RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models


Room for improvement in automatic image description: an error analysis


Root Identification in Minirhizotron Imagery with Multiple Instance Learning


Roses Are Red, Violets Are Blue... but Should Vqa Expect Them To?


Rotation Periods of 34,030 Kepler Main-Sequence Stars: The Full Autocorrelation Sample


Roundtrip: A Deep Generative Neural Density Estimator


Routing Networks and the Challenges of Modular and Compositional Computation


Row-Polymorphic Types for Strategic Rewriting


Rule Extraction using Artificial Neural Networks


Rule-Guided Compositional Representation Learning on Knowledge Graphs


RuleMatrix: Visualizing and Understanding Classifiers with Rules


S$^2$-MLP: Spatial-Shift MLP Architecture for Vision


S-FaaS: Trustworthy and Accountable Function-as-a-Service using Intel SGX


S-hull: a fast radial sweep-hull routine for Delaunay triangulation


S2LET: A code to perform fast wavelet analysis on the sphere


S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields


S4L: Self-Supervised Semi-Supervised Learning


S4Net: Single Stage Salient-Instance Segmentation


SA-DNet: A on-demand semantic object registration network adapting to non-rigid deformation


SA-MLP: A Low-Power Multiplication-Free Deep Network for 3D Point Cloud Classification in Resource-Constrained Environments


SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business Intelligence


SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature Extraction


SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation


SAGA: Stochastic Whole-Body Grasping with Contact


SAGRNN: Self-Attentive Gated RNN for Binaural Speaker Separation with Interaural Cue Preservation


SAILFISH: Vetting Smart Contract State-Inconsistency Bugs in Seconds


SAILenv: Learning in Virtual Visual Environments Made Simple


SAINT+: Integrating Temporal Features for EdNet Correctness Prediction


SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology


SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation


SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections


SANDWICH: Towards an Offline, Differentiable, Fully-Trainable Wireless Neural Ray-Tracing Surrogate


SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization


SAR ATR under Limited Training Data Via MobileNetV3


SAppKG: Mobile App Recommendation Using Knowledge Graph and Side Information-A Secure Framework


SBNet: Sparse Blocks Network for Fast Inference


SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes


SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model


SCAN: Learning to Classify Images without Labels


SCC: Automatic Classification of Code Snippets


SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing


SCOPS: Self-Supervised Co-Part Segmentation


SCPNet: Semantic Scene Completion on Point Cloud


SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception


SDCNet: Video Prediction Using Spatially-Displaced Convolution


SDIT: Scalable and Diverse Cross-domain Image Translation


SDT-DCSCN for Simultaneous Super-Resolution and Deblurring of Text Images


SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation


SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields


SE2Net: Siamese Edge-Enhancement Network for Salient Object Detection


SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-Based GxE Tests in Biobank Data


SEFR: A Fast Linear-Time Classifier for Ultra-Low Power Devices


SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform


SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction


SEKD: Self-Evolving Keypoint Detection and Description


SEMIDV: A Compact Semiconductor Device Simulator with Quantum Effects


SENR/NRPy+: Numerical Relativity in Singular Curvilinear Coordinate Systems


SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness


SERKET: An Architecture for Connecting Stochastic Models to Realize a Large-Scale Cognitive Model


SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks


SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild


SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models


SFV: Reinforcement Learning of Physical Skills from Videos


SG-Net: Syntax-Guided Machine Reading Comprehension


SGAS: Sequential Greedy Architecture Search


SGAT: Simplicial Graph Attention Network


SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators


SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies


SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation


SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction


SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model


SIDU: Similarity Difference and Uniqueness Method for Explainable AI


SIGUA: Forgetting May Make Learning with Noisy Labels More Robust


SIMBa: System Identification Methods leveraging Backpropagation


SIMF: Single-Instruction Multiple-Flush Mechanism for Processor Temporal Isolation


SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition


SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation


SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder


SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology


SISO RIS-Enabled Joint 3D Downlink Localization and Synchronization


SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial Keypoints


SLA Violation Prediction In Cloud Computing: A Machine Learning Perspective


SLADS-Net: Supervised Learning Approach for Dynamic Sampling using Deep Neural Networks


SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory


SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation


SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models


SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization


SMASH: Structured matrix approximation by separation and hierarchy


SMASH: a Semantic-enabled Multi-agent Approach for Self-adaptation of Human-centered IoT


SMOTE-ENC: A novel SMOTE-based method to generate synthetic data for nominal and continuous features


SMOTExT: SMOTE meets Large Language Models


SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows


SMPLpix: Neural Avatars from 3D Human Models


SMoTherSpectre: exploiting speculative execution through port contention


SNN-SC: A Spiking Semantic Communication Framework for Collaborative Intelligence


SNR/CRB-Constrained Joint Beamforming and Reflection Designs for RIS-ISAC Systems


SOCIALGYM 2.0: Simulator for Multi-Agent Social Robot Navigation in Shared Human Spaces


SODA: Bottleneck Diffusion Models for Representation Learning


SOFT: Softmax-free Transformer with Linear Complexity


SOSNet: Second Order Similarity Regularization for Local Descriptor Learning


SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents


SP-GPT2: Semantics Improvement in Vietnamese Poetry Generation


SPA: A Graph Spectral Alignment Perspective for Domain Adaptation


SPAMCART: a code for smoothed particle Monte Carlo radiative transfer


SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking


SPEX: High-Resolution Spectral Modeling and Fitting for X-ray Astronomy


SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting


SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognition


SPICE: Semantic Propositional Image Caption Evaluation


SPIN: A Fast and Scalable Matrix Inversion Method in Apache Spark


SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition


SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval


SPO: Multi-Dimensional Preference Sequential Alignment With Implicit Reward Modeling


SPO: Sequential Monte Carlo Policy Optimisation


SPP-Net: Deep Absolute Pose Regression with Synthetic Views


SPULTRA: Low-Dose CT Image Reconstruction with Joint Statistical and Learned Image Models


SParC: Cross-Domain Semantic Parsing in Context


SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation


SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards


SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation


SQUINKY! A Corpus of Sentence-level Formality, Informativeness, and Implicature


SQUIRREL: Testing Database Management Systems with Language Validity and Coverage Feedback


SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction


SRDTI: Deep learning-based super-resolution for diffusion tensor MRI


SRM : A Style-based Recalibration Module for Convolutional Neural Networks


SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections


SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization


SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again


SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening


SSGD: A smartphone screen glass dataset for defect detection


SSH (Sketch, Shingle, & Hash) for Indexing Massive-Scale Time Series


SSIVD-Net: A Novel Salient Super Image Classification & Detection Technique for Weaponized Violence


SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes


SSLayout360: Semi-Supervised Indoor Layout Estimation from 360-Degree Panorama


SSN: Learning Sparse Switchable Normalization via SparsestMax


SSRNet: Scalable 3D Surface Reconstruction Network


ST-ABN: Visual Explanation Taking into Account Spatio-temporal Information for Video Recognition


ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Road Speed


ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning


ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents


STA-V2A: Video-to-Audio Generation with Semantic and Temporal Alignment


STACC: Code Comment Classification using SentenceTransformers


STAIR Actions: A Video Dataset of Everyday Home Actions


STAN-CT: Standardizing CT Image using Generative Adversarial Network


STANCY: Stance Classification Based on Consistency Cues


STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences


STCN: Stochastic Temporal Convolutional Networks


STDP-based spiking deep convolutional neural networks for object recognition


STEP: Spatio-Temporal Progressive Learning for Video Action Detection


STEVE-1: A Generative Model for Text-to-Behavior in Minecraft


STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency


STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting


STICK: Spike Time Interval Computational Kernel, A Framework for General Purpose Computation using Neurons, Precise Timing, Delays, and Synchrony


STING-BEE: Towards Vision-Language Model for Real-World X-ray Baggage Security Inspection


STIR: Siamese Transformer for Image Retrieval Postprocessing


STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation


STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning


STRIDES: Automated uniform models for 30 quadruply imaged quasars


STROOPWAFEL: Simulating rare outcomes from astrophysical populations, with application to gravitational-wave sources


STaR: Distilling Speech Temporal Relation for Lightweight Speech Self-Supervised Learning Models


STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction


SU(3) Quantum Spin Ladders as a Regularization of the CP(2) Model at Non-Zero Density: From Classical to Quantum Simulation


SUMNet: Fully Convolutional Model for Fast Segmentation of Anatomical Structures in Ultrasound Volumes


SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity


SVEN: Informative Visual Representation of Complex Dynamic Structure


SVGDreamer++: Advancing Editability and Diversity in Text-Guided SVG Generation


SVRG for Policy Evaluation with Fewer Gradient Evaluations


SVSNet: An End-to-end Speaker Voice Similarity Assessment Model


SVTR: Scene Text Recognition with a Single Visual Model


SWA-LDM: Toward Stealthy Watermarks for Latent Diffusion Models


SWAGAN: A Style-based Wavelet-driven Generative Model


SWAT-NN: Simultaneous Weights and Architecture Training for Neural Networks in a Latent Space


