SweiNet: Deep Learning Based Uncertainty Quantification for Ultrasound Shear Wave Elasticity Imaging


SwiDeN : Convolutional Neural Networks For Depiction Invariant Object Recognition


Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language Understanding


Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models


Swift Linked Data Miner: Mining OWL 2 EL class expressions directly from online RDF datasets


Swift sky localization of gravitational waves using deep learning seeded importance sampling


SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher


SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation


SwiftNet: Real-time Video Object Segmentation


SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems


SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers


Swim: A General-Purpose, High-Performing, and Efficient Activation Function for Locomotion Control Tasks


SwimVG: Step-wise Multimodal Fusion and Adaption for Visual Grounding


Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI


Swin MAE: Masked Autoencoders for Small Datasets


Swin SMT: Global Sequential Modeling in 3D Medical Image Segmentation


Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images


Swin-LiteMedSAM: A Lightweight Box-Based Segment Anything Model for Large-Scale Medical Image Datasets


Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining


SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning


SwinCheX: Multi-label classification on chest X-ray images with transformers


SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network


SwinDocSegmenter: An End-to-End Unified Domain Adaptive Transformer for Document Instance Segmentation


SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation


SwinFuSR: an image fusion-inspired model for RGB-guided thermal image super-resolution


SwinFuse: A Residual Swin Transformer Fusion Network for Infrared and Visible Images


SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation


SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images


SwinNet: Swin Transformer drives edge-aware RGB-D and RGB-T salient object detection


SwinSF: Image Reconstruction from Spatial-Temporal Spike Streams


SwinShadow: Shifted Window for Ambiguous Adjacent Shadow Detection


SwinTextSpotter v2: Towards Better Synergy for Scene Text Spotting


SwinTrack: A Simple and Strong Baseline for Transformer Tracking


SwinUNet3D -- A Hierarchical Architecture for Deep Traffic Prediction using Shifted Window Transformers


SwinVFTR: A Novel Volumetric Feature-learning Transformer for 3D OCT Fluid Segmentation


Swing contract pricing: with and without Neural Networks


Swiss Cheese Model for AI Safety: A Taxonomy and Reference Architecture for Multi-Layered Guardrails of Foundation Model Based Agents


Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search


Swiss Parliaments Corpus, an Automatically Aligned Swiss German Speech to Standard German Text Corpus


SwissBERT: The Multilingual Language Model for Switzerland


SwissCovid: a critical analysis of risk assessment by Swiss authorities


SwissNYF: Tool Grounded LLM Agents for Black Box Setting


Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts


Switch EMA: A Free Lunch for Better Flatness and Sharpness


Switch and Conquer: Efficient Algorithms By Switching Stochastic Gradient Oracles For Decentralized Saddle Point Problems


Switch-based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning


SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains


Switchable Online Knowledge Distillation


Switched latent force models for reverse-engineering transcriptional regulation in gene expression data


Switching Autoregressive Low-rank Tensor Models


Switching Contexts: Transportability Measures for NLP


Switching Models of Oscillatory Networks Greatly Improve Inference of Dynamic Functional Connectivity


Switching Sampling Space of Model Predictive Path-Integral Controller to Balance Efficiency and Safety in 4WIDS Vehicle Navigation


Switching divergences for spectral learning in blind speech dereverberation


Switching exploration modes in human mobility


Switching methods of level 2 for the construction of cospectral graphs


Swords: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality


SyDeBO: Symbolic-Decision-Embedded Bilevel Optimization for Long-Horizon Manipulation in Dynamic Environments


SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics


SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond


SyMFM6D: Symmetry-aware Multi-directional Fusion for Multi-View 6D Object Pose Estimation


SyNet: An Ensemble Network for Object Detection in UAV Images


SyReC Synthesizer: An MQT tool for synthesis of reversible circuits


SySTeC: A Symmetric Sparse Tensor Compiler


Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models


SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech


Sylber: Syllabic Embedding Representation of Speech from Raw Audio


Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution


Syllable Subword Tokens for Open Vocabulary Speech Recognition in Malayalam


Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones


SyllableLM: Learning Coarse Semantic Units for Speech Language Models


SyllabusQA: A Course Logistics Question Answering Dataset


Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection


Sylvester Normalizing Flows for Variational Inference


Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization


Sym-Q: Adaptive Symbolic Regression via Sequential Decision-Making


Sym-parameterized Dynamic Inference for Mixed-Domain Image Translation


SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization


SymDPoly: symmetry-adapted moment relaxations for noncommutative polynomial optimization


