Semidefinite relaxations in optimal experiment design with application to substrate injection for hyperpolarized MRI


Semifactual Explanations for Reinforcement Learning


Semiparametric Bayesian Inference for the Transmission Dynamics of COVID-19 with a State-Space Model


Semiparametric Bernstein-von Mises theorems for reversible diffusions


Semiparametric Causal Sufficient Dimension Reduction Of Multidimensional Treatments


Semiparametric Copula Estimation for Spatially Correlated Multivariate Mixed Outcomes: Analyzing Visual Sightings of Fin Whales from Line Transect Survey


Semiparametric Estimation of Long-Term Treatment Effects


Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference


Semiparametric Estimation of Treatment Effects in Randomized Experiments


Semiparametric Inference for Partially Identifiable Data Fusion Estimands via Double Machine Learning


Semiparametric Weighted Spline Regression (SWSR) in Confirmatory Clinical Trials with Time-Varying Placebo Effects


Semiparametric discrete data regression with Monte Carlo inference and prediction


Semiparametric estimation of structural failure time model in continuous-time processes


Semiparametric logistic regression for inference on relative vaccine efficacy in case-only studies with informative missingness


Semiparametric panel data models using neural networks


Semiparametric principal stratification analysis beyond monotonicity


Semiparametric semi-supervised learning for general targets under distribution shift and decaying overlap


Semisupervised Neural Proto-Language Reconstruction


Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs


SenAOReFoc: A Closed-Loop Sensorbased Adaptive Optics and Remote Focusing Control Software


SenCLIP: Enhancing zero-shot land-use mapping for Sentinel-2 with ground-level prompting


SenPa-MAE: Sensor Parameter Aware Masked Autoencoder for Multi-Satellite Self-Supervised Pretraining


Send Message to the Future? Blockchain-based Time Machines for Decentralized Reveal of Locked Information


Sending Timely Status Updates through Channel with Random Delay via Online Learning


Sengi: a small, fast, interactive viewer for spectral outputs from stellar population synthesis models


Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving


Sense Embeddings are also Biased--Evaluating Social Biases in Static and Contextualised Sense Embeddings


Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing


Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding


Sense disambiguation of compound constituents


Sense-then-Charge: Wireless Power Transfer to Unresponsive Devices with Unknown Location


SenseFi: A Library and Benchmark on Deep-Learning-Empowered WiFi Human Sensing


SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings


SenseShift6D: Multimodal RGB-D Benchmarking for Robust 6D Pose Estimation across Environment and Sensor Variations


Sensei: Self-Supervised Sensor Name Segmentation


Sensemaking About Contraceptive Methods Across Online Platforms


Sensing Aided Reconfigurable Intelligent Surfaces for 3GPP 5G Transparent Operation


Sensing Ambiguity in Henry James' "The Turn of the Screw"


Sensing Cox Processes via Posterior Sampling and Positive Bases


Sensing Matrix Design and Sparse Recovery on the Sphere and the Rotation Group


Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions


Sensing accident-prone features in urban scenes for proactive driving and accident prevention


Sensing and Steering Stereotypes: Extracting and Applying Gender Representation Vectors in LLMs


Sensing force gradients with cavity optomechanics while evading backaction


Sensing the Pulse of the Pandemic: Geovisualizing the Demographic Disparities of Public Sentiment toward COVID-19 through Social Media


Sensing-Enhanced Channel Estimation for Near-Field XL-MIMO Systems


Sensitive and Scalable Online Evaluation with Theoretical Guarantees


Sensitivity Analyses of a Multi-Physics Long-Term Clogging Model For Steam Generators


Sensitivity Analysis for Binary Outcome Misclassification in Randomization Tests via Integer Programming


Sensitivity Analysis for Mirror-Stratifiable Convex Functions


Sensitivity Analysis for Periodic Orbits and Quasiperiodic Invariant Tori Using the Adjoint Method


Sensitivity Analysis for the Test-Negative Design


Sensitivity Analysis of Deep Neural Networks


Sensitivity Analysis of G-estimators to Invalid Instrumental Variables


Sensitivity Analysis of Individual Treatment Effects: A Robust Conformal Inference Approach


Sensitivity Analysis of Simulation-Based Inference for Galaxy Clustering


Sensitivity Analysis using Approximate Moment Condition Models


Sensitivity Approximation by the Peano-Baker Series


Sensitivity analysis for bias due to a misclassfied confounding variable in marginal structural models


Sensitivity analysis for publication bias in meta-analysis of sparse data based on exact likelihood


Sensitivity analysis for publication bias on the time-dependent summary ROC analysis in meta-analysis of prognosis studies


Sensitivity analysis of an integrated climate-economic model


Sensitivity and specificity of a Bayesian single trial analysis for time varying neural signals


Sensitivity and spectral control of network lasers


Sensitivity as a Complexity Measure for Sequence Classification Tasks


Sensitivity of Average Precision to Bounding Box Perturbations


Sensitivity of peptide conformational dynamics in carbon nanotubes to directional mechanical forces


Sensitivity of present and future detectors across the black-hole binary gravitational wave spectrum


Sensitivity of the Roman Coronagraph Instrument to Exozodiacal Dust


Sensitivity to User Mischaracterizations in Electric Vehicle Charging


Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting


Sensitivity-Aware Amortized Bayesian Inference


Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning


Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations


Sensor Observability Analysis for Maximizing Task-Space Observability of Articulated Robots


Sensor-Based Distributionally Robust Control for Safe Robot Navigation in Dynamic Environments


SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing


SensorQA: A Question Answering Benchmark for Daily-Life Monitoring


SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes


SensorX2car: Sensors-to-car calibration for autonomous driving in road scenarios


Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning


Sent2Span: Span Detection for PICO Extraction in the Biomedical Text without Span Annotations


SentAlign: Accurate and Scalable Sentence Alignment


SentBS: Sentence-level Beam Search for Controllable Summarization


SentMix-3L: A Bangla-English-Hindi Code-Mixed Dataset for Sentiment Analysis


SenteCon: Leveraging Lexicons to Learn Human-Interpretable Language Representations


Sentence Alignment with Parallel Documents Facilitates Biomedical Machine Translation


Sentence Ambiguity, Grammaticality and Complexity Probes


Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction


Sentence Bottleneck Autoencoders from Transformer Language Models


Sentence Centrality Revisited for Unsupervised Summarization


Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks


Sentence Embedder Guided Utterance Encoder (SEGUE) for Spoken Language Understanding


Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence


Sentence Embeddings as an intermediate target in end-to-end summarisation


Sentence Embeddings in NLI with Iterative Refinement Encoders


Sentence Representation Learning with Generative Objective rather than Contrastive Objective


Sentence Representations via Gaussian Embedding


Sentence Simplification via Large Language Models


Sentence Specified Dynamic Video Thumbnail Generation


Sentence Structure and Word Relationship Modeling for Emphasis Selection


Sentence-Incremental Neural Coreference Resolution


Sentence-level Media Bias Analysis with Event Relation Graph


Sentence-level Prompts Benefit Composed Image Retrieval


Sentence-to-Label Generation Framework for Multi-task Learning of Japanese Sentence Classification and Named Entity Recognition


SentenceVAE: Enable Next-sentence Prediction for Large Language Models with Faster Speed, Higher Accuracy and Longer Context


SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity


SentiFormer: Metadata Enhanced Transformer for Image Sentiment Analysis


SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge


SentiLSTM: A Deep Learning Approach for Sentiment Analysis of Restaurant Reviews


SentiPers: A Sentiment Analysis Corpus for Persian


Sentiment Analysis Across Languages: Evaluation Before and After Machine Translation to English


Sentiment Analysis Dataset in Moroccan Dialect: Bridging the Gap Between Arabic and Latin Scripted dialect


Sentiment Analysis Using Averaged Weighted Word Vector Features


Sentiment Analysis and Effect of COVID-19 Pandemic using College SubReddit Data


Sentiment Analysis based Multi-person Multi-criteria Decision Making Methodology using Natural Language Processing and Deep Learning for Smarter Decision Aid. Case study of restaurant choice using TripAdvisor reviews


Sentiment Analysis for Sinhala Language using Deep Learning Techniques


Sentiment Analysis in Finance: From Transformers Back to eXplainable Lexicons (XLex)


Sentiment Analysis in the Era of Large Language Models: A Reality Check


Sentiment Analysis of Cyberbullying Data in Social Media


Sentiment Analysis of Persian-English Code-mixed Texts


Sentiment Classification in Bangla Textual Content: A Comparative Study


Sentiment Polarity Detection for Software Development


Sentiment Polarity Detection on Bengali Book Reviews Using Multinomial Naive Bayes


Sentiment Tagging with Partial Labels using Modular Architectures


Sentiment analysis in Bengali via transfer learning using multi-lingual BERT


Sentiment analysis in tweets: an assessment study from classical to modern text representation models


Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis


Sentiment-Driven Community Detection in a Network of Perfume Preferences


Sentiment-driven Community Profiling and Detection on Social Media


Sentiment-enhanced Graph-based Sarcasm Explanation in Dialogue


Sentiment-oriented Transformer-based Variational Autoencoder Network for Live Video Commenting