SWEET: Serving the Web by Exploiting Email Tunnels


SWIM: Selective Write-Verify for Computing-in-Memory Neural Accelerators


SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation


SaLite : A light-weight model for salient object detection


SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation


SaaS: Speed as a Supervisor for Semi-supervised Learning


Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge


SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing


Saccader: Improving Accuracy of Hard Attention Models for Vision


Safe Continuous Control with Constrained Model-Based Policy Optimization


Safe Exploration in Continuous Action Spaces


Safe Leads and Lead Changes in Competitive Team Sports


Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks


Safe Reinforcement Learning with Nonlinear Dynamics via Model Predictive Shielding


Safe Stream-Based Programming with Refinement Types


Safe Trajectory Synthesis for Autonomous Driving in Unforeseen Environments


Safe Triplet Screening for Distance Metric Learning


Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural Networks


Safe and Stabilizing Distributed Multi-Path Cellular Flows


Safe reinforcement learning for probabilistic reachability and safety specifications: A Lyapunov-based approach


SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure


SafePredict: A Meta-Algorithm for Machine Learning That Uses Refusals to Guarantee Correctness


Safeguarded Dynamic Label Regression for Generalized Noisy Supervision


Safehaul: Risk-Averse Learning for Reliable mmWave Self-Backhauling in 6G Networks


Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming


Safety-aware time-optimal motion planning with uncertain human state estimation


SaiT: Sparse Vision Transformers through Adaptive Token Pruning


Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement


Saliency Weighted Convolutional Features for Instance Search


Salt polygons and porous media convection


Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages


Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping


Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization


Sample Drop Detection for Distant-speech Recognition with Asynchronous Devices Distributed in Space


Sample Efficient Actor-Critic with Experience Replay


Sample Efficient Policy Gradient Methods with Recursive Variance Reduction


Sample and Computation Redistribution for Efficient Face Detection


Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization


Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model


Sample-efficient learning of quantum many-body systems


Sampling Matters in Deep Embedding Learning


Sampling Projects in GitHub for MSR Studies


Sampling Subgraph Network with Application to Graph Classification


Sampling Theory for Graph Signals on Product Graphs


Sampling and Filtering with Markov Chains


Sampling and Reconstruction of Bandlimited Signals with Multi-Channel Time Encoding


Sampling distribution for single-regression Granger causality estimators


Sampling exactly from the normal distribution


Sampling from manifold-restricted distributions using tangent bundle projections


Sampling weights of deep neural networks


Sampling-based Motion Planning via Control Barrier Functions


Sampling-based optimal kinodynamic planning with motion primitives


Sams-Net: A Sliced Attention-based Neural Network for Music Source Separation


Sarcasm Detection using Hybrid Neural Network


Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding


Sat2Scene: 3D Urban Scene Generation from Satellite Images with Diffusion


SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery


Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier


Satellite-based Prediction of Forage Conditions for Livestock in Northern Kenya


Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs


Scaffold-based molecular design using graph generative model


Scalability Evaluation of Iterative Algorithms Used for Supercomputer Simulation of Physical processes


Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes


Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes


Scalable Comparative Visualization of Ensembles of Call Graphs


Scalable Coordinated Exploration in Concurrent Reinforcement Learning


Scalable Dictionary Classifiers for Time Series Classification


Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation


Scalable Frame Sampling for Video Classification: A Semi-Optimal Policy Approach with Reduced Search Space


Scalable Image Coding for Humans and Machines


Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes


Scalable Learning of Non-Decomposable Objectives


Scalable Micro-planned Generation of Discourse from Structured Data


Scalable Molecular GW Calculations: Valence and Core Spectra


Scalable Multilabel Prediction via Randomized Methods


Scalable Mutual Information Estimation using Dependence Graphs


Scalable Nearest Neighbor Search for Optimal Transport


Scalable Realistic Recommendation Datasets through Fractal Expansions


Scalable Scene Flow from Point Clouds in the Real World


Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science


Scalable Twin Neural Networks for Classification of Unbalanced Data


Scalable Variational Gaussian Process Classification


Scalable Verification of Quantized Neural Networks (Technical Report)


Scalable Zero-shot Entity Linking with Dense Entity Retrieval


Scalable agent alignment via reward modeling: a research direction


Scalable and Accurate Online Feature Selection for Big Data


Scalable and Cost Efficient Algorithms for Virtual CDN Migration


Scalable and interpretable product recommendations via overlapping co-clustering


Scalable learning for bridging the species gap in image-based plant phenotyping


Scalable-Softmax Is Superior for Attention


Scalar Field Wave (Fuzzy) Dark Matter and the Formation of Galaxies


Scale Invariance of Immune System Response Rates and Times: Perspectives on Immune System Architecture and Implications for Artificial Immune Systems


Scale-Aware Trident Networks for Object Detection


Scale-Free Networks with the Same Degree Distribution: Different Structural Properties


Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI


Scaling Active Search using Linear Similarity Functions


Scaling Algorithms for Unbalanced Transport Problems


Scaling Autoregressive Models for Content-Rich Text-to-Image Generation


Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning


Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping


Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets


Scaling Hierarchical Agglomerative Clustering to Billion-sized Datasets


Scaling Hypothesis of Spatial Search on Fractal Lattice Using Quantum Walk


Scaling Instruction-Finetuned Language Models


Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters


Scaling Nakamoto Consensus to Thousands of Transactions per Second


Scaling Submodular Optimization Approaches for Control Applications in Networked Systems


Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction


Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision


Scaling advantage in quantum simulation of geometrically frustrated magnets


Scaling and Benchmarking Self-Supervised Visual Representation Learning


Scaling laws and dynamics of hashtags on Twitter


Scaling up GANs for Text-to-Image Synthesis


Scaling up Trustless DNN Inference with Zero-Knowledge Proofs


Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study


Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks


Scan2Mesh: From Unstructured Range Scans to 3D Meshes


ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes


Scattered light mapping of protoplanetary disks


Scattering properties of collective dipolar systems


Scene Graph Prediction with Limited Labels


Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations


Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations


Scene Transformer: A unified architecture for predicting multiple agent trajectories


Scene text removal via cascaded text stroke detection and erasing


SceneEDNet: A Deep Learning Approach for Scene Flow Estimation


SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor


SceneNet: Understanding Real World Indoor Scenes With Synthetic Data


SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors


SchNetPack: A Deep Learning Toolbox For Atomistic Systems


SchenQL -- A Domain-Specific Query Language on Bibliographic Metadata


Schönemann-Eisenstein-Dumas-type irreducibility conditions that use arbitrarily many prime numbers


SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained Evaluation


SciWING -- A Software Toolkit for Scientific Document Processing


Science with the Cherenkov Telescope Array


ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery


Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics


Score-Based Generative Modeling through Stochastic Differential Equations


Score-based Generative Neural Networks for Large-Scale Optimal Transport


Scoring Lexical Entailment with a Supervised Directional Similarity Network


Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics


ScrawlD: A Dataset of Real World Ethereum Smart Contracts Labelled with Vulnerabilities


Screening for REM Sleep Behaviour Disorder with Minimal Sensors


SculptStat: Statistical Analysis of Digital Sculpting Workflows


Scyclone: High-Quality and Parallel-Data-Free Voice Conversion Using Spectrogram and Cycle-Consistent Adversarial Networks


SeER: An Explainable Deep Learning MIDI-based Hybrid Song Recommender System


SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks


Seamless GPU acceleration for C++ based physics with the Metal Shading Language on Apple's M series unified chips


Search for Majorana neutrinos exploiting millikelvin cryogenics with CUORE


Search for direct production of electroweakinos in final states with one lepton, missing transverse momentum and a Higgs boson decaying into two $b$-jets in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector


Search for new phenomena in dijet events using 37 fb$^{-1}$ of $pp$ collision data collected at $\sqrt{s}=$13 TeV with the ATLAS detector


Search for transient variations of the fine structure constant and dark matter using fiber-linked optical atomic clocks


Search to aggregate neighborhood for graph neural network


Searching Central Difference Convolutional Networks for Face Anti-Spoofing


Searching For Gravitational Waves From Cosmological Phase Transitions With The NANOGrav 12.5-year dataset


Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator


Searching for Correlations in Simultaneous X-ray and UV Emission in the Narrow-line Seyfert 1 galaxy 1H 0707-495


Searching for Effective Neural Extractive Summarization: What Works and What's Next


Searching for Winograd-aware Quantized Networks


Searching for polarization in signed graphs: a local spectral approach


Searching to Exploit Memorization Effect in Learning from Corrupted Labels


Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data


Second order gradient ascent pulse engineering


Second-Order Cone Relaxations of the Optimal Power Flow for Active Distribution Grids


Second-Order Word Embeddings from Nearest Neighbor Topological Features


Second-order QCD effects in Higgs boson production through vector boson fusion


Second-order step-size tuning of SGD for non-convex optimization


Secure Containers in Android: the Samsung KNOX Case Study


Secure Deep Graph Generation with Link Differential Privacy


Secure Face Matching Using Fully Homomorphic Encryption


Secure Quantized Training for Deep Learning


Secure Text Mail Encryption with Generative Adversarial Networks


Securify: Practical Security Analysis of Smart Contracts


Securing Microservices and Microservice Architectures: A Systematic Mapping Study


Security Issues in Language-based Software Ecosystems


Security Smells in Infrastructure as Code Scripts


See, Hear, and Read: Deep Aligned Representations


Seeds Cleansing CNMF for Spatiotemporal Neural Signals Extraction of Miniscope Imaging Data