SymFields: An Open Source Symbolic Fields Analysis Tool for General Curvilinear Coordinates in Python


SymForce: Symbolic Computation and Code Generation for Robotics


SymFormer: End-to-end symbolic regression using transformer-based architecture


SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization


SymJAX: symbolic CPU/GPU/TPU programming


SymPhas --General purpose software for phase-field, phase-field crystal and reaction-diffusion simulations


SymPhase: Phase Symbolization for Fast Simulation of Stabilizer Circuits


SymPlanner: Deliberate Planning in Language Models with Symbolic Representation


SymPoint Revolutionized: Boosting Panoptic Symbol Spotting with Layer Feature Enhancement


SymTC: A Symbiotic Transformer-CNN Net for Instance Segmentation of Lumbar Spine MRI


SymTax: Symbiotic Relationship and Taxonomy Fusion for Effective Citation Recommendation


Symbiosis Promotes Fitness Improvements in the Game of Life


Symbol Length in Brauer Groups of Elliptic Curves


Symbol Preference Aware Generative Models for Recovering Variable Names from Stripped Binary


Symbol as Points: Panoptic Symbol Spotting via Point-based Representation


Symbol letters of Feynman integrals from Gram determinants


Symbol-Level GRAND for High-Order Modulation over Flat Fading Channels


Symbol-Specific Sparsification of Interprocedural Distributive Environment Problems


Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning


SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compression


Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step


Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems


Symbolic Computation of Sequential Equilibria


Symbolic Distillation for Learned TCP Congestion Control


Symbolic Dynamics of Music from Europe and Japan


Symbolic Execution for Quantum Error Correction Programs


Symbolic Formulae for Linear Mixed Models


Symbolic Graph Embedding using Frequent Pattern Mining


Symbolic Integration Algorithm Selection with Machine Learning: LSTMs vs Tree LSTMs


Symbolic Learning to Optimize: Towards Interpretability and Scalability


Symbolic Monitoring against Specifications Parametric in Time and Data


Symbolic Music Generation with Diffusion Models


Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion


Symbolic Music Loop Generation with Neural Discrete Representations


Symbolic Music Representations for Classification Tasks: A Systematic Evaluation


Symbolic Music Structure Analysis with Graph Representations and Changepoint Detection Methods


Symbolic Partial-Order Execution for Testing Multi-Threaded Programs


Symbolic Planning and Code Generation for Grounded Dialogue


Symbolic Priors for RNN-based Semantic Parsing


Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization


Symbolic Quantum Simulation with Quasimodo


Symbolic Reachability Analysis of B through ProB and LTSmin


Symbolic Reasoning about Quantum Circuits in Coq


Symbolic Recovery of Differential Equations: The Identifiability Problem


Symbolic Register Automata for Complex Event Recognition and Forecasting


Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data


Symbolic Regression with a Learned Concept Library


Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks and Autoregressive Policy Decomposition


Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task


Symbolic Security Predicates: Hunt Program Weaknesses


Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search


Symbolic Working Memory Enhances Language Models for Complex Rule Application


Symbolic analysis of second-order ordinary differential equations with polynomial coefficients


Symbolic and Numerical Analysis in General Relativity with Open Source Computer Algebra Systems


Symbolic and User-friendly Geometric Algebra Routines (SUGAR) for Computations in Matlab


Symbolic construction of the chemical Jacobian of quasi-steady state (QSS) chemistries for Exascale computing platforms


Symbolic dynamics of joint brain states during dyadic coordination


Symbolic image detection using scene and knowledge graphs


Symbolic integration with respect to the Haar measure on the unitary group


Symbolic music generation conditioned on continuous-valued emotions


Symbolic regression by uniform random global search


Symbolic regression for scientific discovery: an application to wind speed forecasting


