TRIAD: Automated Traceability Recovery based on Biterm-enhanced Deduction of Transitive Links among Artifacts


TRIAGE: Ethical Benchmarking of AI Models Through Mass Casualty Simulations


TRIDENT: Enhancing Large Language Model Safety with Tri-Dimensional Diversified Red-Teaming Data Synthesis


TRIDENT: Tri-modal Real-time Intrusion Detection Engine for New Targets


TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models


TRIGS: Trojan Identification from Gradient-based Signatures


TRIM: Achieving Extreme Sparsity with Targeted Row-wise Iterative Metric-driven Pruning


TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based Vision


TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering


TRIPs-Py: Techniques for Regularization of Inverse Problems in Python


TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs


TRNR: Task-Driven Image Rain and Noise Removal with a Few Images Based on Patch Analysis


TROI: Cross-Subject Pretraining with Sparse Voxel Selection for Enhanced fMRI Visual Decoding


TRON: A Fast Solver for Trajectory Optimization with Non-Smooth Cost Functions


TROPE: TRaining-Free Object-Part Enhancement for Seamlessly Improving Fine-Grained Zero-Shot Image Captioning


TRU-NET: A Deep Learning Approach to High Resolution Prediction of Rainfall


TRUCE: Private Benchmarking to Prevent Contamination and Improve Comparative Evaluation of LLMs


TRUE: Re-evaluating Factual Consistency Evaluation


TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring


TRUST: A Toolkit for TEE-Assisted Secure Outsourced Computation over Integers


TRUST: Stability and Safety Controller Synthesis for Unknown Dynamical Models Using a Single Trajectory


TRUST: Triangle Counting Reloaded on GPUs


TRUSWorthy: Toward Clinically Applicable Deep Learning for Confident Detection of Prostate Cancer in Micro-Ultrasound


TRUSformer: Improving Prostate Cancer Detection from Micro-Ultrasound Using Attention and Self-Supervision


TRacer: Scalable Graph-based Transaction Tracing for Account-based Blockchain Trading Systems


TRex: A Tomography Reconstruction Proximal Framework for Robust Sparse View X-Ray Applications


TRiMM: Transformer-Based Rich Motion Matching for Real-Time multi-modal Interaction in Digital Humans


TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments


TS-CGNet: Temporal-Spatial Fusion Meets Centerline-Guided Diffusion for BEV Mapping


TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series Classification


TS-Diff: Two-Stage Diffusion Model for Low-Light RAW Image Enhancement


TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models


TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models


TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models


TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning


TS-Net: Combining modality specific and common features for multimodal patch matching


TS-RGBD Dataset: a Novel Dataset for Theatre Scenes Description for People with Visual Impairments


TS-RIR: Translated synthetic room impulse responses for speech augmentation


TS-SAM: Fine-Tuning Segment-Anything Model for Downstream Tasks


TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings


TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models


TS-SatFire: A Multi-Task Satellite Image Time-Series Dataset for Wildfire Detection and Prediction


TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval


TS2Vec: Towards Universal Representation of Time Series


TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation


TSC-PCAC: Voxel Transformer and Sparse Convolution Based Point Cloud Attribute Compression for 3D Broadcasting


TSC: A Simple Two-Sided Constraint against Over-Smoothing


TSCLIP: Robust CLIP Fine-Tuning for Worldwide Cross-Regional Traffic Sign Recognition


TSCM: A Teacher-Student Model for Vision Place Recognition Using Cross-Metric Knowledge Distillation


TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification


TSCheater: Generating High-Quality Tibetan Adversarial Texts via Visual Similarity


TSCom-Net: Coarse-to-Fine 3D Textured Shape Completion Network


TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution


TSDF++: A Multi-Object Formulation for Dynamic Object Tracking and Reconstruction


TSDS: Data Selection for Task-Specific Model Finetuning


TSE-PI: Target Sound Extraction under Reverberant Environments with Pitch Information


TSELM: Target Speaker Extraction using Discrete Tokens and Language Models


TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time Series


TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes


TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series Forecasting


TSGAN: An Optical-to-SAR Dual Conditional GAN for Optical based SAR Temporal Shifting


TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency


TSGBench: Time Series Generation Benchmark


TSGCNeXt: Dynamic-Static Multi-Graph Convolution for Efficient Skeleton-Based Action Recognition with Long-term Learning Potential


TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum


TSGaussian: Semantic and Depth-Guided Target-Specific Gaussian Splatting from Sparse Views


TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks


TSI: A Multi-View Representation Learning Approach for Time Series Forecasting


TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection


TSIT: A Simple and Versatile Framework for Image-to-Image Translation


TSInterpret: A unified framework for time series interpretability


TSK-Streams: Learning TSK Fuzzy Systems on Data Streams


TSLANet: Rethinking Transformers for Time Series Representation Learning


TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting


TSN-FlexTest: Flexible TSN Measurement Testbed (Extended Version)


TSNet:A Two-stage Network for Image Dehazing with Multi-scale Fusion and Adaptive Learning


TSONN: Time-stepping-oriented neural network for solving partial differential equations


TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding


TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks


TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language Translation


TSPP: A Unified Benchmarking Tool for Time-series Forecasting


TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model


TSQA: Tabular Scenario Based Question Answering


TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network


TSS: Transformation-Specific Smoothing for Robustness Certification


TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer


TSSB-3M: Mining single statement bugs at massive scale


TSSuBERT: Tweet Stream Summarization Using BERT


TSTTC: A Large-Scale Dataset for Time-to-Contact Estimation in Driving Scenarios


TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection


TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition


TSdetector: Temporal-Spatial Self-correction Collaborative Learning for Colonoscopy Video Detection


TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer


TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game


TT-DF: A Large-Scale Diffusion-Based Dataset and Benchmark for Human Body Forgery Detection


TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models


TTA-Nav: Test-time Adaptive Reconstruction for Point-Goal Navigation under Visual Corruptions


TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision


TTCF4LAMMPS: A toolkit for simulation of the non-equilibrium behaviour of molecular fluids at experimentally accessible shear rates


TTD Configurations for Near-Field Beamforming: Parallel, Serial, or Hybrid?


TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias


TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models


TTM-RE: Memory-Augmented Document-Level Relation Extraction


TTML: tensor trains for general supervised machine learning


TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning


TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines


TTPXHunter: Actionable Threat Intelligence Extraction as TTPs from Finished Cyber Threat Reports


TTRD3: Texture Transfer Residual Denoising Dual Diffusion Model for Remote Sensing Image Super-Resolution


TTRISK: Tensor Train Decomposition Algorithm for Risk Averse Optimization


TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network


TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese


TTSDS -- Text-to-Speech Distribution Score


TTSWING: a Dataset for Table Tennis Swing Analysis


TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation


TTT4Rec: A Test-Time Training Approach for Rapid Adaption in Sequential Recommendation


TTTFlow: Unsupervised Test-Time Training with Normalizing Flow


TTV Constraints on Additional Planets in the WD 1856+534 system


TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss


TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable Questions


TULIP: Transformer for Upsampling of LiDAR Point Clouds


TULIPS: a Tool for Understanding the Lives, Interiors, and Physics of Stars


TULUN: Transparent and Adaptable Low-resource Machine Translation


TUM Teleoperation: Open Source Software for Remote Driving and Assistance of Automated Vehicles


TUM-FAÇADE: Reviewing and enriching point cloud benchmarks for façade segmentation


TUMLU: A Unified and Native Language Understanding Benchmark for Turkic Languages


TUMTraf V2X Cooperative Perception Dataset


TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos


TUNeS: A Temporal U-Net with Self-Attention for Video-based Surgical Phase Recognition


TUNet: A Block-online Bandwidth Extension Model based on Transformers and Self-supervised Pretraining


TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation


TURL: Table Understanding through Representation Learning


TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals


TURNA: A Turkish Encoder-Decoder Language Model for Enhanced Understanding and Generation


TURTLE: A C library for an optimistic stepping through a topography


TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation


TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing


TVE: Learning Meta-attribution for Transferable Vision Explainer


TVNet: Temporal Voting Network for Action Localization


TVR-Ranking: A Dataset for Ranked Video Moment Retrieval with Imprecise Queries


TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval


TVStoryGen: A Dataset for Generating Stories with Character Descriptions


TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation


TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility


TWAG: A Topic-Guided Wikipedia Abstract Generator


TWEAC: Transformer with Extendable QA Agent Classifiers


TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models


TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization


TWLV-I: Analysis and Insights from Holistic Evaluation on Video Foundation Models


TWOLAR: a TWO-step LLM-Augmented distillation method for passage Reranking


TWikiL -- The Twitter Wikipedia Link Dataset


TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP


TXL-PBC: a freely accessible labeled peripheral blood cell dataset


TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation


TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video


TZC: Efficient Inter-Process Communication for Robotics Middleware with Partial Serialization


TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data


TaBIIC: Taxonomy Building through Iterative and Interactive Clustering


TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in LLMs through Translation-Assisted Chain-of-Thought Processes


TaCo: Targeted Concept Erasure Prevents Non-Linear Classifiers From Detecting Protected Attributes


TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data


TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion


TaLU: A Hybrid Activation Function Combining Tanh and Rectified Linear Unit to Enhance Neural Networks


TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks


Tab-CoT: Zero-shot Tabular Chain of Thought


Tab2KG: Semantic Table Interpretation with Lightweight Semantic Profiles


Tab2Know: Building a Knowledge Base from Tables in Scientific Papers


TabAttackBench: A Benchmark for Adversarial Attacks on Tabular Data


TabAttention: Learning Attention Conditionally on Tabular Data


TabAug: Data Driven Augmentation for Enhanced Table Structure Recognition


TabConv: Low-Computation CNN Inference via Table Lookups


TabDPT: Scaling Tabular Foundation Models


TabDiff: a Multi-Modal Diffusion Model for Tabular Data Generation


TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models


TabFSBench: Tabular Benchmark for Feature Shifts in Open Environment


TabFact: A Large-scale Dataset for Table-based Fact Verification


TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks


TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction


TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation


TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features


TabIQA: Table Questions Answering on Business Document Images


TabLLM: Few-shot Classification of Tabular Data with Large Language Models


TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting


TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing


TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets


TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy


TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023


TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks


TabRep: a Simple and Effective Continuous Representation for Training Tabular Diffusion Models


TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns


TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition


TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering


TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes


TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data


TabVer: Tabular Fact Verification with Natural Logic


Table Caption Generation in Scholarly Documents Leveraging Pre-trained Language Models


Table Detection for Visually Rich Document Images


Table Question Answering for Low-resourced Indic Languages


Table Retrieval May Not Necessitate Table-specific Model Design


Table Structure Recognition using Top-Down and Bottom-Up Cues


Table Transformers for Imputing Textual Attributes


Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models


Table inference for combinatorial origin-destination choices in agent-based population synthesis


Table-Critic: A Multi-Agent Framework for Collaborative Criticism and Refinement in Table Reasoning


Table-R1: Inference-Time Scaling for Table Reasoning


Table-Text Alignment: Explaining Claim Verification Against Tables in Scientific Papers


Table-based Fact Verification with Salience-aware Learning


Table-based Fact Verification with Self-adaptive Mixture of Experts


Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time)


Table2Charts: Recommending Charts by Learning Shared Table Representations


Table2Image: Interpretable Tabular Data Classification with Realistic Image Transformations


Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval


Table2answer: Read the database and answer without SQL


TableCenterNet: A one-stage network for table structure recognition


TableGPT2: A Large Multimodal Model with Tabular Data Integration


TableMoE: Neuro-Symbolic Routing for Structured Expert Reasoning in Multimodal Table Understanding


TablePuppet: A Generic Framework for Relational Federated Learning


TableQuery: Querying tabular data with natural language


TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning


TableRAG: Million-Token Table Understanding with Language Models


TableSense: Spreadsheet Table Detection with Convolutional Neural Networks


TableTime: Reformulating Time Series Classification as Zero-Shot Table Understanding via Large Language Models


TableVQA-Bench: A Visual Question Answering Benchmark on Multiple Table Domains


Tabling Optimization for Contextual Abduction


TabuLa: Harnessing Language Models for Tabular Data Synthesis


Tabula nearly rasa: Probing the Linguistic Knowledge of Character-Level Neural Language Models Trained on Unsegmented Text


TabulaX: Leveraging Large Language Models for Multi-Class Table Transformations


Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI


Tabular Data Generation using Binary Diffusion


Tabular Structure Detection from Document Images for Resource Constrained Devices Using A Row Based Similarity Measure


Tabular Transformers for Modeling Multivariate Time Series


Tabular data generation with tensor contraction layers and transformers


Tabulation of Noncrossing Acyclic Digraphs


Tabulation of prime knots in lens spaces


Tac-Man: Tactile-Informed Prior-Free Manipulation of Articulated Objects


Tac2Structure: Object Surface Reconstruction Only through Multi Times Touch


Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation


Tacchi: A Pluggable and Low Computational Cost Elastomer Deformation Simulator for Optical Tactile Sensors


Tachikuma: Understading Complex Interactions with Multi-Character and Novel Objects by Large Language Models


Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation


Tackling Ambiguity with Images: Improved Multimodal Machine Translation and Contrastive Evaluation


Tackling Asymmetric and Circular Sequential Social Dilemmas with Reinforcement Learning and Graph-based Tit-for-Tat


Tackling Background Distraction in Video Object Segmentation


Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation


Tackling Clutter in Radar Data -- Label Generation and Detection Using PointNet++


Tackling Copyright Issues in AI Image Generation Through Originality Estimation and Genericization


Tackling Data Bias in MUSIC-AVQA: Crafting a Balanced Dataset for Unbiased Question-Answering


Tackling Data Bias in Painting Classification with Style Transfer


Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation


Tackling Data Heterogeneity in Federated Learning via Loss Decomposition


Tackling Data Heterogeneity in Federated Learning with Class Prototypes


Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing


Tackling Face Verification Edge Cases: In-Depth Analysis and Human-Machine Fusion Approach


Tackling Fake News in Bengali: Unraveling the Impact of Summarization vs. Augmentation on Pre-trained Language Models


Tackling Few-Shot Segmentation in Remote Sensing via Inpainting Diffusion Model


Tackling Hallucinations in Neural Chart Summarization


Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness


Tackling Long Code Search with Splitting, Encoding, and Aggregating


Tackling Long-Tailed Category Distribution Under Domain Shifts


Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion


Tackling Low-Resourced Sign Language Translation: UPC at WMT-SLT 22


Tackling Neural Architecture Search With Quality Diversity Optimization


Tackling Noisy Clients in Federated Learning with End-to-end Label Correction


Tackling Noisy Labels with Network Parameter Additive Decomposition


Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation


Tackling Selfish Clients in Federated Learning


Tackling Small Sample Survival Analysis via Transfer Learning: A Study of Colorectal Cancer Prognosis


Tackling Structural Hallucination in Image Translation with Local Diffusion


Tackling Universal Properties of Minimal Trap Spaces of Boolean Networks


Tackling View-Dependent Semantics in 3D Language Gaussian Splatting


Tackling covariate shift with node-based Bayesian neural networks


Tackling data scarcity in speech translation using zero-shot multilingual machine translation techniques


Tackling fluffy clouds: field boundaries detection using time series of S2 and/or S1 imagery


Tackling scalability issues in mining path patterns from knowledge graphs: a preliminary study


Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects


Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves


Tackling the Background Bias in Sparse Object Detection via Cropped Windows


Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions


Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ Segmentation


Tackling the Curse of Dimensionality in Fractional and Tempered Fractional PDEs with Physics-Informed Neural Networks


Tackling the Curse of Dimensionality with Physics-Informed Neural Networks


Tackling the Matrix Multiplication Micro-kernel Generation with Exo


Tackling the Singularities at the Endpoints of Time Intervals in Diffusion Models


Tackling the challenge of a huge materials science search space with quantum-inspired annealing


Tackling the muon identification in water Cherenkov detectors problem for the future Southern Wide-field Gamma-ray Observatory by means of Machine Learning


Tackling unsupervised multi-source domain adaptation with optimism and consistency


Tackling water table depth modeling via machine learning: From proxy observations to verifiability


TacoGFN: Target-conditioned GFlowNet for Structure-based Drug Design


TacoLM: GaTed Attention Equipped Codec Language Model are Efficient Zero-Shot Text to Speech Synthesizers


Tactical Decision-Making in Autonomous Driving by Reinforcement Learning with Uncertainty Estimation


Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation


Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-making


Tactile Aware Dynamic Obstacle Avoidance in Crowded Environment with Deep Reinforcement Learning


Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation


Tactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart Defaults


Tactile-Informed Action Primitives Mitigate Jamming in Dense Clutter


TactileAR: Active Tactile Pattern Reconstruction


TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors


TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition


TadML: A fast temporal action detection with Mechanics-MLP


Tadashi: Enabling AI-Based Automated Code Generation With Guaranteed Correctness


Tady: A Neural Disassembler without Structural Constraint Violations


Tag Embedding and Well-defined Intermediate Representation improve Auto-Formulation of Problem Description


Tag N' Train: A Technique to Train Improved Classifiers on Unlabeled Data


Tag Recommendation for Online Q&A Communities based on BERT Pre-Training Technique


Tag-Evol: Achieving Efficient Instruction Evolving via Tag Injection


Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains


Tag-Pag: A Dedicated Tool for Systematic Web Page Annotations


Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities


Tag-based regulation of modules in genetic programming improves context-dependent problem solving