Seeing Through Clouds in Satellite Images


Seeing Under the Cover: A Physics Guided Learning Approach for In-Bed Pose Estimation


Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network


Seeking Salient Facial Regions for Cross-Database Micro-Expression Recognition


Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset


Seer: Language Instructed Video Prediction with Latent Diffusion Models


Seesaw-Net: Convolution Neural Network With Uneven Group Convolution


SeesawFaceNets: sparse and robust face verification model for mobile platform


SegSort: Segmentation by Discriminative Sorting of Segments


Segformer++: Efficient Token-Merging Strategies for High-Resolution Semantic Segmentation


Segment Any Anomaly without Training via Hybrid Prompt Regularization


Segmentation Guided Image-to-Image Translation with Adversarial Networks


Segmentation of Drosophila Heart in Optical Coherence Microscopy Images Using Convolutional Neural Networks


Segmentation of Roots in Soil with U-Net


Segmented GRAND: Complexity Reduction through Sub-Pattern Combination


Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model


Segmenting Hybrid Trajectories using Latent ODEs


Segmenting Known Objects and Unseen Unknowns without Prior Knowledge


Segmenting Medical MRI via Recurrent Decoding Cell


Segregation, integration and balance of large-scale resting brain networks configure different cognitive abilities


Seismic Arrival-time Picking on Distributed Acoustic Sensing Data using Semi-supervised Learning


Seismic Full-Waveform Inversion Using Deep Learning Tools and Techniques


Seismic Signal Denoising and Decomposition Using Deep Neural Networks


Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents


Selecting Large Language Model to Fine-tune via Rectified Scaling Law


Selecting Reliable Blockchain Peers via Hybrid Blockchain Reliability Prediction


Selecting a Scale for Spatial Confounding Adjustment


Selecting the Metric in Hamiltonian Monte Carlo


Selective Classification Can Magnify Disparities Across Groups


Self Adversarial Training for Human Pose Estimation


Self Driving RC Car using Behavioral Cloning


Self Organizing Nebulous Growths for Robust and Incremental Data Visualization


Self-Adaptive Hierarchical Sentence Model


Self-Adaptively Learning to Demoire from Focused and Defocused Image Pairs


Self-Alignment with Instruction Backtranslation


Self-Attentional Credit Assignment for Transfer in Reinforcement Learning


Self-Critical Reasoning for Robust Visual Question Answering


Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation


Self-Distillation as Instance-Specific Label Smoothing


Self-Edit: Fault-Aware Code Editor for Code Generation


Self-Enhancement Improves Text-Image Retrieval in Foundation Visual-Language Models


Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors


Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for Intrusion Detection


Self-Organizing mmWave Networks : A Power Allocation Scheme Based on Machine Learning


Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model


Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance


Self-Supervised Anomaly Detection by Self-Distillation and Negative Sampling


Self-Supervised Correspondence in Visuomotor Policy Learning


Self-Supervised Few-Shot Learning on Point Clouds


Self-Supervised Generation of Spatial Audio for 360 Video


Self-Supervised Human Depth Estimation from Monocular Videos


Self-Supervised Learning For Few-Shot Image Classification


Self-Supervised Learning of Audio-Visual Objects from Video


Self-Supervised Learning of Generative Spin-Glasses with Normalizing Flows


Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks


Self-Supervised Model Adaptation for Multimodal Semantic Segmentation


Self-Supervised Representation Learning with Spatial-Temporal Consistency for Sign Language Recognition


Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut


Self-Supervised Vessel Enhancement Using Flow-Based Consistencies


Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions


Self-Validation: Early Stopping for Single-Instance Deep Generative Priors


Self-consistent potential correction for charged periodic systems


Self-organized control for musculoskeletal robots


Self-organizing Pattern in Multilayer Network for Words and Syllables


Self-organizing traffic lights: A realistic simulation


Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID


Self-paced and self-consistent co-training for semi-supervised image segmentation


Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics


Self-supervised 6D Object Pose Estimation for Robot Manipulation


Self-supervised Amodal Video Object Segmentation


Self-supervised Anomaly Detection for Narrowband SETI


Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification


Self-supervised Image Enhancement Network: Training with Low Light Images Only


Self-supervised Learning for Speech Enhancement


Self-supervised Learning is More Robust to Dataset Imbalance


Self-supervised Learning of Dense Shape Correspondence


Self-supervised Monocular Depth Estimation: Let's Talk About The Weather


Self-supervised Single-view 3D Reconstruction via Semantic Consistency


Self-supervised Training of Graph Convolutional Networks


Self-supervised learning of a facial attribute embedding from video


Self-supervised representation learning from electroencephalography signals


Self-training with progressive augmentation for unsupervised cross-domain person re-identification


Self-view Grounding Given a Narrated 360° Video


SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning


Selfie: Self-supervised Pretraining for Image Embedding


SemDeDup: Data-efficient learning at web-scale through semantic deduplication


SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation


SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)


SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection


SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images


SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Sound


Semantic Autoencoder for Zero-Shot Learning


Semantic Classification of Tabular Datasets via Character-Level Convolutional Neural Networks


Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs


Semantic Flow for Fast and Accurate Scene Parsing


Semantic Image Segmentation via Deep Parsing Network


Semantic Image Synthesis via Class-Adaptive Cross-Attention


Semantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018


Semantic Mapping with Simultaneous Object Detection and Localization


Semantic Properties of cosine based bias scores for word embeddings


Semantic Routing for Enhanced Performance of LLM-Assisted Intent-Based 5G Core Network Management and Orchestration


Semantic Scene Completion from a Single Depth Image


Semantic Segmentation using Adversarial Networks


Semantic Sensitive TF-IDF to Determine Word Relevance in Documents


Semantic Stereo for Incidental Satellite Images


Semantic Video CNNs through Representation Warping


Semantic White Balance: Semantic Color Constancy Using Convolutional Neural Network


Semantic filtering through deep source separation on microscopy images


Semantic keypoint-based pose estimation from single RGB frames


Semantic query-by-example speech search using visual grounding


Semantic-Aware Dynamic and Distributed Power Allocation: a Multi-UAV Area Coverage Use Case


SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences


Semantics Preserving Hierarchy based Retrieval of Indian heritage monuments


Semantics derived automatically from language corpora contain human-like biases


Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images


Semi-Conditional Normalizing Flows for Semi-Supervised Learning


Semi-Empirical Shadow Molecular Dynamics: A PyTorch implementation


Semi-Parametric Hierarchical Bayes Estimates of New Yorkers' Willingness to Pay for Features of Shared Automated Vehicle Services


Semi-Supervised Deep Learning for Fully Convolutional Networks


Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE


Semi-Supervised Few-Shot Learning with Prototypical Random Walks


Semi-Supervised Graph Classification: A Hierarchical Graph Perspective


Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction


Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space


Semi-Supervised Learning via Sparse Label Propagation


Semi-Supervised Learning with Meta-Gradient


Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization


Semi-Supervised Learning, Causality and the Conditional Cluster Assumption


Semi-Supervised Models via Data Augmentationfor Classifying Interactive Affective Responses


Semi-Supervised Monaural Singing Voice Separation With a Masking Network Trained on Synthetic Mixtures


Semi-Supervised Sequence Modeling with Cross-View Training


Semi-Supervised Siamese Network for Identifying Bad Data in Medical Imaging Datasets


Semi-Supervised Video Salient Object Detection Using Pseudo-Labels


Semi-analytical formulas for the Hertzsprung-Russell Diagram


Semi-blind source separation with multichannel variational autoencoder


Semi-decentralized generalized Nash equilibrium seeking in monotone aggregative games


Semi-parametric Topological Memory for Navigation


Semi-supervised Anomaly Detection using AutoEncoders


Semi-supervised Disentanglement with Independent Vector Variational Autoencoders


Semi-supervised Domain Adaptation via Minimax Entropy


Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model


Semi-supervised Neural Chord Estimation Based on a Variational Autoencoder with Latent Chord Labels and Features


Semi-supervised Neural Networks solve an inverse problem for modeling Covid-19 spread


Semi-supervised Transfer Learning for Image Rain Removal


Semi-supervised User Geolocation via Graph Convolutional Networks


Semi-supervised Vector-valued Learning: Improved Bounds and Algorithms


Semi-supervised Vision Transformers at Scale


Semi-supervised learning of hierarchical representations of molecules using neural message passing


Semiparametric Discovery and Estimation of Interaction in Mixed Exposures using Stochastic Interventions


Semiparametric GARCH via Bayesian model averaging


Semiparametric Marginal Regression for Clustered Competing Risks Data with Missing Cause of Failure


Semiparametric generalized linear models for time-series data


Semiparametric spectral modeling of the Drosophila connectome


Semiparametric time to event models in the presence of error-prone, self-reported outcomes - With application to the women's health initiative


SenTag: a Web-based Tool for Semantic Annotation of Textual Documents


Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation


Sensitive Data Detection with High-Throughput Neural Network Models for Financial Institutions


Sensitive Information Tracking in Commodity IoT


Sensitivity Analysis for Unmeasured Confounding via Effect Extrapolation


Sensitivity analysis on chaotic dynamical system by Non-Intrusive Least Square Shadowing (NILSS)