SentimentArcs: A Novel Method for Self-Supervised Sentiment Analysis of Time Series Shows SOTA Transformers Can Struggle Finding Narrative Arcs


SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learning


Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies


Sentinel: Attention Probing of Proxy Models for LLM Context Compression with an Understanding Perspective


SentinelLMs: Encrypted Input Adaptation and Fine-tuning of Language Models for Private and Secure Inference


SentryCore: A RISC-V Co-Processor System for Safe, Real-Time Control Applications


SepAl: Sepsis Alerts On Low Power Wearables With Digital Biomarkers and On-Device Tiny Machine Learning


SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator


SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image Enhancement


SepMamba: State-space models for speaker separation using Mamba


SepMark: Deep Separable Watermarking for Unified Source Tracing and Deepfake Detection


SepPrune: Structured Pruning for Efficient Deep Speech Separation


SepTr: Separable Transformer for Audio Spectrogram Processing


SepVAE: a contrastive VAE to separate pathological patterns from healthy ones


Separable Convolutions for Optimizing 3D Stereo Networks


Separable Layers Enable Structured Efficient Linear Substitutions


Separable Physics-informed Neural Networks for Solving the BGK Model of the Boltzmann Equation


Separable Self and Mixed Attention Transformers for Efficient Object Tracking


Separate Exchangeability as Modeling Principle in Bayesian Nonparametrics


Separate Universe calibration of the dependence of halo bias on cosmic web anisotropy


Separate What You Describe: Language-Queried Audio Source Separation


Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation


Separate and Locate: Rethink the Text in Text-based Visual Question Answering


Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation


Separate but Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data


Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models


Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation


Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation


Separating Content and Style for Unsupervised Image-to-Image Translation


Separating MAX 2-AND, MAX DI-CUT and MAX CUT


Separating Polarization from Noise: Comparison and Normalization of Structural Polarization Measures


Separating Skills and Concepts for Novel Visual Question Answering


Separating States in Astronomical Sources Using Hidden Markov Models: With a Case Study of Flaring and Quiescence on EV Lac


Separating Structure from Noise in Large Graphs Using the Regularity Lemma


Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers


Separating and reintegrating latent variables to improve classification of genomic data


Separating common from salient patterns with Contrastive Representation Learning


Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses


Separating singular moduli and the primitive element problem


Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language


Separating the EoR Signal with a Convolutional Denoising Autoencoder: A Deep-learning-based Method


Separating the Wheat from the Chaff with BREAD: An open-source benchmark and metrics to detect redundancy in text


Separating the World and Ego Models for Self-Driving


Separating timing, movement conditions and individual differences in the analysis of human movement


Separating value functions across time-scales


Separation of Body and Background in Radiological Images. A Practical Python Code


Separation of Quark Flavors using DVCS Data


Separation of electrons from pions in GEM TRD using deep learning


Separation of periodic orbits in the delay embedded space of chaotic attractors


SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction


SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing


Sepsyn-OLCP: An Online Learning-based Framework for Early Sepsis Prediction with Uncertainty Quantification using Conformal Prediction


Seq vs Seq: An Open Suite of Paired Encoders and Decoders


Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph


Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling


Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning


Seq-to-Final: A Benchmark for Tuning from Sequential Distributions to a Final Time Point


Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training


Seq2Edits: Sequence Transduction Using Span-level Edit Operations


Seq2Seq RNN based Gait Anomaly Detection from Smartphone Acquired Multimodal Motion Data


Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples


Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections


Seq2seq is All You Need for Coreference Resolution


SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers


SeqFace: Make full use of sequence information for face recognition


SeqFormer: Sequential Transformer for Video Instance Segmentation


SeqFusion: Sequential Fusion of Pre-Trained Models for Zero-Shot Time-Series Forecasting


SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding


SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series


SeqMIA: Sequential-Metric Based Membership Inference Attack


SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup


SeqNAS: Neural Architecture Search for Event Sequence Classification


SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data


SeqPE: Transformer with Sequential Position Encoding


SeqRFM: Fast RFM Analysis in Sequence Data


SeqROCTM: A Matlab toolbox for the analysis of Sequence of Random Objects driven by Context Tree Models


SeqSAM: Autoregressive Multiple Hypothesis Prediction for Medical Image Segmentation using SAM


SeqSeg: Learning Local Segments for Automatic Vascular Model Construction


SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging


SeqTrack3D: Exploring Sequence Information for Robust 3D Point Cloud Tracking


SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning


SeqXGPT: Sentence-Level AI-Generated Text Detection


SequeL: A Continual Learning Library in PyTorch and JAX


Sequence Adaptation via Reinforcement Learning in Recommender Systems


Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning


Sequence Generation with Label Augmentation for Relation Extraction


Sequence Graph Network for Online Debate Analysis


Sequence Graph Transform (SGT): A Feature Extraction Function for Sequence Data Mining (Extended Version)


Sequence Labeling Parsing by Learning Across Representations


Sequence Learning Using Equilibrium Propagation


Sequence Length Independent Norm-Based Generalization Bounds for Transformers


Sequence Level Contrastive Learning for Text Summarization


Sequence Model Imitation Learning with Unobserved Contexts


Sequence Modeling with Multiresolution Convolutional Memory


Sequence Modeling with Unconstrained Generation Order


Sequence Processing with Quantum Tensor Networks


Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation


Sequence models for by-trial decoding of cognitive strategies from neural data


Sequence of penalties method to study excited states using VQE


Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving


Sequence to Sequence Learning for Event Prediction


Sequence to sequence AE-ConvLSTM network for modelling the dynamics of PDE systems


Sequence to sequence pretraining for a less-resourced Slovenian language


Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump


Sequence-Only Prediction of Binding Affinity Changes: A Robust and Interpretable Model for Antibody Engineering


Sequence-aware multimodal page classification of Brazilian legal documents


Sequence-guided protein structure determination using graph convolutional and recurrent networks


Sequence-level Speaker Change Detection with Difference-based Continuous Integrate-and-fire


Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing


Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks


Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding


Sequence-to-Sequence Knowledge Graph Completion and Question Answering


Sequence-to-Sequence Learning as Beam-Search Optimization


Sequence-to-Sequence Learning for Indonesian Automatic Question Generator


Sequence-to-Sequence Models for Extracting Information from Registration and Legal Documents


Sequence-to-Sequence Resources for Catalan


Sequence-to-sequence Singing Voice Synthesis with Perceptual Entropy Loss


Sequence-to-sequence neural network models for transliteration


SequenceLab: A Comprehensive Benchmark of Computational Methods for Comparing Genomic Sequences


Sequencer: Deep LSTM for Image Classification


Sequential Action-Induced Invariant Representation for Reinforcement Learning


Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs


Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects


Sequential Attention for Feature Selection


Sequential Bayesian Inference for Uncertain Nonlinear Dynamic Systems: A Tutorial


Sequential Bayesian Learning for Hidden Semi-Markov Models


Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing


Sequential Bayesian experimental design for estimation of extreme-event probability in stochastic dynamical systems


Sequential Bayesian inference for stochastic epidemic models of cumulative incidence


Sequential Bayesian optimal experimental design for structural reliability analysis


Sequential Classification of Misinformation


Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness


Sequential Convex Programming For Non-Linear Stochastic Optimal Control


Sequential Counterfactual Risk Minimization


Sequential Cross Attention Based Multi-task Learning


Sequential Decision Fusion for Environmental Classification in Assistive Walking


Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity


Sequential Deconfounding for Causal Inference with Unobserved Confounders


Sequential Design of Adsorption Simulations in Metal-Organic Frameworks


Sequential Design with Posterior and Posterior Predictive Probabilities


Sequential Diagnosis Prediction with Transformer and Ontological Representation


Sequential Diversification with Provable Guarantees


Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts


Sequential Double Robustness in Right-Censored Longitudinal Models


Sequential Embedding-based Attentive (SEA) classifier for malware classification


Sequential Estimation using Hierarchically Stratified Domains with Latin Hypercube Sampling


Sequential Experimental Design for Predator-Prey Functional Response Experiments


Sequential Experimental Design for Transductive Linear Bandits


Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning


Sequential Gating Ensemble Network for Noise Robust Multi-Scale Face Restoration


Sequential Gaussian Processes for Online Learning of Nonstationary Functions


Sequential Image-based Attention Network for Inferring Force Estimation without Haptic Sensor


Sequential Kalman Tuning of the $t$-preconditioned Crank-Nicolson algorithm: efficient, adaptive and gradient-free inference for Bayesian inverse problems


Sequential Labelling and DNABERT For Splice Site Prediction in Homo Sapiens DNA


Sequential Large Language Model-Based Hyper-parameter Optimization


Sequential Learning of the Pareto Front for Multi-objective Bandits


Sequential Likelihood-Free Inference with Neural Proposal


Sequential Manipulation Planning on Scene Graph


Sequential Maximal Updated Density Parameter Estimation for Dynamical Systems with Parameter Drift


Sequential Memory with Temporal Predictive Coding


Sequential Model for Predicting Patient Adherence in Subcutaneous Immunotherapy for Allergic Rhinitis


Sequential Modeling Enables Scalable Learning for Large Vision Models


Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce


Sequential Models in the Synthetic Data Vault


Sequential Monte Carlo Learning for Time Series Structure Discovery


Sequential Monte Carlo Squared for online inference in stochastic epidemic models