TagAlign: Improving Vision-Language Alignment with Multi-Tag Classification


TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training


TagCLIP: Improving Discrimination Ability of Open-Vocabulary Semantic Segmentation


TagGPT: Large Language Models are Zero-shot Multimodal Taggers


TagLab: A human-centric AI system for interactive semantic segmentation


TagOOD: A Novel Approach to Out-of-Distribution Detection via Vision-Language Representations and Class Center Learning


TagRec++: Hierarchical Label Aware Attention Network for Question Categorization


TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration


Tagging more quark jet flavours at FCC-ee at 91 GeV with a transformer-based neural network


Tail Probabilities for Randomized Program Runtimes via Martingales for Higher Moments


Tail calibration of probabilistic forecasts


Tail inverse regression for dimension reduction with extreme response


Tail-risk protection: Machine Learning meets modern Econometrics


Tail-robust factor modelling of vector and tensor time series in high dimensions


Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction


TailBench++: Flexible Multi-Client, Multi-Server Benchmarking for Latency-Critical Workloads


TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection


Tailgating quantum circuits for high-order energy derivatives


Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition


Tailor: Generating and Perturbing Text with Semantic Controls


TailorKV: A Hybrid Framework for Long-Context Inference via Tailored KV Cache Optimization


Tailored Design of Audio-Visual Speech Recognition Models using Branchformers


Tailored Truths: Optimizing LLM Persuasion with Personalization and Fabricated Statistics


Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting


Tailored vertex ordering for faster triangle listing in large graphs


Tailoring 2D Fast Iterative Filtering algorithm for low-contrast optical fringe pattern preprocessing


Tailoring Artificial Neural Networks for Optimal Learning


Tailoring Domain Adaptation for Machine Translation Quality Estimation


Tailoring Generative AI Chatbots for Multiethnic Communities in Disaster Preparedness Communication: Extending the CASA Paradigm


Tailoring Instructions to Student's Learning Levels Boosts Knowledge Distillation


Tailoring Language Generation Models under Total Variation Distance


Tailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug Design


Tailoring Self-Attention for Graph via Rooted Subtrees


Tailoring Self-Rationalizers with Multi-Reward Distillation


Tailoring Self-Supervision for Supervised Learning


Tailoring Vaccine Messaging with Common-Ground Opinions


Tailoring microcombs with inverse-designed, meta-dispersion microresonators


Tailoring quantum error correction to spin qubits


Tailoring the mechanical properties of 3D microstructures: a deep learning and genetic algorithm inverse optimization framework


Tails: Chasing Comets with the Zwicky Transient Facility and Deep Learning


Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support


Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical Tasks


Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction


Take It Easy: Label-Adaptive Self-Rationalization for Fact Verification and Explanation Generation


Take Off the Training Wheels Progressive In-Context Learning for Effective Alignment


Take a Bite of the Reality Sandwich: Revisiting the Security of Progressive Message Authentication Codes


Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation


Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization


Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer


Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning


Take its Essence, Discard its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect


Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization


Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text


Take the aTrain. Introducing an Interface for the Accessible Transcription of Interviews


Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models


Taken by Surprise: Contrast effect for Similarity Scores


Taken out of context: On measuring situational awareness in LLMs


Takin: An open-source software for experiment planning, visualisation, and data analysis


Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation


Taking A Closer Look at Visual Relation: Unbiased Video Scene Graph Generation with Decoupled Label Learning


Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests


Taking Complete Finite Prefixes To High Level, Symbolically


Taking Flight with Dialogue: Enabling Natural Language Control for PX4-based Drone Agent


Taking Over the Stock Market: Adversarial Perturbations Against Algorithmic Traders


Taking ROCKET on an Efficiency Mission: Multivariate Time Series Classification with LightWaveS


Taking a Deeper Look at the Inverse Compositional Algorithm


Taking a Moment for Distributional Robustness


Taking advantage of noise in quantum reservoir computing


Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking


Talaria: A Framework for Simulation of Permissioned Blockchains for Logistics and Beyond


TaleCrafter: Interactive Story Visualization with Multiple Characters


Talent Recommendation on LinkedIn User Profiles


Talent or Luck? Evaluating Attribution Bias in Large Language Models


Talent, Luck, Context and Perspective on Success: a disaggregating simulation using Risk


Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QA


Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems


Talk With Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and Reaction


Talk is Not Always Cheap: Promoting Wireless Sensing Models with Text Prompts


Talk the Walk: Navigating New York City through Grounded Dialogue


Talk to Me: A Case Study on Coordinating Expertise in Large-Scale Scientific Software Projects


Talk to Your Slides: Language-Driven Agents for Efficient Slide Editing


Talk-to-Edit: Fine-Grained Facial Editing via Dialog


Talk2Radar: Bridging Natural Language with 4D mmWave Radar for 3D Referring Expression Comprehension


Talk2X -- An Open-Source Toolkit Facilitating Deployment of LLM-Powered Chatbots on the Web


Talk3D: High-Fidelity Talking Portrait Synthesis via Personalized 3D Generative Prior


TalkDown: A Corpus for Condescension Detection in Context


TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks


Talking Face Generation by Conditional Recurrent Adversarial Network


Talking Point based Ideological Discourse Analysis in News Events


Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation


Talking to myself: self-dialogues as data for conversational agents


Talking-head Generation with Rhythmic Head Motion


TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting


TallyQA: Answering Complex Counting Questions


Tame a Wild Camera: In-the-Wild Monocular Camera Calibration


Tamil-Llama: A New Tamil Language Model Based on Llama 2


Taming 3DGS: High-Quality Radiance Fields with Limited Resources


Taming CLIP for Fine-grained and Structured Visual Understanding of Museum Exhibits


Taming Context-Sensitive Languages with Principled Stateful Parsing


Taming Differentiable Logics with Coq Formalisation


Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation


Taming Diffusion for Dataset Distillation with High Representativeness


Taming Discrete Integration via the Boon of Dimensionality


Taming False Positives in Out-of-Distribution Detection with Human Feedback


Taming High-Dimensional Dynamics: Learning Optimal Projections onto Spectral Submanifolds


Taming Hyperparameter Sensitivity in Data Attribution: Practical Selection Without Costly Retraining


Taming Knowledge Conflicts in Language Models


Taming Local Effects in Graph-based Spatiotemporal Forecasting


Taming Lookup Tables for Efficient Image Retouching


Taming Multi-Domain, -Fidelity Data: Towards Foundation Models for Atomistic Scale Simulations


Taming Overconfidence in LLMs: Reward Calibration in RLHF


Taming Pretrained Transformers for Extreme Multi-label Text Classification


Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity


Taming Rectified Flow for Inversion and Editing


Taming Self-Supervised Learning for Presentation Attack Detection: De-Folding and De-Mixing


Taming Self-Training for Open-Vocabulary Object Detection


Taming Sparsely Activated Transformer with Stochastic Experts


Taming Stable Diffusion for Text to 360° Panorama Image Generation


Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve


Taming Transformers for Realistic Lidar Point Cloud Generation


Taming Uncertainty in a Complex World: The Rise of Uncertainty Quantification -- A Tutorial for Beginners


Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review


Taming the Frequency Factory of Sinusoidal Networks


Taming the Panda with Python: A Powerful Duo for Seamless Robotics Programming and Integration


Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow


Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification


Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions


Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance


Taming the Titans: A Survey of Efficient LLM Inference Serving


Tandem clustering with invariant coordinate selection


Tandem duplications and the limits of natural selection in Drosophila yakuba and Drosophila simulans


Tandem: Securing Keys by Using a Central Server While Preserving Privacy


Tangelo: An Open-source Python Package for End-to-end Chemistry Workflows on Quantum Computers


Tangent Convolutions for Dense Prediction in 3D


Tangent Images for Mitigating Spherical Distortion


Tangent Space Backpropagation for 3D Transformation Groups


Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems


Tangent Space Separability in Feedforward Neural Networks


Tangent-Normal Adversarial Regularization for Semi-supervised Learning


Tangent-Space Regularization for Neural-Network Models of Dynamical Systems


Tangential Fixpoint Iterations for Gromov-Wasserstein Barycenters


TangleSim: An Agent-based, Modular Simulator for DAG-based Distributed Ledger Technologies


Tangled Program Graphs as an alternative to DRL-based control algorithms for UAVs


Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics


TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization


Tangos: the agile numerical galaxy organization system


Tanimoto Random Features for Scalable Molecular Machine Learning


TapLab: A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge


TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning


Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis Agents


Tapping into the Natural Language System with Artificial Languages when Learning Programming


Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT Models


TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation


TarGEN: Targeted Data Generation with Large Language Models


TarViS: A Unified Approach for Target-based Video Segmentation


Tarallo: Evading Behavioral Malware Detectors in the Problem Space


Target Aware Network Architecture Search and Compression for Efficient Knowledge Transfer


