The short-term association between environmental variables and mortality: evidence from Europe


The signaling dimension of two-dimensional and polytopic systems


The singular bivariate quartic tracial moment problem


The size of accretion disks from self-consistent X-ray spectra and UV/optical/NIR photometry fitting: applications to ASASSN-14li and HLX-1


The slow viscous flow around doubly-periodic arrays of infinite slender cylinders


The smallest mono-unstable convex polyhedron with point masses has 8 faces and 11 vertices


The smallest pair of cospectral cubic graphs with different chromatic indexes


The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong


The software design of Gridap: a Finite Element package based on the Julia JIT compiler


The spatial evolution of economic activities and the emergence of cities


The spatiotemporal coupling in delay-coordinates dynamic mode decomposition


The spectra of solar magnetic energy and helicity


The spectroastrometric detectability of nearby Solar System-like exomoons


The spectrum of perturbed (3, 10) minimal model


The speed of traveling waves in a FKPP-Burgers system


The spinorial ball: a macroscopic object of spin-1/2


The splashback radius in symmetron gravity


The split Gibbs sampler revisited: improvements to its algorithmic structure and augmented target distribution


The spring bounces back: Introducing the Strain Elevation Tension Spring embedding algorithm for network representation


The stability of split-preconditioned FGMRES in four precisions


The star cluster age function in the Galactic disc with Gaia DR2: Fewer old clusters and a low cluster formation efficiency


The state learner -- a super learner for right-censored data


The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge


The statistical advantage of automatic NLG metrics at the system level


The statistical and dynamic modeling of the first part of the 2013-2014 Euromaidan protests in Ukraine: The Revolution of Dignity and preceding times


The statistics of Rayleigh-Levy flight extrema


The stellar mass - physical effective radius relation for dwarf galaxies in low-density environments


The stellar mass of the Gaia-Sausage/Enceladus accretion remnant


The stochastic dynamics of early epidemics: probability of establishment, initial growth rate, and infection cluster size at first detection


The storage effect is not about bet-hedging or population stage-structure


The streaming rollout of deep networks - towards fully model-parallel execution


The strength of protein-protein interactions controls the information capacity and dynamical response of signaling networks


The structure and assembly history of cluster-size haloes in Self-Interacting Dark Matter


The structure and topology of an amorphous metal-organic framework


The structure of CaSO4 nanorods -- the precursor of gypsum


The structure of online social networks modulates the rate of lexical change


The sub-arcsecond hard X-ray structure of loop footpoints in a solar flare


The surface of rapidly-rotating neutron stars: implications to neutron star parameter estimation


The switching mechanisms of social network densification


The synthetic instrument: From sparse association to sparse causation


The taste of IPA: Towards open-vocabulary keyword spotting and forced alignment in any language


The temporal dynamics of group interactions in higher-order social networks


The temporal overfitting problem with applications in wind power curve modeling


The tensor t-function: a definition for functions of third-order tensors


The thermal index of neutron-star matter in the virial approximation


The thermalization of $γ$-rays in radioactive expanding ejecta: A simple model and its application for Kilonovae and Ia SNe


The thesan project: public data release of radiation-hydrodynamic simulations matching reionization-era JWST observations


The tidal evolution of the Fornax dwarf spheroidal and its globular clusters


The time-variable ultraviolet sky: Active Galactic Nuclei, Stars and White Dwarfs


The torsion order in knot Floer homology is multiplicative for L-space knots under cabling


The trouble beyond $H_0$ and the new cosmic triangles


The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems


The tunnel number of all 11 and 12 crossing alternating knots


The two-dimensional pressure structure of the HD 163296 protoplanetary disk as probed by multi-molecule kinematics


The ultimate upper bound on the injectivity radius of the Stiefel manifold


The ultra narrow FRB20191107B, and the origins of FRB scattering


The ultra-dense, interacting environment of a dual AGN at z $\sim$ 3.3 revealed by JWST/NIRSpec IFS


The ultrametric Gromov-Wasserstein distance


The ultraspherical spectral element method


The underlying connections between identifiability, active subspaces, and parameter space dimension reduction


The underlying structures of self-attention: symmetry, directionality, and emergent dynamics in Transformer training


The unequal-time matter power spectrum: impact on weak lensing observables


The unexpected narrowness of eccentric debris rings: a sign of eccentricity during the protoplanetary disc phase


The universal multiplicity function: counting halos and voids


The universality in urban commuting across and within cities


The unpopular Package: a Data-driven Approach to De-trend TESS Full Frame Image Light Curves


The unreasonable effectiveness of the forget gate


The unseen host galaxy and high dispersion measure of a precisely-localised Fast Radio Burst suggests a high-redshift origin


The use of cross validation in the analysis of designed experiments


The use of restricted mean survival time to estimate treatment effect under model misspecification, a simulation study


The value of hedging against energy storage uncertainties when designing energy parks


The variable radio jet of the accreting neutron star the Rapid Burster


The vehicle routing problem with drones and drone speed selection


The verification of periodicity with the use of recurrent neural networks


The viewing angle in AGN SED models, a data-driven analysis


The volume polynomial of lattice polygons


The voraus-AD Dataset for Anomaly Detection in Robot Applications


The weirdest SDSS galaxies: results from an outlier detection algorithm


The xyz algorithm for fast interaction search in high-dimensional data


The young massive star cluster Westerlund 2 observed with MUSE. III. A cluster in motion -- the complex internal dynamics


TheGlueNote: Learned Representations for Robust and Flexible Note Alignment


TheHaloMod: An online calculator for the halo model


TheaterGen: Character Management with LLM for Consistent Multi-turn Image Generation


Theedhum Nandrum@Dravidian-CodeMix-FIRE2020: A Sentiment Polarity Classifier for YouTube Comments with Code-switching between Tamil, Malayalam and English


Theia: Distilling Diverse Vision Foundation Models for Robot Learning


Their currents turn awry, and lose the name of action. I: Fundamental limits to orbit reconstruction due to non-conservation of stellar actions


Theme Aspect Argumentation Model for Handling Fallacies


Theme Enrichment Analysis: A Statistical Test for Identifying Significantly Enriched Themes in a List of Stories with an Application to the Star Trek Television Franchise


Theme Transformer: Symbolic Music Generation with Theme-Conditioned Transformer


ThemeStation: Generating Theme-Aware 3D Assets from Few Exemplars


Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability


Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models


TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts


TheoremQA: A Theorem-driven Question Answering dataset


Theoretical Analysis and Evaluation of NoCs with Weighted Round-Robin Arbitration


Theoretical Analysis of Exciton Wave Packet Dynamics in Polaritonic Wires


Theoretical Analysis of Offline Imitation With Supplementary Dataset


Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach


Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs


Theoretical Foundations of Community Rating by a Private Monopolist Insurer: Framework, Regulation, and Numerical Analysis


Theoretical Guarantees for the Statistical Finite Element Method


Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems


Theoretical Insights into Line Graph Transformation on Graph Learning


Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning


Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning


Theoretical Lower Bounds for the Oven Scheduling Problem


Theoretical Modeling of the Iterative Properties of User Discovery in a Collaborative Filtering Recommender System


Theoretical Predictions for the Inner Dark Matter Distribution in the Milky Way Informed by Simulations


Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags


Theoretical Understanding of Learning from Adversarial Perturbations


Theoretical and Empirical Analysis of a Fast Algorithm for Extracting Polygons from Signed Distance Bounds


Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks


Theoretical and Numerical Analysis of 3D Reconstruction Using Point and Line Incidences


Theoretical and computational tools to model multistable gene regulatory networks


Theoretical bounds on the network community profile from low-rank semi-definite programming


Theoretical characterization of uncertainty in high-dimensional linear classification


Theoretical constraints on masses of heavy particles in Left-Right Symmetric Models


Theoretical error estimates for computing the matrix logarithm by Padé-type approximants


Theoretical formalism for collective spin-wave edge excitations in arrays of dipolarly interacting magnetic nanodots


Theoretical guarantees for neural control variates in MCMC


Theoretical insights and an experimental comparison of tango trees and multi-splay trees


Theoretical model of membrane protrusions driven by curved active proteins


Theoretical modeling of approximate universality of tidally deformed neutron stars


Theoretical priors in scalar-tensor cosmologies: Thawing quintessence


Theoretical wavelet $\ell_1$-norm from one-point PDF prediction


Theoretically Achieving Continuous Representation of Oriented Bounding Boxes


Theoretically Motivated Data Augmentation and Regularization for Portfolio Construction


Theoretically and Practically Efficient Parallel Nucleus Decomposition


Theoretically-Efficient and Practical Parallel DBSCAN


Theory and Algorithms for Shapelet-based Multiple-Instance Learning


Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources


Theory and Evaluation Metrics for Learning Disentangled Representations


Theory and Experimental Demonstration of Wigner Tomography of Unknown Unitary Quantum Gates


