling Open-Vocabulary Knowledge to Open-world Object Detector


SKDU at De-Factify 4.0: Natural Language Features for AI-Generated Text-Detection


SKDU at De-Factify 4.0: Vision Transformer with Data Augmentation for AI-Generated Image Detection


SKFlow: Learning Optical Flow with Super Kernels


SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes


SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation


SL Sensor: An Open-Source, ROS-Based, Real-Time Structured Light Sensor for High Accuracy Construction Robotic Applications


SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning


SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition


SL3D: Self-supervised-Self-labeled 3D Recognition


SLA$^2$P: Self-supervised Anomaly Detection with Adversarial Perturbation


SLAM auto-complete: completing a robot map using an emergency map


SLAM with Objects using a Nonparametric Pose Graph


SLAM&Render: A Benchmark for the Intersection Between Neural Rendering, Gaussian Splatting and SLAM


SLAM-Supported Self-Training for 6D Object Pose Estimation


SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty


SLAM-based Joint Calibration of Multiple Asynchronous Microphone Arrays and Sound Source Localization


SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videos


SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment


SLAMP: Stochastic Latent Appearance and Motion Prediction


SLAMSpoof: Practical LiDAR Spoofing Attacks on Localization Systems Guided by Scan Matching Vulnerability Analysis


SLAMesh: Real-time LiDAR Simultaneous Localization and Meshing


SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient


SLANG: New Concept Comprehension of Large Language Models


SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations


SLAP: Siamese Language-Audio Pretraining Without Negative Samples for Music Understanding


SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks


SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content


SLATE: A Super-Lightweight Annotation Tool for Experts


SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning


SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking


SLCF-Net: Sequential LiDAR-Camera Fusion for Semantic Scene Completion using a 3D Recurrent U-Net


SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks


SLEDGE: A Simple Yet Effective Baseline for COVID-19 Scientific Knowledge Search


SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic


SLEEPYLAND: trust begins with fair evaluation of automatic sleep staging models


SLEM: Machine Learning for Path Modeling and Causal Inference with Super Learner Equation Modeling


SLGPT: Using Transfer Learning to Directly Generate Simulink Model Files and Find Bugs in the Simulink Toolchain


SLIC: Self-Supervised Learning with Iterative Clustering for Human Action Videos


SLICES-PLUS: A Crystal Representation Leveraging Spatial Symmetry


SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems


SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation


SLIDE: A machine-learning based method for forced dynamic response estimation of multibody systems


SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation


SLIDE: a surrogate fairness constraint to ensure fairness consistency


SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi-Intent Detection and Slot Filling


SLIM: Spuriousness Mitigation with Minimal Human Annotations


SLIMER-IT: Zero-Shot NER on Italian Language


SLING: Sino Linguistic Evaluation of Large Language Models


SLIP: Self-supervision meets Language-Image Pre-training


SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining


SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers


SLITronomy: towards a fully wavelet-based strong lensing inversion technique


SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NER


SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning


SLM Meets LLM: Balancing Latency, Interpretability and Consistency in Hallucination Detection


SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems


SLMRec: Distilling Large Language Models into Small for Sequential Recommendation


SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression


SLOG: A Structural Generalization Benchmark for Semantic Parsing


SLOPE: Search with Learned Optimal Pruning-based Expansion


SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments


SLOPT: Bandit Optimization Framework for Mutation-Based Fuzzing


SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings


SLOT: Sample-specific Language Model Optimization at Test-time


SLOctolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in scanning laser ophthalmoscopy images


SLPD: Slide-level Prototypical Distillation for WSIs


SLPL SHROOM at SemEval2024 Task 06: A comprehensive study on models ability to detect hallucination


SLPerf: a Unified Framework for Benchmarking Split Learning


SLRNet: A Real-Time LSTM-Based Sign Language Recognition System


SLRNet: Semi-Supervised Semantic Segmentation Via Label Reuse for Human Decomposition Images