Sequential Monte Carlo algorithms for agent-based models of disease transmission


Sequential Monte Carlo approximations of Wasserstein--Fisher--Rao gradient flows


Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference


Sequential Nature of Recommender Systems Disrupts the Evaluation Process


Sequential Neural Models with Stochastic Layers


Sequential Neural Posterior and Likelihood Approximation


Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models


Sequential Piecewise Linear Programming for Convergent Optimization of Non-Convex Problems


Sequential Planning in Large Partially Observable Environments guided by LLMs


Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks


Sequential Quadratic Optimization for Nonlinear Optimization Problems on Riemannian Manifolds


Sequential Randomized Smoothing for Adversarially Robust Speech Recognition


Sequential Rank and Preference Learning with the Bayesian Mallows Model


Sequential Recommendation Model for Next Purchase Prediction


Sequential Recommendation for Cold-start Users with Meta Transitional Learning


Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention


Sequential Recommendation via Stochastic Self-Attention


Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer


Sequential Recommendation with Controllable Diversification: Representation Degeneration and Diversity


Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling


Sequential Recommendation with Latent Relations based on Large Language Model


Sequential Recommendation with Probabilistic Logical Reasoning


Sequential Recommendation with Self-Attentive Multi-Adversarial Network


Sequential Resource Trading Using Comparison-Based Gradient Estimation


Sequential Scenario-Specific Meta Learner for Online Recommendation


Sequential Score Adaptation with Extreme Value Theory for Robust Railway Track Inspection


Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks


Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks


Sequential Skip Prediction with Few-shot in Streamed Music Contents


Sequential Stratified Regeneration: MCMC for Large State Spaces with an Application to Subgraph Count Estimation


Sequential Training of Neural Networks with Gradient Boosting


Sequential Underspecified Instrument Selection for Cause-Effect Estimation


Sequential Variational Autoencoders for Collaborative Filtering


Sequential Voting Promotes Collective Discovery in Social Recommendation Systems


Sequential Voting with Relational Box Fields for Active Object Detection


Sequential decision problems, dependent types and generic solutions


Sequential design for surrogate modeling in Bayesian inverse problems


Sequential estimation of quantiles with applications to A/B-testing and best-arm identification


Sequential importance sampling for estimating expectations over the space of perfect matchings


Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection


Sequential memory improves sample and memory efficiency in Episodic Control


Sequential modeling of Sessions using Recurrent Neural Networks for Skip Prediction


Sequential mutations in exponentially growing populations


Sequential pCN-MCMC, an efficient MCMC method for Bayesian inversion of high-dimensional multi-Gaussian priors


Sequential seeding in multilayer networks


Sequential stratified inference for the mean


Sequential sum-of-squares programming for analysis of nonlinear systems


Sequential three-way decisions with a single hidden layer feedforward neural network


Sequential time-window learning with approximate Bayesian computation: an application to epidemic forecasting


Sequential vessel segmentation via deep channel attention network


Sequentially Aggregated Convolutional Networks


Sequentially constrained Monte Carlo sampler for quantum states


Sequentially guided MCMC proposals for synthetic likelihoods and correlated synthetic likelihoods


Sequentially valid tests for forecast calibration


Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems


Sequoia: A Software Framework to Unify Continual Learning Research


Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding


Serberus: Protecting Cryptographic Code from Spectres at Compile-Time


Serenade: A Singing Style Conversion Framework Based On Audio Infilling


Serendipitous discovery of radio flaring behaviour from a nearby M dwarf with MeerKAT


Serial Contrastive Knowledge Distillation for Continual Few-shot Relation Extraction


Serial and Parallel Two-Column Probing for Mixed-Integer Programming


Serial and parallel kernelization of Multiple Hitting Set parameterized by the Dilworth number, implemented on the GPU


Serial-OE: Anomalous sound detection based on serial method with outlier exposure capable of using small amounts of anomalous data for training


SerialTrack: ScalE and Rotation Invariant Augmented Lagrangian Particle Tracking


Serialized Interacting Mixed Membership Stochastic Block Model


Series of Hessian-Vector Products for Tractable Saddle-Free Newton Optimisation of Neural Networks


Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification


SeriesBench: A Benchmark for Narrative-Driven Drama Series Understanding


SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning


Serre curves relative to obstructions modulo 2


Serre's uniformity question and proper subgroups of $C_{ns}^+(p)$


ServeGen: Workload Characterization and Generation of Large Language Model Serving in Production


ServeNet: A Deep Neural Network for Web Services Classification


Server-side Fingerprint-Based Indoor Localization Using Encrypted Sorting


Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining


Serverless Federated Learning with flwr-serverless


Serverless Straggler Mitigation using Local Error-Correcting Codes


Serverless on FHIR: Deploying machine learning models for healthcare on the cloud


ServerlessLLM: Low-Latency Serverless Inference for Large Language Models


Service Wrapper: a system for converting web data into web services


Serving DNNs like Clockwork: Performance Predictability from the Bottom Up


Serving Time: Real-Time, Safe Motion Planning and Control for Manipulation of Unsecured Objects


Servo: Increasing the Scalability of Modifiable Virtual Environments Using Serverless Computing -- Extended Technical Report


ServoLNN: Lagrangian Neural Networks Driven by Servomechanisms


Sesame: A power spectrum emulator pipeline for beyond-$Λ$CDM models


Seshat: A tool for managing and verifying annotation campaigns of audio data


Sesquickselect: One and a half pivots for cache-efficient selection


Session Fidelity for ElixirST: A Session-Based Type System for Elixir Modules


Session Types for the Transport Layer: Towards an Implementation of TCP


Session-aware Item-combination Recommendation with Transformer Network


Session-aware Linear Item-Item Models for Session-based Recommendation


Session-based Recommendation with Self-Attention Networks


Set Aggregation Network as a Trainable Pooling Layer


Set It and Forget It! Turnkey ECC for Instant Integration


Set Learning for Accurate and Calibrated Models


Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets


Set Prediction without Imposing Structure as Conditional Density Estimation


Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts


Set operations and order reductions for constrained zonotopes


Set the Clock: Temporal Alignment of Pretrained Language Models


Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation


Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders


Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes


Set-theoretic Localization for Mobile Robots with Infrastructure-based Sensing


Set2Box: Similarity Preserving Representation Learning of Sets


Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation


SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble


SetLexSem Challenge: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models


SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback


SetSketch: Filling the Gap between MinHash and HyperLogLog


SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data


Setigen: Simulating Radio Technosignatures for SETI


Sets of autoencoders with shared latent spaces


Setting an attention region for convolutional neural networks using region selective features, for recognition of materials within glass vessels


Setting the Stage for Cosmic Chronometers. II. Impact of Stellar Population Synthesis Models Systematics and Full Covariance Matrix


Setting the rhythm scene: deep learning-based drum loop generation from arbitrary language cues


Setting up the Data Printer with Improved English to Ukrainian Machine Translation


Settlement Mapping for Population Density Modelling in Disease Risk Spatial Analysis


Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing


Settling Time vs. Accuracy Tradeoffs for Clustering Big Data


Settling the Variance of Multi-Agent Policy Gradients


Setup-Invariant Augmented Reality for Teaching by Demonstration with Surgical Robots


Setwise Coordinate Descent for Dual Asynchronous Decentralized Optimization


Seven-dimensional Trajectory Reconstruction for VAMOS++


Seventeenth-Century Spanish American Notary Records for Fine-Tuning Spanish Large Language Models


Sever: A Robust Meta-Algorithm for Stochastic Optimization


Severity classification of ground-glass opacity via 2-D convolutional neural network and lung CT scans: a 3-day exploration


Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark


SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic Specialisation for Chinese Sexism Detection in Social Media


Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models


Sextactic and type-9 points on the Fermat cubic and associated objects


Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication


SfM-Free 3D Gaussian Splatting via Hierarchical Training


SfM-TTR: Using Structure from Motion for Test-Time Refinement of Single-View Depth Networks


SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification


ShIOEnv: A CLI Behavior-Capturing Environment Enabling Grammar-Guided Command Synthesis for Dataset Curation


ShaDDR: Interactive Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable Rendering


ShaDocFormer: A Shadow-Attentive Threshold Detector With Cascaded Fusion Refiner for Document Shadow Removal


ShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow Removal


ShaRP: A Novel Feature Importance Framework for Ranking


ShaRP: Shape-Regularized Multidimensional Projections


Shades of BLEU, Flavours of Success: The Case of MultiWOZ


ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition


Shadoks Approach to Knapsack Polygonal Packing


Shadoks Approach to Low-Makespan Coordinated Motion Planning


Shadow Accrual Maps: Efficient Accumulation of City-Scale Shadows Over Time


Shadow Art Kanji: Inverse Rendering Application


Shadow Cones: A Generalized Framework for Partial Order Embeddings


Shadow Datasets, New challenging datasets for Causal Representation Learning


Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling


Shadow Neural Radiance Fields for Multi-view Satellite Photogrammetry


Shadow Program Inversion with Differentiable Planning: A Framework for Unified Robot Program Parameter and Trajectory Optimization