Theory and Fast Learned Solver for $\ell^1$-TV Regularization


Theory and Practice of Finding Eviction Sets


Theory and implementation of inelastic Constitutive Artificial Neural Networks


Theory of Microphase Separation in Elastomers


Theory of Mind for Deep Reinforcement Learning in Hanabi


Theory of Mind for Multi-Agent Collaboration via Large Language Models


Theory of Non-Interacting Fermions and Bosons in the Canonical Ensemble


Theory of Turbulent Equilibrium Spheres with Power-Law Linewidth-Size Relation


Theory of shifts, shocks, and the intimate connections to $L^2$-type a posteriori error analysis of numerical schemes for hyperbolic problems


Theory of x-ray absorption spectroscopy for ferrites


Theory, Analysis, and Best Practices for Sigmoid Self-Attention


Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models


Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method


Theory-independent monitoring of the decoherence of a superconducting qubit with generalized contextuality


Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration


Therapeutic target discovery using Boolean network attractors: improvements of kali


Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development


There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory


There Once Was a Really Bad Poet, It Was Automated but You Didn't Know It


There and Back Again: On the relation between noises, images, and their inversions in diffusion models


There and Back Again: Revisiting Backpropagation Saliency Methods


There are no primitive Teichmüller curves in $\Prym(2,2)$


There is no (75,32,10,16) strongly regular graph


There is no Double-Descent in Random Forests


There is no fast lunch: an examination of the running speed of evolutionary algorithms in several languages


There is no perfect Mondrian partition for squares of side lengths less than 1001


There's No Comparison: Reference-less Evaluation Metrics in Grammatical Error Correction


Thermal Chameleon: Task-Adaptive Tone-mapping for Radiometric Thermal-Infrared images


Thermal Comfort in Sight: Thermal Affordance and its Visual Assessment for Sustainable Streetscape Design


Thermal Conductivity Predictions with Foundation Atomistic Models


Thermal Desorption Kinetics, Binding Energies, and Entrapment of Methyl Mercaptan Ices


Thermal Detection of People with Mobility Restrictions for Barrier Reduction at Traffic Lights Controlled Intersections


Thermal Electrons in Mildly-relativistic Synchrotron Blast-waves


Thermal Fluctuations of Singular Bar-Joint Mechanisms


Thermal Image Processing via Physics-Inspired Deep Networks


Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields


Thermal Infrared Image Colorization for Nighttime Driving Scenes with Top-Down Guided Attention


Thermal Lensing Effects in Two-Photon Light-Sheet Microscopy


Thermal One-point Functions and Their Partial Wave Decomposition


Thermal Spread Functions (TSF): Physics-guided Material Classification


Thermal Transport in Twisted Bilayer Graphene: An Equilibrium Molecular Dynamics Study


Thermal and IR Drop Analysis Using Convolutional Encoder-Decoder Networks


Thermal and mechanical study of a parametrised cryostat model for optical characterisation of upcoming CMB experiments


Thermal and optical conductivity in the Holstein model at half filling and at finite temperature in the Luttinger-liquid and charge-density-wave regime


Thermal cycle and polaron formation in structured bosonic environments


Thermal disorder and phonon softening in the ferroelectric phase transition of lead titanate


Thermal effects on a global monopole with Robin boundary conditions


Thermal half-lives of azobenzene derivatives: virtual screening based on intersystem crossing using a machine learning potential


Thermal radiation pressure as a possible mechanism for losing small particles on asteroids


Thermal to Visible Face Recognition Using Deep Autoencoders


Thermal variational quantum simulation on a superconducting quantum processor


Thermal-NeRF: Neural Radiance Fields from an Infrared Camera


Thermal/epithermal neutron detection via LiO$_{2}$-doped fiber bundles: A computational study through GEANT4 simulations


Thermal3D-GS: Physics-induced 3D Gaussians for Thermal Infrared Novel-view Synthesis


ThermalGaussian: Thermal 3D Gaussian Splatting


ThermoNeRF: Joint RGB and Thermal Novel View Synthesis for Building Facades using Multimodal Neural Radiance Fields


Thermocapillary Thin Films: Periodic Steady States and Film Rupture


Thermodynamic Properties of Ice: A Monte Carlo Study


Thermodynamic and kinetic modeling of Mn-Ni-Si precipitates in low-Cu reactor pressure vessel steels


Thermodynamic consistency and structure-preservation in summation by parts methods for the moist compressible Euler equations


Thermodynamic constraints on the citric acid cycle and related reactions in ocean world interiors


Thermodynamic efficiency of contagions: A statistical mechanical analysis of the SIS epidemic model


Thermodynamic modeling for numerical simulations based on the generalized cubic equation of state


Thermodynamic origins of topological protection in nonequilibrium stochastic systems


Thermodynamic speed limits for co-evolving systems


Thermodynamical Material Networks for Modeling, Planning, and Control of Circular Material Flows


Thermodynamics of alkali feldspar solid solutions with varying Al-Si order: atomistic simulations using a neural network potential


Thermodynamics of an updated hadronic resonance list and influence on hadronic transport


Thermodynamics of the Hubbard Model on the Bethe Lattice


Thermodynamics of the Ising model encoded in restricted Boltzmann machines


Thermodynamics-based Artificial Neural Networks for constitutive modeling


Thermodynamics-inspired Explanations of Artificial Intelligence


Thermoelectric Properties of Type-I and Type-II Nodal Line Semimetals: A Comparative Study


Thermofield Theory for Finite-Temperature Quantum Chemistry


Thermometer: Towards Universal Calibration for Large Language Models


Thermophotovoltaic performance metrics and techno-economics: efficiency vs. power density


Thermophysical Modelling of Eclipse and Occultation Events in Binary Asteroid Systems


Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools


These Deals Won't Last! Longevity, Uniformity and Bias in Product Badge Assignment in E-Commerce Platforms


These Maps Are Made For Walking: Real-Time Terrain Property Estimation for Mobile Robots


These are Not All the Features You are Looking For: A Fundamental Bottleneck In Supervised Pretraining


Theta Nullvalues of Supersingular Abelian varieties


Theta sequences as eligibility traces: a biological solution to credit assignment


Thetacrypt: A Distributed Service for Threshold Cryptography


They See Me Rollin': Inherent Vulnerability of the Rolling Shutter in CMOS Image Sensors


Thieves on Sesame Street! Model Extraction of BERT-based APIs


Thin monodromy in $\mathrm{Sp}(4)$ and $\mathrm{Sp}(6)$


Thin-Plate Spline Motion Model for Image Animation


Thin-Plate Spline-based Interpolation for Animation Line Inbetweening


ThinCurr: An open-source 3D thin-wall eddy current modeling code for the analysis of large-scale systems of conducting structures


ThinResNet: A New Baseline for Structured Convolutional Networks Pruning


Things not Written in Text: Exploring Spatial Commonsense from Visual Signals


Things that might go bump in the night: Assessing structure in the binary black hole mass spectrum


Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language Tasks


Think Before You Act: Decision Transformers with Working Memory


Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue


Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting


Think Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering Hate


Think Locally, Act Globally: Federated Learning with Local and Global Representations


Think Locally, Act Locally: The Detection of Small, Medium-Sized, and Large Communities in Large Networks


Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction


Think Smart, Act SMARL! Analyzing Probabilistic Logic Shields for Multi-Agent Reinforcement Learning


Think Step by Step: Chain-of-Gesture Prompting for Error Detection in Robotic Surgical Videos


Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning


Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts


Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation


Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving


Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering Models


Think Twice: Perspective-Taking Improves Large Language Models' Theory-of-Mind Capabilities


Think Visually: Question Answering through Virtual Imagery


Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation


Think before you shrink: Alternatives to default shrinkage methods can improve prediction accuracy, calibration and coverage


Think in Safety: Unveiling and Mitigating Safety Alignment Collapse in Multimodal Large Reasoning Model


Think or Not Think: A Study of Explicit Thinking in Rule-Based Visual Reinforcement Fine-Tuning


Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens


Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models


Think, Act, and Ask: Open-World Interactive Personalized Robot Navigation


Think-J: Learning to Think for Generative LLM-as-a-Judge


Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models


Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation


Think-on-Process: Dynamic Process Generation for Collaborative Development of Multi-Agent System


ThinkEdit: Interpretable Weight Editing to Mitigate Overly Short Thinking in Reasoning Models


ThinkGeo: Evaluating Tool-Augmented Agents for Remote Sensing Tasks


ThinkGuard: Deliberative Slow Thinking Leads to Cautious Guardrails


ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning


ThinkRec: Thinking-based recommendation via LLM


ThinkRepair: Self-Directed Automated Program Repair


ThinkTank: A Framework for Generalizing Domain-Specific AI Agent Systems into Universal Collaborative Intelligence Platforms


ThinkVideo: High-Quality Reasoning Video Segmentation with Chain of Thoughts


Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visual Hallucination


Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems


Thinking Fast and Right: Balancing Accuracy and Reasoning Length with Adaptive Rewards


Thinking Forward and Backward: Effective Backward Planning with Large Language Models


Thinking Forward: Memory-Efficient Federated Finetuning of Language Models


Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation


Thinking Hallucination for Video Captioning


Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute


Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting


Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations


Thinking Twice: Clinical-Inspired Thyroid Ultrasound Lesion Detection Based on Feature Feedback


Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning


Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again


Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues


Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces


Thinking inside The Box: Learning Hypercube Representations for Group Recommendation


Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction


Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers


Third Time's the Charm? Image and Video Editing with StyleGAN3


Third post-Newtonian effective-one-body Hamiltonian in scalar-tensor and Einstein-scalar-Gauss-Bonnet gravity


Third-Party Aligner for Neural Word Alignments


Third-Party Language Model Performance Prediction from Instruction


Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller


Third-order corrections to the slow-roll expansion: calculation and constraints with Planck, ACT, SPT, and BICEP/Keck


Thirty-Two Years of IEEE VIS: Authors, Fields of Study and Citations


This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation


This Is Your Doge, If It Please You: Exploring Deception and Robustness in Mixture of LLMs


This Is the Moment for Probabilistic Loops


This Just In: Fake News Packs a Lot in Title, Uses Simpler, Repetitive Content in Text Body, More Similar to Satire than Real News


This Land is {Your, My} Land: Evaluating Geopolitical Biases in Language Models


This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition


This Looks Like That: Deep Learning for Interpretable Image Recognition


This Must Be the Place: Predicting Engagement of Online Communities in a Large-scale Distributed Campaign


This Paper Had the Smartest Reviewers -- Flattery Detection Utilising an Audio-Textual Transformer-Based Approach


This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text


This Probably Looks Exactly Like That: An Invertible Prototypical Network


This Reads Like That: Deep Learning for Interpretable Natural Language Processing


This Time is Different: An Observability Perspective on Time Series Foundation Models


This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization


This actually looks like that: Proto-BagNets for local and global interpretability-by-design


This changes to that : Combining causal and non-causal explanations to generate disease progression in capsule endoscopy


This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish


This looks like what? Challenges and Future Research Directions for Part-Prototype Models


This part looks alike this: identifying important parts of explained instances and prototypes


Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox


Thompson Sampling for Bandit Learning in Matching Markets


Thompson Sampling for Linearly Constrained Bandits


Thompson Sampling for Robust Transfer in Multi-Task Bandits


Thompson Sampling with Information Relaxation Penalties


ThorFI: A Novel Approach for Network Fault Injection as a Service


Thoracic Cartilage Ultrasound-CT Registration using Dense Skeleton Graph


Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing


Those Aren't Your Memories, They're Somebody Else's: Seeding Misinformation in Chat Bot Memories


Thoth: Improved Rapid Serial Visual Presentation using Natural Language Processing


Thought Cloning: Learning to Think while Acting by Imitating Human Thinking


Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent


Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension


Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)


ThoughtSource: A central hub for large language model reasoning data


Thread Counting in Plain Weave for Old Paintings Using Semi-Supervised Regression Deep Learning Models


Thread review sentimental analysis with tkinter GUI & tableau dashboard


Threaded Gröbner Bases: a Macaulay2 package


Threading the Needle: Reweaving Chain-of-Thought Reasoning to Explain Human Label Variation


Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs


Threat Behavior Textual Search by Attention Graph Isomorphism


Threat Model-Agnostic Adversarial Defense using Diffusion Models


Threat Trekker: An Approach to Cyber Threat Hunting


Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images


Three Algorithms for Merging Hierarchical Navigable Small World Graphs


Three Dimensional Optimal Spectral Extraction (TDOSE) from Integral Field Spectroscopy


Three Disclaimers for Safe Disclosure: A Cardwriter for Reporting the Use of Generative AI in Writing Process


Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning


Three Heads Are Better Than One: Complementary Experts for Long-Tailed Semi-supervised Learning


Three Learning Stages and Accuracy-Efficiency Tradeoff of Restricted Boltzmann Machines


Three Operator Splitting with a Nonconvex Loss Function


Three Pillars improving Vision Foundation Model Distillation for Lidar


Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks


Three Ways of Using Large Language Models to Evaluate Chat


Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations


Three faces of node importance in network epidemiology: Exact results for small graphs


Three for one and one for three: Flow, Segmentation, and Surface Normals


Three hypergraph eigenvector centralities


Three principles for modernizing an undergraduate regression analysis course


Three tiers of computation in transformers and in brain architectures


Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild"


Three-Dimensional Alignment of Density Maps in Cryo-Electron Microscopy


Three-Dimensional Fourier Scattering Transform and Classification of Hyperspectral Images


Three-Dimensional Reconstruction of Weak-Lensing Mass Maps with a Sparsity Prior. II. Weighing Triaxial Cluster Halos


Three-Dimensional Segmentation of Vesicular Networks of Fungal Hyphae in Macroscopic Microscopy Image Stacks


Three-Dimensional Vehicle Dynamics State Estimation for High-Speed Race Cars under varying Signal Quality


Three-Dimensional, Multimodal Synchrotron Data for Machine Learning Applications


Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table Tennis


Three-Stream Temporal-Shift Attention Network Based on Self-Knowledge Distillation for Micro-Expression Recognition


Three-Torsion Subgroups and Conductors of Genus 3 Hyperelliptic Curves


Three-body problem -- from Newton to supercomputer plus machine learning


Three-dimensional Backbone Network for 3D Object Detection in Traffic Scenes


Three-dimensional buoyant hydraulic fracture growth: constant release from a point source


Three-dimensional dynamical evolution of cloud particle microphysics in sub-stellar atmospheres I. Description and exploring Y-dwarf atmospheric variability


Three-dimensional granular flow continuum modeling via material point method with hyperelastic nonlocal granular fluidity


Three-dimensional magnetic field imaging of protoplanetary disks using Zeeman broadening and linear polarization observations


Three-dimensional magneto-thermal evolution of off-centred dipole magnetic field configurations in neutron stars


Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics


Three-dimensional phase-field simulations of water freezing and thawing at pore-scale


Three-dimensional tomographic imaging of the magnetization vector field using Fourier transform holography


Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning


Three-level Hierarchical Transformer Networks for Long-sequence and Multiple Clinical Documents Classification


Three-outcome multipartite Bell inequalities: applications to dimension witnessing and spin-nematic squeezing in many-body systems


Three-view Focal Length Recovery From Homographies


ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation


ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections


Threshold Adaptation in Spiking Networks Enables Shortest Path Finding and Place Disambiguation


Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds


Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks


Threshold-Independent Fair Matching through Score Calibration


Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic Segmentation


Threshold-free estimation of entropy from a Pearson matrix


Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery


Thrill: High-Performance Algorithmic Distributed Batch Data Processing with C++


Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification


Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification


Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching


Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes


Through the Static: Demystifying Malware Visualization via Explainability


Through the Stealth Lens: Rethinking Attacks and Defenses in RAG


Through-Wall Imaging based on WiFi Channel State Information


Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural Networks


Throughput Maximization in Multi-Band Optical Networks with Column Generation


Throughput Optimal Routing in Blockchain Based Payment Systems


Throughput-Optimal Topology Design for Cross-Silo Federated Learning


ThrowBench: Benchmarking LLMs by Predicting Runtime Exceptions


Thrust Microstepping via Acceleration Feedback in Quadrotor Control for Aerial Grasping of Dynamic Payload


Thrust based on changes in angular momentum


ThunderKittens: Simple, Fast, and Adorable AI Kernels


Thunderdome: Timelock-Free Rationally-Secure Virtual Channels


Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model


Thwarting Cybersecurity Attacks with Explainable Concept Drift


Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images


Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics


TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization


TiBiX: Leveraging Temporal Information for Bidirectional X-ray and Report Generation


TiC-CLIP: Continual Training of CLIP Models


TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining


TiC: Exploring Vision Transformer in Convolution


TiDAL: Learning Training Dynamics for Active Learning


TiEBe: Tracking Language Model Recall of Notable Worldwide Events Through Time


TiG-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning


TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation


TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations


TiLT: A Time-Centric Approach for Stream Query Optimization and Parallelization


TiMix: Text-aware Image Mixing for Effective Vision-Language Pre-training


TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series


TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing


TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning


TiSpell: A Semi-Masked Methodology for Tibetan Spelling Correction covering Multi-Level Error with Data Augmentation


TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenarios


TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play


Ticker: A System for Incremental ASP-based Stream Reasoning


Tidal Deformability of Fermion-Boson Stars: Neutron Stars Admixed with Ultra-Light Dark Matter


Tidal Inflation Reconciles Low-Density Sub-Saturns with Core Accretion


Tidal Love numbers and quasi-normal modes of the Schwarzschild-Hernquist black hole


Tidal Love numbers of gravitational atoms


TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention


Tidally-driven Roche-Lobe Overflow of Hot Jupiters with MESA


Tidiness Score-Guided Monte Carlo Tree Search for Visual Tabletop Rearrangement


TidyBot: Personalized Robot Assistance with Large Language Models


Tidying Deep Saliency Prediction Architectures


TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection


Tied-Augment: Controlling Representation Similarity Improves Data Augmentation


Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors


Tiered Acquisition for Constrained Bayesian Optimization: An Application to Analog Circuits


Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret


Tiered Reward: Designing Rewards for Specification and Fast Learning of Desired Behavior


Tierkreis: A Dataflow Framework for Hybrid Quantum-Classical Computing


TigerLLM -- A Family of Bangla Large Language Models


Tight Bounds for Repeated Balls-into-Bins


Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations


Tight Collision Probability for UAV Motion Planning in Uncertain Environment


Tight Concentrations and Confidence Sequences from the Regret of Universal Portfolio


Tight Distribution-Free Confidence Intervals for Local Quantile Regression


Tight Lieb-Robinson Bound for approximation ratio in Quantum Annealing


Tight Lower Bounds and Improved Convergence in Performative Prediction


Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization


Tight PAC-Bayesian Risk Certificates for Contrastive Learning


Tight Practical Bounds for Subgraph Densities in Ego-centric Networks


Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies


Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits


Tight Second-Order Certificates for Randomized Smoothing


Tight Verification of Probabilistic Robustness in Bayesian Neural Networks


Tight analyses of first-order methods with error feedback


Tight and Compact Sample Average Approximation for Joint Chance-constrained Problems with Applications to Optimal Power Flow


Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers


Tight bounds for antidistinguishability and circulant sets of pure quantum states


Tight lower bounds for Dynamic Time Warping


Tight multi-messenger constraints on the neutron star equation of state from GW170817 and a forward model for kilonova light curve synthesis


Tightening Causal Bounds via Covariate-Aware Optimal Transport


Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone


Tightening the Biological Constraints on Gradient-Based Predictive Coding


Tighter Abstract Queries in Neural Network Verification


Tighter Bounds on Directed Ramsey Number R(7)


Tighter Bounds on the Independence Number of the Birkhoff Graph


Tighter Bounds on the Information Bottleneck with Application to Deep Learning


Tighter Information-Theoretic Generalization Bounds from Supersamples


Tighter Learning Guarantees on Digital Computers via Concentration of Measure on Finite Spaces


Tighter bounds on transient moments of stochastic chemical systems


Tighter risk certificates for neural networks


Tighter yet more tractable relaxations and nontrivial instance generation for sparse standard quadratic optimization


Tightest bound on hidden entropy production from partially observed dynamics


Tightly Integrated Motion Classification and State Estimation in Foot-Mounted Navigation Systems


Tightly Joining Positioning and Control for Trustworthy Unmanned Aerial Vehicles Based on Factor Graph Optimization in Urban Transportation


Tightly-coupled Visual-DVL-Inertial Odometry for Robot-based Ice-water Boundary Exploration


Tightness-aware Evaluation Protocol for Scene Text Detection


Tigris: Architecture and Algorithms for 3D Perception in Point Clouds


Tik-Tok: The Utility of Packet Timing in Website Fingerprinting Attacks


TikTag: Breaking ARM's Memory Tagging Extension with Speculative Execution


TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World


TikTok's recommendations skewed towards Republican content during the 2024 U.S. presidential race


Tile Compression and Embeddings for Multi-Label Classification in GeoLifeCLEF 2024


Tile-Based ViT Inference with Visual-Cluster Priors for Zero-Shot Multi-Species Plant Identification


TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network


Tiling with triangles: parquet and $GWγ$ methods unified


Till the Layers Collapse: Compressing a Deep Neural Network through the Lenses of Batch Normalization Layers


Tilsotua: Reproducing Slitmask Sky Positions for use with the LRIS Multislit Archive


Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration


Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers


Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning


Tilted biorthogonal ensembles, Grothendieck random partitions, and determinantal tests


Tilting Uranus via Secular Spin-Orbit Resonance with Planet 9


Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions


TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based Systems


TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry Operations


Timbre Classification of Musical Instruments with a Deep Learning Multi-Head Attention-Based Model


Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks


Time Can Invalidate Algorithmic Recourse


Time Complexity Analysis of an Evolutionary Algorithm for approximating Nash Equilibriums


Time Delay Cosmography: Analysis of Quadruply Lensed QSO SDSSJ1433 from Wendelstein Observatory


Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods


Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations


Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting


Time Fairness in Online Knapsack Problems


Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation


Time Is MattEr: Temporal Self-supervision for Video Transformers


Time Majority Voting, a PC-based EEG Classifier for Non-expert Users


Time Masking for Temporal Language Models


Time Matters: Examine Temporal Effects on Biomedical Language Models


Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring


Time Series Alignment with Global Invariances


Time Series Analysis for Education: Methods, Applications, and Future Directions


Time Series Analysis of Blockchain-Based Cryptocurrency Price Changes


Time Series Analysis: yesterday, today, tomorrow


Time Series Anomaly Detection by Cumulative Radon Features


Time Series Anomaly Detection for Cyber-Physical Systems via Neural System Identification and Bayesian Filtering


Time Series Anomaly Detection using Diffusion-based Models


Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding


Time Series Classification for Detecting Parkinson's Disease from Wrist Motions


Time Series Clustering With Random Convolutional Kernels


Time Series Clustering with General State Space Models via Stochastic Variational Inference


Time Series Clustering with an EM algorithm for Mixtures of Linear Gaussian State Space Models


Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations


Time Series Contrastive Learning with Information-Aware Augmentations


Time Series Data Augmentation as an Imbalanced Learning Problem


Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders


Time Series Diffusion in the Frequency Domain


Time Series Domain Adaptation via Latent Invariant Causal Mechanism


Time Series Embedding Methods for Classification Tasks: A Review


Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs


Time Series Forecasting via Learning Convolutionally Low-Rank Models


Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities


Time Series Foundational Models: Their Role in Anomaly Detection and Prediction


Time Series Prediction by Multi-task GPR with Spatiotemporal Information Transformation


Time Series Prediction for Food sustainability


Time Series Prediction under Distribution Shift using Differentiable Forgetting


Time Series Representation Learning with Supervised Contrastive Temporal Transformer


Time Series Source Separation using Dynamic Mode Decomposition


Time Series as Images: Vision Transformer for Irregularly Sampled Time Series


Time Step Generating: A Universal Synthesized Deepfake Image Detector


Time Travel: A Comprehensive Benchmark to Evaluate LMMs on Historical and Cultural Artifacts


Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection


Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection


Time and Cost-Efficient Bathymetric Mapping System using Sparse Point Cloud Generation and Automatic Object Detection


Time and Memory Efficient Parallel Algorithm for Structural Graph Summaries and two Extensions to Incremental Summarization and $k$-Bisimulation for Long $k$-Chaining


Time and State Dependent Neural Delay Differential Equations


Time complexity of Synchronization of discrete pulse-coupled oscillators on trees


Time correlations in atmospheric quantum channels


Time delay estimation of traffic congestion propagation due to accidents based on statistical causality


Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes


Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models


Time is of the Essence: a Joint Hierarchical RNN and Point Process Model for Time and Item Predictions


Time out of Mind: Generating Rate of Speech conditioned on emotion and speaker


Time reversal symmetry breaking and odd viscosity in active fluids: Green-Kubo and NEMD results


Time series anomaly detection with reconstruction-based state-space models


Time series classification with random convolution kernels based transforms: pooling operators and input representations matter


Time to Die: Death Prediction in Dota 2 using Deep Learning


Time to Separate from StackOverflow and Match with ChatGPT for Encryption


Time to Talk: LLM Agents for Asynchronous Group Communication in Mafia Games


Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff


Time to revisit the endpoint dilution assay and to replace TCID$_{50}$ and PFU as measures of a virus sample's infection concentration


Time- and Space-Efficient Regular Path Queries on Graphs


Time-Aware Ancient Chinese Text Translation and Inference


Time-Aware Item Weighting for the Next Basket Recommendations


Time-Aware Representation Learning for Time-Sensitive Question Answering


Time-Aware World Model for Adaptive Prediction and Control


Time-Causal VAE: Robust Financial Time Series Generator


Time-Conditioned Generative Modeling of Object-Centric Representations for Video Decomposition and Prediction


Time-Delayed Koopman Network-Based Model Predictive Control for the FRIB RFQ


Time-Dependent Solutions to the 2D Kuramoto-Sivashinsky Equation via Pseudospectral Method on a Rectangular Domain


Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet Transform


Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks


Time-Fluid Field-Based Coordination through Programmable Distributed Schedulers


Time-Frequency Analysis of Gravitational Wave Data


Time-Frequency Phase Retrieval for Audio -- The Effect of Transform Parameters


Time-Frequency Scattering Accurately Models Auditory Similarities Between Instrumental Playing Techniques


Time-Graph Frequency Representation with Singular Value Decomposition for Neural Speech Enhancement


Time-Harmonic Optical Flow with Applications in Elastography


Time-In-Range Analyses of Functional Data Subject to Missing with Applications to Inpatient Continuous Glucose Monitoring


Time-Independent Planning for Multiple Moving Agents


Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts


Time-Myopic Go-Explore: Learning A State Representation for the Go-Explore Paradigm


Time-Optimal Control for High-Order Chain-of-Integrators Systems with Full State Constraints and Arbitrary Terminal States (Extended Version)


Time-Optimal Path Planning in a Constant Wind for Uncrewed Aerial Vehicles using Dubins Set Classification


Time-Optimal Planning for Quadrotor Waypoint Flight


Time-Ordered Ad-hoc Resource Sharing for Independent Robotic Agents


Time-Ordered Recent Event (TORE) Volumes for Event Cameras


Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change


Time-R1: Towards Comprehensive Temporal Reasoning in LLMs


Time-Resolved Data-Driven Surrogates of Hall-effect Thrusters


Time-Robust Control for STL Specifications


Time-Series Anomaly Detection with Implicit Neural Representation


Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning


Time-Series Foundation AI Model for Value-at-Risk Forecasting


Time-Stamped Language Model: Teaching Language Models to Understand the Flow of Events


Time-Triggered Co-Scheduling of Computation and Communication with Jitter Requirements


Time-Varying Coronary Artery Deformation: A Dynamic Skinning Framework for Surgical Training


Time-Varying Identification of Structural Vector Autoregressions


Time-Varying Optimization of LTI Systems via Projected Primal-Dual Gradient Flows


Time-Varying Quasi-Closed-Phase Analysis for Accurate Formant Tracking in Speech Signals


Time-Varying Semidefinite Programming: Path Following a Burer-Monteiro Factorization


Time-adaptive Video Frame Interpolation based on Residual Diffusion


Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs


Time-aware Path Reasoning on Knowledge Graph for Recommendation


Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning


Time-based Sequence Model for Personalization and Recommendation Systems


Time-coded Spiking Fourier Transform in Neuromorphic Hardware


Time-dependent Performance Analysis of the 802.11p-based Platooning Communications Under Disturbance


Time-dependent electromagnetic scattering from thin layers


Time-dependent global sensitivity analysis of the Doyle-Fuller-Newman model


Time-dependent mediators in survival analysis: Graphical representation of causal assumptions


Time-dependent visibility modelling of a relativistic jet in the X-ray binary MAXI J1803-298


Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography


Time-domain Speech Enhancement with Generative Adversarial Learning


Time-efficient filtering of polarimetric data by checking physical realizability of experimental Mueller matrices


Time-efficient, high-resolution 3T whole-brain relaxometry using Cartesian 3D MR-STAT with CSF suppression


Time-frequency transforms of white noises and Gaussian analytic functions


Time-independent Spiking Neuron via Membrane Potential Estimation for Efficient Spiking Neural Networks


Time-inversion of spatiotemporal beam dynamics using uncertainty-aware latent evolution reversal


Time-lapse Very Long Baseline Interferometry Imaging of the Close Active Binary HR 1099


Time-limited Balanced Truncation for Data Assimilation Problems


Time-of-Day Neural Style Transfer for Architectural Photographs


Time-of-Flight Measurements as a Possible Method to Observe Anyonic Statistics


Time-of-arrival Estimation and Phase Unwrapping of Head-related Transfer Functions With Integer Linear Programming


Time-optimal Convexified Reeds-Shepp Paths on a Sphere


Time-optimal persistent homology representatives for univariate time series


Time-resolving PIV measurements and modal analysis of turbulent flow in a bench-scale hydrodynamic separator


Time-reversal solution of BSDEs in stochastic optimal control: a linear quadratic study


Time-series Imputation and Prediction with Bi-Directional Generative Adversarial Networks


Time-to-Event Pretraining for 3D Medical Imaging


Time-to-Pattern: Information-Theoretic Unsupervised Learning for Scalable Time Series Summarization


Time-translation invariance symmetry breaking hidden by finite-scale singularities


Time-uniform, nonparametric, nonasymptotic confidence sequences


Time-varying Bayesian Network Meta-Analysis


Time-varying Graph Representation Learning via Higher-Order Skip-Gram with Negative Sampling


Time-varying treatment effect models in stepped-wedge cluster-randomized trials with multiple interventions


Time-weighted Frequency Domain Audio Representation with GMM Estimator for Anomalous Sound Detection


Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting


TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing


TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition


TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting


TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis


TimeCaps: Capturing Time Series Data With Capsule Networks


TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations


TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models


TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models


TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos


TimeDRL: Disentangled Representation Learning for Multivariate Time-Series


TimeDepFrail: Time-Dependent Shared Frailty Cox Models in R


TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting


TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting


TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery


TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence


TimeInf: Time Series Data Contribution via Influence Functions


TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting


TimeLMs: Diachronic Language Models from Twitter


TimeLoc: A Unified End-to-End Framework for Precise Timestamp Localization in Long Videos


TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning


TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting


TimeMarker: A Versatile Video-LLM for Long and Short Video Understanding with Superior Temporal Localization Ability


TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learning


TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation


TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data


TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning


TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state


TimeRefine: Temporal Grounding with Time Refining Video LLM


TimeSHAP: Explaining Recurrent Models through Sequence Perturbations


TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents


TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling


TimeSieve: Extracting Temporal Dynamics through Information Bottlenecks


TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting


TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual Explanations


TimeWak: Temporal Chained-Hashing Watermark for Time Series Data


TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables


TimeZero: Temporal Video Grounding with Reasoning-Guided LVLM


Timeline and Boundary Guided Diffusion Network for Video Shadow Detection


Timeline-based Sentence Decomposition with In-Context Learning for Temporal Fact Extraction


TimelineKGQA: A Comprehensive Question-Answer Pair Generator for Temporal Knowledge Graphs


TimelineQA: A Benchmark for Question Answering over Timelines


Timer-XL: Long-Context Transformers for Unified Time Series Forecasting


Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers


Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting


TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning


Timescales of Kozai-Lidov oscillations at quadrupole and octupole order in the test particle limit


Timeslot allocation for waiting list control


Timestamp calibration for time-series single cell RNA-seq expression data


Timestamp-Supervised Action Segmentation from the Perspective of Clustering


Timestamps as Prompts for Geography-Aware Location Recommendation


Timetable Nodes for Public Transport Network


Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics


TimewarpVAE: Simultaneous Time-Warping and Representation Learning of Trajectories


Timing constraints due to real-time graph traversal algorithms on incomplete cluster states in photonic measurement-based quantum computing


Timing constraints imposed by classical digital control systems on photonic implementations of measurement-based quantum computing


Timing irregularities and glitches from the pulsar monitoring campaign at IAR


Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting


Timo: Towards Better Temporal Reasoning for Language Models


Timor Python: A Toolbox for Industrial Modular Robotics


TinaFace: Strong but Simple Baseline for Face Detection


Tinjauan atas Efektivitas Penggunaan Key Opinion Leader (KOL) dalam Penjualan Surat Utang Negara Ritel seri SBR011


Tint Your Models Task-wise for Improved Multi-task Model Merging


Tiny Autoscalers for Tiny Workloads: Dynamic CPU Allocation for Serverless Functions


Tiny Models are the Computational Saver for Large Models


Tiny Obstacle Discovery by Occlusion-Aware Multilayer Regression


Tiny QA Benchmark++: Ultra-Lightweight, Synthetic Multilingual Dataset Generation & Smoke-Tests for Continuous LLM Evaluation


Tiny Reinforcement Learning for Quadruped Locomotion using Decision Transformers


Tiny Robotics Dataset and Benchmark for Continual Object Detection


Tiny Transformers for Environmental Sound Classification at the Edge


Tiny and Efficient Model for the Edge Detection Generalization


Tiny models from tiny data: Textual and null-text inversion for few-shot distillation


Tiny noise, big mistakes: Adversarial perturbations induce errors in Brain-Computer Interface spellers


Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows


Tiny-HR: Towards an interpretable machine learning pipeline for heart rate estimation on edge devices


Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation


TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance


TinyCenterSpeed: Efficient Center-Based Object Detection for Autonomous Racing


TinyGAN: Distilling BigGAN for Conditional Image Generation


TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones


TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks


TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation


TinyHelen's First Curriculum: Training and Evaluating Tiny Language Models in a Simpler Language Environment


TinyIREE: An ML Execution Environment for Embedded Systems from Compilation to Deployment


TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning


TinyLLaVA-Video: A Simple Framework of Small-scale Large Multimodal Models for Video Understanding


TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids


TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models


TinyML NLP Scheme for Semantic Wireless Sentiment Classification with Privacy Preservation


TinyProto: Communication-Efficient Federated Learning with Sparse Prototypes in Resource-Constrained Environments


TinyQMIX: Distributed Access Control for mMTC via Multi-agent Reinforcement Learning


TinySeg: Model Optimizing Framework for Image Segmentation on Tiny Embedded Systems


TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings


TinySubNets: An efficient and low capacity continual learning strategy


TinyTL: Reduce Activations, Not Trainable Parameters for Efficient On-Device Learning


TinyTNAS: GPU-Free, Time-Bound, Hardware-Aware Neural Architecture Search for TinyML Time Series Classification


TinyThinker: Distilling Reasoning through Coarse-to-Fine Knowledge Internalization with Self-Reflection


TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge


TinyTurbo: Efficient Turbo Decoders on Edge


TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning


TinyViM: Frequency Decoupling for Tiny Hybrid Vision Mamba


TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming


Tip growth in a strongly concentrated aggregation model follows local geodesics


Tip of the Red Giant Branch Distances with JWST: An Absolute Calibration in NGC 4258 and First Applications to Type Ia Supernova Hosts


Tips and Tricks in linear imaging polarimetry of extended sources with FORS2 at the VLT


Tips, guidelines and tools for managing multi-label datasets: the mldr.datasets R package and the Cometa data repository


TipsC: Tips and Corrections for programming MOOCs


Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!


Tirtha -- An Automated Platform to Crowdsource Images and Create 3D Models of Heritage Sites


Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships


TissUnet: Improved Extracranial Tissue and Cranium Segmentation for Children through Adulthood


Tissue Cross-Section and Pen Marking Segmentation in Whole Slide Images


Tissue fluidization by cell-shape-controlled active stresses


Titan: A Parallel Asynchronous Library for Multi-Agent and Soft-Body Robotics using NVIDIA CUDA


Titanus: Enabling KV Cache Pruning and Quantization On-the-Fly for LLM Acceleration


Tleco: A Toolkit for Modeling Radiative Signatures from Relativistic Outflows


To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation


To Adapt or to Fine-tune: A Case Study on Abstractive Summarization


To Aggregate or Not to Aggregate. That is the Question: A Case Study on Annotation Subjectivity in Span Prediction


To Automatically Map Source Code Entities to Architectural Modules with Naive Bayes


To Bias or Not to Bias: Detecting bias in News with bias-detector


To Burst or Not to Burst: Generating and Quantifying Improbable Text


To Charge or to Sell? EV Pack Useful Life Estimation via LSTMs, CNNs, and Autoencoders


To Classify is to Interpret: Building Taxonomies from Heterogeneous Data through Human-AI Collaboration


To Clip or not to Clip: the Dynamics of SGD with Gradient Clipping in High-Dimensions


To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning


To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO


To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion


To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders


To Drop or Not to Drop? Predicting Argument Ellipsis Judgments: A Case Study in Japanese


To Embody or Not: The Effect Of Embodiment On User Perception Of LLM-based Conversational Agents


To Err Is Human, but Llamas Can Learn It Too


To Filter Prune, or to Layer Prune, That Is The Question


To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion


To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding


To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models


To Frontalize or Not To Frontalize: Do We Really Need Elaborate Pre-processing To Improve Face Recognition?


To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now


To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering


To Give or Not to Give? The Impacts of Strategically Withheld Recourse


To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models


To Impute or not to Impute? Missing Data in Treatment Effect Estimation


To Index or Not to Index: Optimizing Exact Maximum Inner Product Search


To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity


To Match or Not to Match: Revisiting Image Matching for Reliable Visual Place Recognition


To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning


To Normalize, or Not to Normalize: The Impact of Normalization on Part-of-Speech Tagging


To Perceive or Not to Perceive: Lightweight Stacked Hourglass Network


To Predict or Not To Predict? Proportionally Masked Autoencoders for Tabular Data Imputation


To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data


To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models


To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt


To Raise or Not To Raise: The Autonomous Learning Rate Question


To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models


To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process


To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing


To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning


To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation


To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models


To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning


To Switch or Not to Switch to TCP Prague? Incentives for Adoption in a Partial L4S Deployment


To Tell The Truth: Language of Deception and Language Models


To Trust Or Not To Trust Your Vision-Language Model's Prediction


To Trust or Not to Trust a Regressor: Estimating and Explaining Trustworthiness of Regression Predictions


To Trust or Not to Trust: Evolutionary Dynamics of an Asymmetric N-player Trust Game


To VR or not to VR: Is virtual reality suitable to understand software development metrics?


To Wedge Or Not To Wedge, Wedges and operator reconstructability in toy models of AdS/CFT


To What Extent are Name Variants Used as Named Entities in Turkish Tweets?


To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation Skills


To be Closer: Learning to Link up Aspects with Opinions


To be or not to be a black hole: detailed binary population models as a sanity check


To be, or not to be, that is the Question: Exploring the pseudorandom generation of texts to write Hamlet from the perspective of the Infinite Monkey Theorem


To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection


To pretrain or not to pretrain? A case study of domain-specific pretraining for semantic segmentation in histopathology


To reset or not to reset in a finite domain: that is the question


To snipe or not to snipe, that is the question! Transitions in sniping behaviour among competing algorithmic traders


To the Max: Reinventing Reward in Reinforcement Learning


To token or not to token: A Comparative Study of Text Representations for Cross-Lingual Transfer


To train or not to train adversarially: A study of bias mitigation strategies for speaker recognition


To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods


To tune or not to tune the number of trees in random forest?


To update or not to update? Neurons at equilibrium in deep models


To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling


ToFFi -- Toolbox for Frequency-based Fingerprinting of Brain Signals


ToLo: A Two-Stage, Training-Free Layout-To-Image Generation Framework For High-Overlap Layouts


ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind


ToMAP: Training Opponent-Aware LLM Persuaders with Theory of Mind


ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind


ToMBench: Benchmarking Theory of Mind in Large Language Models


ToMChallenges: A Principle-Guided Dataset and Diverse Evaluation Tasks for Exploring Theory of Mind


ToMiE: Towards Modular Growth in Enhanced SMPL Skeleton for 3D Human with Animatable Garments


ToNER: Type-oriented Named Entity Recognition with Generative Language Model


ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving


ToReMi: Topic-Aware Data Reweighting for Dynamic Pre-Training Data Selection


ToViLaG: Your Visual-Language Generative Model is Also An Evildoer


ToW: Thoughts of Words Improve Reasoning in Large Language Models


ToXCL: A Unified Framework for Toxic Speech Detection and Explanation


TockyPrep: Data Preprocessing Methods for Flow Cytometric Fluorescent Timer Analysis


TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification


Toeing the Party Line: Election Manifestos as a Key to Understand Political Discourse on Twitter


Toeplitz-Hermitian ADMM-Net for DoA Estimation


TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization


Togedule: Scheduling Meetings with Large Language Models and Adaptive Representations of Group Availability


Together We Make Sense -- Learning Meta-Sense Embeddings from Pretrained Static Sense Embeddings


TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement Learning


TokAlign: Efficient Vocabulary Adaptation via Token Alignment


TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation


TokaMaker: An open-source time-dependent Grad-Shafranov tool for the design and modeling of axisymmetric fusion devices


Token Adaptation via Side Graph Convolution for Temporally and Spatially Efficient Fine-tuning of 3D Point Cloud Transformers


Token Communication-Driven Multimodal Large Models in Resource-Constrained Multiuser Networks


Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning


Token Composition: A Graph Based on EVM Logs


Token Contrast for Weakly-Supervised Semantic Segmentation


Token Coordinated Prompt Attention is Needed for Visual Prompting


Token Cropr: Faster ViTs for Quite a Few Tasks


Token Imbalance Adaptation for Radiology Report Generation


Token Manipulation Generative Adversarial Network for Text Generation


Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis


Token Perturbation Guidance for Diffusion Models


Token Prediction as Implicit Classification to Identify LLM-Generated Text


Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free


Token Pruning in Audio Transformers: Optimizing Performance and Decoding Patch Importance


Token Reduction Should Go Beyond Efficiency in Generative Models -- From Vision, Language to Multimodality


Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models


Token Sparsification for Faster Medical Image Segmentation


Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction


Token Turing Machines are Efficient Vision Models


Token Weighting for Long-Range Language Modeling


Token-Efficient Leverage Learning in Large Language Models


Token-Label Alignment for Vision Transformers


Token-Level Adaptation of LoRA Adapters for Downstream Task Generalization


Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition


Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models


Token-Level Graphs for Short Text Classification


Token-Level Supervised Contrastive Learning for Punctuation Restoration


Token-Scaled Logit Distillation for Ternary Weight Generative Language Models


Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models


Token-based Decision Criteria Are Suboptimal in In-context Learning


Token-level Accept or Reject: A Micro Alignment Approach for Large Language Models


Token-level Correlation-guided Compression for Efficient Multimodal Document Understanding


Token-level Direct Preference Optimization


Token-level and sequence-level loss smoothing for RNN language models


Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions


TokenBinder: Text-Video Retrieval with One-to-Many Alignment Paradigm


TokenButler: Token Importance is Predictable


TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language Models


TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation


TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation


TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers


TokenPacker: Efficient Visual Projector for Multimodal LLM


TokenPose: Learning Keypoint Tokens for Human Pose Estimation


TokenRing: An Efficient Parallelism Framework for Infinite-Context LLMs via Bidirectional Communication


TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation


TokenSim: Enabling Hardware and Software Exploration for Large Language Model Inference Systems


TokenSkip: Controllable Chain-of-Thought Compression in LLMs


TokenSynth: A Token-based Neural Synthesizer for Instrument Cloning and Text-to-Instrument


Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks


Tokenization Falling Short: On Subword Robustness in Large Language Models


Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across Languages


Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs


Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images


Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification


Tokyo Kion-On: Query-Based Generative Sonification of Atmospheric Data


Toleo: Scaling Freshness to Tera-scale Memory using CXL and PIM


Toloka Visual Question Answering Benchmark


TomOpt: Differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography


TomatoDIFF: On-plant Tomato Segmentation with Denoising Diffusion Models


TomatoScanner: phenotyping tomato fruit based on only RGB image


Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation


TomoSAM: a 3D Slicer extension using SAM for tomography segmentation


TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction


Tomographic Reconstruction of Triaxial Strain Fields from Bragg-Edge Neutron Imaging


Tomographic halo model of the unWISE-Blue galaxies using cross-correlations with BOSS CMASS galaxies


Tomographic projection optimization for volumetric additive manufacturing with general band constraint Lp-norm minimization


Tomographic reconstruction of a disease transmission landscape via GPS recorded random paths


Tomographic redshift dipole: Testing the cosmological principle


Tomography for Plasma Imaging: a Unifying Framework for Bayesian Inference


Tone Mapping Based on Multi-scale Histogram Synthesis


TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Models


TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot


Tonguescape: Exploring Language Models Understanding of Vowel Articulation


Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies


Too Big, so Fail? -- Enabling Neural Construction Methods to Solve Large-Scale Routing Problems


Too Brittle To Touch: Comparing the Stability of Quantization and Distillation Towards Developing Lightweight Low-Resource MT Models


Too Fine or Too Coarse? The Goldilocks Composition of Data Complexity for Robust Left-Right Eye-Tracking Classifiers


Too Good to be True? Turn Any Model Differentially Private With DP-Weights


Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels


Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco


Too Many Options: A Survey of ABE Libraries for Developers


Too little, too late -- a dynamical systems model for gun-related violence and intervention


Tool Learning with Large Language Models: A Survey


Tool-Planner: Task Planning with Clusters across Multiple Tools


Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning


ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases


ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models


ToolBridge: An Open-Source Dataset to Equip LLMs with External Tool Capabilities


ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models


ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models


ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios


ToolGen: Unified Tool Retrieval and Calling via Generation


ToolHaystack: Stress-Testing Tool-Augmented Language Models in Realistic Long-Term Interactions


ToolNet: Using Commonsense Generalization for Predicting Tool Use for Robot Plan Synthesis


ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback


ToolQA: A Dataset for LLM Question Answering with External Tools


ToolRL: Reward is All Tool Learning Needs


ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities


ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages


Toolbox Release: A WiFi-Based Relative Bearing Sensor for Robotics


Tooling for Time- and Space-efficient git Repository Mining


Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model


ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings


Toolkit for General 2d Scalar Potential in LCT


Tools for probing new physics with newly discovered gamma-ray targets


Toolset for Collecting Shell Commands and Its Application in Hands-on Cybersecurity Training


Tooth Instance Segmentation on Panoramic Dental Radiographs Using U-Nets and Morphological Processing


Top Comment or Flop Comment? Predicting and Explaining User Engagement in Online News Discussions


Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark


Top K Relevant Passage Retrieval for Biomedical Question Answering


Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLM


Top Yukawa Coupling Determination at High Energy Muon Collider


Top-1 CORSMAL Challenge 2020 Submission: Filling Mass Estimation Using Multi-modal Observations of Human-robot Handovers


Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification


Top-Down Deep Clustering with Multi-generator GANs


Top-Down Framework for Weakly-supervised Grounded Image Captioning


Top-Down Networks: A coarse-to-fine reimagination of CNNs


Top-Down Partitioning for Efficient List-Wise Ranking


Top-Down Visual Attention from Analysis by Synthesis


Top-K Deep Video Analytics: A Probabilistic Approach


Top-N Recommendation with Novel Rank Approximation


Top-N: Equivariant set and graph generation without exchangeability


Top-Rank-Focused Adaptive Vote Collection for the Evaluation of Domain-Specific Semantic Models


Top-Theta Attention: Sparsifying Transformers by Compensated Thresholding


Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology


Top-down Tree Long Short-Term Memory Networks


Top-k Representative Search for Comparative Tree Summarization


Top-k Socio-Spatial Co-engaged Location Selection for Social Users


Top-k data selection via distributed sample quantile inference


Top-r Influential Community Search in Bipartite Graphs


Top1 Solution of QQ Browser 2021 Ai Algorithm Competition Track 1 : Multimodal Video Similarity


TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models


TopViewRS: Vision-Language Models as Top-View Spatial Reasoners


Topic Aware Contextualized Embeddings for High Quality Phrase Extraction


Topic Classification of Case Law Using a Large Language Model and a New Taxonomy for UK Law: AI Insights into Summary Judgment


Topic Detection in Continuous Sign Language Videos


Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations


Topic Grouper: An Agglomerative Clustering Approach to Topic Modeling


Topic Identification For Spontaneous Speech: Enriching Audio Features With Embedded Linguistic Information


Topic Modeling Genre: An Exploration of French Classical and Enlightenment Drama


Topic Modeling based on Keywords and Context


Topic Modeling on Health Journals with Regularized Variational Inference


Topic Modeling on Podcast Short-Text Metadata


Topic Modeling on User Stories using Word Mover's Distance


Topic Modeling with Wasserstein Autoencoders


Topic Modeling, Clade-assisted Sentiment Analysis, and Vaccine Brand Reputation Analysis of COVID-19 Vaccine-related Facebook Comments in the Philippines


Topic Scaling: A Joint Document Scaling -- Topic Model Approach To Learn Time-Specific Topics


Topic Scene Graph Generation by Attention Distillation from Caption


Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings


Topic Transferable Table Question Answering


Topic, Sentiment and Impact Analysis: COVID19 Information Seeking on Social Media


Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization


Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification


Topic-Aware Multi-turn Dialogue Modeling


Topic-Controllable Summarization: Topic-Aware Evaluation and Transformer Methods


Topic-Conversation Relevance (TCR) Dataset and Benchmarks


Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation


Topic-Guided Abstractive Text Summarization: a Joint Learning Approach


Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection


Topic-Guided Self-Introduction Generation for Social Media Users


Topic-Level Bayesian Surprise and Serendipity for Recommender Systems


Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling


Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation


Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models


TopicBERT for Energy Efficient Document Classification


TopicFlow: Disentangling quark and gluon jets with normalizing flows


TopicGPT: A Prompt-based Topic Modeling Framework


TopicModel4J: A Java Package for Topic Models


TopicNet: Semantic Graph-Guided Topic Discovery


TopicTracker: A Platform for Topic Trajectory Identification and Visualisation


Topical Classification of Food Safety Publications with a Knowledge Base


Topical Language Generation using Transformers


Topical Segmentation of Spoken Narratives: A Test Case on Holocaust Survivor Testimonies


Topical: Learning Repository Embeddings from Source Code using Attention


Topics as Entity Clusters: Entity-based Topics from Large Language Models and Graph Neural Networks


Topics in the Study of the Pragmatic Functions of Phonetic Reduction in Dialog


Topics to Avoid: Demoting Latent Confounds in Text Classification


Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers


Topo2vec: Topography Embedding Using the Fractal Effect


TopoAct: Visually Exploring the Shape of Activations in Deep Learning


TopoBench: A Framework for Benchmarking Topological Deep Learning


TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model


TopoDiT-3D: Topology-Aware Diffusion Transformer with Bottleneck Structure for 3D Point Cloud Generation


TopoDiffusionNet: A Topology-aware Diffusion Model


TopoEmbedding, a web tool for the interactive analysis of persistent homology


TopoGCL: Topological Graph Contrastive Learning


TopoLM: brain-like spatio-functional organization in a topographic language model


TopoMortar: A dataset to evaluate image segmentation methods focused on topology accuracy


TopoNets: High Performing Vision and Language Models with Brain-Like Topography


TopoShot: Uncovering Ethereum's Network Topology Leveraging Replacement Transactions


TopoTB: A software package for calculating the electronic structure and topological properties of the tight-binding model


TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer


TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs


Topogivity: A Machine-Learned Chemical Rule for Discovering Topological Materials


Topographic VAEs learn Equivariant Capsules


Topological Analysis of Bitcoin's Lightning Network


Topological Analysis of Mouse Brain Vasculature via 3D Light-sheet Microscopy Images


Topological Approximate Bayesian Computation for Parameter Inference of an Angiogenesis Model


Topological Autoencoders++: Fast and Accurate Cycle-Aware Dimensionality Reduction


Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity


Topological Clustering of Agents in Hidden Information Contagions: Application to Financial Markets


Topological Control of Synchronization Patterns: Trading Symmetry for Stability


Topological Data Analysis Detects Percolation Thresholds in Arctic Melt-Pond Evolution


Topological Data Analysis in Time Series: Temporal Filtration and Application to Single-Cell Genomics


Topological Data Analysis of Decision Boundaries with Application to Model Selection


Topological Data Analysis of Human Brain Networks Through Order Statistics


Topological Descriptors for Parkinson's Disease Classification and Regression Analysis


Topological Gradient-based Competitive Learning


Topological Interpretability for Deep-Learning


Topological Learning for Motion Data via Mixed Coordinates


Topological Machine Learning for Mixed Numeric and Categorical Data


Topological Machine Learning for Multivariate Time Series


Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation


Topological Mapping for Manhattan-like Repetitive Environments


Topological Measurement of Deep Neural Networks Using Persistent Homology


Topological Methods in Machine Learning: A Tutorial for Practitioners


Topological Neural Networks over the Air


Topological Node2vec: Enhanced Graph Embedding via Persistent Homology


Topological Optimal Transport for Geometric Cycle Matching


Topological Quality of Subsets via Persistence Matching Diagrams


Topological Quantum Compiling with Reinforcement Learning


Topological Reconstruction of Particle Physics Processes using Graph Neural Networks


Topological Relational Learning on Graphs


Topological SLAM in colonoscopies leveraging deep features and topological priors


Topological Simplifications of Hypergraphs


Topological Singularity Detection at Multiple Scales


Topological Slepians: Maximally Localized Representations of Signals over Simplicial Complexes


Topological Symmetry Enhanced Graph Convolution for Skeleton-Based Action Recognition


Topological analysis reveals multiple pathways in molecular dynamics


Topological and geometric analysis of cell states in single-cell transcriptomic data


Topological and magnetic properties of the interacting Bernevig-Hughes-Zhang model


Topological approaches to knotted electric charge distributions


Topological changes and deformation mechanisms of nanoporous Ta under compression


Topological characterization of the continuum of allosteric response


Topological data analysis and clustering


Topological data analysis distinguishes parameter regimes in the Anderson-Chaplain model of angiogenesis


Topological data analysis for revealing structural origin of density anomalies in silica glass


Topological data analysis of C. elegans locomotion and behavior


Topological data analysis of truncated contagion maps


Topological data analysis reveals differences between simulated galaxies and dark matter haloes


Topological defects in a double-mirror quadrupole insulator displace diverging charge


Topological filtering of a signal over a network


Topological fingerprints for audio identification


Topological monodromy kernels for fundamental groups of discriminant complements


Topological nature of edge states for one-dimensional systems without symmetry protection


Topological phases in two-dimensional Rydberg lattices


Topological phases of a dimerized Fermi-Hubbard model for semiconductor nano-lattices


Topological photon pumping in quantum optical systems


Topological properties of the long-range Kitaev chain with Aubry-Andr\'e-Harper modulation


Topological rigidity of ${\mathrm{SL}}_2$-quotients


Topological structure of complex predictions


Topological superconductivity enhanced by exceptional points


Topological two-dimensional Floquet lattice on a single superconducting qubit


Topological, multi-mode amplification induced by non-reciprocal, long-range dissipative couplings


Topological-Graph Dependencies and Scaling Properties of a Heuristic Qubit-Assignment Algorithm


TopologicalNumbers.jl: A Julia package for topological number computation


Topologically Attributed Graphs for Shape Discrimination


Topologically Regularized Data Embeddings


Topologically-Aware Deformation Fields for Single-View 3D Reconstruction


Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective


Topology Only Pre-Training: Towards Generalised Multi-Domain Graph Models


Topology Optimization of Random Memristors for Input-Aware Dynamic SNN


Topology Optimization using Neural Networks with Conditioning Field Initialization for Improved Efficiency


Topology Optimization with Bilevel Knapsack: An Efficient 51 Lines MATLAB Code


Topology Optimization with Text-Guided Stylization


Topology Preserving Local Road Network Estimation from Single Onboard Camera Image


Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset


Topology across Scales on Heterogeneous Cell Data


Topology and Geometry of Half-Rectified Network Optimization


Topology and Geometry of the Third-Party Domains Ecosystem: Measurement and Applications


Topology and obliquity of core magnetic fields in shaping seismic properties of slowly rotating evolved stars


Topology dependence of on-demand ride-sharing


Topology of Learning in Artificial Neural Networks


Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties


Topology of shallow-water waves on the rotating sphere


Topology of surface electromyogram signals: hand gesture decoding on Riemannian manifolds


Topology-Agnostic Graph U-Nets for Scalar Field Prediction on Unstructured Meshes


Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity


Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs


Topology-Aware Knowledge Propagation in Decentralized Learning


Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud Recognition


Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning


Topology-Aware Uncertainty for Image Segmentation


Topology-Driven Attribute Recovery for Attribute Missing Graph Learning in Social Internet of Things


Topology-Driven Goodness-of-Fit Tests in Arbitrary Dimensions


Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing


Topology-Imbalance Learning for Semi-Supervised Node Classification


Topology-Informed Machine Learning for Efficient Prediction of Solid Oxide Fuel Cell Electrode Polarization


Topology-Preserved Human Reconstruction with Details


Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier


Topology-Preserving Deep Image Segmentation


Topology-Preserving Dimensionality Reduction via Interleaving Optimization


Topology-Preserving Downsampling of Binary Images


Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow


Topology-aware Debiased Self-supervised Graph Learning for Recommendation


Topology-aware Embedding Memory for Continual Learning on Expanding Networks


Topology-aware Generalization of Decentralized SGD


Topology-aware Mamba for Crack Segmentation in Structures


Topology-aware Preemptive Scheduling for Co-located LLM Workloads


Topology-aware Robust Optimization for Out-of-distribution Generalization


Topology-aware Serverless Function-Execution Scheduling


Topology-based Phase Identification of Bulk, Interface, and Confined Water using Edge-Conditioned Convolutional Graph Neural Network


Topology-based Representative Datasets to Reduce Neural Network Training Resources


Topology-dependence of propagation mechanisms in the production network


Topology-driven identification of repetitions in multi-variate time series


Topology-enhanced machine learning model (Top-ML) for anticancer peptide prediction


Topology-preserving Adversarial Training for Alleviating Natural Accuracy Degradation


TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain


TorMentor: Deterministic dynamic-path, data augmentations with fractals


Tora: Trajectory-oriented Diffusion Transformer for Video Generation


Torch-Choice: A PyTorch Package for Large-Scale Choice Modeling with Python


Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision


Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator Design


TorchAudio: Building Blocks for Audio and Speech Processing


TorchBench: Benchmarking PyTorch with High API Surface Coverage


TorchDEQ: A Library for Deep Equilibrium Models


TorchDIVA: An Extensible Computational Model of Speech Production built on an Open-Source Machine Learning Library


TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery


TorchFL: A Performant Library for Bootstrapping Federated Learning Experiments


TorchFX: A modern approach to Audio DSP with PyTorch and GPU acceleration


TorchGDM: A GPU-Accelerated Python Toolkit for Multi-Scale Electromagnetic Scattering with Automatic Differentiation


TorchKGE: Knowledge Graph Embedding in Python and PyTorch


TorchOpt: An Efficient Library for Differentiable Optimization


TorchOptics: An open-source Python library for differentiable Fourier optics simulations


TorchProteinLibrary: A computationally efficient, differentiable representation of protein structure


TorchRadon: Fast Differentiable Routines for Computed Tomography


TorchResist: Open-Source Differentiable Resist Simulator


TorchSISSO: A PyTorch-Based Implementation of the Sure Independence Screening and Sparsifying Operator for Efficient and Interpretable Model Discovery


TorchSurv: A Lightweight Package for Deep Survival Analysis


Torchattacks: A PyTorch Repository for Adversarial Attacks


Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures


Torchtree: flexible phylogenetic model development and inference using PyTorch


ToriLLE: Learning Environment for Hand-to-Hand Combat


Toric Geometry of Entropic Regularization


Toric Multivariate Gaussian Models from Symmetries in a Tree


Toricity of vertically parametrized systems with applications to reaction network theory


Toroidal Embeddings of non-Intrinsically-Linked Graphs


Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways


TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction


Torque Control with Joints Position and Velocity Limits Avoidance


Torsion divisors of plane curves and Zariski pairs


Torsion divisors of plane curves with maximal flexes and Zariski pairs


Torsion phenomena for zero-cycles on a product of curves over a number field


Torsion primes for elliptic curves over degree 8 number fields


Torsion subgroups of elliptic curves over quadratic fields and a conjecture of Granville


TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search


Torsional Diffusion for Molecular Conformer Generation


Tortoise: An Authenticated Encryption Scheme


Torus Graphs for Multivariate Phase Coupling Analysis


Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning


Total Least Squares Regression in Input Sparsity Time


Total Nitrogen Estimation in Agricultural Soils via Aerial Multispectral Imaging and LIBS


Total Power Map to Visibilities (TP2VIS): Joint Deconvolution of ALMA 12m, 7m, and Total Power Array Data


Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural Networks


Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers


Total Variation Optimization Layers for Computer Vision