SLRQA: A Sparse Low-Rank Quaternion Model for Color Image Processing with Convergence Analysis


SLTUNET: A Simple Unified Model for Sign Language Translation


SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining


SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech


SLURP! Spectroscopy of Liquids Using Robot Pre-Touch Sensing


SLURP: Side Learning Uncertainty for Regression Problems


SLVC-DIDA: Signature-less Verifiable Credential-based Issuer-hiding and Multi-party Authentication for Decentralized Identity


SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation


SLfRank: Shinnar-Le-Roux Pulse Design with Reduced Energy and Accurate Phase Profiles using Rank Factorization


SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression


SLoClas: A Database for Joint Sound Localization and Classification


SLoMo: A General System for Legged Robot Motion Imitation from Casual Videos


SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs


SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation


SLowcal-SGD: Slow Query Points Improve Local-SGD for Stochastic Convex Optimization


SM-SGE: A Self-Supervised Multi-Scale Skeleton Graph Encoding Framework for Person Re-Identification


SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark


SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection


SMA-X: Versatile information sharing in and around telescopes, and beyond


SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation


SMAC-Hard: Enabling Mixed Opponent Strategy Script and Self-play on SMAC


SMACE: A New Method for the Interpretability of Composite Decision Systems


SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning


SMARAGD: Learning SMatch for Accurate and Rapid Approximate Graph Distance


SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents


SMARPs and SHARPs: Two Solar Cycles of Active Region Data


SMART tracking: Simultaneous anatomical imaging and real-time passive device tracking for MR-guided interventions


SMART-MC: Characterizing the Dynamics of Multiple Sclerosis Therapy Transitions Using a Covariate-Based Markov Model


SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds


SMART-TRACK: A Novel Kalman Filter-Guided Sensor Fusion For Robust UAV Object Tracking in Dynamic Environments


SMART: A Flexible Approach to Regression using Spline-Based Multivariate Adaptive Regression Trees


SMART: Automatically Scaling Down Language Models with Accuracy Guarantees for Reduced Processing Fees


SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction


SMART: Scene-motion-aware human action recognition framework for mental disorder group


SMART: Self-Aware Agent for Tool Overuse Mitigation


SMART: Self-Morphing Adaptive Replanning Tree


SMART: Self-learning Meta-strategy Agent for Reasoning Tasks


SMART: Spatial Modeling Algorithms for Reaction and Transport


SMART: Submodular Data Mixture Strategy for Instruction Tuning


SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction


SMART: spectral energy distributions Markov chain analysis with radiative transfer models


SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration


SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions


SMARTFinRAG: Interactive Modularized Financial RAG Benchmark


SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images


SMARTe-VR: Student Monitoring and Adaptive Response Technology for e-Learning in Virtual Reality


SMARTe: Slot-based Method for Accountable Relational Triple extraction


SMARTmBOT: A ROS2-based Low-cost and Open-source Mobile Robot Platform


SMARTp: A SMART design for non-surgical treatments of chronic periodontitis with spatially-referenced and non-randomly missing skewed outcomes


SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations


SMASH: One-Shot Model Architecture Search through HyperNetworks


SMASH: Physics-guided Reconstruction of Collisions from Videos


SMATCH++: Standardized and Extended Evaluation of Semantic Graphs


SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series


SMC-NCA: Semantic-guided Multi-level Contrast for Semi-supervised Temporal Action Segmentation


SMD-Nets: Stereo Mixture Density Networks


SMEFiT: a flexible toolbox for global interpretations of particle physics data with effective field theories


SMGRL: Scalable Multi-resolution Graph Representation Learning


SMI: An Information-Theoretic Metric for Predicting Model Knowledge Solely from Pre-Training Signals


SMILE: Infusing Spatial and Motion Semantics in Masked Video Learning


SMILE: Robust Network Localization via Sparse and Low-Rank Matrix Decomposition


SMILE: Sequence-to-Sequence Domain Adaption with Minimizing Latent Entropy for Text Image Recognition


SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support


SMILER: Saliency Model Implementation Library for Experimental Research


SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery


SMILES-Prompting: A Novel Approach to LLM Jailbreak Attacks in Chemical Synthesis


SMILES-X: autonomous molecular compounds characterization for small datasets without descriptors


SMIR: Efficient Synthetic Data Pipeline To Improve Multi-Image Reasoning


SMIT: Stochastic Multi-Label Image-to-Image Translation


SMIX($λ$): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning


SMIwiz: An integrated toolbox for multidimensional seismic modelling and imaging


SMLSOM: The shrinking maximum likelihood self-organizing map


SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization


SMMix: Self-Motivated Image Mixing for Vision Transformers


SMOClust: Synthetic Minority Oversampling based on Stream Clustering for Evolving Data Streams


SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs


SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks


SMOTified-GAN for class imbalanced pattern classification problems


SMP-PHAT: Lightweight DoA Estimation by Merging Microphone Pairs


SMPConv: Self-moving Point Representations for Continuous Convolution


SMPISD-MTPNet: Scene Semantic Prior-Assisted Infrared Ship Detection Using Multi-Task Perception Networks


SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments


SMPLer: Taming Transformers for Monocular 3D Human Shape and Pose Estimation


SMPLicit: Topology-aware Generative Model for Clothed People


SMPOST: Parts of Speech Tagger for Code-Mixed Indic Social Media Text


SMPR: Single-Stage Multi-Person Pose Regression


SMRVIS: Point cloud extraction from 3-D ultrasound for non-destructive testing


SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition


SMSSVD - SubMatrix Selection Singular Value Decomposition


SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration


SMTPD: A New Benchmark for Temporal Prediction of Social Media Popularity


SMUG Planner: A Safe Multi-Goal Planner for Mobile Robots in Challenging Environments


SMUG-Explain: A Framework for Symbolic Music Graph Explanations


SMUG: Towards robust MRI reconstruction by smoothed unrolling


SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process


SMURF: Continuous Dynamics for Motion-Deblurring Radiance Fields


SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis


SMUTF: Schema Matching Using Generative Tags and Hybrid Features


SMUTHI: A python package for the simulation of light scattering by multiple particles near or between planar interfaces


SMaCk: Efficient Instruction Cache Attacks via Self-Modifying Code Conflicts


SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages


SMamba: Sparse Mamba for Event-based Object Detection


SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining


SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction


SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents


SN-Graph: a Minimalist 3D Object Representation for Classification


SN-LiDAR: Semantic Neural Fields for Novel Space-time View LiDAR Synthesis


SN2023ixf in Messier 101: A Variable Red Supergiant as the Progenitor Candidate to a Type II Supernova


SN4KE: Practical Mutation Testing at Binary Level


SNAKE: Shape-aware Neural 3D Keypoint Field


SNAP: A Benchmark for Testing the Effects of Capture Conditions on Fundamental Vision Tasks


SNAP: Efficient Extraction of Private Properties with Poisoning


SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding


SNAPE-PM: Building and Utilizing Dynamic Partner Models for Adaptive Explanation Generation


SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes


SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples


SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection


SNGuess: A method for the selection of young extragalactic transients


SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training


SNIPS: Solving Noisy Inverse Problems Stochastically


SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking Neural Networks


SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents


SNNGX: Securing Spiking Neural Networks with Genetic XOR Encryption on RRAM-based Neuromorphic Accelerator


SNNLP: Energy-Efficient Natural Language Processing Using Spiking Neural Networks


SNOBERT: A Benchmark for clinical notes entity linking in the SNOMED CT clinical terminology


SNP2Vec: Scalable Self-Supervised Pre-Training for Genome-Wide Association Study


SNP: Structured Neuron-level Pruning to Preserve Attention Scores


SNPGuard: Remote Attestation of SEV-SNP VMs Using Open Source Tools


SNS-Bench-VL: Benchmarking Multimodal Large Language Models in Social Networking Services