Symbolic regression outperforms other models for small data sets


Symbolic-Numeric Integration of Univariate Expressions based on Sparse Regression


Symbolic-numeric algorithm for parameter estimation in discrete-time models with $\exp$


SymbolicAI: A framework for logic-based approaches combining generative models and solvers


Symbolically integrating tensor networks over various random tensors by the second version of Python RTNI


Symbrain: A large-scale dataset of MRI images for neonatal brain symmetry analysis


SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models


SymmCompletion: High-Fidelity and High-Consistency Point Cloud Completion with Symmetry Guidance


SymmNeRF: Learning to Explore Symmetry Prior for Single-View View Synthesis


SymmPI: Predictive Inference for Data with Group Symmetries


SymmeTac: Symmetric Color LED Driven Efficient Photometric Stereo Reconstruction Methods for Camera-based Tactile Sensors


Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics


Symmetric Dilated Convolution for Surgical Gesture Recognition


Symmetric Graph Contrastive Learning against Noisy Views for Recommendation


Symmetric Linear Bandits with Hidden Symmetry


Symmetric Mass Generation with four SU(2) doublet fermions


Symmetric Multi-Similarity Loss for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2024


Symmetric Network with Spatial Relationship Modeling for Natural Language-based Vehicle Retrieval


Symmetric Parallax Attention for Stereo Image Super-Resolution


Symmetric Regularization based BERT for Pair-wise Semantic Reasoning


Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales


Symmetric Stair Preconditioning of Linear Systems for Parallel Trajectory Optimization


Symmetric Transformer-based Network for Unsupervised Image Registration


Symmetric Uncertainty-Aware Feature Transmission for Depth Super-Resolution


Symmetric locally free resolutions and rationality problems


Symmetric separable convex resource allocation problems with structured disjoint interval bound constraints


Symmetric-Reciprocal-Match Method for Vector Network Analyzer Calibration


Symmetrical Bidirectional Knowledge Alignment for Zero-Shot Sketch-Based Image Retrieval


Symmetrical Linguistic Feature Distillation with CLIP for Scene Text Recognition


Symmetrical Synthesis for Deep Metric Learning


Symmetries and synchronization from whole-neural activity in {\it C. elegans} connectome: Integration of functional and structural networks


Symmetries in Directed Gaussian Graphical Models


Symmetries of all lines in monolayer crystals


Symmetries, Safety, and Self-Supervision


Symmetries, flat minima, and the conserved quantities of gradient flow


Symmetrization of Localized Molecular Orbitals


Symmetrized importance samplers for stochastic differential equations


Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis


Symmetry Detection and Classification in Drawings of Graphs


Symmetry Exploits for Bayesian Cubature Methods


Symmetry Lie Algebras of Varieties with Applications to Algebraic Statistics


Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward Architectures and Improvements with Recurrent Connections


Symmetry Relation Database and Its Application to Ferroelectric Materials Discovery


Symmetry Teleportation for Accelerated Optimization


Symmetry analysis with spin crystallographic groups: Disentangling effects free of spin-orbit coupling in emergent electromagnetism


Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation


Symmetry breaking at a topological phase transition


Symmetry breaking fluctuations split the porphyrin Q bands


Symmetry quantification and segmentation in STEM imaging through Zernike moments


Symmetry reduction for dynamic programming


Symmetry reduction of tensor networks in many-body theory I. Automated symbolic evaluation of $SU(2)$ algebra


Symmetry-Aware Autoencoders: s-PCA and s-nlPCA


Symmetry-Aware Robot Design with Structured Subgroups


Symmetry-Aware Transformer-based Mirror Detection


Symmetry-Based Disentangled Representation Learning requires Interaction with Environments


Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks


Symmetry-Constrained Generation of Diverse Low-Bandgap Molecules with Monte Carlo Tree Search


Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-Contrast CT Images


Symmetry-Guided Reinforcement Learning for Versatile Quadrupedal Gait Generation


Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials


Symmetry-Informed Governing Equation Discovery


Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules


Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist


Symmetry-driven embedding of networks in hyperbolic space


Symmetry-enforcing neural networks with applications to constitutive modeling


Symmetry-guided nonrigid registration: the case for distortion correction in multidimensional photoemission spectroscopy


Symmetry-independent stability analysis of synchronization patterns


Symmetry-preserving finite-difference discretizations of arbitrary order on structured curvilinear staggered grids


Symmetry-preserving graph attention network to solve routing problems at multiple resolutions


Symmetry-reduced Dynamic Mode Decomposition of Near-wall Turbulence


Symmetry-specific characterization of bond orientation order in DNA-assembled nanoparticle lattices


Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators


SymmetryGAN: Symmetry Discovery with Deep Learning


SympGNNs: Symplectic Graph Neural Networks for identifiying high-dimensional Hamiltonian systems and node classification


SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems


Symphonize 3D Semantic Scene Completion with Contextual Instance Queries


Symphony Generation with Permutation Invariant Language Model


Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation


SymphonyDB: A Polyglot Model for Knowledge Graph Query Processing


SymphonyQG: Towards Symphonious Integration of Quantization and Graph for Approximate Nearest Neighbor Search


Symplectic Learning for Hamiltonian Neural Networks


Symplectic Momentum Neural Networks -- Using Discrete Variational Mechanics as a prior in Deep Learning


Symplectic Neural Networks in Taylor Series Form for Hamiltonian Systems


Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control


Symplectic geometry and space mission design


Symplectic integration of learned Hamiltonian systems


Symptom extraction from the narratives of personal experiences with COVID-19 on Reddit


Syn-Att: Synthetic Speech Attribution via Semi-Supervised Unknown Multi-Class Ensemble of CNNs


Syn-QA2: Evaluating False Assumptions in Long-tail Questions with Synthetic QA Datasets


Syn-to-Real Unsupervised Domain Adaptation for Indoor 3D Object Detection


Syn3DTxt: Embedding 3D Cues for Scene Text Generation


SynA-ResNet: Spike-driven ResNet Achieved through OR Residual Connection


SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model


SynCDR : Training Cross Domain Retrieval Models with Synthetic Data


SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layouts


SynCOM: An Empirical Model for High-Resolution Simulations of Transient Solar Wind Flows


SynCPKL: Harnessing LLMs to Generate Synthetic Data for Commonsense Persona Knowledge Linking


SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints


SynDiffix: More accurate synthetic structured data


SynDrone -- Multi-modal UAV Dataset for Urban Scenarios


SynFace: Face Recognition with Synthetic Data


SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data


SynFi: Automatic Synthetic Fingerprint Generation


SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table Extraction


SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints


SynFundus-1M: A High-quality Million-scale Synthetic fundus images Dataset with Fifteen Types of Annotation


SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser


SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic Transfer


SynGuar: Guaranteeing Generalization in Programming by Example


SynKB: Semantic Search for Synthetic Procedures


SynLlama: Generating Synthesizable Molecules and Their Analogs with Large Language Models


SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond


SynPAT: A System for Generating Synthetic Physical Theories with Data


SynPick: A Dataset for Dynamic Bin Picking Scene Understanding


SynRailObs: A Synthetic Dataset for Obstacle Detection in Railway Scenarios


SynSUM -- Synthetic Benchmark with Structured and Unstructured Medical Records


SynSciPass: detecting appropriate uses of scientific text generation


SynSin: End-to-end View Synthesis from a Single Image


SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA


SynTable: A Synthetic Data Generation Pipeline for Unseen Object Amodal Instance Segmentation of Cluttered Tabletop Scenes


SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras


SynWMD: Syntax-aware Word Mover's Distance for Sentence Similarity Evaluation


SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement


Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control


Synaptic Weight Distributions Depend on the Geometry of Plasticity


Synaptogen: A cross-domain generative device model for large-scale neuromorphic circuit design


Sync+Sync: A Covert Channel Built on fsync with Storage


Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures


Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos


Sync-Switch: Hybrid Parameter Synchronization for Distributed Deep Learning


SyncDreamer: Generating Multiview-consistent Images from a Single-view Image


SyncMesh: Improving Data Locality for Function-as-a-Service in Meshed Edge Networks


SyncNet: Using Causal Convolutions and Correlating Objective for Time Delay Estimation in Audio Signals


SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis


SyncVIS: Synchronized Video Instance Segmentation


SyncVP: Joint Diffusion for Synchronous Multi-Modal Video Prediction


SyncVSR: Data-Efficient Visual Speech Recognition with End-to-End Crossmodal Audio Token Synchronization


Synch: A framework for concurrent data-structures and benchmarks


Synchronising audio and ultrasound by learning cross-modal embeddings


Synchronization of heterogeneous oscillators under network modifications: Perturbation and optimization of the synchrony alignment function


Synchronization of wave-propelled capillary spinners


Synchronized Object Detection for Autonomous Sorting, Mapping, and Quantification of Materials in Circular Healthcare


Synchronized and Fine-Grained Head for Skeleton-Based Ambiguous Action Recognition


Synchronizing Many Filesystems in Near Linear Time


Synchronous Bidirectional Learning for Multilingual Lip Reading


Synchronous Bidirectional Neural Machine Translation


Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation


Synchronous Models and Fundamental Systems in Observer Design


Synchrotron radiation-based tomography of an entire mouse brain with sub-micron voxels: augmenting interactive brain atlases with terabyte data


Syndeo: Portable Ray Clusters with Secure Containerization


Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning


Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction


Synergistic Deep Graph Clustering Network


Synergistic Interplay between Search and Large Language Models for Information Retrieval


Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem Solving


Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks


Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement


Synergistic Reinforcement and Imitation Learning for Vision-driven Autonomous Flight of UAV Along River


Synergistic Self-supervised and Quantization Learning


Synergistic coupling in ab initio-machine learning simulations of dislocations


Synergistic information in a dynamical model implemented on the human structural connectome reveals spatially distinct associations with age


Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection


Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning


Synergy as a warning sign of transitions: the case of the two-dimensional Ising model


Synergy between deep neural networks and the variational Monte Carlo method for small $^4He_N$ clusters


Synergy of Machine and Deep Learning Models for Multi-Painter Recognition


Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks


Synerise at RecSys 2021: Twitter user engagement prediction with a fast neural model


Synfeal: A Data-Driven Simulator for End-to-End Camera Localization


Synkhronos: a Multi-GPU Theano Extension for Data Parallelism


Synomaly Noise and Multi-Stage Diffusion: A Novel Approach for Unsupervised Anomaly Detection in Ultrasound Imaging


Synonym Knowledge Enhanced Reader for Chinese Idiom Reading Comprehension


Synonymous Variational Inference for Perceptual Image Compression


Synopsis: Secure and private trend inference from encrypted semantic embeddings


Syntactic Complexity Identification, Measurement, and Reduction Through Controlled Syntactic Simplification


Syntactic Data Augmentation Increases Robustness to Inference Heuristics


Syntactic Inductive Bias in Transformer Language Models: Especially Helpful for Low-Resource Languages?


Syntactic Interchangeability in Word Embedding Models


Syntactic Language Change in English and German: Metrics, Parsers, and Convergences


Syntactic Multi-view Learning for Open Information Extraction


Syntactic Scaffolds for Semantic Structures


Syntactic Substitutability as Unsupervised Dependency Syntax


Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities


Syntactic Transfer to Kyrgyz Using the Treebank Translation Method


Syntactic and Semantic-driven Learning for Open Information Extraction


Syntactic structures and the general Markov models


Syntactic vs Semantic Linear Abstraction and Refinement of Neural Networks


Syntactically Guided Generative Embeddings for Zero-Shot Skeleton Action Recognition


Syntactically Informed Text Compression with Recurrent Neural Networks


Syntactically Look-Ahead Attention Network for Sentence Compression


Syntactically Robust Training on Partially-Observed Data for Open Information Extraction


Syntactically Supervised Transformers for Faster Neural Machine Translation


Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic Consistency


Syntax Customized Video Captioning by Imitating Exemplar Sentences


Syntax and Semantics Meet in the "Middle": Probing the Syntax-Semantics Interface of LMs Through Agentivity


Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Network


Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees


Syntax-Directed Variational Autoencoder for Structured Data


Syntax-augmented Multilingual BERT for Cross-lingual Transfer


Syntax-aware Multilingual Semantic Role Labeling


Syntax-aware Neural Semantic Role Labeling


Syntax-guided Controlled Generation of Paraphrases


Syntax-guided Localized Self-attention by Constituency Syntactic Distance


SyntaxShap: Syntax-aware Explainability Method for Text Generation


Synth It Like KITTI: Synthetic Data Generation for Object Detection in Driving Scenarios