Target Based Speech Act Classification in Political Campaign Text


Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks


Target Features Affect Visual Search, A Study of Eye Fixations


Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing


Target Layer Regularization for Continual Learning Using Cramer-Wold Generator


Target Localization with a Coprime Multistatic MIMO Radar via Coupled Canonical Polyadic Decomposition Based on Joint EVD


Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation


Target Propagation via Regularized Inversion


Target Selection for the DESI Peculiar Velocity Survey


Target Sound Extraction with Variable Cross-modality Clues


Target Span Detection for Implicit Harmful Content


Target Speech Extraction Based on Blind Source Separation and X-vector-based Speaker Selection Trained with Data Augmentation


Target Transformed Regression for Accurate Tracking


Target Word Masking for Location Metonymy Resolution


Target and Task specific Source-Free Domain Adaptive Image Segmentation


Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval


Target conversation extraction: Source separation using turn-taking dynamics


Target inductive methods for zero-shot regression


Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation


Target-Augmented Shared Fusion-based Multimodal Sarcasm Explanation Generation


Target-Aware Generative Augmentations for Single-Shot Adaptation


Target-Aware Spatio-Temporal Reasoning via Answering Questions in Dynamics Audio-Visual Scenarios


Target-Aware Tracking with Long-term Context Attention


Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance


Target-Driven Structured Transformer Planner for Vision-Language Navigation


Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions


Target-Guided Open-Domain Conversation Planning


Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition


Target-Side Augmentation for Document-Level Machine Translation


Target-aware Abstractive Related Work Generation with Contrastive Learning


Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning


Target-based Surrogates for Stochastic Optimization


Target-constrained Bidirectional Planning for Generation of Target-oriented Proactive Dialogue


Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation


Target-oriented Sentiment Classification with Sequential Cross-modal Semantic Graph


TargetCall: Eliminating the Wasted Computation in Basecalling via Pre-Basecalling Filtering


TargetNet: Functional microRNA Target Prediction with Deep Neural Networks


Targeted Activation Penalties Help CNNs Ignore Spurious Signals


Targeted Adversarial Attacks against Neural Machine Translation


Targeted Adversarial Attacks on Wind Power Forecasts


Targeted Adversarial Examples for Black Box Audio Systems


Targeted Adversarial Perturbations for Monocular Depth Prediction


Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits


Targeted Attack for Deep Hashing based Retrieval


Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns


Targeted Branching for the Maximum Independent Set Problem


Targeted Deep Learning System Boundary Testing


Targeted Estimation of Heterogeneous Treatment Effect in Observational Survival Analysis


Targeted Fuzzing for Unsafe Rust Code: Leveraging Selective Instrumentation


Targeted Learning on Variable Importance Measure for Heterogeneous Treatment Effect


Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower


Targeted Nonlinear Adversarial Perturbations in Images and Videos


Targeted Pandemic Containment Through Identifying Local Contact Network Bottlenecks


Targeted Search for Gravitational Waves from Highly Spinning Light Compact Binaries


Targeted Self Supervision for Classification on a Small COVID-19 CT Scan Dataset


Targeted Smooth Bayesian Causal Forests: An analysis of heterogeneous treatment effects for simultaneous versus interval medical abortion regimens over gestation


Targeted Static Analysis for OCaml C Stubs: eliminating gremlins from the code


Targeted Supervised Contrastive Learning for Long-Tailed Recognition


Targeted Syntactic Evaluation of Language Models


Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation


Targeted Visual Prompting for Medical Visual Question Answering


Targeted active learning for probabilistic models


Targeted empirical Bayes for more supervised joint factor analysis


Targeted learning in observational studies with multi-valued treatments: An evaluation of antipsychotic drug treatment safety


Targeted sampling from massive block model graphs with personalized PageRank


Targeted stochastic gradient Markov chain Monte Carlo for hidden Markov models with rare latent states


Targeted synthetic data generation for tabular data via hardness characterization


Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health records


Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release


Targeting the Weakest Link: Social Engineering Attacks in Ethereum Smart Contracts


Targetless Extrinsic Calibration of Multiple Small FoV LiDARs and Cameras using Adaptive Voxelization


Targetless Extrinsic Calibration of Stereo Cameras, Thermal Cameras, and Laser Sensors in the Wild


TartanAviation: Image, Speech, and ADS-B Trajectory Datasets for Terminal Airspace Operations


TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models


TartanVO: A Generalizable Learning-based VO


Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design


TasTe: Teaching Large Language Models to Translate through Self-Reflection


Tascade: Hardware Support for Atomic-free, Asynchronous and Efficient Reduction Trees


Task Affinity with Maximum Bipartite Matching in Few-Shot Learning


Task Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point Updates


Task Agnostic Representation Consolidation: a Self-supervised based Continual Learning Approach


Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models


Task Augmentation by Rotating for Meta-Learning


Task Compass: Scaling Multi-task Pre-training with Task Prefix


Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning


Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression


Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models


Task Oriented Conversational Modelling With Subjective Knowledge


Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition


Task Phasing: Automated Curriculum Learning from Demonstrations


Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment


Task Relabelling for Multi-task Transfer using Successor Features


Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition


Task Residual for Tuning Vision-Language Models


Task Shift: From Classification to Regression in Overparameterized Linear Models


Task Specific Attention is one more thing you need for object detection


Task Synthesis for Elementary Visual Programming in XLogoOnline Environment


Task Transfer and Domain Adaptation for Zero-Shot Question Answering


Task Transformer Network for Joint MRI Reconstruction and Super-Resolution


Task agnostic continual learning with Pairwise layer architecture


Task and Domain Adaptive Reinforcement Learning for Robot Control


Task and Joint Space Dual-Arm Compliant Control


Task and Model Agnostic Adversarial Attack on Graph Neural Networks


Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models


Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action Recognition


Task-Adaptive Few-shot Node Classification


Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability


Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition


Task-Adaptive Neural Network Search with Meta-Contrastive Learning


Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning


Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond


Task-Agnostic Attacks Against Vision Foundation Models


Task-Agnostic Dynamics Priors for Deep Reinforcement Learning


Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration


Task-Agnostic Guided Feature Expansion for Class-Incremental Learning


Task-Agnostic Low-Rank Adapters for Unseen English Dialects


Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes


Task-Aware Active Learning for Endoscopic Image Analysis


Task-Aware Compressed Sensing with Generative Adversarial Networks


Task-Aware Dynamic Transformer for Efficient Arbitrary-Scale Image Super-Resolution


Task-Aware Information Routing from Common Representation Space in Lifelong Learning


Task-Aware KV Compression For Cost-Effective Long Video Understanding


Task-Aware Monocular Depth Estimation for 3D Object Detection


Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles


Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering


Task-Based Algorithm for Matrix Multiplication: A Step Towards Block-Sparse Tensor Computing


Task-Based Assessment for Neural Networks: Evaluating Undersampled MRI Reconstructions based on Human Observer Signal Detection


Task-Circuit Quantization: Leveraging Knowledge Localization and Interpretability for Compression


Task-Disruptive Background Suppression for Few-Shot Segmentation


Task-Driven Detection of Distribution Shifts with Statistical Guarantees for Robot Learning


Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight Detection


Task-Driven Hybrid Model Reduction for Dexterous Manipulation


Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction


Task-Equivariant Graph Few-shot Learning


Task-Guided Pair Embedding in Heterogeneous Network


Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text


Task-Level Authoring for Remote Robot Teleoperation


Task-Motion Planning for Safe and Efficient Urban Driving


Task-Oriented Communication for Multi-Device Cooperative Edge Inference


Task-Oriented Communications for Visual Navigation with Edge-Aerial Collaboration in Low Altitude Economy


Task-Oriented Dialogue System as Natural Language Generation


Task-Oriented Dialogue with In-Context Learning


Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling


Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order


Task-Oriented Low-Dose CT Image Denoising


Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles


Task-Sensitive Concept Drift Detector with Constraint Embedding


Task-Specific Alignment and Multiple Level Transformer for Few-Shot Action Recognition


Task-Specific Design Optimization and Fabrication for Inflated-Beam Soft Robots with Growable Discrete Joints


Task-Specific Skill Localization in Fine-tuned Language Models


Task-Synchronized Recurrent Neural Networks


Task-adaptive Neural Process for User Cold-Start Recommendation


Task-adaptive Spatial-Temporal Video Sampler for Few-shot Action Recognition


Task-agnostic Out-of-Distribution Detection Using Kernel Density Estimation


Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations


Task-aware Distributed Source Coding under Dynamic Bandwidth


Task-aware Privacy Preservation for Multi-dimensional Data


Task-conditioned Ensemble of Expert Models for Continuous Learning


Task-driven SLAM Benchmarking For Robot Navigation


Task-driven Semantic Coding via Reinforcement Learning


Task-guided Disentangled Tuning for Pretrained Language Models


Task-guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy


Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval


Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography


Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation


Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning


Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification


Task-specific Inconsistency Alignment for Domain Adaptive Object Detection


Task-specific Optimization of Virtual Channel Linear Prediction-based Speech Dereverberation Front-End for Far-Field Speaker Verification


Task-specific Pre-training and Prompt Decomposition for Knowledge Graph Population with Language Models


Task-specific Scene Structure Representations


Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction


Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships


TaskComplexity: A Dataset for Task Complexity Classification with In-Context Learning, FLAN-T5 and GPT-4o Benchmarks


TaskCraft: Automated Generation of Agentic Tasks


TaskDrop: A Competitive Baseline for Continual Learning of Sentiment Classification


TaskGen: A Task-Based, Memory-Infused Agentic Framework using StrictJSON


TaskMet: Task-Driven Metric Learning for Model Learning


TaskTracker-tool: a Toolkit for Tracking of Code Snapshots and Activity Data During Solution of Programming Tasks


TaskWeaver: A Code-First Agent Framework


TaskWeb: Selecting Better Source Tasks for Multi-task NLP


Taskmaster Deconstructed: A Quantitative Look at Tension, Volatility, and Viewer Ratings


Taskonomy: Disentangling Task Transfer Learning


Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting


Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis


TattTRN: Template Reconstruction Network for Tattoo Retrieval


Tau Prolog: A Prolog interpreter for the Web


Taureau: A Stock Market Movement Inference Framework Based on Twitter Sentiment Analysis


Taurus: Lightweight Parallel Logging for In-Memory Database Management Systems (Extended Version)


TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-Agent Reinforcement Learning


TaxaBind: A Unified Embedding Space for Ecological Applications


TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation


Taxi1500: A Multilingual Dataset for Text Classification in 1500 Languages


Taxim: A Toolchain for Automated and Configurable Simulation for Embedded Multiprocessor Design


Taxing Collaborative Software Engineering


TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora


TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks


Taxonomic Loss for Morphological Glossing of Low-Resource Languages


Taxonomic classification with maximal exact matches in KATKA kernels and minimizer digests


Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases


Taxonomizing local versus global structure in neural network loss landscapes


Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation


Taxonomy and evolution predicting using deep learning in images


Taxonomy of Benchmarks in Graph Representation Learning


Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization


Taxonomy-Guided Zero-Shot Recommendations with LLMs


Taxonomy-as-a-Service: How To Structure Your Related Work


Taylor Polynomials in High Arithmetic Precision as Universal Approximators


Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion


Taylor dispersion in arbitrarily shaped axisymmetric channels


Taylor's law for Human Linguistic Sequences


Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement


Taylor-Culick retractions and the influence of the surroundings


Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs


Taylor-Model Physics-Informed Neural Networks (PINNs) for Ordinary Differential Equations


Taylor-mode automatic differentiation for constructing molecular rovibrational Hamiltonian operators


TaylorShift: Shifting the Complexity of Self-Attention from Squared to Linear (and Back) using Taylor-Softmax


Taylorformer: Probabilistic Modelling for Random Processes including Time Series


TdAttenMix: Top-Down Attention Guided Mixup


TeAAL: A Declarative Framework for Modeling Sparse Tensor Accelerators


TeCH: Text-guided Reconstruction of Lifelike Clothed Humans


TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks


TeCS: A Dataset and Benchmark for Tense Consistency of Machine Translation


TeClass: A Human-Annotated Relevance-based Headline Classification and Generation Dataset for Telugu


TeD-Loc: Text Distillation for Weakly Supervised Object Localization


TeD-SPAD: Temporal Distinctiveness for Self-supervised Privacy-preservation for video Anomaly Detection


TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment


TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic Segmentation


TeLU Activation Function for Fast and Stable Deep Learning


TeLeS: Temporal Lexeme Similarity Score to Estimate Confidence in End-to-End ASR


TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion


TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation


TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation


TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-state Multivariate Time-series Data


TeViS:Translating Text Synopses to Video Storyboards


TeXBLEU: Automatic Metric for Evaluate LaTeX Format


TeXpert: A Multi-Level Benchmark for Evaluating LaTeX Code Generation by LLMs


TeaMs-RL: Teaching LLMs to Generate Better Instruction Datasets via Reinforcement Learning


Teach Biped Robots to Walk via Gait Principles and Reinforcement Learning with Adversarial Critics


Teach CLIP to Develop a Number Sense for Ordinal Regression


Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation


Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration


Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations


Teach me how to Label: Labeling Functions from Natural Language with Text-to-text Transformers


Teach-DETR: Better Training DETR with Teachers


Teach2Eval: An Indirect Evaluation Method for LLM by Judging How It Teaches


TeachAugment: Data Augmentation Optimization Using Teacher Knowledge


TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL


Teachable Reinforcement Learning via Advice Distillation


Teacher Agent: A Knowledge Distillation-Free Framework for Rehearsal-based Video Incremental Learning


Teacher Forcing Recovers Reward Functions for Text Generation


Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers


Teacher Network Calibration Improves Cross-Quality Knowledge Distillation


Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation


Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition


Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation


Teacher-Student Compression with Generative Adversarial Networks


Teacher-Student Consistency For Multi-Source Domain Adaptation


Teachers Do More Than Teach: Compressing Image-to-Image Models


Teachers in concordance for pseudo-labeling of 3D sequential data


Teaching AI and Robotics to Children in a Mexican town


Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation


Teaching Arithmetic to Small Transformers


Teaching Artificial Intelligence to Perform Rapid, Resolution-Invariant Grain Growth Modeling via Fourier Neural Operator


Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts


Teaching CNNs to mimic Human Visual Cognitive Process & regularise Texture-Shape bias


Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces From Images


Teaching Dense Retrieval Models to Specialize with Listwise Distillation and LLM Data Augmentation


Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use


Teaching Functional Programmers Logic and Metatheory


Teaching Humans When To Defer to a Classifier via Exemplars


Teaching K-12 Classrooms Data Programming: A Three-Week Workshop with Online and Unplugged Activities


Teaching LLMs Music Theory with In-Context Learning and Chain-of-Thought Prompting: Pedagogical Strategies for Machines


Teaching LMMs for Image Quality Scoring and Interpreting


Teaching Language Models to Self-Improve through Interactive Demonstrations


Teaching Large Language Models an Unseen Language on the Fly


Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning


Teaching Large Language Models to Reason through Learning and Forgetting


Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer


Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference


Teaching Matters: Investigating the Role of Supervision in Vision Transformers


Teaching Models to Express Their Uncertainty in Words


Teaching Models to Understand (but not Generate) High-risk Data


Teaching Probabilistic Logical Reasoning to Transformers


Teaching Programming to Novices Using the codeBoot Online Environment


Teaching Qubits to Sing: Mission Impossible?


Teaching Smaller Language Models To Generalise To Unseen Compositional Questions


Teaching Software Engineering for AI-Enabled Systems


Teaching Specific Scientific Knowledge into Large Language Models through Additional Training


Teaching VLMs to Localize Specific Objects from In-context Examples


Teaching Visual Accessibility in Introductory Data Science Classes with Multi-Modal Data Representations


Teaching Wav2Vec2 the Language of the Brain


Teaching a Multilingual Large Language Model to Understand Multilingual Speech via Multi-Instructional Training


Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning


Teaching algebraic curves for gifted learners at age 11 by using LEGO linkages and GeoGebra


Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences


Teaching computational reproducibility for neuroimaging


Teaching contact-rich tasks from visual demonstrations by constraint extraction


Teaching dark matter simulations to speak the halo language


Teaching deep neural networks to localize single molecules for super-resolution microscopy


Teaching modeling in introductory statistics: A comparison of formula and tidyverse syntaxes


Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification


Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models


Teal: Learning-Accelerated Optimization of WAN Traffic Engineering


Team Coordination on Graphs with State-Dependent Edge Cost


Team NYCU at Defactify4: Robust Detection and Source Identification of AI-Generated Images Using CNN and CLIP-Based Models


Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge


Team O2AS at the World Robot Summit 2018: An Approach to Robotic Kitting and Assembly Tasks using General Purpose Grippers and Tools


Team Orienteering Coverage Planning with Uncertain Reward


Team Papelo: Transformer Networks at FEVER


Team Phoenix at WASSA 2021: Emotion Analysis on News Stories with Pre-Trained Language Models


Team QUST at SemEval-2024 Task 8: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting AI-generated Text


Team Trifecta at Factify5WQA: Setting the Standard in Fact Verification with Fine-Tuning


Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification


Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4


Team Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verification


Team careers in science: formation, composition and success of persistent collaborations


Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs


TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft


TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition


TeamTat: a collaborative text annotation tool


Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction


TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations


TechNet: Technology Semantic Network Based on Patent Data


TechSinger: Technique Controllable Multilingual Singing Voice Synthesis via Flow Matching


Technical Background for "A Precision Medicine Approach to Develop and Internally Validate Optimal Exercise and Weight Loss Treatments for Overweight and Obese Adults with Knee Osteoarthritis"


Technical Debt Management Automation: State of the Art and Future Perspectives


Technical Debt Management in OSS Projects: An Empirical Study on GitHub


Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics


Technical Note on Transcription Factor Motif Discovery from Importance Scores (TF-MoDISco) version 0.5.6.5


Technical Note: MC-GPU breast dosimetry validations with other Monte Carlo codes and Phase Space File implementation


Technical Note: Split Algorithm in O(n) for the Capacitated Vehicle Routing Problem


Technical Q&A Site Answer Recommendation via Question Boosting


Technical Question Answering across Tasks and Domains


Technical Report -- Comparison of Direct Finite Element Simulation with Actuator Line Models and Vortex Models for Simulation of Turbulent Flow Past a Vertical Axis wind Turbine


Technical Report for Ego4D Long Term Action Anticipation Challenge 2023


Technical Report of NICE Challenge at CVPR 2024: Caption Re-ranking Evaluation Using Ensembled CLIP and Consensus Scores


Technical Report on Subspace Pyramid Fusion Network for Semantic Segmentation


Technical Report: Combining knowledge from Transfer Learning during training and Wide Resnets


Technical Report: Hardening Code Obfuscation Against Automated Attacks


Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT


Technical Reports Compilation: Detecting the Fire Drill Anti-pattern Using Source Code and Issue-Tracking Data


Technical note: ShinyAnimalCV: open-source cloud-based web application for object detection, segmentation, and three-dimensional visualization of animals using computer vision


Technical-Report: Automating Recoverability Proofs for Cyber-Physical Systems with Runtime Assurance Architectures


Technique Inference Engine: A Recommender Model to Support Cyber Threat Hunting


Technique for the measurement of intrinsic pulse-shape discrimination for organic scintillators using tagged neutrons


TechniqueRAG: Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Text


Techniques for Improving the Energy Efficiency of Mobile Apps: A Taxonomy and Systematic Literature Review


Techniques for Inverted Index Compression


Techniques for second order convergent weakly-compressible smoothed particle hydrodynamics schemes without boundaries


Techniques to Improve Neural Math Word Problem Solvers


Technological taxonomies for hypernym and hyponym retrieval in patent texts


Technology Assisted Reviews: Finding the Last Few Relevant Documents by Asking Yes/No Questions to Reviewers


TedEval: A Fair Evaluation Metric for Scene Text Detectors


Teddy: A System for Interactive Review Analysis


TeethDreamer: 3D Teeth Reconstruction from Five Intra-oral Photographs


TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge


TelME: Teacher-leading Multimodal Fusion Network for Emotion Recognition in Conversation


Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for Telecommunications


Tele-Knowledge Pre-training for Fault Analysis


Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications


TeleAntiFraud-28k: An Audio-Text Slow-Thinking Dataset for Telecom Fraud Detection


TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction


TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge


TeleSim: A Network-Aware Testbed and Benchmark Dataset for Telerobotic Applications


TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks


TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting


Teleamplification on the Borealis boson-sampling device


TelecomTM: A Fine-Grained and Ubiquitous Traffic Monitoring System Using Pre-Existing Telecommunication Fiber-Optic Cables as Sensors


Teleconnected warm and cold extremes of North American wintertime temperatures


TelegramScrap: A comprehensive tool for scraping Telegram data


Telehealthcare and Telepathology in Pandemic: A Noninvasive, Low-Cost Micro-Invasive and Multimodal Real-Time Online Application for Early Diagnosis of COVID-19 Infection


Teleoperation of Continuum Instruments: Investigation of Linear vs. Angular Commands through Task-Priority Analysis


Telepresence System based on Simulated Holographic Display


Telescope control software and proto-model siderostat for the SDSS-V Local Volume Mapper


TeliNet: Classifying CT scan images for COVID-19 diagnosis


Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space


Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation


Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents


Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation


Tell Me What You Know About Sexism: Expert-LLM Interaction Strategies and Co-Created Definitions for Zero-Shot Sexism Detection


Tell Me What's Next: Textual Foresight for Generic UI Representations


Tell Me Why: Explainable Public Health Fact-Checking with Large Language Models


Tell Me a Story! Narrative-Driven XAI with Large Language Models


Tell What You Hear From What You See -- Video to Audio Generation Through Text


Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs


Tell machine learning potentials what they are needed for: Simulation-oriented training exemplified for glycine


Tell me about yourself: LLMs are aware of their learned behaviors


Tell me what you see: A zero-shot action recognition method based on natural language descriptions


Tell, Don't Show: Leveraging Language Models' Abstractive Retellings to Model Literary Themes


Tell-Tale Tail Latencies: Pitfalls and Perils in Database Benchmarking


Tell2Design: A Dataset for Language-Guided Floor Plan Generation


Tell2Reg: Establishing spatial correspondence between images by the same language prompts


Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence


Telling Stories for Common Sense Zero-Shot Action Recognition


Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer


Temp-Frustum Net: 3D Object Detection with Temporal Fusion


TempCLR: Reconstructing Hands via Time-Coherent Contrastive Learning


TempCLR: Temporal Alignment Representation with Contrastive Learning


TempCompass: Do Video LLMs Really Understand Videos?


TempEL: Linking Dynamically Evolving and Newly Emerging Entities


TempLM: Distilling Language Models into Template-Based Generators


TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery


TempNodeEmb:Temporal Node Embedding considering temporal edge influence matrix


TempTest: Local Normalization Distortion and the Detection of Machine-generated Text


Tempera: Spatial Transformer Feature Pyramid Network for Cardiac MRI Segmentation


Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training


Temperature Effect on Interactions of Oil Droplet with Water-wetted Shale Kerogen at Reservoir Temperatures


Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks


Temperature Fluctuations in Quasar Accretion Discs from Spectroscopic Monitoring Data


Temperature Optimization for Bayesian Deep Learning


Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data


Temperature Steerable Flows and Boltzmann Generators


Temperature as Uncertainty in Contrastive Learning


Temperature chaos is present in off-equilibrium spin-glass dynamics


Temperature dependence of microwave losses in lumped-element resonators made from superconducting nanowires with high kinetic inductance


Temperature flow in pseudo-Majorana functional renormalization for quantum spins


Temperature inhomogeneities in Mrk71 can not be discarded


Temperature-scaling surprisal estimates improve fit to human reading times -- but does it do so for the "right reasons"?


TemperatureGAN: Generative Modeling of Regional Atmospheric Temperatures


Tempest: Temporal Dynamics in Anonymity Systems


Template Matching with Deformable Diversity Similarity


Template Matters: Understanding the Role of Instruction Templates in Multimodal Language Model Evaluation and Training


Template based Graph Neural Network with Optimal Transport Distances


Template-Based Financial Report Generation in Agentic and Decomposed Information Retrieval


Template-Based Named Entity Recognition Using BART


Template-Based Posit Multiplication for Training and Inferring in Neural Networks


Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering


Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation


Template-based Question Answering using Recursive Neural Networks


Template-free Articulated Neural Point Clouds for Reposable View Synthesis


Template-free Data-to-Text Generation of Finnish Sports News


Template-free Prompt Tuning for Few-shot NER


TemplateGeNN: Neural Networks used to accelerate Gravitational Wave Template Bank Generation


Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions


Templates for Fitting Photometry of Ultra-High-Redshift Galaxies


Templates of generic geographic information for answering where-questions


Tempo Adaptation in Non-stationary Reinforcement Learning


Tempo vs. Pitch: understanding self-supervised tempo estimation


Tempo: Accelerating Transformer-Based Model Training through Memory Footprint Reduction


TempoCave: Visualizing Dynamic Connectome Datasets to Support Cognitive Behavioral Therapy


TempoGRAPHer: Aggregation Based Temporal Graph Exploration


TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph Analysis


TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning


TempoScale: A Cloud Workloads Prediction Approach Integrating Short-Term and Long-Term Information


TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media


TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks for Medicine


Temporal Action Localization Using Gated Recurrent Units


Temporal Action Localization for Inertial-based Human Activity Recognition


Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs


Temporal Action Localization with Cross Layer Task Decoupling and Refinement


Temporal Action Proposal Generation with Background Constraint


Temporal Action Segmentation from Timestamp Supervision


Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media


Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation


Temporal Aggregation for Adaptive RGBT Tracking


Temporal Alignment for History Representation in Reinforcement Learning


Temporal Alignment-Free Video Matching for Few-shot Action Recognition


Temporal Analysis of Drifting Hashtags in Textual Data Streams: A Graph-Based Application


Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers


Temporal Attention Pooling for Frequency Dynamic Convolution in Sound Event Detection


Temporal Attention for Cross-View Sequential Image Localization


Temporal Attention-Gated Model for Robust Sequence Classification


Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution


Temporal Betweenness Centrality on Shortest Walks Variants


Temporal Blind Spots in Large Language Models


Temporal Cascade Model for Analyzing Spread in Evolving Networks with Disease Monitoring Applications


Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery


Temporal Clustering of Disorder Events During the COVID-19 Pandemic


Temporal Clustering with External Memory Network for Disease Progression Modeling


Temporal Complementary Learning for Video Person Re-Identification


Temporal Configuration Model: Statistical Inference and Spreading Processes


Temporal Consistency Learning of inter-frames for Video Super-Resolution


Temporal Consistency Objectives Regularize the Learning of Disentangled Representations


Temporal Consistency for LLM Reasoning Process Error Identification


Temporal Consistent Automatic Video Colorization via Semantic Correspondence


Temporal Context Aggregation for Video Retrieval with Contrastive Learning


Temporal Context Awareness: A Defense Framework Against Multi-turn Manipulation Attacks on Large Language Models


Temporal Context for Robust Maritime Obstacle Detection


Temporal Continual Learning with Prior Compensation for Human Motion Prediction


Temporal Convolution Networks with Positional Encoding for Evoked Expression Estimation


Temporal Convolutional Attention-based Network For Sequence Modeling


Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain


Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series


Temporal Correlation Meets Embedding: Towards a 2nd Generation of JDE-based Real-Time Multi-Object Tracking


Temporal Dependencies in Feature Importance for Time Series Predictions


Temporal Difference Learning for Model Predictive Control


Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning


Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks


Temporal Dynamic Synchronous Functional Brain Network for Schizophrenia Diagnosis and Lateralization Analysis


Temporal Effects on Pre-trained Models for Language Processing Tasks


Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting


Temporal Encoding Strategies for Energy Time Series Prediction


Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction


Temporal Event Stereo via Joint Learning with Stereoscopic Flow


Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs


Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation


Temporal Feature Alignment in Contrastive Self-Supervised Learning for Human Activity Recognition


Temporal Feature Weaving for Neonatal Echocardiographic Viewpoint Video Classification


Temporal Feedback Convolutional Recurrent Neural Networks for Speech Command Recognition


Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness


Temporal Gaussian Process Regression in Logarithmic Time


Temporal Gillespie algorithm: Fast simulation of contagion processes on time-varying networks


Temporal Graph MLP Mixer for Spatio-Temporal Forecasting


Temporal Graph Network Embedding with Causal Anonymous Walks Representations


Temporal Graph Neural Networks for Irregular Data


Temporal Graph ODEs for Irregularly-Sampled Time Series


Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning


Temporal Graph Rewiring with Expander Graphs


Temporal Induced Self-Play for Stochastic Bayesian Games


Temporal Inductive Logic Reasoning over Hypergraphs


Temporal Information Extraction by Predicting Relative Time-lines


Temporal Information and Event Markup Language: TIE-ML Markup Process and Schema Version 1.0


Temporal Interest Network for User Response Prediction


Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols


Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning


Temporal Knowledge Graph Forecasting with Neural ODE


Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning


Temporal Knowledge Graph Reasoning Triggered by Memories


Temporal Knowledge Graph Reasoning with Historical Contrastive Learning


Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic Representations


Temporal Knowledge Propagation for Image-to-Video Person Re-identification


Temporal Knowledge Question Answering via Abstract Reasoning Induction


Temporal Label Smoothing for Early Event Prediction


Temporal LiDAR Frame Prediction for Autonomous Driving


Temporal Linear Item-Item Model for Sequential Recommendation


Temporal Link Prediction Using Graph Embedding Dynamics


Temporal Link Prediction in Social Networks Based on Agent Behavior Synchrony and a Cognitive Mechanism


Temporal Link Prediction: A Unified Framework, Taxonomy, and Review


Temporal Load Imbalance on Ondes3D Seismic Simulator for Different Multicore Architectures


Temporal Logic Motion Planning with Convex Optimization via Graphs of Convex Sets


Temporal Memory Attention for Video Semantic Segmentation


Temporal Modeling Approaches for Large-scale Youtube-8M Video Understanding


Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions


Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI


Temporal Ordered Clustering in Dynamic Networks: Unsupervised and Semi-supervised Learning Algorithms


Temporal Phenotyping using Deep Predictive Clustering of Disease Progression


Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision


Temporal Pyramid Transformer with Multimodal Interaction for Video Question Answering


Temporal Query Network for Efficient Multivariate Time Series Forecasting


Temporal Reasoning via Audio Question Answering


Temporal Recurrent Networks for Online Action Detection


Temporal Relational Modeling with Self-Supervision for Action Segmentation


Temporal Robustness of Stochastic Signals


Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting


Temporal Sampling for Forgotten Reasoning in LLMs


Temporal Self-Attention Network for Medical Concept Embedding


Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection


Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks


Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People


Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation


Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning


Temporal Stability in Predictive Process Monitoring


Temporal Sub-sampling of Audio Feature Sequences for Automated Audio Captioning


Temporal Subspace Clustering for Molecular Dynamics Data


Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression


Temporal Tessellation: A Unified Approach for Video Analysis


Temporal Transductive Inference for Few-Shot Video Object Segmentation


Temporal Unet: Sample Level Human Action Recognition using WiFi


Temporal Up-Sampling for Asynchronous Events


Temporal View Synthesis of Dynamic Scenes through 3D Object Motion Estimation with Multi-Plane Images


Temporal Walk Centrality: Ranking Nodes in Evolving Networks


Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal Understanding


Temporal and Between-Group Variability in College Dropout Prediction


Temporal and Semantic Evaluation Metrics for Foundation Models in Post-Hoc Analysis of Robotic Sub-tasks


Temporal and Spatial Reservoir Ensembling Techniques for Liquid State Machines


Temporal and Topological Partitioning of a Large-Scale Real-World Network: Scale-Free Properties and Minimal Model Comparison


Temporal and cross-modal attention for audio-visual zero-shot learning


Temporal and geographic analysis of the Hydroxychloroquine controversy in the French Twittosphere


Temporal anomaly detection: calibrating the surprise


Temporal clustering of social interactions trades-off disease spreading and knowledge diffusion


Temporal coherence-based self-supervised learning for laparoscopic workflow analysis


Temporal extrapolation of heart wall segmentation in cardiac magnetic resonance images via pixel tracking


Temporal graph models fail to capture global temporal dynamics


Temporal graph patterns by timed automata


Temporal origin of nestedness in interaction networks


Temporal patterns in insulin needs for Type 1 diabetes


Temporal patterns of reciprocity in communication networks


Temporal processing and context dependency in C. elegans mechanosensation


Temporal receptive field in dynamic graph learning: A comprehensive analysis


Temporal sequences of brain activity at rest are constrained by white matter structure and modulated by cognitive demands


Temporal signals drive the emergence of multicellular information networks


Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection


Temporal-Channel Topology Enhanced Network for Skeleton-Based Action Recognition


Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance


Temporal-Difference Learning Using Distributed Error Signals


Temporal-Difference Variational Continual Learning


Temporal-Mapping Photography for Event Cameras


Temporal-Relational CrossTransformers for Few-Shot Action Recognition


Temporal-Relational Hypergraph Tri-Attention Networks for Stock Trend Prediction


Temporal-attentive Covariance Pooling Networks for Video Recognition


Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation


Temporal-aware Language Representation Learning From Crowdsourced Labels


Temporal-controlled Frame Swap for Generating High-Fidelity Stereo Driving Data for Autonomy Analysis


TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models


TemporalMaxer: Maximize Temporal Context with only Max Pooling for Temporal Action Localization


TemporalStereo: Efficient Spatial-Temporal Stereo Matching Network


TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models


Temporally Aligned Audio for Video with Autoregression


Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration


Temporally Causal Discovery Tests for Discrete Time Series and Neural Spike Trains


Temporally Coherent Embeddings for Self-Supervised Video Representation Learning


Temporally Consistent Factuality Probing for Large Language Models


Temporally Consistent Online Depth Estimation Using Point-Based Fusion


Temporally Consistent Referring Video Object Segmentation with Hybrid Memory


Temporally Consistent Transformers for Video Generation


Temporally Disentangled Representation Learning under Unknown Nonstationarity


Temporally Efficient Deep Learning with Spikes


Temporally Grounding Language Queries in Videos by Contextual Boundary-aware Prediction


Temporally Guided Articulated Hand Pose Tracking in Surgical Videos


Temporally Guided Music-to-Body-Movement Generation


Temporally Identity-Aware SSD with Attentional LSTM


Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation


Temporally and Distributionally Robust Optimization for Cold-Start Recommendation


Temporally-Aware Feature Pooling for Action Spotting in Soccer Broadcasts


Temporally-Grounded Language Generation: A Benchmark for Real-Time Vision-Language Models


Temporally-Reweighted Chinese Restaurant Process Mixtures for Clustering, Imputing, and Forecasting Multivariate Time Series


Ten Quick Tips for Deep Learning in Biology


Ten Quick Tips for Harnessing the Power of ChatGPT/GPT-4 in Computational Biology


Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling


Ten-parameter simulation suite for cosmological emulation beyond $Λ$CDM


TenFor: A Tensor-Based Tool to Extract Interesting Events from Security Forums


TenIPS: Inverse Propensity Sampling for Tensor Completion


TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption


Tencent AI Lab - Shanghai Jiao Tong University Low-Resource Translation System for the WMT22 Translation Task


Tencent's Multilingual Machine Translation System for WMT22 Large-Scale African Languages


TencentLLMEval: A Hierarchical Evaluation of Real-World Capabilities for Human-Aligned LLMs


Tenplex: Dynamic Parallelism for Deep Learning using Parallelizable Tensor Collections


Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems


TensAIR: Real-Time Training of Neural Networks from Data-streams


Tensegrity Robot Proprioceptive State Estimation with Geometric Constraints


TensoFlow: Tensorial Flow-based Sampler for Inverse Rendering


Tensor Analysis with n-Mode Generalized Difference Subspace


Tensor Balancing on Statistical Manifold


Tensor Canonical Correlation Analysis with Convergence and Statistical Guarantees


Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis


Tensor Decomposition Based Attention Module for Spiking Neural Networks


Tensor Decomposition for Compressing Recurrent Neural Network


Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain Physiology


Tensor Decomposition with Relational Constraints for Predicting Multiple Types of MicroRNA-disease Associations


Tensor Decompositions for temporal knowledge base completion


Tensor Factorization via Matrix Factorization


Tensor Factorization with Label Information for Fake News Detection


Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis


Tensor Generalized Canonical Correlation Analysis


Tensor Low-rank Approximation of Finite-horizon Value Functions


Tensor Moments of Gaussian Mixture Models: Theory and Applications


Tensor Monte Carlo: particle methods for the GPU era


Tensor Network Kalman Filtering for Large-Scale LS-SVMs


Tensor Network States for Vibrational Spectroscopy


Tensor Network alternating linear scheme for MIMO Volterra system identification


Tensor Network-Constrained Kernel Machines as Gaussian Processes


Tensor Networks Meet Neural Networks: A Survey and Future Perspectives


Tensor Networks for Probabilistic Sequence Modeling


Tensor Normal Training for Deep Learning Models


Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat Recognition


Tensor Product Attention Is All You Need


Tensor Regression Networks with various Low-Rank Tensor Approximations


Tensor Renormalization Group Meets Computer Assistance


Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks


Tensor Robust PCA with Nonconvex and Nonlocal Regularization


Tensor Sandwich: Tensor Completion for Low CP-Rank Tensors via Adaptive Random Sampling


Tensor Spectral Clustering for Partitioning Higher-order Network Structures


Tensor Train Decomposition for Adversarial Attacks on Computer Vision Models


Tensor Train Factorization and Completion under Noisy Data with Prior Analysis and Rank Estimation


Tensor Train decomposition on TensorFlow (T3F)


Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning


Tensor approximation of the self-diffusion matrix of tagged particle processes


Tensor decomposition to Compress Convolutional Layers in Deep Learning


Tensor factorization based method for low rank matrix completion and its application on tensor completion


Tensor interaction in coherent elastic neutrino-nucleus scattering


Tensor network Monte Carlo simulations for the two-dimensional random-bond Ising model


Tensor network approaches for learning non-linear dynamical laws


Tensor network simulations for non-orientable surfaces


Tensor network subspace identification of polynomial state space models


Tensor networks enable the calculation of turbulence probability distributions


Tensor networks for unsupervised machine learning


Tensor parametric Hamiltonian operator inference


Tensor rank bounds and explicit QTT representations for the inverses of circulant matrices


Tensor train based isogeometric analysis for PDE approximation on parameter dependent geometries


Tensor train construction from tensor actions, with application to compression of large high order derivative tensors


Tensor tree learns hidden relational structures in data to construct generative models


Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis


Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor


Tensor-Fused Multi-View Graph Contrastive Learning


Tensor-SqRA: Modeling the Transition Rates of Interacting Molecular Systems in terms of Potential Energies


Tensor-Train Numerical Integration of Multivariate Functions with Singularities


Tensor-Train Recurrent Neural Networks for Video Classification


Tensor-Train Thermo-Field Memory Kernels for Generalized Quantum Master Equations


Tensor-Var: Variational Data Assimilation in Tensor Product Feature Space


Tensor-based Graph Learning with Consistency and Specificity for Multi-view Clustering


Tensor-based Multi-view Spectral Clustering via Shared Latent Space


Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI


Tensor-based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations


Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay


Tensor-product space-time goal-oriented error control and adaptivity with partition-of-unity dual-weighted residuals for nonstationary flow problems


Tensor-train approximation of the chemical master equation and its application for parameter inference


Tensor-train methods for sequential state and parameter learning in state-space models


Tensor-variate Gaussian process regression for efficient emulation of complex systems: comparing regressor and covariance structures in outer product and parallel partial emulators


Tensor-variate Mixture of Experts for Proportional Myographic Control of a Robotic Hand


Tensor-view Topological Graph Neural Network


Tensor4D : Efficient Neural 4D Decomposition for High-fidelity Dynamic Reconstruction and Rendering


TensorBNN: Bayesian Inference for Neural Networks using Tensorflow


TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions


TensorConvolutionPlus: A python package for distribution system flexibility area estimation


TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications


TensorFlow Quantum: A Software Framework for Quantum Machine Learning


TensorFlow with user friendly Graphical Framework for object detection API


TensorGP -- Genetic Programming Engine in TensorFlow


TensorIR: An Abstraction for Automatic Tensorized Program Optimization


TensorKrowch: Smooth integration of tensor networks in machine learning


TensorLLM: Tensorising Multi-Head Attention for Enhanced Reasoning and Compression in LLMs


TensorLy-Quantum: Quantum Machine Learning with Tensor Methods


TensorMask: A Foundation for Dense Object Segmentation


TensorMixedStates: a Julia library for simulating pure and mixed quantum states using matrix product states


TensorProjection Layer: A Tensor-Based Dimension Reduction Method in Deep Neural Networks


TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization


TensorShield: Safeguarding On-Device Inference by Shielding Critical DNN Tensors with TEE


TensorSymmetry: a package to get symmetry-adapted tensors disentangling spin-orbit coupling effect and establishing analytical relationship with magnetic order


Tensorformer: Normalized Matrix Attention Transformer for High-quality Point Cloud Reconstruction


Tensorization of neural networks for improved privacy and interpretability


Tensorized Ant Colony Optimization for GPU Acceleration


Tensorized Embedding Layers for Efficient Model Compression


Tensorized Pauli decomposition algorithm


Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together


Tensorized block rational Krylov methods for tensor Sylvester equations


Teola: Towards End-to-End Optimization of LLM-based Applications


TerDiT: Ternary Diffusion Models with Transformers


TeraMIMO: A Channel Simulator for Wideband Ultra-Massive MIMO Terahertz Communications


TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models


TeraSim: Uncovering Unknown Unsafe Events for Autonomous Vehicles through Generative Simulation


Terahertz field induced near-cutoff even-order harmonics in femtosecond laser


Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust


Term Interrelations and Trends in Software Engineering


TermAdventure: Interactively Teaching UNIX Command Line, Text Adventure Style


Termination of Graph Transformation Systems Using Weighted Subgraph Counting


Terminology-aware Medical Dialogue Generation


TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning


Ternary Phase Diagram of Nitrogen Doped Lutetium Hydrides


Ternary Singular Value Decomposition as a Better Parameterized Form in Linear Mapping


Ternary and Quaternary Curves of Small Fixed Genus and Gonality with Many Rational Points


Ternary quadratic forms representing a given arithmetic progression


Ternary unitary quantum lattice models and circuits in $2 + 1$ dimensions


TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions


TerrAInav Sim: An Open-Source Simulation of UAV Aerial Imaging from Satellite Data


Terra: Blockage Resilience in Outdoor mmWave Networks


TerraTorch: The Geospatial Foundation Models Toolkit


Terrain Analysis in StarCraft 1 and 2 as Combinatorial Optimization


Terrain Recognition and Contact Force Estimation through a Sensorized Paw for Legged Robots


Terrain-Adaptive, ALIP-Based Bipedal Locomotion Controller via Model Predictive Control and Virtual Constraints


Terrain-Aware Stride-Level Trajectory Forecasting for a Powered Hip Exoskeleton via Vision and Kinematics Fusion


Terrapin Attack: Breaking SSH Channel Integrity By Sequence Number Manipulation


Terrestrial Exoplanet Simulator (TES): an error optimal planetary systems integrator that permits close encounters


Terrier: A Deep Learning Repeat Classifier


Tertiary Eye Movement Classification by a Hybrid Algorithm


Tesseract: A Search-Based Decoder for Quantum Error Correction


Test & Roll: Profit-Maximizing A/B Tests


Test Case Generation for Dialogflow Task-Based Chatbots


Test Case Minimization with Quantum Annealers