SNUG: Self-Supervised Neural Dynamic Garments


SNaC: Coherence Error Detection for Narrative Summarization


SNeCT: Scalable network constrained Tucker decomposition for integrative multi-platform data analysis


SNeRV: Spectra-preserving Neural Representation for Video


SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations


SO(2) and O(2) Equivariance in Image Recognition with Bessel-Convolutional Neural Networks


SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation


SO-SLAM: Semantic Object SLAM with Scale Proportional and Symmetrical Texture Constraints


SOAK: Same/Other/All K-fold cross-validation for estimating similarity of patterns in data subsets


SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition


SOAP: Improving and Stabilizing Shampoo using Adam


SOAP: Style-Omniscient Animatable Portraits


SOAR: Scene-debiasing Open-set Action Recognition


SOAR: Simultaneous Exploration and Photographing with Heterogeneous UAVs for Fast Autonomous Reconstruction


SOC-DGL: Social Interaction Behavior Inspired Dual Graph Learning Framework for Drug-Target Interaction Identification


SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation


SOCI^+: An Enhanced Toolkit for Secure OutsourcedComputation on Integers


SOCKS: A Stochastic Optimal Control and Reachability Toolbox Using Kernel Methods


SOCRATES: A Stereo Camera Trap for Monitoring of Biodiversity


SOCRATES: Towards a Unified Platform for Neural Network Analysis


SOCluster- Towards Intent-based Clustering of Stack Overflow Questions using Graph-Based Approach


SOD-YOLOv8 -- Enhancing YOLOv8 for Small Object Detection in Traffic Scenes


SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization


SODA: a TypeScript/JavaScript Library for Visualizing Biological Sequence Annotation


SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models


SODAWideNet -- Salient Object Detection with an Attention augmented Wide Encoder Decoder network without ImageNet pre-training


SODAWideNet++: Combining Attention and Convolutions for Salient Object Detection


SODAs: Sparse Optimization for the Discovery of Differential and Algebraic Equations


SODECL: An Open Source Library for Calculating Multiple Orbits of a System of Stochastic Differential Equations in Parallel


SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks


SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition


SOFI: Multi-Scale Deformable Transformer for Camera Calibration with Enhanced Line Queries


SOFIA/FORCAST Galactic Center Source Catalog


SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks


SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion


SOGDet: Semantic-Occupancy Guided Multi-view 3D Object Detection


SOGNet: Scene Overlap Graph Network for Panoptic Segmentation


SOIT: Segmenting Objects with Instance-Aware Transformers


SOL: A Library for Scalable Online Learning Algorithms


SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning


SOLAR: Scalable Distributed Spatial Joins through Learning-based Optimization


SOLAR: Second-Order Loss and Attention for Image Retrieval


SOLD2: Self-supervised Occlusion-aware Line Description and Detection


SOLD: Sinhala Offensive Language Dataset


SOLNP+: A Derivative-Free Solver for Constrained Nonlinear Optimization


SOLO FTRL algorithm for production management with transfer prices


SOLO: A Single Transformer for Scalable Vision-Language Modeling


SOLQ: Segmenting Objects by Learning Queries


SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series


SOMA: Solving Optical Marker-Based MoCap Automatically


SONIA: an immersive customizable virtual reality system for the education and exploration of brain networks


SONIC: Sonar Image Correspondence using Pose Supervised Learning for Imaging Sonars


SONICS: Synthetic Or Not -- Identifying Counterfeit Songs


SONIQUE: Video Background Music Generation Using Unpaired Audio-Visual Data


SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic Segmentation


SOON: Scenario Oriented Object Navigation with Graph-based Exploration


SOPHON: Non-Fine-Tunable Learning to Restrain Task Transferability For Pre-trained Models


SOPanG 2: online searching over a pan-genome without false positives


SORA: Stellar Occultation Reduction and Analysis


SORCE: Small Object Retrieval in Complex Environments


SORNet: Spatial Object-Centric Representations for Sequential Manipulation


SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models


SOS: Score-based Oversampling for Tabular Data


SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification


SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels


SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning


SOTASTREAM: A Streaming Approach to Machine Translation Training


SOTER on ROS: A Run-Time Assurance Framework on the Robot Operating System


SOTERIA: In Search of Efficient Neural Networks for Private Inference


SOTOPIA-$Ω$: Dynamic Strategy Injection Learning and Social Instruction Following Evaluation for Social Agents