Sensor Data Simulation for Anomaly Detection of the Elderly Living Alone


Sensor-Augmented Egocentric-Video Captioning with Dynamic Modal Attention


Sentence Simplification with Deep Reinforcement Learning


SentenceMIM: A Latent Variable Language Model


Sentiment Analysis of Citations Using Word2vec


Sentiment Analysis of Yelp Reviews: A Comparison of Techniques and Models


Sentiment Correlation in Financial News Networks and Associated Market Movements


Separable Self-attention for Mobile Vision Transformers


Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI


Separating the signal from the noise: Evidence for deceleration in old-age death rates


Separation of Chaotic Signals by Reservoir Computing


Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning


Seq2Seq AI Chatbot with Attention Mechanism


Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models


Seq2seq for Automatic Paraphasia Detection in Aphasic Speech


SeqGenSQL -- A Robust Sequence Generation Model for Structured Query Language


Sequence Level Semantics Aggregation for Video Object Detection


Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning


Sequence-Level Mixed Sample Data Augmentation


Sequential Bayesian Experimental Design for Implicit Models via Mutual Information


Sequential Bayesian optimal experimental design via approximate dynamic programming


Sequential Deliberation for Social Choice


Sequential Dialogue Context Modeling for Spoken Language Understanding


Sequential Evaluation and Generation Framework for Combinatorial Recommender System


Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves


Sequential Kernelized Independence Testing


Sequential Recommendation with Graph Neural Networks


Sequential Routing Framework: Fully Capsule Network-based Speech Recognition


Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks


Server, server in the cloud. Who is the fairest in the crowd?


Serverless Workflows with Durable Functions and Netherite


Setting the cornerstone for the IMRPhenomX family of models for gravitational waves from compact binaries: The dominant harmonic for non-precessing quasi-circular black holes


Seven Sketches in Compositionality: An Invitation to Applied Category Theory


Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference


Shakespearizing Modern Language Using Copy-Enriched Sequence-to-Sequence Models


Shallow Attention Network for Polyp Segmentation


Shallow Neural Networks for Fluid Flow Reconstruction with Limited Sensors


Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition


Shampoo: Preconditioned Stochastic Tensor Optimization


Shape Analysis of Surfaces Using General Elastic Metrics


Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks


Shape Optimization using the Finite Element Method on Multiple Meshes


Shape Robust Text Detection with Progressive Scale Expansion Network


Shape and Spin of Minihaloes: From Large Scales to the Centres


Shape-Pose Disentanglement using SE(3)-equivariant Vector Neurons


ShapeFlow: Learnable Deformations Among 3D Shapes


ShapeFormer: Transformer-based Shape Completion via Sparse Representation


ShapeWorld - A new test methodology for multimodal language understanding


Shapley Flow: A Graph-based Approach to Interpreting Model Predictions


ShareGPT4Video: Improving Video Understanding and Generation with Better Captions


Shared Autonomy via Deep Reinforcement Learning


Sharing deep generative representation for perceived image reconstruction from human brain activity


Sharing emotions at scale: The Vent dataset


Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU


Sharp global convergence guarantees for iterative nonconvex optimization: A Gaussian process perspective


Sharpen Focus: Learning with Attention Separability and Consistency


Sharper asset ranking from total drawdown durations


Shear induced ordering in systems with competing interactions: A machine learning study


SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models


Shelf-Supervised Mesh Prediction in the Wild


Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip


Shock wave collisions in AdS5: approximate numerical solutions


Short Text Conversation Based on Deep Neural Network and Analysis on Evaluation Measures


Short-Term Covid-19 Forecast for Latecomers


Short-Term Load Forecasting using Bi-directional Sequential Models and Feature Engineering for Small Datasets


Short-packet Transmission via Variable-Length Codes in the Presence of Noisy Stop Feedback


Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil


Short-term forecasting of Amazon rainforest fires based on ensemble decomposition model


Shortest path distance approximation using deep learning techniques


Should All Temporal Difference Learning Use Emphasis?


ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks


Shrinkage with Robustness: Log-Adjusted Priors for Sparse Signals


Shuffle-compatible permutation statistics II: the exterior peak set


SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination


Siam R-CNN: Visual Tracking by Re-Detection


Side-Aware Boundary Localization for More Precise Object Detection


Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks


SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On


Siformer: Feature-isolated Transformer for Efficient Skeleton-based Sign Language Recognition


Sifting Through the Static: Moving Object Detection in Difference Images


SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline in vitro


Sigma-Point Filtering and Smoothing Based Parameter Estimation in Nonlinear Dynamic Systems


SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning


Sigmoid Loss for Language Image Pre-Training


Signal Processing over Multilayer Graphs: Theoretical Foundations and Practical Applications


Signal Reconstruction from Modulo Observations


Signal mixture estimation for degenerate heavy Higgses using a deep neural network


Signature restriction for polymorphic algebraic effects


Signet Ring Cell Detection With a Semi-supervised Learning Framework


Significant reduction in semiconductor interface resistance via interfacial atomic mixing


SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization


Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems through Benign Queries


Simple Applications of BERT for Ad Hoc Document Retrieval


Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond


Simple Natural Language Processing Tools for Danish


Simple Open Stance Classification for Rumour Analysis


Simple Open-Vocabulary Object Detection with Vision Transformers


Simple Primary Colour Editing for Consumer Product Images


Simple Proof of Security of the BB84 Quantum Key Distribution Protocol


Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos


Simple and Fast Algorithm for Binary Integer and Online Linear Programming


Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness


Simple and Scalable Sparse k-means Clustering via Feature Ranking


SimpleMKKM: Simple Multiple Kernel K-means


SimpleRecon: 3D Reconstruction Without 3D Convolutions


Simplicial $q$-connectivity of directed graphs with applications to network analysis


Simplicial Closure and higher-order link prediction


Simplicity: A New Language for Blockchains


Simplified Graph Convolution with Heterophily


Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models


Simpson's paradox in Covid-19 case fatality rates: a mediation analysis of age-related causal effects


Simulated Blockchains for Machine Learning Traceability and Transaction Values in the Monero Network


Simulated Multiple Reference Training Improves Low-Resource Machine Translation


Simulated coherent electron shuttling in silicon quantum dots


Simulating Content Consistent Vehicle Datasets with Attribute Descent


Simulating Dynamical Features of Escape Panic


Simulating Imperial Dynamics and Conflict in the Ancient World


Simulating Realistic MRI variations to Improve Deep Learning model and visual explanations using GradCAM


Simulating many-engine spacecraft: Exceeding 100 trillion grid points via information geometric regularization and the MFC flow solver


Simulation Results on Selector Adaptation in Behavior Trees


Simulation of Brain Resection for Cavity Segmentation Using Self-Supervised and Semi-Supervised Learning


Simulation of quantum circuits by low-rank stabilizer decompositions


Simulation, visualization and analysis tools for pattern recognition assessment with spiking neuronal networks


Simulation-based inference of dynamical galaxy cluster masses with 3D convolutional neural networks


Simulations Approaching Data: Cortical Slow Waves in Inferred Models of the Whole Hemisphere of Mouse


Simulations of Crystal Nucleation from Solution at Constant Chemical Potential


Simulations of relativistic collisionless shocks: shock structure and particle acceleration


Simulations of sawtooth-wave adiabatic passage with losses


Simulations of the merging cluster of galaxies Cygnus A


Simultaneous Deep Transfer Across Domains and Tasks


Simultaneous Energy Harvesting and Information Transmission in a MIMO Full-Duplex System: A Machine Learning-Based Design


Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift


Simultaneous face detection and 360 degree headpose estimation


Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series


SingVisio: Visual Analytics of Diffusion Model for Singing Voice Conversion


Singing Style Transfer Using Cycle-Consistent Boundary Equilibrium Generative Adversarial Networks


Single Digit Representations of Natural Numbers


Single Image Depth Estimation Trained via Depth from Defocus Cues


Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM


Single Image Reflection Removal with Physically-Based Training Images


Single Image Reflection Separation with Perceptual Losses


Single Image Super-Resolution of Noisy 3D Dental CT Images Using Tucker Decomposition


Single Image Super-Resolution via a Holistic Attention Network


Single Object Tracking: A Survey of Methods, Datasets, and Evaluation Metrics


Single Run Action Detector over Video Stream -- A Privacy Preserving Approach


Single Shot Text Detector with Regional Attention


Single versus Multiple Annotation for Named Entity Recognition of Mutations


Single-Perspective Warps in Natural Image Stitching


Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB


Single-Shot is Enough: Panoramic Infrastructure Based Calibration of Multiple Cameras and 3D LiDARs


Single-View Place Recognition under Seasonal Changes


Single-View View Synthesis in the Wild with Learned Adaptive Multiplane Images


Single-cell entropy to quantify the cellular transcription from single-cell RNA-seq data


SituatedQA: Incorporating Extra-Linguistic Contexts into QA


Sixteen space-filling curves and traversals for d-dimensional cubes and simplices


Size vs. Structure in Training Corpora for Word Embedding Models: Araneum Russicum Maximum and Russian National Corpus


Skeleton Aware Multi-modal Sign Language Recognition


Skeleton-based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer Module


Skeleton-free Pose Transfer for Stylized 3D Characters


SkeletonNet: Shape Pixel to Skeleton Pixel


Sketch and Project: Randomized Iterative Methods for Linear Systems and Inverting Matrices


Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from Transformers by Self-supervised Learning of Sketch Gestalt


Sketch-Guided Equality Saturation: Scaling Equality Saturation to Complex Optimizations of Functional Programs


Sketch-Guided Object Localization in Natural Images


SketchEmbedNet: Learning Novel Concepts by Imitating Drawings


SketchPatch: Sketch Stylization via Seamless Patch-level Synthesis


Sketchforme: Composing Sketched Scenes from Text Descriptions for Interactive Applications


Sketchformer: Transformer-based Representation for Sketched Structure


Sketchy Empirical Natural Gradient Methods for Deep Learning


Skew Strikes Back: New Developments in the Theory of Join Algorithms


SkillMimic-V2: Learning Robust and Generalizable Interaction Skills from Sparse and Noisy Demonstrations


SkillMimic: Learning Basketball Interaction Skills from Demonstrations


Skillful Precipitation Nowcasting using Deep Generative Models of Radar


Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data


Skin Lesions Classification Using Convolutional Neural Networks in Clinical Images


Skin disease identification from dermoscopy images using deep convolutional neural network


Skin feature point tracking using deep feature encodings


Skip-Convolutions for Efficient Video Processing


Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning


Sky Optimization: Semantically aware image processing of skies in low-light photography


SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery


Slate: extending Firedrake's domain-specific abstraction to hybridized solvers for geoscience and beyond


Sleep syndromes onset detection based on automatic sleep staging algorithm


Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation


Sliding Line Point Regression for Shape Robust Scene Text Detection


Slip Detection with Combined Tactile and Visual Information


Slope One Predictors for Online Rating-Based Collaborative Filtering


Slow and Stopped Light in Dynamic Moiré Gratings


Small But Slow World: How Network Topology and Burstiness Slow Down Spreading


Small Models Struggle to Learn from Strong Reasoners


Small World with High Risks: A Study of Security Threats in the npm Ecosystem


Small-World Propensity in Weighted, Real-World Networks


Small-floating Target Detection in Sea Clutter via Visual Feature Classifying in the Time-Doppler Spectra


Small-scale proxies for large-scale Transformer training instabilities


Small-world networks: Evidence for a crossover picture


Smart Content Recognition from Images Using a Mixture of Convolutional Neural Networks


Smart Grid State Estimation with PMUs Time Synchronization Errors


SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model


Smell and Emotion: Recognising emotions in smell-related artworks


Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes


Smooth Shells: Multi-Scale Shape Registration with Functional Maps


Smooth and Efficient Policy Exploration for Robot Trajectory Learning


Smooth heaps and a dual view of self-adjusting data structures


Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval


Smoothed Quantile Regression with Large-Scale Inference


Smoothing Calabi-Yau toric hypersurfaces using the Gross-Siebert algorithm


Smoothing with Couplings of Conditional Particle Filters


SnapFuzz: An Efficient Fuzzing Framework for Network Applications


SoDeep: a Sorting Deep net to learn ranking loss surrogates


SoK: What don't we know? Understanding Security Vulnerabilities in SNARKs


SoaAlloc: Accelerating Single-Method Multiple-Objects Applications on GPUs


Soccer Player Tracking in Low Quality Video


SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos


SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos


Social Analytics of Team Interaction using Dynamic Complexity Heat Maps and Network Visualizations


Social Attention: Modeling Attention in Human Crowds


Social Chemistry 101: Learning to Reason about Social and Moral Norms


Social Distancing Beliefs and Human Mobility: Evidence from Twitter


Social Network Fusion and Mining: A Survey


Social cycling and conditional responses in the Rock-Paper-Scissors game


Social media usage reveals how regions recover after natural disaster


Social network-based distancing strategies to flatten the COVID 19 curve in a post-lockdown world


SocialGrid: A TCN-enhanced Method for Online Discussion Forecasting


Sockeye: A Toolkit for Neural Machine Translation


Soft Proposal Networks for Weakly Supervised Object Localization


Soft Prototyping Camera Designs for Car Detection Based on a Convolutional Neural Network


Soft-wired long-term memory in a natural recurrent neuronal network


SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions


SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds


Software Engineering Challenges of Deep Learning


Software for Computing the Spheroidal Wave Functions Using Arbitrary Precision Arithmetic


SolarGest: Ubiquitous and Battery-free Gesture Recognition using Solar Cells


Solution to the twin image problem in holography


Solvability of Matrix Riccati Inequalities


Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models


Solving Cut-Problems in Quadratic Time for Graphs With Bounded Treewidth


Solving Einstein equations using deep learning


Solving Forward and Inverse Problems of Contact Mechanics using Physics-Informed Neural Networks


Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning


Solving Large Break Minimization Problems in a Mirrored Double Round-robin Tournament Using Quantum Annealing


Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees


Solving Multi-Coloring Combinatorial Optimization Problems Using Hybrid Quantum Algorithms


Solving NP-Hard Problems on Graphs with Extended AlphaGo Zero


Solving Partial Differential Equations with Neural Networks


Solving S-unit, Mordell, Thue, Thue-Mahler and generalized Ramanujan-Nagell equations via Shimura-Taniyama conjecture


Solving Short-Term Relocalization Problems In Monocular Keyframe Visual SLAM Using Spatial And Semantic Data


Solving and Learning Nonlinear PDEs with Gaussian Processes


Solving differential equations with neural networks: Applications to the calculation of cosmological phase transitions


Solving integral equations on piecewise smooth boundaries using the RCIP method: a tutorial


Solving parametric PDE problems with artificial neural networks


Solving the "false positives" problem in fraud prediction


Solving the 3d Ising Model with the Conformal Bootstrap II. c-Minimization and Precise Critical Exponents


Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation


Solving the Quantum Many-Body Problem with Artificial Neural Networks


Solving the Subset Sum Problem with Heap-Ordered Subset Trees


Solving the k-sparse Eigenvalue Problem with Reinforcement Learning


Solving weighted and counting variants of connectivity problems parameterized by treewidth deterministically in single exponential time


Some Results on $k$-Critical $P_5$-Free Graphs


Some like it tough: Improving model generalization via progressively increasing the training difficulty


Some methods for heterogeneous treatment effect estimation in high-dimensions


Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks


Song Hit Prediction: Predicting Billboard Hits Using Spotify Data


SonicChain: A Wait-free, Pseudo-Static Approach Toward Concurrency in Blockchains


Sorting out Lipschitz function approximation


Sound field reconstruction using neural processes with dynamic kernels


Sound reconstruction from human brain activity via a generative model with brain-like auditory features


Sound-to-Imagination: An Exploratory Study on Unsupervised Crossmodal Translation Using Diverse Audiovisual Data


Sounds Discordant: Classical Distance Ladder & $Λ$CDM -based Determinations of the Cosmological Sound Horizon


Source Coding Based Millimeter-Wave Channel Estimation with Deep Learning Based Decoding


Source detection using a 3D sparse representation: application to the Fermi gamma-ray space telescope


Source of a Prominent Poleward Surge During Solar Cycle 24


Source term method for binary neutron stars initial data


Space Filling Split Plot Design using Fast Flexible Filling


Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer


Space-Time Representation of People Based on 3D Skeletal Data: A Review


Space-Time Smoothing of Survey Outcomes using the R Package SUMMER


SpaceML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA


SpaceNet 6: Multi-Sensor All Weather Mapping Dataset


Spans in 2-Categories: A monoidal tricategory


Sparks of Large Audio Models: A Survey and Outlook


Sparse + Low Rank Decomposition of Annihilating Filter-based Hankel Matrix for Impulse Noise Removal


Sparse Additive Gaussian Process Regression


Sparse Averages of Partial Sums of Fourier Series


Sparse Black-box Video Attack with Reinforcement Learning


Sparse Classification and Phase Transitions: A Discrete Optimization Perspective


Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system


Sparse Depth Sensing for Resource-Constrained Robots


Sparse Gaussian Processes for Continuous-Time Trajectory Estimation on Matrix Lie Groups


Sparse Generalized Eigenvalue Problem via Smooth Optimization


Sparse Global Matching for Video Frame Interpolation with Large Motion


Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference


Sparse Instance Activation for Real-Time Instance Segmentation


Sparse Matrix in Large Language Model Fine-tuning


Sparse Polynomial Optimization: Theory and Practice


Sparse Recovery via Differential Inclusions


Sparse Representation of Gaussian Molecular Surface


Sparse Representation of Photometric Redshift PDFs: Preparing for Petascale Astronomy


Sparse Subspace Clustering: Algorithm, Theory, and Applications


Sparse and Constrained Attention for Neural Machine Translation


Sparse and Functional Principal Components Analysis


Sparse evolutionary Deep Learning with over one million artificial neurons on commodity hardware


Sparse hierarchical interaction learning with epigraphical projection


Sparse multiway decomposition for analysis and modeling of diffusion imaging and tractography


SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification


SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Views


SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer


Sparsely Grouped Input Variables for Neural Networks


Sparsely ensembled convolutional neural network classifiers via reinforcement learning


Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video


Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers


Sparsity-Assisted Signal Denoising and Pattern Recognition in Time-Series Data


Sparsity-aware Robust Community Detection(SPARCODE)


Spartan Networks: Self-Feature-Squeezing Neural Networks for increased robustness in adversarial settings


Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging


Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs


Spatial Co-location Pattern Mining - A new perspective using Graph Database


Spatial Deep Learning for Wireless Scheduling


Spatial Frequency Loss for Learning Convolutional Autoencoders


Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks


Spatial Image Steganography Based on Generative Adversarial Network


Spatial Information Refinement for Chroma Intra Prediction in Video Coding


Spatial Language Representation with Multi-Level Geocoding


Spatial Language Understanding for Object Search in Partially Observed City-scale Environments


Spatial Models with the Integrated Nested Laplace Approximation within Markov Chain Monte Carlo


Spatial Resolution of Local Field Potential Signals in Macaque V4


Spatial Spread Sampling Using Weakly Associated Vectors


Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions


Spatial machine-learning model diagnostics: a model-agnostic distance-based approach


Spatial modeling of randomly acquired characteristics on outsoles with application to forensic shoeprint analysis


Spatial-Adaptive Network for Single Image Denoising


Spatially Controllable Image Synthesis with Internal Representation Collaging


Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations


Spatially concentrated social capital of urban residents


Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes


Spatially-controlled complex molecules and their applications


Spatio-Temporal Data Mining: A Survey of Problems and Methods


Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data


Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception


Spatio-Temporal Filter Adaptive Network for Video Deblurring


Spatio-Temporal Self-Attention Network for Video Saliency Prediction


Spatio-Temporal Visualization of Interdependent Battery Bus Transit and Power Distribution Systems


Spatio-temporal crop classification of low-resolution satellite imagery with capsule layers and distributed attention


Spatiotemporal Causal Decoupling Model for Air Quality Forecasting


Spatiotemporal Emotion Recognition using Deep CNN Based on EEG during Music Listening


Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction


Spatter: A Tool for Evaluating Gather / Scatter Performance


SpeX Spectroscopy of Unresolved Very Low Mass Binaries. II. Identification of Fourteen Candidate Binaries with Late-M/Early-L and T Dwarf Components


Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision


Speaker disentanglement in video-to-speech conversion


Speaker-Follower Models for Vision-and-Language Navigation


Spearphone: A Speech Privacy Exploit via Accelerometer-Sensed Reverberations from Smartphone Loudspeakers


SpecFuzz: Bringing Spectre-type vulnerabilities to the surface


Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity


Species Tree Estimation Using ASTRAL: Practical Considerations


Specification-Driven Multi-Perspective Predictive Business Process Monitoring (Extended Version)


Specifying and Verifying Properties of Space - Extended Version


SpeckleNN: A unified embedding for real-time speckle pattern classification in X-ray single-particle imaging with limited labeled examples


Spectral Density Estimation for Random Fields via Periodic Embeddings


Spectral Energy Distributions of Hard X-ray selected AGNs in the XMDS Survey


Spectral Leakage and Rethinking the Kernel Size in CNNs


Spectral Method for Multiplexed Phase Retrieval and Application in Optical Imaging in Complex Media


Spectral Metric for Dataset Complexity Assessment


Spectral Networks and Locally Connected Networks on Graphs


Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting


Spectral backtests of forecast distributions with application to risk management


Spectral modeling of scintillator for the NEMO-3 and SuperNEMO detectors


Spectral properties of quasars from Sloan Digital Sky Survey data release 14: The catalog


Spectral-GANs for High-Resolution 3D Point-cloud Generation


Spectral-Spatial Mamba for Hyperspectral Image Classification


SpectralGPT: Spectral Remote Sensing Foundation Model


Spectre Returns! Speculation Attacks using the Return Stack Buffer


Spectroscopic time series performance of the Mid-Infrared Instrument on the JWST


Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning


Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models


Speech Denoising with Deep Feature Losses


Speech Dereverberation with a Reverberation Time Shortening Target


Speech Enhancement Based on Reducing the Detail Portion of Speech Spectrograms in Modulation Domain via Discrete Wavelet Transform


Speech Enhancement In Multiple-Noise Conditions using Deep Neural Networks


Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders


Speech Recognition with Deep Recurrent Neural Networks


Speech2Face: Learning the Face Behind a Voice


Speech2Vec: A Sequence-to-Sequence Framework for Learning Word Embeddings from Speech


SpeechLMScore: Evaluating speech generation using speech language model


SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training


Speed-up and multi-view extensions to Subclass Discriminant Analysis


Speeding up Consensus by Chasing Fast Decisions


SpellBound: Defending Against Package Typosquatting


Sphere Precoding for Robust Near-Field Communications


SphereFace Revived: Unifying Hyperspherical Face Recognition


Spherical accretion in alternative theories of gravity


Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task


SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters


Spike and slab variable selection: Frequentist and Bayesian strategies


Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models


SpikeGS: Reconstruct 3D scene via fast-moving bio-inspired sensors


Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer


Spin dynamics from a constrained magnetic Tight-Binding model


Spin-Dependent Graph Neural Network Potential for Magnetic Materials


Spin-Orbit Protection of Induced Superconductivity in Majorana Nanowires


Spin-dependent heat signatures of single-molecule spin dynamics


Spin-polarized two-dimensional electron/hole gases on LiCoO$_2$ layers


SpinalNet: Deep Neural Network with Gradual Input


SplatFields: Neural Gaussian Splats for Sparse 3D and 4D Reconstruction


Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks


Splintering with distributions: A stochastic decoy scheme for private computation


Split and Rephrase: Better Evaluation and a Stronger Baseline


Split learning for health: Distributed deep learning without sharing raw patient data


SplitEE: Early Exit in Deep Neural Networks with Split Computing


Splitting Steepest Descent for Growing Neural Architectures


Splitting models for multivariate count data


Splitwise: Efficient generative LLM inference using phase splitting


Spoken Language Understanding on the Edge


Spontaneous Emission in ultra-cold spin-polarised anisotropic Fermi Seas


Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural Networks


Spontaneous Inflation and the Origin of the Arrow of Time


Spontaneous conformal symmetry breaking and a massless Wu-Yang monopole


SpotTune: Transfer Learning through Adaptive Fine-tuning


SpotlessSplats: Ignoring Distractors in 3D Gaussian Splatting


Sprites and State Channels: Payment Networks that Go Faster than Lightning


Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks


Squares that Look Round: Transforming Spherical Images


Squaring-Up Method In the Presence of Transmission Zeros


SqueezeFit: Label-aware dimensionality reduction by semidefinite programming


SqueezeNAS: Fast neural architecture search for faster semantic segmentation


Squeezed Very Deep Convolutional Neural Networks for Text Classification


Squeezed states of light and their applications in laser interferometers


StAnD: A Dataset of Linear Static Analysis Problems


Stability Analysis of Newton-MR Under Hessian Perturbations


Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models


Stability of Surface Contacts for Humanoid Robots: Closed-Form Formulae of the Contact Wrench Cone for Rectangular Support Areas


Stability of the Lanczos Method for Matrix Function Approximation


Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation


Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction


Stabilizing Transformers for Reinforcement Learning


Stabilizing Variable Selection and Regression


Stabilizing discrete empirical interpolation via randomized and deterministic oversampling


Stabilizing the Lottery Ticket Hypothesis


Stabilizing the virtual response time in single-server processor sharing queues with slowly time-varying arrival rates


Stable Architectures for Deep Neural Networks


Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning


Stable Style Transformer: Delete and Generate Approach with Encoder-Decoder for Text Style Transfer


Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Losses


Stable evaluation of Gaussian radial basis functions using Hermite polynomials


Stable large-scale solver for Ginzburg-Landau equations for superconductors


Stable solvers for real-time Complex Langevin


StacMR: Scene-Text Aware Cross-Modal Retrieval


Stacked Quantizers for Compositional Vector Compression


Stacked adaptive dynamic programming with unknown system model


Staggered Baryon Operators with Flavor SU(3) Quantum Numbers


Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter Conversations


Standard Model parameters in the tadpole-free pure $\overline{\rm{MS}}$ scheme


Standard pairs for monomial ideals in semigroup rings


Standardized Medical Image Classification across Medical Disciplines


Standardizing the Measurement of Text Diversity: A Tool and a Comparative Analysis of Scores


Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start


Staple: Complementary Learners for Real-Time Tracking


Star Formation at z=2.481 in the Lensed Galaxy SDSS J1110+6459, I: Lens Modeling and Source Reconstruction


StarNet: towards Weakly Supervised Few-Shot Object Detection


StarWhisper Telescope: Agent-Based Observation Assistant System to Approach AI Astrophysicist


State Entropy Maximization with Random Encoders for Efficient Exploration


State Space Model Meets Transformer: A New Paradigm for 3D Object Detection


State Space System Modelling of a Quad Copter UAV


State preparation and evolution in quantum computing: a perspective from Hamiltonian moments


State-Relabeling Adversarial Active Learning


State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention With Dilated 1D Convolutions


State-of-the-art Chinese Word Segmentation with Bi-LSTMs


Stateless Model Checking for TSO and PSO


Static Analysis for Regular Expression Denial-of-Service Attacks


Static Inference Meets Deep Learning: A Hybrid Type Inference Approach for Python


Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection


Statistical Analysis Plan for SEARCH Phase I: Health Outcomes among Adults


Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional Recurrent Neural Network (RNN)


Statistical Learning For DC Optimal Power Flow


Statistical Mechanical Analysis of Neural Network Pruning


Statistical closure modeling for reduced-order models of stationary systems by the ROMES method