Shadow Removal by High-Quality Shadow Synthesis


Shadow Removal by a Lightness-Guided Network with Training on Unpaired Data


Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification


Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought


ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal


ShadowFormer: Global Context Helps Image Shadow Removal


ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer


ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference


ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models


ShadowMaskFormer: Mask Augmented Patch Embeddings for Shadow Removal


ShadowNeuS: Neural SDF Reconstruction by Shadow Ray Supervision


ShadowRefiner: Towards Mask-free Shadow Removal via Fast Fourier Transformer


ShadowSense: Unsupervised Domain Adaptation and Feature Fusion for Shadow-Agnostic Tree Crown Detection from RGB-Thermal Drone Imagery


ShadowTutor: Distributed Partial Distillation for Mobile Video DNN Inference


Shadowing Properties of Optimization Algorithms


Shadows Aren't So Dangerous After All: A Fast and Robust Defense Against Shadow-Based Adversarial Attacks


Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now


Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon


Shakebot: A Low-cost, Open-source Robotic Shake Table for Earthquake Research and Education


Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++


Shakeout: A New Approach to Regularized Deep Neural Network Training


Shakespearean Sparks: The Dance of Hallucination and Creativity in LLMs' Decoding Layers


Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language Modeling


ShakingBot: Dynamic Manipulation for Bagging


Shall We Trust All Relational Tuples by Open Information Extraction? A Study on Speculation Detection


Shallow Cross-Encoders for Low-Latency Retrieval


Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion Models


Shallow Discourse Annotation for Chinese TED Talks


Shallow Embedding of Type Theory is Morally Correct


Shallow Feature Matters for Weakly Supervised Object Localization


Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries


Shallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression Spotting from Long Videos


Shallow Recurrent Decoder for Reduced Order Modeling of Plasma Dynamics


Shallow Transits - Deep Learning II: Identify Individual Exoplanetary Transits in Red Noise using Deep Learning


Shallow and Deep Convolutional Networks for Saliency Prediction


Shallow and Deep Nonparametric Convolutions for Gaussian Processes


Shallow decision trees for explainable $k$-means clustering


Shallow decision-making analysis in General Video Game Playing


Shallow shadows: Expectation estimation using low-depth random Clifford circuits


Shallow-Deep Networks: Understanding and Mitigating Network Overthinking


Shallow-Depth Variational Quantum Hypothesis Testing


Shallow-UWnet : Compressed Model for Underwater Image Enhancement


Shamo: A tool for electromagnetic modeling, simulation and sensitivity analysis of the head


Shap-E: Generating Conditional 3D Implicit Functions


Shap-Select: Lightweight Feature Selection Using SHAP Values and Regression


Shape Adaptor: A Learnable Resizing Module


Shape Anchor Guided Holistic Indoor Scene Understanding


Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations


Shape Change and Control of Pressure-based Soft Agents


Shape Completion in the Dark: Completing Vertebrae Morphology from 3D Ultrasound


Shape Completion with Points in the Shadow


Shape Completion with Prediction of Uncertain Regions


Shape Constrained Tensor Decompositions using Sparse Representations in Over-Complete Libraries


Shape Control of Deformable Linear Objects with Offline and Online Learning of Local Linear Deformation Models


Shape From Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing


Shape Inference and Grammar Induction for Example-based Procedural Generation


Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data


Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding


Shape Matters: Understanding the Implicit Bias of the Noise Covariance


Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction


Shape Preserving Facial Landmarks with Graph Attention Networks


Shape Reconstruction by Learning Differentiable Surface Representations


Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation


Shape Uncertainty Quantification for Electromagnetic Wave Scattering via First-Order Sparse Boundary Element Approximation


Shape and Spatially-Varying Reflectance Estimation From Virtual Exemplars


Shape from Polarization for Complex Scenes in the Wild


Shape from Projections via Differentiable Forward Projector for Computed Tomography


Shape of synth to come: Why we should use synthetic data for English surface realization


Shape optimization of flywheel used in agricultural thresher


Shape registration in the time of transformers


Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising


Shape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field Inversion


Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation


Shape-Aware Fine-Grained Classification of Erythroid Cells


Shape-Constraint Recurrent Flow for 6D Object Pose Estimation


Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification


Shape-Guided Clothing Warping for Virtual Try-On


Shape-IoU: More Accurate Metric considering Bounding Box Shape and Scale


Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images


Shape-aware Surface Reconstruction from Sparse 3D Point-Clouds


Shape-aware synthesis of pathological lung CT scans using CycleGAN for enhanced semi-supervised lung segmentation


Shape-based Evaluation of Epidemic Forecasts


Shape-biased Texture Agnostic Representations for Improved Textureless and Metallic Object Detection and 6D Pose Estimation


Shape-intensity knowledge distillation for robust medical image segmentation


Shape-invariant 3D Adversarial Point Clouds


Shape2.5D: A Dataset of Texture-less Surfaces for Depth and Normals Estimation


Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data


ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis


ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives


ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation


ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model


ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging


ShapeFlow: Dynamic Shape Interpreter for TensorFlow


ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation


ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding


ShapeMOD: Macro Operation Discovery for 3D Shape Programs


ShapeMoiré: Channel-Wise Shape-Guided Network for Image Demoiréing


ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation


ShapePipe: A modular weak-lensing processing and analysis pipeline


Shapechanger: Environments for Transfer Learning


Shapelet-Based Counterfactual Explanations for Multivariate Time Series


Shapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion Shifts


Shaping Political Discourse using multi-source News Summarization


Shaping Visual Representations with Attributes for Few-Shot Recognition


Shaping the distribution of neural responses with interneurons in a recurrent circuit model


Shapley Based Residual Decomposition for Instance Analysis


Shapley Chains: Extending Shapley Values to Classifier Chains


Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork


Shapley Value-driven Data Pruning for Recommender Systems


Shapley Values-enabled Progressive Pseudo Bag Augmentation for Whole Slide Image Classification


Shapley effect estimation in reliability-oriented sensitivity analysis with correlated inputs by importance sampling


Shapley effects and proportional marginal effects for global sensitivity analysis: application to computed tomography scan organ dose estimation


Shapley value-based approaches to explain the robustness of classifiers in machine learning


Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation


Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search


Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework


Shapley-based Explainable AI for Clustering Applications in Fault Diagnosis and Prognosis


Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning


Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning


Share a Tiny Space of Your Freezer to Increase Resilience of Ex-situ Seed Conservation


ShareCMP: Polarization-Aware RGB-P Semantic Segmentation


ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation


ShareGPT4V: Improving Large Multi-Modal Models with Better Captions


ShareTrace: Contact Tracing with the Actor Model


Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples


Shared Certificates for Neural Network Verification


Shared Coupling-bridge for Weakly Supervised Local Feature Learning


Shared Data and Algorithms for Deep Learning in Fundamental Physics


Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning


Shared Generative Latent Representation Learning for Multi-view Clustering


Shared Independent Component Analysis for Multi-Subject Neuroimaging


Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior


Shared Lexical Items as Triggers of Code Switching


Shared Linear Quadratic Regulation Control: A Reinforcement Learning Approach


Shared Memory-contention-aware Concurrent DNN Execution for Diversely Heterogeneous System-on-Chips


Shared SAT Solvers and SAT Memory in Distributed Business Applications


Shared Stochastic Gaussian Process Latent Variable Models: A Multi-modal Generative Model for Quasar Spectra


Shared Subspace Models for Multi-Group Covariance Estimation


Shared Surfaces and Spaces: Collaborative Data Visualisation in a Co-located Immersive Environment


Shared and Private VAEs with Generative Replay for Continual Learning


Shared memory parallelism in Modern C++ and HPX


Shared-Control Robotic Manipulation in Virtual Reality


Shared-Memory Hierarchical Process Mapping


Sharif-STR at SemEval-2024 Task 1: Transformer as a Regression Model for Fine-Grained Scoring of Textual Semantic Relations


SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation


Sharing Frissons among Online Video Viewers: Exploring the Design of Affective Communication for Aesthetic Chills


Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification


Sharing Key Semantics in Transformer Makes Efficient Image Restoration


Sharing Knowledge in Multi-Task Deep Reinforcement Learning


Sharing Matters: Analysing Neurons Across Languages and Tasks in LLMs


Sharing Parameter by Conjugation for Knowledge Graph Embeddings in Complex Space


Sharing Residual Units Through Collective Tensor Factorization in Deep Neural Networks


Sharing and Preserving Computational Analyses for Posterity with encapsulator


Sharing proofs with predicative theories through universe-polymorphic elaboration


Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies


Sharp Bounds for Continuous-Valued Treatment Effects with Unobserved Confounders


Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective


Sharp Bounds on the Variance of General Regression Adjustment in Randomized Experiments


Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion


Sharp Eyes: A Salient Object Detector Working The Same Way as Human Visual Characteristics


Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context


Sharp Threshold Detection Based on Sup-norm Error rates in High-dimensional Models


Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation


Sharp error estimates for target measure diffusion maps with applications to the committor problem


Sharp isoperimetric inequalities on the Hamming cube near the critical exponent


Sharp volume and multiplicity bounds for Fano simplices


Sharp-Interface Limit of the Cahn-Hilliard-Biot Equations


Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning


Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields Using Sharpness Prior


Sharp-PINNs: staggered hard-constrained physics-informed neural networks for phase field modelling of corrosion


SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation


SharpSAT-TD in Model Counting Competitions 2021-2023


SharpZO: Hybrid Sharpness-Aware Vision Language Model Prompt Tuning via Forward-Only Passes


Sharpened Lazy Incremental Quasi-Newton Method


Sharpening Kubernetes Audit Logs with Context Awareness


Sharpening Neural Implicit Functions with Frequency Consolidation Priors


Sharpening the Rosenbaum Sensitivity Bounds to Address Concerns About Interactions Between Observed and Unobserved Covariates


Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling


Sharpness and well-conditioning of nonsmooth convex formulations in statistical signal recovery


Sharpness-Aware Gradient Matching for Domain Generalization


Sharpness-Aware Minimization and the Edge of Stability


Sharpness-Aware Minimization: General Analysis and Improved Rates


Sharpness-aware Low dose CT denoising using conditional generative adversarial network


Shatter and Gather: Learning Referring Image Segmentation with Text Supervision


Shaved Ice: Optimal Compute Resource Commitments for Dynamic Multi-Cloud Workloads


Shavette: Low Power Neural Network Acceleration via Algorithm-level Error Detection and Undervolting


Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood


Shazam: Unifying Multiple Foundation Models for Advanced Computational Pathology


Sheaf-theoretic self-filtering network of low-cost sensors for local air quality monitoring: A causal approach


Shear Thinning from Bond Orientation in Model Unentangled Bottlebrush Polymer Melts


Shear and breathing modes of layered materials


Shear measurement bias II: a fast machine learning calibration method


Shedding Light on Blind Spots: Developing a Reference Architecture to Leverage Video Data for Process Mining


Shedding Light on Low Surface Brightness Galaxies in Dark Energy Survey with Transformers


Shedding Light on Software Engineering-specific Metaphors and Idioms


Shedding More Light on Robust Classifiers under the lens of Energy-based Models


Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances


Shedding light on neutrino self-interactions with solar antineutrino searches


Shedding some light on Light Up with Artificial Intelligence


Sheet Music Transformer: End-To-End Optical Music Recognition Beyond Monophonic Transcription


Sheet diagrams for bimonoidal categories


Sheffield's Submission to the AmericasNLP Shared Task on Machine Translation into Indigenous Languages


SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification


Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection


ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics


Shenfun -- automating the spectral Galerkin method


Shennong: a Python toolbox for audio speech features extraction


Shepherd: A Critic for Language Model Generation


Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning


SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference


Sherlock: A Deep Learning Approach to Semantic Data Type Detection


Sherpa3D: Boosting High-Fidelity Text-to-3D Generation via Coarse 3D Prior


Sherpa: Robust Hyperparameter Optimization for Machine Learning


Shesha: Multi-head Microarchitectural Leakage Discovery in new-generation Intel Processors


ShieldDB: An Encrypted Document Database with Padding Countermeasures


ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors


Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection


Shielding Atari Games with Bounded Prescience


Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection


Shielding Google's language toxicity model against adversarial attacks


Shielding in Resource-Constrained Goal POMDPs


ShifCon: Enhancing Non-Dominant Language Capabilities with a Shift-based Contrastive Framework


Shift If You Can: Counting and Visualising Correction Operations for Beat Tracking Evaluation


Shift-Reduce Constituent Parsing with Neural Lookahead Features


Shift-Reduce Task-Oriented Semantic Parsing with Stack-Transformers


Shift-Robust Molecular Relational Learning with Causal Substructure


Shift-Share Designs: Theory and Inference


Shift-invert diagonalization of large many-body localizing spin chains


ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks


ShiftAddNet: A Hardware-Inspired Deep Network


ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer


ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks


ShiftLIC: Lightweight Learned Image Compression with Spatial-Channel Shift Operations


ShiftNAS: Improving One-shot NAS via Probability Shift


Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation


Shifted Chunk Encoder for Transformer Based Streaming End-to-End ASR


Shifted Interpolation for Differential Privacy


Shifted Randomized Singular Value Decomposition


Shifting AI Efficiency From Model-Centric to Data-Centric Compression


Shifting Capsule Networks from the Cloud to the Deep Edge


Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos


Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding


Shifting Perspective to See Difference: A Novel Multi-View Method for Skeleton based Action Recognition


Shifting from endangerment to rebirth in the Artificial Intelligence Age: An Ensemble Machine Learning Approach for Hawrami Text Classification


Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning


Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification


Shifts in Brain Dynamics and Drivers of Consciousness State Transitions


Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic


Shimo Lab at "Discharge Me!": Discharge Summarization by Prompt-Driven Concatenation of Electronic Health Record Sections


Shimura curves admitting a smooth plane model


ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on


ShinyCOPASI: a web-based exploratory interface for COPASI models


Ship Wake Detection in SAR Images via Sparse Regularization


Ship in Sight: Diffusion Models for Ship-Image Super Resolution


Ship-D: Ship Hull Dataset for Design Optimization using Machine Learning


Shipping traffic through the Arctic Ocean: spatial distribution, temporal evolution and its dependence on the sea ice extent


Shipwright: A Human-in-the-Loop System for Dockerfile Repair


ShizishanGPT: An Agricultural Large Language Model Integrating Tools and Resources


Shoaling on Steep Continental Slopes: Relating Transmission and Reflection Coefficients to Green's Law


Shock cooling emission from explosions of red super-giants: II. An analytic model of deviations from blackbody emission


Shock propagation from the Russia-Ukraine conflict on international multilayer food production network determines global food availability


Shock with Confidence: Formal Proofs of Correctness for Hyperbolic Partial Differential Equation Solvers


Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning


Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data


Shooting Labels: 3D Semantic Labeling by Virtual Reality


Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models


Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search


Shopping Queries Image Dataset (SQID): An Image-Enriched ESCI Dataset for Exploring Multimodal Learning in Product Search


ShorTor: Improving Tor Network Latency via Multi-hop Overlay Routing


Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision


Short Text Hashing Improved by Integrating Multi-Granularity Topics and Tags


Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation


Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data


Short text classification with machine learning in the social sciences: The case of climate change on Twitter


Short wavelength electrostatic wave measurement using MMS spacecraft


Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory


Short-Lived Forward-Secure Delegation for TLS


Short-PHD: Detecting Short LLM-generated Text with Topological Data Analysis After Off-topic Content Insertion


Short-Range Order Based Ultra Fast Large-Scale Modeling of High-Entropy Alloys


Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM


Short-Term Meaning Shift: A Distributional Exploration


Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization


Short-Term Plasticity Neurons Learning to Learn and Forget


Short-Term Postsynaptic Plasticity Facilitates Predictive Tracking in Continuous Attractors


Short-Term Solar Irradiance Forecasting Under Data Transmission Constraints


Short-Term Trajectory Prediction for Full-Immersive Multiuser Virtual Reality with Redirected Walking


Short-Time Fourier Transform for deblurring Variational Autoencoders


Short-Time Infrequent Metadynamics for Improved Kinetics Inference


Short-circuiting Shortcuts: Mechanistic Investigation of Shortcuts in Text Classification


Short-distance commuters in the smart city


Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence


Short-length SSVEP data extension by a novel generative adversarial networks based framework


Short-reach Optical Communications: A Real-world Task for Neuromorphic Hardware


Short-term Load Forecasting with Deep Residual Networks


Short-term Object Interaction Anticipation with Disentangled Object Detection @ Ego4D Short Term Object Interaction Anticipation Challenge


Short-term Precipitation Forecasting in The Netherlands: An Application of Convolutional LSTM neural networks to weather radar data


Short-term Renewable Energy Forecasting in Greece using Prophet Decomposition and Tree-based Ensembles


Short-term Temporal Dependency Detection under Heterogeneous Event Dynamic with Hawkes Processes


Short-term Wind Speed Forecasting for Power Integration in Smart Grids based on Hybrid LSSVM-SVMD Method


Short-term daily precipitation forecasting with seasonally-integrated autoencoder


Short-term plasticity as cause-effect hypothesis testing in distal reward learning


Short-term wind speed forecasting model based on an attention-gated recurrent neural network and error correction strategy


Short-time Fokker-Planck propagator beyond the Gaussian approximation


Short-video Propagation Influence Rating: A New Real-world Dataset and A New Large Graph Model


ShortScience.org - Reproducing Intuition


Shortcomings of Question Answering Based Factuality Frameworks for Error Localization


Shortcut Learning in Medical Image Segmentation


ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models


Shortcuts Everywhere and Nowhere: Exploring Multi-Trigger Backdoor Attacks


Shortcutting Fast Failover Routes in the Data Plane


Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search


Shortest Path Distance in Manhattan Poisson Line Cox Process


Shortest Path Networks for Graph Property Prediction


Shortest Paths in Graphs with Matrix-Valued Edges: Concepts, Algorithm and Application to 3D Multi-Shape Analysis


Shortest path or random walks? A framework for path weights in network meta-analysis


Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks


Shortformer: Better Language Modeling using Shorter Inputs


Shot-Noise Limited Homodyne Detection for MHz Quantum Light Characterisation in the 2 μm Band


Shot2Story20K: A New Benchmark for Comprehensive Understanding of Multi-shot Videos


Shotgun crystal structure prediction using machine-learned formation energies


Shotit: compute-efficient image-to-video search engine for the cloud


Shotluck Holmes: A Family of Efficient Small-Scale Large Language Vision Models For Video Captioning and Summarization


Shouji: A Fast and Efficient Pre-Alignment Filter for Sequence Alignment


Should All Proposals be Treated Equally in Object Detection?


Should Collaborative Robots be Transparent?


Should Cross-Lingual AMR Parsing go Meta? An Empirical Assessment of Meta-Learning and Joint Learning AMR Parsing


Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method


Should I Share this Translation? Evaluating Quality Feedback for User Reliance on Machine Translation


Should I take a walk? Estimating Energy Expenditure from Video Data


Should I visit this place? Inclusion and Exclusion Phrase Mining from Reviews


Should RAG Chatbots Forget Unimportant Conversations? Exploring Importance and Forgetting with Psychological Insights


Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative


Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue


Should We Really Edit Language Models? On the Evaluation of Edited Language Models


Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis


Should We Tailor the Talk? Understanding the Impact of Conversational Styles on Preference Elicitation in Conversational Recommender Systems


Should You Mask 15% in Masked Language Modeling?


Should the choice of BOIN design parameter p.tox only depend on the target DLT rate?


Should we Stop Training More Monolingual Models, and Simply Use Machine Translation Instead?


Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs


Should we tweet this? Generative response modeling for predicting reception of public health messaging on Twitter


Should you marginalize over possible tokenizations?


Shoulder Implant X-Ray Manufacturer Classification: Exploring with Vision Transformer


Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models


Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet


Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data


Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning


Show Me What and Where has Changed? Question Answering and Grounding for Remote Sensing Change Detection


Show Me Your Face, And I'll Tell You How You Speak


Show Me the Instruments: Musical Instrument Retrieval from Mixture Audio


Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations


Show Me the World in My Language: Establishing the First Baseline for Scene-Text to Scene-Text Translation


Show Your Work with Confidence: Confidence Bands for Tuning Curves


Show and Guide: Instructional-Plan Grounded Vision and Language Model


Show and Speak: Directly Synthesize Spoken Description of Images


Show or Tell? A Benchmark To Evaluate Visual and Textual Prompts in Semantic Segmentation


Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner


Show, Attend and Distill:Knowledge Distillation via Attention-based Feature Matching


Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions


Show, Don't Tell: Evaluating Large Language Models Beyond Textual Understanding with ChildPlay


Show, Edit and Tell: A Framework for Editing Image Captions


Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation


Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation


ShowUI: One Vision-Language-Action Model for GUI Visual Agent


Showing Many Labels in Multi-label Classification Models: An Empirical Study of Adversarial Examples


Showing the Receipts: Understanding the Modern Ransomware Ecosystem


Shrewd Selection Speeds Surfing: Use Smart EXP3!


Shrink the longest: improving latent space isotropy with symplicial geometry


Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search


Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation


Shrinkage for Extreme Partial Least-Squares


Shrinkage with shrunken shoulders: Gibbs sampling shrinkage model posteriors with guaranteed convergence rates


Shrinkage-based random local clocks with scalable inference


Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning


Shrinking Embeddings for Hyper-Relational Knowledge Graphs


Shrinking the Semantic Gap: Spatial Pooling of Local Moment Invariants for Copy-Move Forgery Detection


Shrinking unit: a Graph Convolution-Based Unit for CNN-like 3D Point Cloud Feature Extractors


Shuffle Instances-based Vision Transformer for Pancreatic Cancer ROSE Image Classification


Shuffle and Learn: Minimizing Mutual Information for Unsupervised Hashing


Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction


ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks


ShuffleGate: An Efficient and Self-Polarizing Feature Selection Method for Large-Scale Deep Models in Industry


ShuffleMixer: An Efficient ConvNet for Image Super-Resolution


Shuffler: A Large Scale Data Management Tool for ML in Computer Vision


Shunted Self-Attention via Multi-Scale Token Aggregation


Shuo Wen Jie Zi: Rethinking Dictionaries and Glyphs for Chinese Language Pre-training


ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton


Si(100)-SiO$_2$ Trap Density Dependence on Sample Processing


SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States


SiCL: Silhouette-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change


SiCP: Simultaneous Individual and Cooperative Perception for 3D Object Detection in Connected and Automated Vehicles


SiCo: An Interactive Size-Controllable Virtual Try-On Approach for Informed Decision-Making


SiDA-MoE: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models


SiENet: Siamese Expansion Network for Image Extrapolation


SiLLM: Large Language Models for Simultaneous Machine Translation


SiLVR: A Simple Language-based Video Reasoning Framework


SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation


SiMCa: Sinkhorn Matrix Factorization with Capacity Constraints


SiMWiSense: Simultaneous Multi-Subject Activity Classification Through Wi-Fi Signals


SiMa: Effective and Efficient Matching Across Data Silos Using Graph Neural Networks


SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression


SiNeRF: Sinusoidal Neural Radiance Fields for Joint Pose Estimation and Scene Reconstruction


SiReN: Sign-Aware Recommendation Using Graph Neural Networks


SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding


SiSPRNet: End-to-End Learning for Single-Shot Phase Retrieval


SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers


SiT: Symmetry-Invariant Transformers for Generalisation in Reinforcement Learning


SiTAR: Situated Trajectory Analysis for In-the-Wild Pose Error Estimation


SiTH: Single-view Textured Human Reconstruction with Image-Conditioned Diffusion


SiTSE: Sinhala Text Simplification Dataset and Evaluation


SiamAF: Learning Shared Information from ECG and PPG Signals for Robust Atrial Fibrillation Detection


SiamCorners: Siamese Corner Networks for Visual Tracking


SiamEvent: Event-based Object Tracking via Edge-aware Similarity Learning with Siamese Networks


SiamHAN: IPv6 Address Correlation Attacks on TLS Encrypted Traffic via Siamese Heterogeneous Graph Attention Network


SiamMo: Siamese Motion-Centric 3D Object Tracking


SiamQuality: A ConvNet-Based Foundation Model for Imperfect Physiological Signals


SiamTST: A Novel Representation Learning Framework for Enhanced Multivariate Time Series Forecasting applied to Telco Networks


SiamVGG: Visual Tracking using Deeper Siamese Networks


Siamese BERT-based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset


Siamese Box Adaptive Network for Visual Tracking


Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning


Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans


Siamese Image Modeling for Self-Supervised Vision Representation Learning


Siamese Machine Unlearning with Knowledge Vaporization and Concentration


Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers


Siamese Network with Interactive Transformer for Video Object Segmentation


Siamese Networks for Cat Re-Identification: Exploring Neural Models for Cat Instance Recognition


Siamese Object Tracking for Vision-Based UAM Approaching with Pairwise Scale-Channel Attention


Siamese Representation Learning for Unsupervised Relation Extraction


Siamese Residual Neural Network for Musical Shape Evaluation in Piano Performance Assessment


Siamese SIREN: Audio Compression with Implicit Neural Representations


Siamese Tracking with Lingual Object Constraints


Siamese Transformer Pyramid Networks for Real-Time UAV Tracking


Siamese Vision Transformers are Scalable Audio-visual Learners


Siamese-DETR for Generic Multi-Object Tracking


Siamese-NAS: Using Trained Samples Efficiently to Find Lightweight Neural Architecture by Prior Knowledge


Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition


Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning


Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference


Sibyl: Simple yet Effective Agent Framework for Complex Real-world Reasoning


SibylSat: Using SAT as an Oracle to Perform a Greedy Search on TOHTN Planning


Sibylvariant Transformations for Robust Text Classification


SicHash - Small Irregular Cuckoo Tables for Perfect Hashing


Sickle-cell disease diagnosis support selecting the most appropriate machinelearning method: Towards a general and interpretable approach for cellmorphology analysis from microscopy images


Side Information Fusion for Recommender Systems over Heterogeneous Information Network


SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks


Sidebar: Scratchpad Based Communication Between CPUs and Accelerators


Sieve-SDP: a simple facial reduction algorithm to preprocess semidefinite programs


Sieve: A Middleware Approach to Scalable Access Control for Database Management Systems


Sieve: Multimodal Dataset Pruning Using Image Captioning Models


Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates


Sifting through the haystack -- efficiently finding rare animal behaviors in large-scale datasets


Sig-Wasserstein GANs for Time Series Generation


Sig2text, a Vision-language model for Non-cooperative Radar Signal Parsing


SigDiffusions: Score-Based Diffusion Models for Long Time Series via Log-Signature Embeddings


SigFormer: Signature Transformers for Deep Hedging


SigFormer: Sparse Signal-Guided Transformer for Multi-Modal Human Action Segmentation


SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms


SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series


SigMaNet: One Laplacian to Rule Them All


SigT: An Efficient End-to-End MIMO-OFDM Receiver Framework Based on Transformer


SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition


Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics


Sigma index in Trees with Given Degree Sequences


Sigma-point Kalman Filter with Nonlinear Unknown Input Estimation via Optimization and Data-driven Approach for Dynamic Systems


Sigma: A dataset for text-to-code semantic parsing with statistical analysis


Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation


Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network


Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble


Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation


Sign Language Translation from Instructional Videos


Sign Stitching: A Novel Approach to Sign Language Production


Sign and Basis Invariant Networks for Spectral Graph Representation Learning


Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs


Sign language recognition based on deep learning and low-cost handcrafted descriptors


Sign-IDD: Iconicity Disentangled Diffusion for Sign Language Production


Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD


Sign-to-Speech Model for Sign Language Understanding: A Case Study of Nigerian Sign Language


SignAttention: On the Interpretability of Transformer Models for Sign Language Translation


SignBLEU: Automatic Evaluation of Multi-channel Sign Language Translation


SignBank+: Preparing a Multilingual Sign Language Dataset for Machine Translation Using Large Language Models


SignBart -- New approach with the skeleton sequence for Isolated Sign language Recognition


SignCLIP: Connecting Text and Sign Language by Contrastive Learning


SignCol: Open-Source Software for Collecting Sign Language Gestures


SignReLU neural network and its approximation ability


SignSpeak: Open-Source Time Series Classification for ASL Translation


Signal Adaptive Variable Selector for the Horseshoe Prior


Signal Decomposition Using Masked Proximal Operators


Signal Enhancement for Magnetic Navigation Challenge Problem


Signal Enhancement in Distributed Acoustic Sensing Data Using a Guided Unsupervised Deep Learning Network


Signal Injection Attacks against CCD Image Sensors


Signal Inpainting from Fourier Magnitudes


Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss


Signal Prediction by Derivative Samples from the Past via Perfect Reconstruction


Signal Processing Based Deep Learning for Blind Symbol Decoding and Modulation Classification


Signal Processing Meets SGD: From Momentum to Filter


Signal Propagation: A Framework for Learning and Inference In a Forward Pass


Signal Strength and Noise Drive Feature Preference in CNN Image Classifiers


Signal Temporal Logic Control Synthesis among Uncontrollable Dynamic Agents with Conformal Prediction


Signal Watermark on Large Language Models


Signal enhancement for two-dimensional cryo-EM data processing


Signal in Noise: Exploring Meaning Encoded in Random Character Sequences with Character-Aware Language Models


Signal in the noise: temporal variation in exponentially growing populations


Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks


Signal processing techniques for efficient compilation of controlled rotations in trapped ions


Signal reconstruction in diffusion-based molecular communication


Signal recovery from a few linear measurements of its high-order spectra


Signal-domain representation of symbolic music for learning embedding spaces


Signal-to-noise ratio aware minimax analysis of sparse linear regression


Signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors


Signal2Image Modules in Deep Neural Networks for EEG Classification


Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition


Signature Activation: A Sparse Signal View for Holistic Saliency


Signature Correction Attack on Dilithium Signature Scheme


Signature Methods in Stochastic Portfolio Theory


Signature and Log-signature for the Study of Empirical Distributions Generated with GANs


Signature-based models: theory and calibration


Signatured Deep Fictitious Play for Mean Field Games with Common Noise


Signatures and Induction Principles for Higher Inductive-Inductive Types


Signatures of Bayesian inference emerge from energy efficient synapses


Signatures of Cosmic Ray Heating in 21-cm Observables


Signatures of Earth-scattering in the direct detection of Dark Matter


Signatures of cubic gravity in the strong regime


Signatures of electronic ordering in transport in graphene flat bands


Signatures of hierarchical temporal processing in the mouse visual system


Signatures of human-like processing in Transformer forward passes


Signatures of mass ratio reversal in gravitational waves from merging binary black holes


Signatures, Lipschitz-free spaces, and paths of persistence diagrams


Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment


Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-time Dynamics


Signformer is all you need: Towards Edge AI for Sign Language


Significance-Based Categorical Data Clustering


Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition


Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production


Signing in Four Public Software Package Registries: Quantity, Quality, and Influencing Factors


Signs of the Second Coefficients of Hecke Polynomials


Sikkel: Multimode Simple Type Theory as an Agda Library


SikuGPT: A Generative Pre-trained Model for Intelligent Information Processing of Ancient Texts from the Perspective of Digital Humanities


SilVar-Med: A Speech-Driven Visual Language Model for Explainable Abnormality Detection in Medical Imaging


Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation


Silencer: Robust Community Detection by Silencing of Noisy Pixels


Silencing Empowerment, Allowing Bigotry: Auditing the Moderation of Hate Speech on Twitch


Silencing the Risk, Not the Whistle: A Semi-automated Text Sanitization Tool for Mitigating the Risk of Whistleblower Re-Identification


Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow


Silent Killer: A Stealthy, Clean-Label, Black-Box Backdoor Attack


Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation


Silhouette Guided Point Cloud Reconstruction beyond Occlusion


Silhouette based View embeddings for Gait Recognition under Multiple Views


Silhouette: Efficient Protected Shadow Stacks for Embedded Systems


Silkscreen: Direct Measurements of Galaxy Distances from Survey Image Cutouts


Sill-Net: Feature Augmentation with Separated Illumination Representation


Silver Syntax Pre-training for Cross-Domain Relation Extraction


Silver-Bullet-3D at ManiSkill 2021: Learning-from-Demonstrations and Heuristic Rule-based Methods for Object Manipulation


SilverAlign: MT-Based Silver Data Algorithm For Evaluating Word Alignment


SilverSpeak: Evading AI-Generated Text Detectors using Homoglyphs


Sim-Anchored Learning for On-the-Fly Adaptation


Sim-Env: Decoupling OpenAI Gym Environments from Simulation Models


Sim-Grasp: Learning 6-DOF Grasp Policies for Cluttered Environments Using a Synthetic Benchmark


Sim-MEES: Modular End-Effector System Grasping Dataset for Mobile Manipulators in Cluttered Environments


Sim-Suction: Learning a Suction Grasp Policy for Cluttered Environments Using a Synthetic Benchmark


Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving


Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations


Sim-to-Real Deep Reinforcement Learning based Obstacle Avoidance for UAVs under Measurement Uncertainty


Sim-to-Real Grasp Detection with Global-to-Local RGB-D Adaptation


Sim-to-Real Reinforcement Learning for Deformable Object Manipulation


Sim-to-Real Transfer for Mobile Robots with Reinforcement Learning: from NVIDIA Isaac Sim to Gazebo and Real ROS 2 Robots


Sim-to-Real Transfer for Robotic Manipulation with Tactile Sensory


Sim-to-Real Transfer via 3D Feature Fields for Vision-and-Language Navigation


Sim-to-Real of Soft Robots with Learned Residual Physics


Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data


Sim-to-real reinforcement learning applied to end-to-end vehicle control


Sim2Air - Synthetic aerial dataset for UAV monitoring


Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile Sensors


Sim2Real Docs: Domain Randomization for Documents in Natural Scenes using Ray-traced Rendering


Sim2Real Neural Controllers for Physics-based Robotic Deployment of Deformable Linear Objects


Sim2Real Transfer for Vision-Based Grasp Verification


Sim2Real for Environmental Neural Processes


Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data Simulation


Sim2Real in endoscopy segmentation with a novel structure aware image translation


Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems


SimA: Simple Softmax-free Attention for Vision Transformers


SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models


SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly Detection


SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization


SimAb: A simple, fast and flexible model to assess the effects of planet formation on the atmospheric composition of gas giants


SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation


SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen Cameras


SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset


SimBench: A Rule-Based Multi-Turn Interaction Benchmark for Evaluating an LLM's Ability to Generate Digital Twins


SimBle: Generating privacy preserving real-world BLE traces with ground truth


SimCD: Simultaneous Clustering and Differential expression analysis for single-cell transcriptomic data


SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering


SimCKP: Simple Contrastive Learning of Keyphrase Representations


SimCLF: A Simple Contrastive Learning Framework for Function-level Binary Embeddings


SimCMF: A Simple Cross-modal Fine-tuning Strategy from Vision Foundation Models to Any Imaging Modality


SimCPSR: Simple Contrastive Learning for Paper Submission Recommendation System


SimCommSys: Taking the errors out of error-correcting code simulations


SimDC: A High-Fidelity Device Simulation Platform for Device-Cloud Collaborative Computing


SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild


SimFS: A Simulation Data Virtualizing File System Interface


SimFaaS: A Performance Simulator for Serverless Computing Platforms


SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning


SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation


SimHawNet: A Modified Hawkes Process for Temporal Network Simulation


SimICD: A Closed-Loop Simulation Framework For ICD Therapy


SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations


SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models


SimLOD: Simultaneous LOD Generation and Rendering


SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection


SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models


SimLayerKV: A Simple Framework for Layer-Level KV Cache Reduction


SimLoss: Class Similarities in Cross Entropy


SimMAT: Exploring Transferability from Vision Foundation Models to Any Image Modality


SimMC: Simple Masked Contrastive Learning of Skeleton Representations for Unsupervised Person Re-Identification


SimMIM: A Simple Framework for Masked Image Modeling


SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling


SimMatchV2: Semi-Supervised Learning with Graph Consistency


SimMotionEdit: Text-Based Human Motion Editing with Motion Similarity Prediction


SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo


SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation


SimOS: A Python Framework for Simulations of Optically Addressable Spins


SimOn: A Simple Framework for Online Temporal Action Localization


SimPB: A Single Model for 2D and 3D Object Detection from Multiple Cameras


SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification


SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI


SimPO: Simple Preference Optimization with a Reference-Free Reward


SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation


SimPer: Simple Self-Supervised Learning of Periodic Targets


SimPlot++: a Python application for representing sequence similarity and detecting recombination


SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning


SimProcess: High Fidelity Simulation of Noisy ICS Physical Processes


SimROD: A Simple Baseline for Raw Object Detection with Global and Local Enhancements


SimRec: Mitigating the Cold-Start Problem in Sequential Recommendation by Integrating Item Similarity


SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation


SimRelUz: Similarity and Relatedness scores as a Semantic Evaluation dataset for Uzbek language


SimSAM: Simple Siamese Representations Based Semantic Affinity Matrix for Unsupervised Image Segmentation


SimSAM: Zero-shot Medical Image Segmentation via Simulated Interaction


SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models


SimSR: Simple Distance-based State Representation for Deep Reinforcement Learning


SimSwap: An Efficient Framework For High Fidelity Face Swapping


SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation


SimTreeLS: Simulating aerial and terrestrial laser scans of trees


SimTriplet: Simple Triplet Representation Learning with a Single GPU


SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues


SimVG: A Simple Framework for Visual Grounding with Decoupled Multi-modal Fusion


SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation


SimVP: Simpler yet Better Video Prediction


SimViT: Exploring a Simple Vision Transformer with sliding windows


SimWorld: A Unified Benchmark for Simulator-Conditioned Scene Generation via World Model


Simba: A Scalable Bilevel Preconditioned Gradient Method for Fast Evasion of Flat Areas and Saddle Points


SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data


Similar Cases Recommendation using Legal Knowledge Graphs


Similarity Analysis of Contextual Word Representation Models


Similarity Classification of Public Transit Stations


Similarity Distribution based Membership Inference Attack on Person Re-identification


Similarity Downselection: A Python implementation of a heuristic search algorithm for finding the set of the n most dissimilar items with an application in conformer sampling


Similarity Equivariant Graph Neural Networks for Homogenization of Metamaterials


Similarity Learning based Few Shot Learning for ECG Time Series Classification


Similarity Learning via Kernel Preserving Embedding


Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery


Similarity Preserving Adversarial Graph Contrastive Learning


Similarity Reasoning and Filtration for Image-Text Matching


Similarity and Dissimilarity Guided Co-association Matrix Construction for Ensemble Clustering


Similarity and Matching of Neural Network Representations


Similarity encoding for learning with dirty categorical variables


Similarity forces and recurrent components in human face-to-face interaction networks


Similarity matrix average for aggregating multiplex networks


Similarity measure for sparse time course data based on Gaussian processes


Similarity over Factuality: Are we making progress on multimodal out-of-context misinformation detection?


Similarity-Aware Fusion Network for 3D Semantic Segmentation


Similarity-Aware Skill Reproduction based on Multi-Representational Learning from Demonstration


Similarity-Aware Token Pruning: Your VLM but Faster


Similarity-Based Clustering for Enhancing Image Classification Architectures


Similarity-Based Equational Inference in Physics


Similarity-Based Predictive Maintenance Framework for Rotating Machinery


Similarity-Guided Layer-Adaptive Vision Transformer for UAV Tracking


Similarity-Navigated Conformal Prediction for Graph Neural Networks


Similarity-based Feature Extraction for Large-scale Sparse Traffic Forecasting


Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition


Similarity-based Memory Enhanced Joint Entity and Relation Extraction


Similarity-based Neighbor Selection for Graph LLMs


Similarity-based web element localization for robust test automation


Similarity-weighted Construction of Contextualized Commonsense Knowledge Graphs for Knowledge-intense Argumentation Tasks


Simon Says: Evaluating and Mitigating Bias in Pruned Neural Networks with Knowledge Distillation


SimpLex: a lexical text simplification architecture


SimpModeling: Sketching Implicit Field to Guide Mesh Modeling for 3D Animalmorphic Head Design


SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network


Simphony: An open-source photonic integrated circuit simulation framework


SimplE Embedding for Link Prediction in Knowledge Graphs


Simple Approximative Algorithms for Free-Support Wasserstein Barycenters


Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion


Simple Auto-Calibrated Gradient Delay Estimation From Few Spokes Using Radial Intersections (RING)


Simple Baseline for Visual Question Answering


Simple Baselines for Interactive Video Retrieval with Questions and Answers


Simple But Effective Redundant Odometry for Autonomous Vehicles


Simple Cortex: A Model of Cells in the Sensory Nervous System


Simple Cues Lead to a Strong Multi-Object Tracker


Simple Difference-in-Differences Estimation in Fixed-T Panels


Simple Disentanglement of Style and Content in Visual Representations


Simple Distillation Baselines for Improving Small Self-supervised Models


Simple Domain Generalization Methods are Strong Baselines for Open Domain Generalization


Simple End-to-end Deep Learning Model for CDR-H3 Loop Structure Prediction


Simple Entity-Centric Questions Challenge Dense Retrievers


Simple GNNs with Low Rank Non-parametric Aggregators


Simple Guidance Mechanisms for Discrete Diffusion Models


Simple Image-level Classification Improves Open-vocabulary Object Detection


Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation


Simple Kinematic Feedback Enhances Autonomous Learning in Bio-Inspired Tendon-Driven Systems


Simple Local Polynomial Density Estimators


Simple Macroeconomic Forecast Distributions for the G7 Economies


Simple Modification of the Upper Confidence Bound Algorithm by Generalized Weighted Averages


Simple Modifications to Improve Tabular Neural Networks


Simple Multi-Resolution Representation Learning for Human Pose Estimation


Simple Noisy Environment Augmentation for Reinforcement Learning


Simple Path Structural Encoding for Graph Transformers


Simple Pooling Front-ends For Efficient Audio Classification


Simple Python tools for modelling few-level atom-light interactions


Simple RGC: ImageJ plugins for counting retinal ganglion cells and determining the transduction efficiency of viral vectors in retinal wholemounts


Simple Radiology VLLM Test-time Scaling with Thought Graph Traversal


Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data


Simple SIMON: FPGA implementations of the SIMON 64/128 Block Cipher


Simple Semi-supervised Knowledge Distillation from Vision-Language Models via $\mathbf{\texttt{D}}$ual-$\mathbf{\texttt{H}}$ead $\mathbf{\texttt{O}}$ptimization


Simple Stochastic Stopping Games: A Generator and Benchmark Library


Simple Stochastic and Online Gradient DescentAlgorithms for Pairwise Learning


Simple Techniques for Enhancing Sentence Embeddings in Generative Language Models


Simple Transferability Estimation for Regression Tasks


Simple Unsupervised Similarity-Based Aspect Extraction


Simple Unsupervised Summarization by Contextual Matching


Simple algorithms for optimization on Riemannian manifolds with constraints


Simple and Asymmetric Graph Contrastive Learning without Augmentations


Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning


Simple and Effective Input Reformulations for Translation


Simple and Effective Portfolio Construction with Crypto Assets


Simple and Effective Synthesis of Indoor 3D Scenes


Simple and Effective VAE Training with Calibrated Decoders


Simple and Efficient Architectures for Semantic Segmentation


Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes


Simple and Efficient Partial Graph Adversarial Attack: A New Perspective


Simple and Fast Group Robustness by Automatic Feature Reweighting


Simple and Interpretable Probabilistic Classifiers for Knowledge Graphs


Simple and Lightweight Human Pose Estimation


Simple and Robust Loss Design for Multi-Label Learning with Missing Labels


Simple and Scalable Nearest Neighbor Machine Translation


Simple and accurate complete elliptic integrals for the full range of modulus


Simple and efficient methods for local structural analysis in polydisperse hard disk systems


Simple and exact nonlinear pendulum motion for all possible initial conditions


Simple and maximally robust processes with no classical common-cause or direct-cause explanation


Simple and practical DIQKD security analysis via BB84-type uncertainty relations and Pauli correlation constraints


Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completion


Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval


Simple but Effective: CLIP Embeddings for Embodied AI


Simple client-side encryption of personal information with Web Assembly


Simple computer program to calculate arbitrary tightly focused (propagating and evanescent) vector light fields


Simple connectome inference from partial correlation statistics in calcium imaging


Simple coplanar waveguide resonator mask targeting metal-substrate interface


Simple data balancing achieves competitive worst-group-accuracy


Simple deterministic O(n log n) algorithm finding a solution of Erdős-Ginzburg-Ziv theorem


Simple exponential acceleration of the power iteration algorithm


Simple finite elements and multigrid for efficient mass-consistent wind downscaling in a coupled fire-atmosphere model


Simple is what you need for efficient and accurate medical image segmentation


Simple iterative method for generating targeted universal adversarial perturbations


Simple lessons from complex learning: what a neural network model learns about cosmic structure formation


Simple model of complex dynamics of activity patterns in developing networks of neuronal cultures


Simple or Complex? Learning to Predict Readability of Bengali Texts


Simple quasistationary method for simulations of epidemic processes with localized states


Simple statistical methods for unsupervised brain anomaly detection on MRI are competitive to deep learning methods


Simple synthetic data reduces sycophancy in large language models


Simple synthetic molecular dynamics for efficient trajectory generation


Simple third order operator-splitting schemes for stochastic mechanics and field theory