SOTOPIA-$π$: Interactive Learning of Socially Intelligent Language Agents


SOTR: Segmenting Objects with Transformers


SOTitle: A Transformer-based Post Title Generation Approach for Stack Overflow


SOUL-Net: A Sparse and Low-Rank Unrolling Network for Spectral CT Image Reconstruction


SOUL: Towards Sentiment and Opinion Understanding of Language


SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning


SOWA: Adapting Hierarchical Frozen Window Self-Attention to Visual-Language Models for Better Anomaly Detection


SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency


SP$^2$OT: Semantic-Regularized Progressive Partial Optimal Transport for Imbalanced Clustering


SP(k) -- A hydrodynamical simulation-based model for the impact of baryon physics on the non-linear matter power spectrum


SP-10K: A Large-scale Evaluation Set for Selectional Preference Acquisition


SP-GAN: Sphere-Guided 3D Shape Generation and Manipulation


SP-SEDT: Self-supervised Pre-training for Sound Event Detection Transformer


SP-ViT: Learning 2D Spatial Priors for Vision Transformers


SP2RINT: Spatially-Decoupled Physics-Inspired Progressive Inverse Optimization for Scalable, PDE-Constrained Meta-Optical Neural Network Training


SP3D: Boosting Sparsely-Supervised 3D Object Detection via Accurate Cross-Modal Semantic Prompts


SPA$^\mathrm{H}$M(a,b): encoding the density information from guess Hamiltonian in quantum machine learning representations


SPA$^\mathrm{H}$M: the Spectrum of Approximated Hamiltonian Matrices representations


SPA-Bench: A Comprehensive Benchmark for SmartPhone Agent Evaluation


SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution


SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model


SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation with Casual Inference


SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers


SPAC-Net: Rethinking Point Cloud Completion with Structural Prior


SPAC-Net: Synthetic Pose-aware Animal ControlNet for Enhanced Pose Estimation


SPACE-IDEAS: A Dataset for Salient Information Detection in Space Innovation


SPACE: A Python-based Simulator for Evaluating Decentralized Multi-Robot Task Allocation Algorithms


SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments


SPACE: Structured Compression and Sharing of Representational Space for Continual Learning


SPACE: Your Genomic Profile Predictor is a Powerful DNA Foundation Model


SPADA: A Toolbox of Designing Soft Pneumatic Actuators for Shape Matching based on Surrogate Modeling


SPADE4: Sparsity and Delay Embedding based Forecasting of Epidemics


SPADE: Sparsity-Guided Debugging for Deep Neural Networks


SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines


SPAFormer: Sequential 3D Part Assembly with Transformers


SPAGAN: Shortest Path Graph Attention Network


SPAGHETTI: Editing Implicit Shapes Through Part Aware Generation


SPAIC: A Spike-based Artificial Intelligence Computing Framework


SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training


SPAN: Learning Similarity between Scene Graphs and Images with Transformers


SPAN: a Simple Predict & Align Network for Handwritten Paragraph Recognition


SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention


SPAP: Simultaneous Demand Prediction and Planning for Electric Vehicle Chargers in a New City


SPARC: Sparse Render-and-Compare for CAD model alignment in a single RGB image


SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings


SPARE: Symmetrized Point-to-Plane Distance for Robust Non-Rigid Registration


SPARF: Large-Scale Learning of 3D Sparse Radiance Fields from Few Input Images


SPARK: A Modular Benchmark for Humanoid Robot Safety


SPARK: Multi-Vision Sensor Perception and Reasoning Benchmark for Large-scale Vision-Language Models


SPARKLE: Enhancing SPARQL Generation with Direct KG Integration in Decoding


SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision


SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases