Transfer learning: Improving neural network based prediction of earthquake ground shaking for an area with insufficient training data


Transfer of Deep Reactive Policies for MDP Planning


Transfer of Pretrained Model Weights Substantially Improves Semi-Supervised Image Classification


Transfer of Structural Knowledge from Synthetic Languages


Transfer-Learning Across Datasets with Different Input Dimensions: An Algorithm and Analysis for the Linear Regression Case


Transfer-Learning-Based Autotuning Using Gaussian Copula


Transfer-Prompting: Enhancing Cross-Task Adaptation in Large Language Models via Dual-Stage Prompts Optimization


Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program Code Generation


TransferFuzz: Fuzzing with Historical Trace for Verifying Propagated Vulnerability Code


TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph


TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities


Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness


Transferability Metrics for Object Detection


Transferability of Natural Language Inference to Biomedical Question Answering


Transferability of atomic energies from alchemical decomposition


Transferable 3D Adversarial Shape Completion using Diffusion Models


Transferable Active Grasping and Real Embodied Dataset


Transferable Adversarial Attack based on Integrated Gradients


Transferable Adversarial Attacks on SAM and Its Downstream Models


Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization


Transferable Adversarial Face Attack with Text Controlled Attribute


Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings


Transferable Attack for Semantic Segmentation


Transferable Availability Poisoning Attacks


Transferable Candidate Proposal with Bounded Uncertainty


Transferable Class-Modelling for Decentralized Source Attribution of GAN-Generated Images


Transferable Clean-Label Poisoning Attacks on Deep Neural Nets


Transferable Decoding with Visual Entities for Zero-Shot Image Captioning


Transferable Dialogue Systems and User Simulators


Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries


Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning


Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats


Transferable Learning of Reaction Pathways from Geometric Priors


Transferable Machine Learning Potential X-MACE for Excited States using Integrated DeepSets


Transferable Models for Bioacoustics with Human Language Supervision


Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems


Transferable Persona-Grounded Dialogues via Grounded Minimal Edits


Transferable Post-training via Inverse Value Learning


Transferable Selective Virtual Sensing Active Noise Control Technique Based on Metric Learning


Transferable Semantic Augmentation for Domain Adaptation


Transferable Time-Series Forecasting under Causal Conditional Shift


Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking


Transferable-guided Attention Is All You Need for Video Domain Adaptation


Transferring Adversarial Robustness Through Robust Representation Matching


Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds


Transferring Backdoors between Large Language Models by Knowledge Distillation


Transferring Fairness under Distribution Shifts via Fair Consistency Regularization


Transferring Implicit Knowledge of Non-Visual Object Properties Across Heterogeneous Robot Morphologies


Transferring Inductive Biases through Knowledge Distillation


Transferring Knowledge Distillation for Multilingual Social Event Detection


Transferring Procedural Knowledge across Commonsense Tasks


Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency


Transferring Robustness for Graph Neural Network Against Poisoning Attacks


Transferring Unconditional to Conditional GANs with Hyper-Modulation


Transferring climate change physical knowledge


Transferring disentangled representations: bridging the gap between synthetic and real images


Transferring facade labels between point clouds with semantic octrees while considering change detection


Transferring to Real-World Layouts: A Depth-aware Framework for Scene Adaptation


TransforMatcher: Match-to-Match Attention for Semantic Correspondence


Transform Domain Pyramidal Dilated Convolution Networks For Restoration of Under Display Camera Images


Transform Once: Efficient Operator Learning in Frequency Domain


Transform and Tell: Entity-Aware News Image Captioning


Transform, Contrast and Tell: Coherent Entity-Aware Multi-Image Captioning


Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design


TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree Transformation


TransformNet: Self-supervised representation learning through predicting geometric transformations


Transformable Gaussian Reward Function for Socially-Aware Navigation with Deep Reinforcement Learning


Transformable Modular Robots: A CPG-Based Approach to Independent and Collective Locomotion


Transformaly -- Two (Feature Spaces) Are Better Than One


Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation


Transformation Decoupling Strategy based on Screw Theory for Deterministic Point Cloud Registration with Gravity Prior


Transformation Models for Flexible Posteriors in Variational Bayes


Transformation Networks for Target-Oriented Sentiment Classification


Transformation and simulation for a generalised queuing problem using a G/G/n/G/+ queuing model


Transformation of Dense and Sparse Text Representations


Transformation of Mean Opinion Scores to Avoid Misleading of Ranked based Statistical Techniques


Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks


Transformation of Python Applications into Function-as-a-Service Deployments


Transformation-Interaction-Rational Representation for Symbolic Regression


Transformations for Piola-mapped elements


Transformations for accelerator-based quantum circuit simulation in Haskell


Transformed Distribution Matching for Missing Value Imputation


Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks


Transformer Assisted Convolutional Network for Cell Instance Segmentation


Transformer Based Multi-Grained Features for Unsupervised Person Re-Identification


Transformer Based Multi-Source Domain Adaptation


Transformer Circuit Faithfulness Metrics are not Robust


Transformer Compressed Sensing via Global Image Tokens


Transformer Conformal Prediction for Time Series


Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning


Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval


Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel


Transformer Encoder with Multiscale Deep Learning for Pain Classification Using Physiological Signals


Transformer Feed-Forward Layers Are Key-Value Memories


Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space


Transformer Fusion with Optimal Transport


Transformer Inertial Poser: Real-time Human Motion Reconstruction from Sparse IMUs with Simultaneous Terrain Generation


Transformer Interpretability Beyond Attention Visualization


Transformer Language Models with LSTM-based Cross-utterance Information Representation


Transformer Language Models without Positional Encodings Still Learn Positional Information


Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking


Transformer Meets Twicing: Harnessing Unattended Residual Information


Transformer Models for Quantum Gate Set Tomography


Transformer Models for Text Coherence Assessment


Transformer Module Networks for Systematic Generalization in Visual Question Answering


Transformer Multivariate Forecasting: Less is More?


Transformer Network for Semantically-Aware and Speech-Driven Upper-Face Generation


Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries


Transformer Networks for Data Augmentation of Human Physical Activity Recognition


Transformer Networks for Trajectory Forecasting


Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling


Transformer Quantum State: A Multi-Purpose Model for Quantum Many-Body Problems


Transformer Reasoning Network for Image-Text Matching and Retrieval


Transformer Tracking with Cyclic Shifting Window Attention


Transformer Training Strategies for Forecasting Multiple Load Time Series


Transformer Uncertainty Estimation with Hierarchical Stochastic Attention


Transformer Wave Function for Quantum Long-Range models


Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning


Transformer and Snowball Graph Convolution Learning for Brain functional network Classification


Transformer as Linear Expansion of Learngene


Transformer based Generative Adversarial Network for Liver Segmentation


Transformer based multiple instance learning for weakly supervised histopathology image segmentation


Transformer brain encoders explain human high-level visual responses


Transformer for Graphs: An Overview from Architecture Perspective


Transformer for Partial Differential Equations' Operator Learning


Transformer for Single Image Super-Resolution


Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems


Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors


Transformer with Controlled Attention for Synchronous Motion Captioning


Transformer with Implicit Edges for Particle-based Physics Simulation


Transformer with Tree-order Encoding for Neural Program Generation


Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction


Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network


Transformer-Based Hierarchical Clustering for Brain Network Analysis


Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach


Transformer-Based Multi-modal Proposal and Re-Rank for Wikipedia Image-Caption Matching


Transformer-Based Neural Marked Spatio Temporal Point Process Model for Football Match Events Analysis


Transformer-Based Neural Text Generation with Syntactic Guidance


Transformer-Based Source-Free Domain Adaptation


Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation


Transformer-Based Wireless Capsule Endoscopy Bleeding Tissue Detection and Classification


Transformer-CNN: Fast and Reliable tool for QSAR


Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields


Transformer-Patcher: One Mistake worth One Neuron


Transformer-VQ: Linear-Time Transformers via Vector Quantization


Transformer-based Annotation Bias-aware Medical Image Segmentation


Transformer-based Dual Relation Graph for Multi-label Image Recognition


Transformer-based End-to-End Speech Recognition with Local Dense Synthesizer Attention


Transformer-based Entity Legal Form Classification


Transformer-based Entity Typing in Knowledge Graphs


Transformer-based Language Models for Factoid Question Answering at BioASQ9b


Transformer-based Lexically Constrained Headline Generation


Transformer-based Multimodal Change Detection with Multitask Consistency Constraints


Transformer-based No-Reference Image Quality Assessment via Supervised Contrastive Learning


Transformer-based Personalized Attention Mechanism for Medical Images with Clinical Records


Transformer-based Program Synthesis for Low-Data Environments


Transformer-based RGB-T Tracking with Channel and Spatial Feature Fusion


Transformer-based Selective Super-Resolution for Efficient Image Refinement


Transformer-based Text Classification on Unified Bangla Multi-class Emotion Corpus


Transformer-based Time-to-Event Prediction for Chronic Kidney Disease Deterioration


Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraft


Transformer-based Variable-rate Image Compression with Region-of-interest Control


Transformer-based World Models Are Happy With 100k Interactions


Transformer-based assignment decision network for multiple object tracking


Transformer-based conditional generative adversarial network for multivariate time series generation


Transformer-based end-to-end classification of variable-length volumetric data


Transformer-based nowcasting of radar composites from satellite images for severe weather


Transformer-based out-of-distribution detection for clinically safe segmentation


Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution


TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers


TransformerRanker: A Tool for Efficiently Finding the Best-Suited Language Models for Downstream Classification Tasks


Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes


Transformers Can Do Arithmetic with the Right Embeddings


Transformers Can Navigate Mazes With Multi-Step Prediction


Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models


Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End


Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression


Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation


Transformers Struggle to Learn to Search


Transformers and Ensemble methods: A solution for Hate Speech Detection in Arabic languages


Transformers and Slot Encoding for Sample Efficient Physical World Modelling


Transformers are Expressive, But Are They Expressive Enough for Regression?


Transformers are Meta-Reinforcement Learners


Transformers are Provably Optimal In-context Estimators for Wireless Communications


Transformers are Sample-Efficient World Models


Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets


Transformers as Algorithms: Generalization and Stability in In-context Learning


Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining


Transformers as Meta-Learners for Implicit Neural Representations


Transformers as Neural Augmentors: Class Conditional Sentence Generation via Variational Bayes


Transformers as Policies for Variable Action Environments


Transformers discover an elementary calculation system exploiting local attention and grid-like problem representation


Transformers for 1D Signals in Parkinson's Disease Detection from Gait


Transformers for Green Semantic Communication: Less Energy, More Semantics


Transformers for Headline Selection for Russian News Clusters


Transformers for molecular property prediction: Domain adaptation efficiently improves performance


Transformers for molecular property prediction: Lessons learned from the past five years


Transformers from an Optimization Perspective


Transformers in Medical Imaging: A Survey


Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art


Transformers in the Service of Description Logic-based Contexts


Transformers in the loop: Polarity in neural models of language


Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost


Transformers on Multilingual Clause-Level Morphology


Transformers predicting the future. Applying attention in next-frame and time series forecasting


Transformers to Fight the COVID-19 Infodemic


Transformers to Predict the Applicability of Symbolic Integration Routines


Transformers trained on proteins can learn to attend to Euclidean distance


Transformers versus LSTMs for electronic trading


Transformers with Stochastic Competition for Tabular Data Modelling


Transformers, Contextualism, and Polysemy


Transformers, parallel computation, and logarithmic depth


Transforming Competition into Collaboration: The Revolutionary Role of Multi-Agent Systems and Language Models in Modern Organizations


Transforming Dutch: Debiasing Dutch Coreference Resolution Systems for Non-binary Pronouns


Transforming Facial Weight of Real Images by Editing Latent Space of StyleGAN


Transforming Fake News: Robust Generalisable News Classification Using Transformers


Transforming Feature Space to Interpret Machine Learning Models


Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach


Transforming Multi-Conditioned Generation from Meaning Representation


Transforming Observations of Ocean Temperature with a Deep Convolutional Residual Regressive Neural Network


Transforming PageRank into an Infinite-Depth Graph Neural Network


Transforming RIS-Assisted Passive Beamforming from Tedious to Simple: A Relaxation Algorithm for Rician Channel


Transforming Scholarly Landscapes: Influence of Large Language Models on Academic Fields beyond Computer Science


Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation


Transforming Sentiment Analysis in the Financial Domain with ChatGPT


Transforming Slot Schema Induction with Generative Dialogue State Inference


Transforming Spectrum and Prosody for Emotional Voice Conversion with Non-Parallel Training Data


Transforming Traditional Neural Networks into Neuromorphic Quantum-Cognitive Models: A Tutorial with Applications


Transforming Unstructured Text into Data with Context Rule Assisted Machine Learning (CRAML)


Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning


Transforming Visual Scene Graphs to Image Captions


Transforming a rare event search into a not-so-rare event search in real-time with deep learning-based object detection


Transforming acoustic characteristics to deceive playback spoofing countermeasures of speaker verification systems


Transforming faces into video stories -- VideoFace2.0


Transforming physics-informed machine learning to convex optimization


Transforming the Latent Space of StyleGAN for Real Face Editing


Transient Fault Tolerant Semantic Segmentation for Autonomous Driving


Transient ordering in the Gross-Pitaevskii lattice subject to an energy quench within the disordered phase


Transient-optimised real-bogus classification with Bayesian Convolutional Neural Networks -- sifting the GOTO candidate stream


TransientViT: A novel CNN - Vision Transformer hybrid real/bogus transient classifier for the Kilodegree Automatic Transient Survey


TransientX: A high performance single pulse search package


Transients by Black Hole Formation from Red Supergiants: Impact of Dense Circumstellar Matter


Transit Duration and Timing Variations from Binary Planets


Transit Least Squares: An optimized transit detection algorithm to search for periodic transits of small planets


Transit Origami: A Method to Coherently Fold Exomoon Transits in Time Series Photometry


Transit effects for non-linear index measurement in hot atomic vapors


TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models


Transiting Planets near the Snow Line from Kepler. I. Catalog


Transiting exocomets detected in broadband light by TESS in the $\beta$ Pictoris system


Transition Information Enhanced Disentangled Graph Neural Networks for Session-based Recommendation


Transition Matrix Representation of Trees with Transposed Convolutions


Transition Path Sampling with Boltzmann Generator-based MCMC Moves


Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers


Transition Path and Interface Sampling of Stochastic Schrödinger Dynamics


Transition Propagation Graph Neural Networks for Temporal Networks


Transition Role of Entangled Data in Quantum Machine Learning


Transition Waste Optimization for Coded Elastic Computing


Transition dynamics in the $Λ_{\rm s}$CDM model: Implications for bound cosmic structures


Transition rates, survival probabilities, and quality of bias from time-dependent biased simulations


Transition to Adulthood for Young People with Intellectual or Developmental Disabilities: Emotion Detection and Topic Modeling


Transition to super-diffusive transport in turbulent plasmas


Transition-Aware Multi-Activity Knowledge Tracing


Transition-Based Generation from Abstract Meaning Representations


Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction


Transition-based Semantic Dependency Parsing with Pointer Networks


Transition-based Semantic Role Labeling with Pointer Networks


Transitional Learning: Exploring the Transition States of Degradation for Blind Super-resolution


Transitional annealed adaptive slice sampling for Gaussian process hyper-parameter estimation


Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity


Transkimmer: Transformer Learns to Layer-wise Skim


Translate First Reorder Later: Leveraging Monotonicity in Semantic Parsing


Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Models


Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model Translations


Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling


Translate your gibberish: black-box adversarial attack on machine translation systems


Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsing


Translate-to-Recognize Networks for RGB-D Scene Recognition


Translated Skip Connections -- Expanding the Receptive Fields of Fully Convolutional Neural Networks


Translating Across Cultures: LLMs for Intralingual Cultural Adaptation


Translating Canonical SQL to Imperative Code in Coq


Translating Electrocardiograms to Cardiac Magnetic Resonance Imaging Useful for Cardiac Assessment and Disease Screening: A Multi-Center Study AI for ECG to CMR Translation Study


Translating Natural Language to Planning Goals with Large-Language Models


Translating Place-Related Questions to GeoSPARQL Queries


Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning


Translating Workflow Nets into the Partially Ordered Workflow Language


Translating and evaluating single-cell Boolean network interventions in the multiscale setting


Translating predictive distributions into informative priors


Translating proofs from an impredicative type system to a predicative one


Translating synthetic natural language to database queries: a polyglot deep learning framework


Translation Artifacts in Cross-lingual Transfer Learning


Translation Errors Significantly Impact Low-Resource Languages in Cross-Lingual Learning


Translation Transformers Rediscover Inherent Data Domains


Translation Word-Level Auto-Completion: What can we achieve out of the box?


Translation and Fusion Improves Zero-shot Cross-lingual Information Extraction


Translation between Molecules and Natural Language


Translation-Equivariance of Normalization Layers and Aliasing in Convolutional Neural Networks


Translation-Invariant Quantum Algorithms for Ordered Search are Optimal


Translation-invariant functional clustering on COVID-19 deaths adjusted on population risk factors


Translational Equivariance in Kernelizable Attention


Translational Quantum Machine Intelligence for Modeling Tumor Dynamics in Oncology


Translations as Additional Contexts for Sentence Classification


Translator2Vec: Understanding and Representing Human Post-Editors


Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation


TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models


Translocatome: a novel resource for the analysis of protein translocation between cellular organelles


Transmission Expansion Planning Using Cycle Flows


Transmission Investment Coordination using MILP Lagrange Dual Decomposition and Auxiliary Problem Principle


Transmission properties of time-dependent one-dimensional metamaterials


Transmission strings: a technique for spatially mapping exoplanet atmospheres around their terminators


Transmission-Guided Bayesian Generative Model for Smoke Segmentation


Transmit What You Need: Task-Adaptive Semantic Communications for Visual Information


Transmon qutrit-based simulation of spin-1 AKLT systems


Transparency Helps Reveal When Language Models Learn Meaning


Transparency at the Source: Evaluating and Interpreting Language Models With Access to the True Distribution


Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning


Transparency to hybrid open access through publisher-provided metadata: An article-level study of Elsevier


Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring


Transparent Electricity Pricing with Privacy


Transparent Forwarders: An Unnoticed Component of the Open DNS Infrastructure


Transparent Networks for Multivariate Time Series


Transparent Object Tracking with Enhanced Fusion Module


Transparent Serverless execution of Python multiprocessing applications


Transparent Shape from a Single View Polarization Image


Transparent Single-Cell Set Classification with Kernel Mean Embeddings


Transparent and Scrutable Recommendations Using Natural Language User Profiles


Transport Monte Carlo: High-Accuracy Posterior Approximation via Random Transport


Transport Phenomena in Fluid Films with Curvature Elasticity


Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport


Transport across a carbon nanotube quantum dot contacted with ferromagnetic leads: experiment and non-perturbative modeling


Transport and integrability-breaking in non-Hermitian many-body quantum systems


Transport based particle methods for the Fokker-Planck-Landau equation


Transport meets Variational Inference: Controlled Monte Carlo Diffusions


Transport of Algebraic Structure to Latent Embeddings


Transport of Intensity Equation Microscopy for Dynamic Microtubules


Transport phenomena in electrolyte solutions: Non-equilibrium thermodynamics and statistical mechanics


Transport via Partial Galois Connections and Equivalences


Transport with Support: Data-Conditional Diffusion Bridges


Transport-Hub-Aware Spatial-Temporal Adaptive Graph Transformer for Traffic Flow Prediction


Transport-Related Surface Detection with Machine Learning: Analyzing Temporal Trends in Madrid and Vienna


Transporting Causal Mechanisms for Unsupervised Domain Adaptation


Transporting Experimental Results with Entropy Balancing


Transpose Attack: Stealing Datasets with Bidirectional Training


Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting


Transversal Diagonal Logical Operators for Stabiliser Codes


Transversal Injection: A method for direct encoding of ancilla states for non-Clifford gates using stabiliser codes


Transverse Confinement of Electron Beams in a 2D Optical Lattice for Compact Coherent X-Ray Sources


Transverse Velocity Field Measurement in High-Resolution Solar Images Based on Deep Learning


Transverse charge density and the radius of the proton


Transverse magnetic focusing in two-dimensional hole gases


Transverse-momentum-dependent pion structures from lattice QCD: Collins-Soper kernel, soft factor, TMDWF, and TMDPDF


Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork


Trap induced broadening in a potential hydrogen lattice clock


Trap-MID: Trapdoor-based Defense against Model Inversion Attacks


Trapped Modes in Linear Quantum Stochastic Networks with Delays


Trapped in texture bias? A large scale comparison of deep instance segmentation


Traps and transport resistance: the next frontier for stable state-of-the-art non-fullerene acceptor solar cells


Trav-SHACL: Efficiently Validating Networks of SHACL Constraints


TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering


Travel the Same Path: A Novel TSP Solving Strategy


Travel times and ray paths for acoustic and elastic waves in generally anisotropic media


TravelPlanner: A Benchmark for Real-World Planning with Language Agents


Traveling Across Languages: Benchmarking Cross-Lingual Consistency in Multimodal LLMs


Traveling Waves Encode the Recent Past and Enhance Sequence Learning


Traveling Waves Integrate Spatial Information Into Spectral Representations


Traveling Words: A Geometric Interpretation of Transformers


Traveling fronts in self-replicating persistent random walks with multiple internal states


Traveling planetary-scale waves cause cloud variability on tidally locked aquaplanets


Travelling wave analysis of cellular invasion into surrounding tissues


Travelling waves in a free boundary mechanobiological model of an epithelial tissue


TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting


Traversing Between Modes in Function Space for Fast Ensembling


Traversing Dual Realities: Investigating Techniques for Transitioning 3D Objects between Desktop and Augmented Reality Environments


Traversing Knowledge Graphs in Vector Space


Traversing Mars: Cooperative Informative Path Planning to Efficiently Navigate Unknown Scenes


TreEnhance: A Tree Search Method For Low-Light Image Enhancement


Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation


Treat Stillness with Movement: Remote Sensing Change Detection via Coarse-grained Temporal Foregrounds Mining


Treating Detector Systematics via a Likelihood Free Inference Method


Treatment Effect Estimation Amidst Dynamic Network Interference in Online Gaming Experiments


Treatment Effect Estimation for User Interest Exploration on Recommender Systems


Treatment Effect Estimation with Observational Network Data using Machine Learning


Treatment Effect Estimators as Weighted Outcomes


Treatment Effect Risk: Bounds and Inference


Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data


Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes


Treatment effect estimation with Multilevel Regression and Poststratification


Treatment effect estimation with disentangled latent factors


Treatment effects without multicollinearity? Temporal order and the Gram-Schmidt process in causal inference


Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness


Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks


Treatment-RSPN: Recurrent Sum-Product Networks for Sequential Treatment Regimes


Treatment-Response Analysis of Tumor as A Quantum Particle


Treatment-control comparisons in platform trials including non-concurrent controls


Treble Counterfactual VLMs: A Causal Approach to Hallucination


Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters


Tree Echo State Autoencoders with Grammars


Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation


Tree Methods for Hierarchical Classification in Parallel


Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks


Tree Search-Based Policy Optimization under Stochastic Execution Delay


Tree Space Prototypes: Another Look at Making Tree Ensembles Interpretable


Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation


Tree boosting for learning EFT parameters


Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces


Tree in Tree: from Decision Trees to Decision Graphs


Tree networks of real-world data: analysis of efficiency and spatiotemporal scales


Tree of Attacks: Jailbreaking Black-Box LLMs Automatically


Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models


Tree search algorithms for the Sequential Ordering Problem


Tree species, crown cover, and age as determinants of the vertical distribution of airborne LiDAR returns


Tree tensor network hierarchical equations of motion based on time-dependent variational principle for efficient open quantum dynamics in structured thermal environments


Tree++: Truncated Tree Based Graph Kernels


Tree-AMP: Compositional Inference with Tree Approximate Message Passing


Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing


Tree-Based Leakage Inspection and Control in Concept Bottleneck Models


Tree-Based Optimization: A Meta-Algorithm for Metaheuristic Optimization


Tree-Based Reconstructive Partitioning: A Novel Low-Data Level Generation Approach


Tree-Based Representation and Generation of Natural and Mathematical Language


Tree-Based Text Retrieval via Hierarchical Clustering in RAGFrameworks: Application on Taiwanese Regulations


Tree-Constrained Graph Neural Networks For Argument Mining


Tree-Cotree-Based Tearing and Interconnecting for 3D Magnetostatics: A Dual-Primal Approach


Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust


Tree-SNE: Hierarchical Clustering and Visualization Using t-SNE


Tree-Sliced Variants of Wasserstein Distances


Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance


Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling


Tree-Structured Scale Effects in Binary and Ordinal Regression


Tree-Values: selective inference for regression trees


Tree-based Focused Web Crawling with Reinforcement Learning


Tree-based Search Graph for Approximate Nearest Neighbor Search


Tree-based boosting with functional data


Tree-based variational inference for Poisson log-normal models


Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy


Tree-less 3d Friends-of-Friends using Spatial Hashing


Tree-of-Debate: Multi-Persona Debate Trees Elicit Critical Thinking for Scientific Comparative Analysis


Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs


Tree-structured Auxiliary Online Knowledge Distillation


Tree-to-Sequence Attentional Neural Machine Translation


TreeBERT: A Tree-Based Pre-Trained Model for Programming Language


TreeC: a method to generate interpretable energy management systems using a metaheuristic algorithm


TreeCut: A Synthetic Unanswerable Math Word Problem Dataset for LLM Hallucination Evaluation


TreeDQN: Learning to minimize Branch-and-Bound tree


TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning


TreeFlow: probabilistic programming and automatic differentiation for phylogenetics


TreeFormer: Single-view Plant Skeleton Estimation via Tree-constrained Graph Generation


TreeFormer: a Semi-Supervised Transformer-based Framework for Tree Counting from a Single High Resolution Image


TreeGrad: Transferring Tree Ensembles to Neural Networks


TreeGrafter: phylogenetic tree-based annotation of proteins with Gene Ontology terms and other annotations


TreeLUT: An Efficient Alternative to Deep Neural Networks for Inference Acceleration Using Gradient Boosted Decision Trees


TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds


TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree


TreeMAN: Tree-enhanced Multimodal Attention Network for ICD Coding


TreeMIL: A Multi-instance Learning Framework for Time Series Anomaly Detection with Inexact Supervision


TreeMeshGPT: Artistic Mesh Generation with Autoregressive Tree Sequencing


TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding


TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning


TreeRL: LLM Reinforcement Learning with On-Policy Tree Search


TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly


TreeScope: An Agricultural Robotics Dataset for LiDAR-Based Mapping of Trees in Forests and Orchards


TreeSketchNet: From Sketch To 3D Tree Parameters Generation


TreeTOp: Topology Optimization using Constructive Solid Geometry Trees


Treebank Embedding Vectors for Out-of-domain Dependency Parsing


Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees


Trees, Forests, Chickens, and Eggs: When and Why to Prune Trees in a Random Forest


Trefftz Discontinuous Galerkin methods for scattering by periodic structures


Tregs self-organize into a "computing ecosystem" and implement a sophisticated optimization algorithm for mediating immune response


Trellis BMA: Coded Trace Reconstruction on IDS Channels for DNA Storage


Tremor Reduction for Accessible Ray Based Interaction in VR Applications


Trend estimation and short-term forecasting of COVID-19 cases and deaths worldwide


Trend-Aware Fashion Recommendation with Visual Segmentation and Semantic Similarity


Trends and biases in the social cost of carbon


Trends in Cuban research output: publications and patents


Trends in Explainable AI (XAI) Literature


Trends in Frontier AI Model Count: A Forecast to 2028


Trends in Planetary Science research in the Puna and Atacama desert regions: under-representation of local scientific institutions?


Trends in atomistic simulation software usage


Trends, Applications, and Challenges in Human Attention Modelling


Tri$^{2}$-plane: Thinking Head Avatar via Feature Pyramid


Tri-Attention: Explicit Context-Aware Attention Mechanism for Natural Language Processing


Tri-Branch Convolutional Neural Networks for Top-$k$ Focused Academic Performance Prediction


Tri-Learn Graph Fusion Network for Attributed Graph Clustering


Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction


Tri-graph Information Propagation for Polypharmacy Side Effect Prediction


Tri-level Joint Natural Language Understanding for Multi-turn Conversational Datasets


TriAAN-VC: Triple Adaptive Attention Normalization for Any-to-Any Voice Conversion


TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding


TriG-NER: Triplet-Grid Framework for Discontinuous Named Entity Recognition


TriGait: Aligning and Fusing Skeleton and Silhouette Gait Data via a Tri-Branch Network


TriGuard: Testing Model Safety with Attribution Entropy, Verification, and Drift


TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation


TriMLP: Revenge of a MLP-like Architecture in Sequential Recommendation


TriMe++: Multi-threaded triangular meshing in two dimensions


TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion


TriSig: Assessing the statistical significance of triclusters


TriStereoNet: A Trinocular Framework for Multi-baseline Disparity Estimation


TriTransNet: RGB-D Salient Object Detection with a Triplet Transformer Embedding Network


TriVol: Point Cloud Rendering via Triple Volumes


Triad-based Neural Network for Coreference Resolution


Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering


Triad: Empowering LMM-based Anomaly Detection with Vision Expert-guided Visual Tokenizer and Manufacturing Process


Triad: Vision Foundation Model for 3D Magnetic Resonance Imaging


Triadic analysis of affiliation networks


Triadic structures in multislice networks


Triage of 3D pathology data via 2.5D multiple-instance learning to guide pathologist assessments


Trial matching: capturing variability with data-constrained spiking neural networks


Trial without Error: Towards Safe Reinforcement Learning via Human Intervention


Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision


TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets


TrialSynth: Generation of Synthetic Sequential Clinical Trial Data


Triangel: A High-Performance, Accurate, Timely On-Chip Temporal Prefetcher


Triangle Attack: A Query-efficient Decision-based Adversarial Attack


Triangle Graph Interest Network for Click-through Rate Prediction


Triangle Sides for Congruent Numbers less than 10,000


Triangle-Net: Towards Robustness in Point Cloud Learning


TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task Consistency


Triangular Automata: The 256 Elementary Cellular Automata of the 2D Plane


Triangulating Instrumental Variable, confounder adjustment and Difference-in-Difference methods for comparative effectiveness research in observational data


Triangulation candidates for Bayesian optimization


TribChem: a Software for the First-principles, High-Throughput Study of Solid Interfaces and their Tribological properties


Tribrid: Stance Classification with Neural Inconsistency Detection


Tribuo: Machine Learning with Provenance in Java


Tricking AI chips into Simulating the Human Brain: A Detailed Performance Analysis


Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks


TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection


Trident Segmentation CNN: A Spatiotemporal Transformation CNN for Punctate White Matter Lesions Segmentation in Preterm Neonates


TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation


Tridiagonal and single-pair matrices and the inverse sum of two single-pair matrices


Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow


Trifocal Relative Pose from Lines at Points and its Efficient Solution


Trigger Hunting with a Topological Prior for Trojan Detection


TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition


Triggering Dark Showers with Conditional Dual Auto-Encoders


Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation


Trilinos: Enabling Scientific Computing Across Diverse Hardware Architectures at Scale


Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis


Trimap-guided Feature Mining and Fusion Network for Natural Image Matting


Trimmed Harrell-Davis quantile estimator based on the highest density interval of the given width


Trimmed Match Design for Randomized Paired Geo Experiments


Trimmed Mean Group Estimation of Average Effects in Ultra Short T Panels under Correlated Heterogeneity


Trimmed Mean for Partially Observed Functional Data


Trimmed sample means for robust uniform mean estimation and regression


Trimming the Fat: Efficient Compression of 3D Gaussian Splats through Pruning


Trinary Decision Trees for handling missing data


Trinity I: Self-Consistently Modeling the Dark Matter Halo-Galaxy-Supermassive Black Hole Connection from $z=0-10$


Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models


Trinomials, singular moduli and Riffaut's conjecture


Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision Transformer


Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings


TripCEAiR: A Multi-Loss minimization approach for surface EMG based Airwriting Recognition


TripClick: The Log Files of a Large Health Web Search Engine


TripCraft: A Benchmark for Spatio-Temporally Fine Grained Travel Planning


TripMD: Driving patterns investigation via Motif Analysis


Triple GNNs: Introducing Syntactic and Semantic Information for Conversational Aspect-Based Quadruple Sentiment Analysis


Triple Higgs boson production and electroweak phase transition in the two-real-singlet model


Triple Memory Networks: a Brain-Inspired Method for Continual Learning


Triple Trustworthiness Measurement for Knowledge Graph


Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference


Triple descent and the two kinds of overfitting: Where & why do they appear?


Triple equivalence for the emergence of biological intelligence


Triple-Encoders: Representations That Fire Together, Wire Together


Triple-cooperative Video Shadow Detection


Triple-domain Feature Learning with Frequency-aware Memory Enhancement for Moving Infrared Small Target Detection


Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence


TripleAgent: Monitoring, Perturbation And Failure-obliviousness for Automated Resilience Improvement in Java Applications


TripleE: Easy Domain Generalization via Episodic Replay


TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather


TripleSurv: Triplet Time-adaptive Coordinate Loss for Survival Analysis


TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments


Triples of singular moduli with rational product


Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification


Triplet Entropy Loss: Improving The Generalisation of Short Speech Language Identification Systems


Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers


Triplet Losses-based Matrix Factorization for Robust Recommendations


Triplet Permutation Method for Deep Learning of Single-Shot Person Re-Identification


Triplet-Watershed for Hyperspectral Image Classification


Triplet: Triangle Patchlet for Mesh-Based Inverse Rendering and Scene Parameters Approximation


Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series


Triplot: model agnostic measures and visualisations for variable importance in predictive models that take into account the hierarchical correlation structure


Triply Laplacian Scale Mixture Modeling for Seismic Data Noise Suppression


TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models


TripoSR: Fast 3D Object Reconstruction from a Single Image


Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning


Trisecant Flops, their associated K3 surfaces and the rationality of some Fano fourfolds


TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators


Triumvirate: A Python/C++ package for three-point clustering measurements


TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions


Trivial or impossible -- dichotomous data difficulty masks model differences (on ImageNet and beyond)


TroL: Traversal of Layers for Large Language and Vision Models


TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks


Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning


TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets


TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models


TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models


TrojText: Test-time Invisible Textual Trojan Insertion


TrojViT: Trojan Insertion in Vision Transformers


Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment


Trojan Playground: A Reinforcement Learning Framework for Hardware Trojan Insertion and Detection


TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data


TrojanPuzzle: Covertly Poisoning Code-Suggestion Models


TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models


TrojanSAINT: Gate-Level Netlist Sampling-Based Inductive Learning for Hardware Trojan Detection


TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent


Trojaning Language Models for Fun and Profit


TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles


Trollslayer: Crowdsourcing and Characterization of Abusive Birds in Twitter


Tropical Bisectors and Carlini-Wagner Attacks


Tropical Expressivity of Neural Networks


Tropical Geometric Tools for Machine Learning: the TML package


Tropical Monte Carlo quadrature for Feynman integrals


Tropical Optimal Transport and Wasserstein Distances


Tropical Sufficient Statistics for Persistent Homology


Tropical Tensor Network for Ground States of Spin Glasses


Tropical combinatorics of max-linear Bayesian networks


Tropical neural networks and its applications to classifying phylogenetic trees


Tropical rational curves with first order tangency via WDVV


Tropical time series, iterated-sums signatures and quasisymmetric functions


Trotter error with commutator scaling for the Fermi-Hubbard model


Trouble with the Curve: Predicting Future MLB Players Using Scouting Reports


Troublemaker Learning for Low-Light Image Enhancement


Troubleshooting Unstable Molecules in Chemical Space


Truck Axle Detection with Convolutional Neural Networks


Truck Parking Usage Prediction with Decomposed Graph Neural Networks


True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning


True Online Temporal-Difference Learning


TrueChain: Highly Performant Decentralized Public Ledger


TrueFake: A Real World Case Dataset of Last Generation Fake Images also Shared on Social Networks


TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources


TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models


TrueType Transformer: Character and Font Style Recognition in Outline Format


Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation


Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text


Truly Scale-Equivariant Deep Nets with Fourier Layers


Trumpets: Injective Flows for Inference and Inverse Problems


Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection


Truncated Marginal Neural Ratio Estimation


Truncated Matrix Power Iteration for Differentiable DAG Learning


Truncated atomic plane wave method for the subband structure calculations of Moiré systems


Truncated proposals for scalable and hassle-free simulation-based inference


Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns


Truncating Wide Networks using Binary Tree Architectures


Truncation Sampling as Language Model Desmoothing


Trust Dynamics and Market Behavior in Cryptocurrency: A Comparative Study of Centralized and Decentralized Exchanges


Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild


Trust Recognition in Human-Robot Cooperation Using EEG


Trust Region Based Adversarial Attack on Neural Networks


Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints


Trust and Terror: Hazards in Text Reveal Negatively Biased Credulity and Partisan Negativity Bias


Trust from Ethical Point of View: Exploring Dynamics Through Multiagent-Driven Cognitive Modeling


Trust the Critics: Generatorless and Multipurpose WGANs with Initial Convergence Guarantees


Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption


Trust your source: quantifying source condition elements for variational regularisation methods


Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards


Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness


Trust-Region Neural Moving Horizon Estimation for Robots


Trust-based Rate-Tunable Control Barrier Functions for Non-Cooperative Multi-Agent Systems


TrustAgent: Towards Safe and Trustworthy LLM-based Agents


TrustEMG-Net: Using Representation-Masking Transformer with U-Net for Surface Electromyography Enhancement


TrustGAN: Training safe and trustworthy deep learning models through generative adversarial networks


TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks


TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support


TrustMesh: A Blockchain-Enabled Trusted Distributed Computing Framework for Open Heterogeneous IoT Environments


TrustRAG: An Information Assistant with Retrieval Augmented Generation


TrustRAG: Enhancing Robustness and Trustworthiness in RAG


TrustSER: On the Trustworthiness of Fine-tuning Pre-trained Speech Embeddings For Speech Emotion Recognition


TrustScore: Reference-Free Evaluation of LLM Response Trustworthiness


Trustable Co-label Learning from Multiple Noisy Annotators


Trustchain -- Trustworthy Decentralised Public Key Infrastructure for Digital Credentials


Trusted Mamba Contrastive Network for Multi-View Clustering


Trusted Multi-view Learning with Label Noise


Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification


Trusted Video Inpainting Localization via Deep Attentive Noise Learning


Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization


Trusting the Cloud-Native Edge: Remotely Attested Kubernetes Workers


Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design


Trustworthiness in Retrieval-Augmented Generation Systems: A Survey


Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding


Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning


Trustworthy Conceptual Explanations for Neural Networks in Robot Decision-Making


Trustworthy Enhanced Multi-view Multi-modal Alzheimer's Disease Prediction with Brain-wide Imaging Transcriptomics Data


Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving


Trustworthy Image Super-Resolution via Generative Pseudoinverse


Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data


Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment


Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions


Trustworthy Prediction with Gaussian Process Knowledge Scores


Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey


Truth Discovery in Sequence Labels from Crowds


Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning


Truth Knows No Language: Evaluating Truthfulness Beyond English


Truth in the Few: High-Value Data Selection for Efficient Multi-Modal Reasoning


Truth is Universal: Robust Detection of Lies in LLMs


Truth or Backpropaganda? An Empirical Investigation of Deep Learning Theory


Truth or Mirage? Towards End-to-End Factuality Evaluation with LLM-Oasis


Truth, Proof, and Reproducibility: There's no counter-attack for the codeless


Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts


Truth-tracking via Approval Voting: Size Matters


TruthEval: A Dataset to Evaluate LLM Truthfulness and Reliability


TruthPrInt: Mitigating LVLM Object Hallucination Via Latent Truthful-Guided Pre-Intervention


TruthSR: Trustworthy Sequential Recommender Systems via User-generated Multimodal Content


TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space


Truthful Meta-Explanations for Local Interpretability of Machine Learning Models


Truveta Mapper: A Zero-shot Ontology Alignment Framework


Try Harder: Hard Sample Generation and Learning for Clothes-Changing Person Re-ID


TryOffAnyone: Tiled Cloth Generation from a Dressed Person


TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-On


Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables


Tsetlin Machine for Solving Contextual Bandit Problems


TuPy-E: detecting hate speech in Brazilian Portuguese social media with a novel dataset and comprehensive analysis of models


TuRTLe: A Unified Evaluation of LLMs for RTL Generation


Tube Loss: A Novel Approach for Prediction Interval Estimation and probabilistic forecasting


Tube RRT*: Efficient Homotopic Path Planning for Swarm Robotics Passing-Through Large-Scale Obstacle Environments


Tube-Based Zonotopic Data-Driven Predictive Control


Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics


Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation


Tube-based Distributionally Robust Model Predictive Control for Nonlinear Process Systems via Linearization


Tube2Vec: Social and Semantic Embeddings of YouTube Channels


TubeDETR: Spatio-Temporal Video Grounding with Transformers


TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model


Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization


Tucano: Advancing Neural Text Generation for Portuguese


TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images


Tukey-Inspired Video Object Segmentation


Tulipa Energy Model: Mathematical Formulation


TulipaProfileFitting.jl: A Julia package for fitting renewable energy time series profiles


Tully-Fisher Relation of Late-type Galaxies at $0.6 \leq z \leq 2.5$


Tumor likelihood estimation on MRI prostate data by utilizing k-Space information


TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation


TumorTwin: A python framework for patient-specific digital twins in oncology


Tunable Quantum Neural Networks in the QPAC-Learning Framework


Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training


Tunable morphing of electroactive dielectric-elastomer balloons


Tune It Up: Music Genre Transfer and Prediction


Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification


Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density


TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation Models


Tuned Compositional Feature Replays for Efficient Stream Learning


TunesFormer: Forming Irish Tunes with Control Codes by Bar Patching


Tuning Convolutional Spiking Neural Network with Biologically-plausible Reward Propagation


Tuning Fairness by Balancing Target Labels


Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly


Tuning LLMs by RAG Principles: Towards LLM-native Memory


Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning


Tuning Legged Locomotion Controllers via Safe Bayesian Optimization


Tuning Pre-trained Model via Moment Probing


Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network


Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules


Tuning as convex optimisation: a polynomial tuner for multi-parametric combinatorial samplers


Tuning parameter calibration for prediction in personalized medicine


Tuning the Frequency of Periodic Data Movements over Hybrid Memory Systems


Tuning the Molecular Weight Distribution from Atom Transfer Radical Polymerization Using Deep Reinforcement Learning


Tuning the Right Foundation Models is What you Need for Partial Label Learning


Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis


Tuning-Free Coreset Markov Chain Monte Carlo via Hot DoG


Tuning-Free Image Customization with Image and Text Guidance


Tuning-Free Structured Sparse PCA via Deep Unfolding Networks


Tuning-Free Visual Customization via View Iterative Self-Attention Control


Tuning-free Plug-and-Play Hyperspectral Image Deconvolution with Deep Priors


Tuning-free multi-coil compressed sensing MRI with Parallel Variable Density Approximate Message Passing (P-VDAMP)


Tuning-less Object Naming with a Foundation Model


Turb-L1: Achieving Long-term Turbulence Tracing By Tackling Spectral Bias


Turbidity Control in Sedimentation Columns by Direction Dependent Models


Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation


Turbo: Effective Caching in Differentially-Private Databases


TurboFFT: Co-Designed High-Performance and Fault-Tolerant Fast Fourier Transform on GPUs


TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in Practice


TurboGP: A flexible and advanced python based GP library


TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models


TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text


TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients


Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project


Turbocharging Treewidth-Bounded Bayesian Network Structure Learning


Turbulence Closure for Mixing Length Theories


Turbulence Strength $C_n^2$ Estimation from Video using Physics-based Deep Learning


Turbulence and Capillary Waves on Bubbles


Turbulence model augmented physics informed neural networks for mean flow reconstruction


Turbulence modulation by suspended finite-sized particles -- Towards physics-based multiphase subgrid modeling


Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code


Turbulent scalar flux in inclined jets in crossflow: counter gradient transport and deep learning modelling


TuringQ: Benchmarking AI Comprehension in Theory of Computation


Turkish Delights: a Dataset on Turkish Euphemisms


TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis


TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish


Turn That Frown Upside Down: FaceID Customization via Cross-Training Data


Turn Tree into Graph: Automatic Code Review via Simplified AST Driven Graph Convolutional Network


Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution


Turn the Rudder: A Beacon of Reentrancy Detection for Smart Contracts on Ethereum


Turn up the volume: Listening to phase transitions in hot dark sectors


Turn-Level Active Learning for Dialogue State Tracking


Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?


Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data


Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed?


Turning Fixed to Adaptive: Integrating Post-Evaluation into Simultaneous Machine Translation


Turning Flowchart into Dialog: Augmenting Flowchart-grounded Troubleshooting Dialogs via Synthetic Data Generation


Turning Logic Against Itself : Probing Model Defenses Through Contrastive Questions


Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows


Turning Spherical Cows into Spherical Cheeses: a bold and flavourful re-Interpretation of the Moon's spectrum


Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills


Turning Traffic Monitoring Cameras into Intelligent Sensors for Traffic Density Estimation


Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks


Turning Whisper into Real-Time Transcription System


Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring


Turning large language models into cognitive models


Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation


Turning the information-sharing dial: efficient inference from different data sources


Turnstile $\ell_p$ leverage score sampling with applications


TurtleBench: A Visual Programming Benchmark in Turtle Geometry


TurtleBench: Evaluating Top Language Models via Real-World Yes/No Puzzles


Tutel: Adaptive Mixture-of-Experts at Scale


Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise


TutorGym: A Testbed for Evaluating AI Agents as Tutors and Students


Tutorial on Deep Learning for Human Activity Recognition


Tutorial on communication between access networks and the 5G core


Tutorial on implementing Hoare logic for imperative programs in Haskell


Tutorial: AI-assisted exploration and active design of polymers with high intrinsic thermal conductivity


Tutorial: Calculation of Rydberg interaction potentials


Tutorial: Calibration refinement in quantum annealing


Tutorial: Circuit-based Electromagnetic Transient Simulation


Tutorial: Remote entanglement protocols for stationary qubits with photonic interfaces


Tutorial: a priori estimation of sample size, effect size, and statistical power for cluster analysis, latent class analysis, and multivariate mixture models


TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter


Tweaking autoregressive methods for inpainting of gaps in audio signals


Tweedie Regression for Video Recommendation System


TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation


TweepFake: about Detecting Deepfake Tweets


Tweet Sentiment Extraction using Viterbi Algorithm with Transfer Learning


Tweet Sentiment Quantification: An Experimental Re-Evaluation


Tweet2Vec: Character-Based Distributed Representations for Social Media


TweetBERT: A Pretrained Language Representation Model for Twitter Text Analysis


TweetNLP: Cutting-Edge Natural Language Processing for Social Media


Tweets Under the Rubble: Detection of Messages Calling for Help in Earthquake Disaster


Tweets in Time of Conflict: A Public Dataset Tracking the Twitter Discourse on the War Between Ukraine and Russia


Tweets2Stance: Users stance detection exploiting Zero-Shot Learning Algorithms on Tweets


TweetsCOV19 -- A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic


Tweezers: A Framework for Security Event Detection via Event Attribution-centric Tweet Embedding


Twenty Years of Network Science: A Bibliographic and Co-Authorship Network Analysis


TwiBot-22: Towards Graph-Based Twitter Bot Detection


TwiSE at SemEval-2016 Task 4: Twitter Sentiment Classification


Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement


Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization


Twin Contrastive Learning with Noisy Labels


Twin Graph-based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System


Twin Networks: Matching the Future for Sequence Generation


Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling


Twin-2K-500: A dataset for building digital twins of over 2,000 people based on their answers to over 500 questions


Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging


TwinBooster: Synergising Large Language Models with Barlow Twins and Gradient Boosting for Enhanced Molecular Property Prediction


TwinCL: A Twin Graph Contrastive Learning Model for Collaborative Filtering


TwinCloud: Secure Cloud Sharing Without Explicit Key Management


TwinDiffusion: Enhancing Coherence and Efficiency in Panoramic Image Generation with Diffusion Models


TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane Segmentation


TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets


Twinning Commercial Network Traces on Experimental Open RAN Platforms


Twist: Sound Reasoning for Purity and Entanglement in Quantum Programs


TwistList: Resources and Baselines for Tongue Twister Generation


Twister: Construction and structural relaxation of commensurate moiré superlattices


Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps


Twitch Plays Pokemon, Machine Learns Twitch: Unsupervised Context-Aware Anomaly Detection for Identifying Trolls in Streaming Data


Twitmo: A Twitter Data Topic Modeling and Visualization Package for R


Twitter Corpus of the #BlackLivesMatter Movement And Counter Protests: 2013 to 2021


Twitter Dataset for 2022 Russo-Ukrainian Crisis


Twitter User Representation Using Weakly Supervised Graph Embedding


Twitter conversations predict the daily confirmed COVID-19 cases


Twitter-Based Gender Recognition Using Transformers


Twitter-COMMs: Detecting Climate, COVID, and Military Multimodal Misinformation


Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data


Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data


Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers


Two Causal Principles for Improving Visual Dialog


Two Chebyshev Spectral Methods for Solving Normal Modes in Atmospheric Acoustics


Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How


Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks


Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart


Two Decades of Network Science as seen through the co-authorship network of network scientists


Two Demonstrations of the Machine Translation Applications to Historical Documents


Two Distinct Populations of Dark Comets Delineated by Orbits and Sizes


Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models


Two Finite Element Approaches For The Porous Medium Equation That Are Positivity Preserving And Energy Stable


Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability


Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning


Two Heads are Better than One: Geometric-Latent Attention for Point Cloud Classification and Segmentation


Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors


Two Heads are Better than One: Robust Learning Meets Multi-branch Models


Two Independent Teachers are Better Role Model


Two Layer Walk: A Community-Aware Graph Embedding


Two Local Models for Neural Constituent Parsing


Two Metrics on Rooted Unordered Trees with Labels


Two New Upper Bounds for the Maximum k-plex Problem


Two Novel Performance Improvements for Evolving CNN Topologies


Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution


Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration


Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation


Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension


Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks


Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning


Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency


Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization


Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking


Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation


Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization


Two Tales of Single-Phase Contrastive Hebbian Learning


Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching


Two Training Strategies for Improving Relation Extraction over Universal Graph


Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects


Two Watts is All You Need: Enabling In-Detector Real-Time Machine Learning for Neutrino Telescopes Via Edge Computing


Two algorithms to decide Quantifier-free Definability in Finite Algebraic Structures


Two approaches to inpainting microstructure with deep convolutional generative adversarial networks


Two are better than one: Context window extension with multi-grained self-injection


Two beams are better than one: Enabling reliable and high throughput mmWave links


Two eyes, Two views, and finally, One summary! Towards Multi-modal Multi-tasking Knowledge-Infused Medical Dialogue Summarization


Two halves of a meaningful text are statistically different


Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing


Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering


Two new non-equivalent three-qubit CHSH games


Two scholarly publishing cultures? Open access drives a divergence in European academic publishing practices


Two stages domain invariant representation learners solve the large co-variate shift in unsupervised domain adaptation with two dimensional data domains


Two step clustering for data reduction combining DBSCAN and k-means clustering


Two transiting hot Jupiters from the WASP survey: WASP-150b and WASP-176b


Two-Dimensional Batch Linear Programming on the GPU


Two-Level Temporal Relation Model for Online Video Instance Segmentation


Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentation


Two-Locus Likelihoods under Variable Population Size and Fine-Scale Recombination Rate Estimation


Two-Pronged Human Evaluation of ChatGPT Self-Correction in Radiology Report Simplification


Two-Round Distributed Principal Component Analysis: Closing the Statistical Efficiency Gap


Two-Sample High Dimensional Mean Test Based On Prepivots


Two-Sample Testing for Event Impacts in Time Series


Two-Scalar Bose-Einstein Condensates: From Stars to Galaxies


Two-Sided Fairness in Non-Personalised Recommendations


Two-Stage Auction Mechanism for Long-Term Participation in Crowdsourcing


Two-Stage Constrained Actor-Critic for Short Video Recommendation


Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification


Two-Stage Copy-Move Forgery Detection with Self Deep Matching and Proposal SuperGlue


Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data


Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning


Two-Stage Holistic and Contrastive Explanation of Image Classification


Two-Stage Homotopy Method to Incorporate Discrete Control Variables into AC-OPF


Two-Stage Learning of Highly Dynamic Motions with Rigid and Articulated Soft Quadrupeds


Two-Stage Learning of Stabilizing Neural Controllers via Zubov Sampling and Iterative Domain Expansion


Two-Stage Predict+Optimize for Mixed Integer Linear Programs with Unknown Parameters in Constraints


Two-Stage Pseudo Maximum Likelihood Estimation of Semiparametric Copula-based Regression Models for Semi-Competing Risks Data


Two-Stage Single Image Reflection Removal with Reflection-Aware Guidance


Two-Stage Super-Resolution Simulation Method of Three-Dimensional Street-Scale Atmospheric Flows for Real-Time Urban Micrometeorology Prediction


Two-Stage TMLE to Reduce Bias and Improve Efficiency in Cluster Randomized Trials


Two-Stage Testing in a high dimensional setting


Two-Stage Violence Detection Using ViTPose and Classification Models at Smart Airports


Two-Step Mixed-Type Multivariate Bayesian Sparse Variable Selection with Shrinkage Priors


Two-Step Question Retrieval for Open-Domain QA


Two-Step Sound Source Separation: Training on Learned Latent Targets


Two-Step Targeted Minimum-Loss Based Estimation for Non-Negative Two-Part Outcomes


Two-Stream Action Recognition-Oriented Video Super-Resolution


Two-Stream Aural-Visual Affect Analysis in the Wild


Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding


Two-Timescale Stochastic Dispatch of Smart Distribution Grids


Two-Torsion Subgroups of some Modular Jacobians


Two-View Geometry Scoring Without Correspondences


Two-Way Semantic Transmission of Images without Feedback


Two-and-a-half Order Score-based Model for Solving 3D Ill-posed Inverse Problems


Two-body Wigner molecularization in asymmetric quantum dot spin qubits


Two-body model for the spatial distribution of dust ejected from an atmosphereless body


Two-colour photon correlations probe coherent vibronic contributions to electronic excitation transport under incoherent illumination


Two-component Mixture Model in the Presence of Covariates


Two-dimensional infrared-Raman spectroscopy as a probe of water's tetrahedrality


Two-dimensional multi-target detection: an autocorrelation analysis approach


Two-dimensional simulations of disks in close binaries: Simulating outburst cycles in cataclysmic variables


Two-dimensional structure functions to characterize convective rolls in the marine atmospheric boundary layer from Sentinel-1 SAR images


Two-directional simultaneous inference for high-dimensional models


Two-fluid single-column modelling of Rayleigh-Bénard convection as a step towards multi-fluid modelling of atmospheric convection


Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth Estimation


Two-layer adaptive trajectory tracking controller for quadruped robots on slippery terrains


Two-level Bayesian interaction analysis for survival data incorporating pathway information


Two-level Data Augmentation for Calibrated Multi-view Detection


Two-level Nyström--Schur preconditioner for sparse symmetric positive definite matrices


Two-loop Prediction of the Anomalous Magnetic Moment of the Muon in the Two-Higgs Doublet Model with GM2Calc 2


Two-loop form factors for $P$-wave quarkonium production and decay


Two-loop form factors for pseudo-scalar quarkonium production and decay


Two-loop master integrals for a planar and a non-planar topology relevant for single top production


Two-loop master integrals for pseudo-scalar quarkonium and leptonium production and decay


Two-person Graph Convolutional Network for Skeleton-based Human Interaction Recognition


Two-phase training mitigates class imbalance for camera trap image classification with CNNs


Two-point stress approximation: A simple and robust finite volume method for linearized (poro-)mechanics and Stokes flow


Two-sample Statistics Based on Anisotropic Kernels


Two-sample Test with Kernel Projected Wasserstein Distance


Two-sample goodness-of-fit tests on the flat torus based on Wasserstein distance and their relevance to structural biology


Two-sample inference for high-dimensional Markov networks


Two-sample testing of high-dimensional linear regression coefficients via complementary sketching


Two-shot Spatially-varying BRDF and Shape Estimation


Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints


Two-stage Design for Failure Probability Estimation with Gaussian Process Surrogates


Two-stage Estimators for Spatial Confounding with Point-Referenced Data


Two-stage Optimization for Machine Learning Workflow


Two-stage Pipeline for Multilingual Dialect Detection


Two-stage Progressive Residual Dense Attention Network for Image Denoising


Two-stage Rainfall-Forecasting Diffusion Model


Two-stage Risk Control with Application to Ranked Retrieval


Two-stage Robust Optimization Approach for Enhanced Community Resilience Under Tornado Hazards


Two-stage Training of Graph Neural Networks for Graph Classification


Two-stage Visual Cues Enhancement Network for Referring Image Segmentation


Two-stage dimensional emotion recognition by fusing predictions of acoustic and text networks using SVM


Two-stage generative adversarial networks for document image binarization with color noise and background removal


Two-stage matching-adjusted indirect comparison


Two-stage model reduction approaches for the efficient and certified solution of parametrized optimal control problems


Two-step growth mixture model to examine heterogeneity in nonlinear trajectories


Two-step hyperparameter optimization method: Accelerating hyperparameter search by using a fraction of a training dataset


Two-step interpretable modeling of Intensive Care Acquired Infections


Two-step penalised logistic regression for multi-omic data with an application to cardiometabolic syndrome


Two-step reinforcement learning for model-free redesign of nonlinear optimal regulator


Two-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking


Two-stream Flow-guided Convolutional Attention Networks for Action Recognition


Two-view Graph Neural Networks for Knowledge Graph Completion


Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning


Two-way Node Popularity Model for Directed and Bipartite Networks


Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering


Two-year Cosmology Large Angular Scale Surveyor (CLASS) Observations: A First Detection of Atmospheric Circular Polarization at Q Band


Two4Two: Evaluating Interpretable Machine Learning - A Synthetic Dataset For Controlled Experiments


TwoPaCo: An efficient algorithm to build the compacted de Bruijn graph from many complete genomes


TwoStreamVAN: Improving Motion Modeling in Video Generation


TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification


Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels


TxP: Reciprocal Generation of Ground Pressure Dynamics and Activity Descriptions for Improving Human Activity Recognition


TxPert: Leveraging Biochemical Relationships for Out-of-Distribution Transcriptomic Perturbation Prediction


TxnSails: Achieving Serializable Transaction Scheduling with Self-Adaptive Isolation Level Selection


Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks


Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via Text


TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages


TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages


Tyche: Stochastic In-Context Learning for Medical Image Segmentation


Tydi-lang: a language for typed streaming hardware -- A manual for future Tydi-lang compiler developers


Type 1 Diabetes Management using GLIMMER: Glucose Level Indicator Model with Modified Error Rate


Type Anywhere You Want: An Introduction to Invisible Mobile Keyboard


Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias


Type Ia supernova growth-rate measurement with LSST simulations: intrinsic scatter systematics


Type Ia supernovae from non-accreting progenitors


Type Inference for Static Compilation of JavaScript (Extended Version)


Type Information-Assisted Self-Supervised Knowledge Graph Denoising


Type Prediction With Program Decomposition and Fill-in-the-Type Training


Type Stability in Julia: Avoiding Performance Pathologies in JIT Compilation (Extended Version)


Type System for Four Delimited Control Operators


Type-Driven Multi-Turn Corrections for Grammatical Error Correction


Type-I two-Higgs-doublet model and gravitational waves from domain walls bounded by strings


Type-based Enforcement of Infinitary Trace Properties for Java


Type-enhanced Ensemble Triple Representation via Triple-aware Attention for Cross-lingual Entity Alignment


Type-supervised sequence labeling based on the heterogeneous star graph for named entity recognition


Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python


TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation


TypeScript's Evolution: An Analysis of Feature Adoption Over Time


TypeShift: A User Interface for Visualizing the Typing Production Process


TypeT5: Seq2seq Type Inference using Static Analysis


Typed-RAG: Type-aware Multi-Aspect Decomposition for Non-Factoid Question Answering


TypedThinker: Typed Thinking Improves Large Language Model Reasoning


Types for Tables: A Language Design Benchmark


Types of Out-of-Distribution Texts and How to Detect Them


Typesafe Abstractions for Tensor Operations


Typesafe Coordinate Systems in High-Throughput Sequencing Applications


Typhoon 2: A Family of Open Text and Multimodal Thai Large Language Models


Typhoon Intensity Prediction with Vision Transformer


Typical Algorithms for Estimating Hurst Exponent of Time Sequence: A Data Analyst's Perspective


Typical Yet Unlikely and Normally Abnormal: The Intuition Behind High-Dimensional Statistics


Typicalness-Aware Learning for Failure Detection


Typing assumptions improve identification in causal discovery


Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction


Typo-Robust Representation Learning for Dense Retrieval


Typographic Attacks in a Multi-Image Setting


Typos that Broke the RAG's Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations


Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval


Tywaves: A Typed Waveform Viewer for Chisel


TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis


U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI


U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search


U-CREAT: Unsupervised Case Retrieval using Events extrAcTion


U-DECN: End-to-End Underwater Object Detection ConvNet with Improved DeNoising Training


U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold


U-Former: Improving Monaural Speech Enhancement with Multi-head Self and Cross Attention


U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMs


U-MixFormer: UNet-like Transformer with Mix-Attention for Efficient Semantic Segmentation


U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack


U-Net Fixed-Point Quantization for Medical Image Segmentation


U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation


U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?


U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations


U-Net-based Models for Skin Lesion Segmentation: More Attention and Augmentation


U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument


U-Noise: Learnable Noise Masks for Interpretable Image Segmentation


U-Phylogeny: Undirected Provenance Graph Construction in the Wild


U-PoT: A Honeypot Framework for UPnP-Based IoT Devices


U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds


U-REPA: Aligning Diffusion U-Nets to ViTs


U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV


U-SAM: An audio language Model for Unified Speech, Audio, and Music Understanding


U-Shape Mamba: State Space Model for faster diffusion


U-TELL: Unsupervised Task Expert Lifelong Learning


U-TILISE: A Sequence-to-sequence Model for Cloud Removal in Optical Satellite Time Series


U-TOE: Universal TinyML On-board Evaluation Toolkit for Low-Power IoT


U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation


U-WNO: U-Net Enhanced Wavelet Neural Operator for Solving Parametric Partial Differential Equations


U-index: A Universal Indexing Framework for Matching Long Patterns


U-match factorization: sparse homological algebra, lazy cycle representatives, and dualities in persistent (co)homology


U-shape Transformer for Underwater Image Enhancement


U-shaped Vision Mamba for Single Image Dehazing


U-vectors: Generating clusterable speaker embedding from unlabeled data


U.S. Broadband Coverage Data Set: A Differentially Private Data Release


U2AD: Uncertainty-based Unsupervised Anomaly Detection Framework for Detecting T2 Hyperintensity in MRI Spinal Cord


U2Net: A General Framework with Spatial-Spectral-Integrated Double U-Net for Image Fusion


U2UData: A Large-scale Cooperative Perception Dataset for Swarm UAVs Autonomous Flight


U3M: Unbiased Multiscale Modal Fusion Model for Multimodal Semantic Segmentation


UA-FedRec: Untargeted Attack on Federated News Recommendation


UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language


UA-MPC: Uncertainty-Aware Model Predictive Control for Motorized LiDAR Odometry


UA-Radar: Exploring the Impact of User Agents on the Web


UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation


UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps


UADAPy: An Uncertainty-Aware Visualization and Analysis Toolbox


UAL-Bench: The First Comprehensive Unusual Activity Localization Benchmark


UAP-BEV: Uncertainty Aware Planning using Bird's Eye View generated from Surround Monocular Images


UAQFact: Evaluating Factual Knowledge Utilization of LLMs on Unanswerable Questions


UASTHN: Uncertainty-Aware Deep Homography Estimation for UAV Satellite-Thermal Geo-localization


UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection


UATVR: Uncertainty-Adaptive Text-Video Retrieval


UAV Images Dataset for Moving Object Detection from Moving Cameras


UAV Obstacle Avoidance by Human-in-the-Loop Reinforcement in Arbitrary 3D Environment


UAV Routing for Enhancing the Performance of a Classifier-in-the-loop


UAV Swarm Path Planning with Reinforcement Learning for Field prospecting


UAV Target Tracking in Urban Environments Using Deep Reinforcement Learning


UAV Tracking with Lidar as a Camera Sensors in GNSS-Denied Environments


UAV Tracking with Solid-State Lidars:Dynamic Multi-Frequency Scan Integration


UAV Trajectory Planning with Path Processing


UAV-Based Search and Rescue in Avalanches using ARVA: An Extremum Seeking Approach


UAV-DETR: Efficient End-to-End Object Detection for Unmanned Aerial Vehicle Imagery


UAV-Enhanced Combination to Application: Comprehensive Analysis and Benchmarking of a Human Detection Dataset for Disaster Scenarios


UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition


UAV-Rain1k: A Benchmark for Raindrop Removal from UAV Aerial Imagery


UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification in Video Imagery


UAV-UGV Cooperative Trajectory Optimization and Task Allocation for Medical Rescue Tasks in Post-Disaster Environments


UAV-VLA: Vision-Language-Action System for Large Scale Aerial Mission Generation


UAV-VisLoc: A Large-scale Dataset for UAV Visual Localization


UAVD4L: A Large-Scale Dataset for UAV 6-DoF Localization


UAVDB: Trajectory-Guided Adaptable Bounding Boxes for UAV Detection


UAVM: Towards Unifying Audio and Visual Models


UAVStereo: A Multiple Resolution Dataset for Stereo Matching in UAV Scenarios


UAVs Beneath the Surface: Cooperative Autonomy for Subterranean Search and Rescue in DARPA SubT


UAVs Meet LLMs: Overviews and Perspectives Toward Agentic Low-Altitude Mobility


UAlberta at SemEval-2023 Task 1: Context Augmentation and Translation for Multilingual Visual Word Sense Disambiguation


UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models


UAlign: Pushing the Limit of Template-free Retrosynthesis Prediction with Unsupervised SMILES Alignment


UBENCH: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions


UBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus


UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions


UBR$^2$S: Uncertainty-Based Resampling and Reweighting Strategy for Unsupervised Domain Adaptation


UBVRIz Light Curves of 51 Type II Supernovae


UBfuzz: Finding Bugs in Sanitizer Implementations


UBiSS: A Unified Framework for Bimodal Semantic Summarization of Videos


UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection


UC-NeRF: Uncertainty-aware Conditional Neural Radiance Fields from Endoscopic Sparse Views


UC-OWOD: Unknown-Classified Open World Object Detection


UCB Momentum Q-learning: Correcting the bias without forgetting


UCB-driven Utility Function Search for Multi-objective Reinforcement Learning


UCDFormer: Unsupervised Change Detection Using a Transformer-driven Image Translation


UCDR-Adapter: Exploring Adaptation of Pre-Trained Vision-Language Models for Universal Cross-Domain Retrieval


UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation


UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks


UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models


UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learning


UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN


UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation


UCSC at SemEval-2025 Task 3: Context, Models and Prompt Optimization for Automated Hallucination Detection in LLM Output


UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning


UCT-ADP Progressive Bias Algorithm for Solving Gomoku


UCloudNet: A Residual U-Net with Deep Supervision for Cloud Image Segmentation


UCoDe: Unified Community Detection with Graph Convolutional Networks


UCxn: Typologically Informed Annotation of Constructions Atop Universal Dependencies


UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation


UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework


UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis


UDAAN: Machine Learning based Post-Editing tool for Document Translation


UDALM: Unsupervised Domain Adaptation through Language Modeling


UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction


UDApter -- Efficient Domain Adaptation Using Adapters


UDBE: Unsupervised Diffusion-based Brightness Enhancement in Underwater Images


UDBNET: Unsupervised Document Binarization Network via Adversarial Game


UDC-UNet: Under-Display Camera Image Restoration via U-Shape Dynamic Network


UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems


UDE: A Unified Driving Engine for Human Motion Generation


UDIS: Unsupervised Discovery of Bias in Deep Visual Recognition Models


UDMC: Unified Decision-Making and Control Framework for Urban Autonomous Driving with Motion Prediction of Traffic Participants


UDON: Universal Dynamic Online distillatioN for generic image representations


UDPM: Upsampling Diffusion Probabilistic Models


UDepth: Fast Monocular Depth Estimation for Visually-guided Underwater Robots


UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models


UDoc-GAN: Unpaired Document Illumination Correction with Background Light Prior


UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning


UEMM-Air: A Synthetic Multi-modal Dataset for Unmanned Aerial Vehicle Object Detection


UFDA: Universal Federated Domain Adaptation with Practical Assumptions


UFGraphFR: An attempt at a federated recommendation system based on user text characteristics


UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models


UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction


UFNRec: Utilizing False Negative Samples for Sequential Recommendation


UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language Interface


UFO: Enhancing Diffusion-Based Video Generation with a Uniform Frame Organizer


UFO: Unified Fact Obtaining for Commonsense Question Answering


UFO: a Unified and Flexible Framework for Evaluating Factuality of Large Language Models


UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and UnFavOrable Sets


UFPS: A unified framework for partially-annotated federated segmentation in heterogeneous data distribution


UFT: Unifying Supervised and Reinforcement Fine-Tuning


UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity


UGC Quality Assessment: Exploring the Impact of Saliency in Deep Feature-Based Quality Assessment


UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New Benchmarks


UGNA-VPR: A Novel Training Paradigm for Visual Place Recognition Based on Uncertainty-Guided NeRF Augmentation


UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models


UGRec: Modeling Directed and Undirected Relations for Recommendation


UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights


UGotMe: An Embodied System for Affective Human-Robot Interaction


UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs


UHRNet: A Deep Learning-Based Method for Accurate 3D Reconstruction from a Single Fringe-Pattern


UI Layers Merger: Merging UI layers via Visual Learning and Boundary Prior


UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents


UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning


UIBert: Learning Generic Multimodal Representations for UI Understanding


UICrit: Enhancing Automated Design Evaluation with a UICritique Dataset


UID2021: An Underwater Image Dataset for Evaluation of No-reference Quality Assessment Metrics


UIEC^2-Net: CNN-based Underwater Image Enhancement Using Two Color Space


UIEDP:Underwater Image Enhancement with Diffusion Prior


UIERL: Internal-External Representation Learning Network for Underwater Image Enhancement


UIO-LLMs: Unbiased Incremental Optimization for Long-Context LLMs


UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation


UIT-HWDB: Using Transferring Method to Construct A Novel Benchmark for Evaluating Unconstrained Handwriting Image Recognition in Vietnamese