Statistical dynamics of social distancing in SARS-CoV-2 as a differential game


Statistical properties of undulator radiation in the IOTA storage ring


Statistical significance in high-dimensional linear mixed models


Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization


Status of the $B\to K^*μ^+μ^-$ anomaly after Moriond 2017


Stay On-Topic: Generating Context-specific Fake Restaurant Reviews


Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging


StePar: an automatic code to infer stellar atmospheric parameters


Stealing Links from Graph Neural Networks


Stealing Part of a Production Language Model


StealthDB: a Scalable Encrypted Database with Full SQL Query Support


Stealthy Attack on Large Language Model based Recommendation


Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance


Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19


Stein Self-Repulsive Dynamics: Benefits From Past Samples


Steklov Spectral Geometry for Extrinsic Shape Analysis


Stellar population properties for 2 million galaxies from SDSS DR14 and DEEP2 DR4 from full spectral fitting


Step-unrolled Denoising Autoencoders for Text Generation


Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes


Stereo Visual Inertial Pose Estimation Based on Feedforward-Feedback Loops


StereoCrafter: Diffusion-based Generation of Long and High-fidelity Stereoscopic 3D from Monocular Videos


StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching


StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction


StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision


Stereotypical escape behavior in Caenorhabditis elegans allows quantification of nociceptive stimuli levels


StillFast: An End-to-End Approach for Short-Term Object Interaction Anticipation


Stimulating Creativity with FunLines: A Case Study of Humor Generation in Headlines


StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation


StoX-Net: Stochastic Processing of Partial Sums for Efficient In-Memory Computing DNN Accelerators


Stochastic Answer Networks for Machine Reading Comprehension


Stochastic Answer Networks for SQuAD 2.0


Stochastic Continuous Time Neurite Branching Models with Tree and Segment Dependent Rates


Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks


Stochastic Dynamic Information Flow Tracking Game using Supervised Learning for Detecting Advanced Persistent Threats


Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization


Stochastic Gradient MCMC for Nonlinear State Space Models


Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks


Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training


Stochastic Low-rank Tensor Bandits for Multi-dimensional Online Decision Making


Stochastic Maximum Likelihood Direction Finding in the Presence of Nonuniform Noise Fields


Stochastic Mirror Descent on Overparameterized Nonlinear Models: Convergence, Implicit Regularization, and Generalization


Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence


Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods


Stochastic Sampling Simulation for Pedestrian Trajectory Prediction


Stochastic Structured Prediction under Bandit Feedback


Stochastic gradient variational Bayes for gamma approximating distributions


Stochastic grid bundling method for backward stochastic differential equations


Stochastic reaction networks in dynamic compartment populations


Stochastic sampling of quadrature grids for the evaluation of vibrational expectation values


Stochastic seismic waveform inversion using generative adversarial networks as a geological prior


StochasticDominance.jl: A Julia Package for Higher Order Stochastic Dominance


Stock Price Correlation Coefficient Prediction with ARIMA-LSTM Hybrid Model


Stock trend prediction using news sentiment analysis


Storage, Indexing, Query Processing, and Benchmarking in Centralized and Distributed RDF Engines: A Survey


Story Ending Prediction by Transferable BERT


Story-Adapter: A Training-free Iterative Framework for Long Story Visualization


Straight to the Tree: Constituency Parsing with Neural Syntactic Distance


Straightforward Bibliography Management in R with the RefManageR Package


Straightforward Layer-wise Pruning for More Efficient Visual Adaptation


Strategy Preserving Compilation for Parallel Functional Code


Stratified hyperkahler spaces from semisimple Lie algebras


Stream Clustering using Probabilistic Data Structures


Stream Graphs and Link Streams for the Modeling of Interactions over Time


Streaming End-to-end Speech Recognition For Mobile Devices


Streaming Submodular Maximization under a $k$-Set System Constraint


Streaming keyword spotting on mobile devices


Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach


StreetStyle: Exploring world-wide clothing styles from millions of photos


Strength Estimation and Human-Like Strength Adjustment in Games


Stress Test Evaluation for Natural Language Inference


StretchBEV: Stretching Future Instance Prediction Spatially and Temporally


Strict Very Fast Decision Tree: a memory conservative algorithm for data stream mining


Stripe: Tensor Compilation via the Nested Polyhedral Model


Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling


Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields


Strong Convergence of Integrators for Nonequilibrium Langevin Dynamics`


Strong ETH Breaks With Merlin and Arthur: Short Non-Interactive Proofs of Batch Evaluation


Strong but simple: A Baseline for Domain Generalized Dense Perception by CLIP-based Transfer Learning


Strong-Weak Distribution Alignment for Adaptive Object Detection


Strong-coupling quantum logic of trapped ions


Stronger Baselines for Trustable Results in Neural Machine Translation


Strongly universal string hashing is fast


StructEdit: Learning Structural Shape Variations


StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing


Structural Deep Embedding for Hyper-Networks


Structural Equation Modeling and simultaneous clustering through the Partial Least Squares algorithm


Structural Estimation of Behavioral Heterogeneity


Structural Group Unfairness: Measurement and Mitigation by means of the Effective Resistance


Structural aspects of semigroups based on digraphs


Structural asymmetry along protein sequences and co-translational folding


Structural phase transition of two-dimensional monolayer SnTe from artificial neural network


Structure Preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks


Structure and Isotropy of Lattice Pressure Tensors for Multi-range Potentials


Structure and efficiency in bacterial photosynthetic light-harvesting


Structure estimation of binary graphical models on stratified data: application to the description of injury tables for victims of road accidents


Structure map of AB$_2$ type 2D materials by high-throughput DFT calculations


Structure-Enhanced Meta-Learning For Few-Shot Graph Classification


Structure-Feature based Graph Self-adaptive Pooling


Structure-Preserving Super Resolution with Gradient Guidance


Structure-preserving second-order integration of relativistic charged particle trajectories in electromagnetic fields


StructureBoost: Efficient Gradient Boosting for Structured Categorical Variables


Structured Control Nets for Deep Reinforcement Learning


Structured Denoising Diffusion Models in Discrete State-Spaces


Structured Inference Networks for Nonlinear State Space Models


Structured Label Inference for Visual Understanding


Structured Landmark Detection via Topology-Adapting Deep Graph Learning


Structured Prediction Helps 3D Human Motion Modelling


Structured Pruning of Deep Convolutional Neural Networks


Structured Quasi-Newton Methods for Optimization with Orthogonality Constraints


Structured Sparse Non-negative Matrix Factorization with L20-Norm for scRNA-seq Data Analysis


Structured Sparsification with Joint Optimization of Group Convolution and Channel Shuffle


Structured Time Series Prediction without Structural Prior


Structured Variational Inference in Continuous Cox Process Models


Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors


Studies in Astronomical Time Series Analysis. VI. Bayesian Block Representations


StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis


Study of sedimentation of non-cohesive particles via CFD-DEM simulations


Studying Antimatter Gravity with Muonium


Studying Gender in Conference Talks -- data from the 223rd meeting of the American Astronomical Society


Studying Shallow and Deep Convolutional Neural Networks as Learned Numerical Schemes on the 1D Heat Equation and Burgers' Equation


Studying the Wikipedia Hyperlink Graph for Relatedness and Disambiguation


StyPath: Style-Transfer Data Augmentation For Robust Histology Image Classification


Style Imitation and Chord Invention in Polyphonic Music with Exponential Families


Style Transfer by Rigid Alignment in Neural Net Feature Space


Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN


Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites


Style-Aware Normalized Loss for Improving Arbitrary Style Transfer


StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery


StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows


StyleGaussian: Instant 3D Style Transfer with Gaussian Splatting


StyleMelGAN: An Efficient High-Fidelity Adversarial Vocoder with Temporal Adaptive Normalization


Stylized Dialogue Response Generation Using Stylized Unpaired Texts


StyloMetrix: An Open-Source Multilingual Tool for Representing Stylometric Vectors


Stylometry for Noisy Medieval Data: Evaluating Paul Meyer's Hagiographic Hypothesis


Sub-Linear Memory: How to Make Performers SLiM


SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning


Subjective Bias in Abstractive Summarization


Sublinear Algorithms for Approximating String Compressibility


Submitting surveys via a conversational interface: an evaluation of user acceptance and approach effectiveness


Subnanosecond Fluctuations in Low-Barrier Nanomagnets


Subsampling Extremes: From Block Maxima to Smooth Tail Estimation


Subsets and Supermajorities: Optimal Hashing-based Set Similarity Search


Subspace Decomposition based DNN algorithm for elliptic-type multi-scale PDEs


Subspace Identification of Temperature Dynamics


Subspace Least Squares Multidimensional Scaling


Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models


Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates


Successive Convexification for 6-DoF Mars Rocket Powered Landing with Free-Final-Time


Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning


Sudowoodo: Contrastive Self-supervised Learning for Multi-purpose Data Integration and Preparation


Sui Lutris: A Blockchain Combining Broadcast and Consensus


Sum-Product Networks: A New Deep Architecture


SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders


Summarizing CPU and GPU Design Trends with Product Data


Summarizing Strategy Card Game AI Competition


Sums of Standard Uniform Random Variables


Sundial: A Family of Highly Capable Time Series Foundation Models


Sundials in the Shade: An Internet-wide Perspective on ICMP Timestamps


Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection


SupResDiffGAN a new approach for the Super-Resolution task


Super-resolution emulator of cosmological simulations using deep physical models


SuperCLUE-Math6: Graded Multi-Step Math Reasoning Benchmark for LLMs in Chinese


SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems


SuperMann: a superlinearly convergent algorithm for finding fixed points of nonexpansive operators


SuperSpike: Supervised learning in multi-layer spiking neural networks


Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification Tasks


Superiorized algorithm for reconstruction of CT images from sparse-view and limited-angle polyenergetic data


SupermarQ: A Scalable Quantum Benchmark Suite


Superpixel Graph Contrastive Clustering with Semantic-Invariant Augmentations for Hyperspectral Images


Superpixel Segmentation Using Gaussian Mixture Model


Superpixel-based Semantic Segmentation Trained by Statistical Process Control


Superpixels: An Evaluation of the State-of-the-Art


Superposition of PRS and PDSCH for ISAC System: Spectral Efficiency Enhancement and Range Ambiguity Elimination


Supersonic: Learning to Generate Source Code Optimizations in C/C++


Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning


Supervised Learning with Quantum Measurements


Supervised Machine Learning for Analysing Spectra of Exoplanetary Atmospheres


Supervised Uncertainty Quantification for Segmentation with Multiple Annotations


Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization


Supervised deep learning prediction of the formation enthalpy of the full set of configurations in complex phases: the $σ-$phase as an example


Supervised learning based on temporal coding in spiking neural networks


Supervised learning of spatial features with STDP and homeostasis using Spiking Neural Networks on SpiNNaker


Supervision via Competition: Robot Adversaries for Learning Tasks


Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors


Support Neighbor Loss for Person Re-Identification


Suppression of $Λ(1520)$ resonance production in central Pb-Pb collisions at $\sqrt{s_{\rm NN}}$ = 2.76 TeV


Surface Multigrid via Intrinsic Prolongation


Surface code compilation via edge-disjoint paths


Surface reflection of bottom generated oceanic lee waves


Surfacing contextual hate speech words within social media


Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric


Surveillance Evasion Through Bayesian Reinforcement Learning


Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and Fusion


SurveyX: Academic Survey Automation via Large Language Models


Sustained Online Amplification of COVID-19 Elites in the United States


SvTPM: A Secure and Efficient vTPM in the Cloud


Swallowing the Bitter Pill: Simplified Scalable Conformer Generation


SwarmCloak: Landing of a Swarm of Nano-Quadrotors on Human Arms


SweLL on the rise: Swedish Learner Language corpus for European Reference Level studies


SweepNet: Wide-baseline Omnidirectional Depth Estimation


SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures


SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks


Swin2-MoSE: A New Single Image Super-Resolution Model for Remote Sensing


SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution


SwinIQA: Learned Swin Distance for Compressed Image Quality Assessment


Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity


Switching Convolutional Neural Network for Crowd Counting


Switching Economics for Physics and the Carbon Price Inflation: Problems in Integrated Assessment Models and their Implications


Switchover phenomenon induced by epidemic seeding on geometric networks


Syllable-Based Sequence-to-Sequence Speech Recognition with the Transformer in Mandarin Chinese


Symbolic Behaviour in Artificial Intelligence


Symbolic Discovery of Optimization Algorithms


Symbolic Execution for Deep Neural Networks


Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks


Symbolic construction of GR(1) contracts for synchronous systems with full information


Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning


Symmetric Variational Autoencoder and Connections to Adversarial Learning


SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems


Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory


Symplectic integration with non-canonical quadrature for guiding-center orbits in magnetic confinement devices


Synchromesh: Reliable code generation from pre-trained language models


Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding


Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations


SyntaSpeech: Syntax-Aware Generative Adversarial Text-to-Speech


Synthesis of unitaries with Clifford+T circuits


Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis


Synthesizer: Rethinking Self-Attention in Transformer Models


Synthesizing Action Sequences for Modifying Model Decisions


Synthesizing Diverse and Physically Stable Grasps with Arbitrary Hand Structures using Differentiable Force Closure Estimator


Synthesizing Filamentary Structured Images with GANs


Synthesizing Images of Humans in Unseen Poses


Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes


Synthesizing Normalized Faces from Facial Identity Features


Synthesizing the preferred inputs for neurons in neural networks via deep generator networks


Synthetic Attribute Data for Evaluating Consumer-side Fairness


Synthetic CT Generation via Variant Invertible Network for All-digital Brain PET Attenuation Correction


Synthetic Controls with spillover effects: A comparative study


Synthetic Data for Text Localisation in Natural Images


Synthetic Data for the Mitigation of Demographic Biases in Face Recognition


Synthetic Gaia surveys from the FIRE cosmological simulations of Milky Way-mass galaxies


Synthetic Galaxy Images and Spectra from the Illustris Simulation


Synthetic Humans for Action Recognition from Unseen Viewpoints


Synthetic Lung Nodule 3D Image Generation Using Autoencoders


Synthetic Medical Images from Dual Generative Adversarial Networks


Synthetic Oversampling of Multi-Label Data based on Local Label Distribution


Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search


Synthetic accessibility and stability rules of NASICONs


System Energy-Efficient Hybrid Beamforming for mmWave Multi-user Systems


System Identification Through Lipschitz Regularized Deep Neural Networks


System Prompt Optimization with Meta-Learning


Systematic Investigation of Negative Cooper-Frye Contributions in Heavy Ion Collisions Using Coarse-grained Molecular Dynamics


Systematic Misestimation of Machine Learning Performance in Neuroimaging Studies of Depression


Systematic analysis of agreement between metrics and peer review in the UK REF


Systematic derivation of hybrid coarse-grained models


Systematically Monitoring Social Media: The case of the German federal election 2017


Systematics of the HAL QCD Potential at Low Energies in Lattice QCD


T-BFA: Targeted Bit-Flip Adversarial Weight Attack


T-EDGE: Temporal WEighted MultiDiGraph Embedding for Ethereum Transaction Network Analysis


T2I-FineEval: Fine-Grained Compositional Metric for Text-to-Image Evaluation


T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval


T5 for Hate Speech, Augmented Data and Ensemble


TAA-GCN: A Temporally Aware Adaptive Graph Convolutional Network for Age Estimation


TABLET: Learning From Instructions For Tabular Data


TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems


TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network


TACLE: Task and Class-aware Exemplar-free Semi-supervised Class Incremental Learning


TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification


TACO: Learning Task Decomposition via Temporal Alignment for Control


TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video Surveillance


TADAM: Task dependent adaptive metric for improved few-shot learning


TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification


TAGPRIME: A Unified Framework for Relational Structure Extraction


TAP-DLND 1.0 : A Corpus for Document Level Novelty Detection


TAPIR enables high-throughput estimation and comparison of phylogenetic informativeness using locus-specific substitution models


TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement


TAVAT: Token-Aware Virtual Adversarial Training for Language Understanding


TBraTS: Trusted Brain Tumor Segmentation


TC-DTW: Accelerating Multivariate Dynamic Time Warping Through Triangle Inequality and Point Clustering


TCMBench: A Comprehensive Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine


TCN: Table Convolutional Network for Web Table Interpretation


TEA: Temporal Excitation and Aggregation for Action Recognition


TEASEL: A Transformer-Based Speech-Prefixed Language Model


TED-On: A Total Error Framework for Digital Traces of Human Behavior on Online Platforms


TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning


TENET: A Time-reversal Enhancement Network for Noise-robust ASR


TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank


TF-SASM: Training-free Spatial-aware Sparse Memory for Multi-object Tracking


TFGAN: Time and Frequency Domain Based Generative Adversarial Network for High-fidelity Speech Synthesis


TGCN: Time Domain Graph Convolutional Network for Multiple Objects Tracking


THERMINATOR 2: THERMal heavy IoN generATOR 2


THP: Topological Hawkes Processes for Learning Causal Structure on Event Sequences


TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling


TIPO: Text to Image with Text Presampling for Prompt Optimization


TIPS: Text-Image Pretraining with Spatial Awareness


TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity Recognition


TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis


TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction


TNT: Target-driveN Trajectory Prediction


TNet: A Model-Constrained Tikhonov Network Approach for Inverse Problems


TOFU: A Task of Fictitious Unlearning for LLMs


TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation


TRAWL: Tensor Reduced and Approximated Weights for Large Language Models


TREC CAsT 2019: The Conversational Assistance Track Overview


TRIÈST: Counting Local and Global Triangles in Fully-dynamic Streams with Fixed Memory Size


TSIL: a program for the calculation of two-loop self-energy integrals


TSNAT: Two-Step Non-Autoregressvie Transformer Models for Speech Recognition


TSViz: Demystification of Deep Learning Models for Time-Series Analysis


TTC: A high-performance Compiler for Tensor Transpositions


TUMTraffic-VideoQA: A Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes


TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation


TVAE: Triplet-Based Variational Autoencoder using Metric Learning


TVCalib: Camera Calibration for Sports Field Registration in Soccer


TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories


TaTa: A Multilingual Table-to-Text Dataset for African Languages


TabPFGen -- Tabular Data Generation with TabPFN


Table Detection in the Wild: A Novel Diverse Table Detection Dataset and Method