Synth-AC: Enhancing Audio Captioning with Synthetic Supervision


Synth-Empathy: Towards High-Quality Synthetic Empathy Data


Synth-SBDH: A Synthetic Dataset of Social and Behavioral Determinants of Health for Clinical Text


Synth-SONAR: Sonar Image Synthesis with Enhanced Diversity and Realism via Dual Diffusion Models and GPT Prompting


Synth-by-Reg (SbR): Contrastive learning for synthesis-based registration of paired images


SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification


SynthAI: A Multi Agent Generative AI Framework for Automated Modular HLS Design Generation


SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic Data


SynthAorta: A 3D Mesh Dataset of Parametrized Physiological Healthy Aortas


SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions


SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?


SynthDistill: Face Recognition with Knowledge Distillation from Synthetic Data


SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classification


SynthEval: A Framework for Detailed Utility and Privacy Evaluation of Tabular Synthetic Data


SynthRef: Generation of Synthetic Referring Expressions for Object Segmentation


SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture


SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM)


SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models


SynthText3D: Synthesizing Scene Text Images from 3D Virtual Worlds


SynthVLM: High-Efficiency and High-Quality Synthetic Data for Vision Language Models


SyntheT2C: Generating Synthetic Data for Fine-Tuning Large Language Models on the Text2Cypher Task


SyntheWorld: A Large-Scale Synthetic Dataset for Land Cover Mapping and Building Change Detection


Synthehicle: Multi-Vehicle Multi-Camera Tracking in Virtual Cities


Synthesis and Evaluation of a Domain-specific Large Data Set for Dungeons & Dragons


Synthesis and Reconstruction of Fingerprints using Generative Adversarial Networks


Synthesis from Satisficing and Temporal Goals


Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data


Synthesis of Adversarial DDOS Attacks Using Tabular Generative Adversarial Networks


Synthesis of Arbitrary Quantum Circuits to Topological Assembly


Synthesis of Batik Motifs using a Diffusion -- Generative Adversarial Network


Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation


Synthesis of Brain Tumor MR Images for Learning Data Augmentation


Synthesis of Compositional Animations from Textual Descriptions


Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism


Synthesis of Distributed Protocols by Enumeration Modulo Isomorphisms


Synthesis of Hybrid Automata with Affine Dynamics from Time-Series Data


Synthesis of Infinite-State Systems with Random Behavior


Synthesis of Majority Expressions through Primitive Function Manipulation


Synthesis of Parametric Hybrid Automata from Time Series


Synthesis of Quantum Vector Databases Based on Grovers Algorithm


Synthesis of Realistic ECG using Generative Adversarial Networks


Synthesis of Semantic Actions in Attribute Grammars


Synthesis of Temporally-Robust Policies for Signal Temporal Logic Tasks using Reinforcement Learning


Synthesis of and compilation with time-optimal multi-qubit gates


Synthesis of separation processes with reinforcement learning


Synthesis-Guided Feature Learning for Cross-Spectral Periocular Recognition


Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models


Synthesising Recursive Functions for First-Order Model Counting: Challenges, Progress, and Conjectures


Synthesising Reinforcement Learning Policies through Set-Valued Inductive Rule Learning


SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation


Synthesize High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model


Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation


Synthesizer Preset Interpolation using Transformer Auto-Encoders


Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation


Synthesizing Audio from Silent Video using Sequence to Sequence Modeling


Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models


Synthesizing Composite Hierarchical Structure from Symbolic Music Corpora


Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks


Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion Models


Synthesizing Efficient Data with Diffusion Models for Person Re-Identification Pre-Training


Synthesizing Efficient and Permissive Programmatic Runtime Shields for Neural Policies


Synthesizing Event-centric Knowledge Graphs of Daily Activities Using Virtual Space


Synthesizing Evolving Symbolic Representations for Autonomous Systems


Synthesizing Forestry Images Conditioned on Plant Phenotype Using a Generative Adversarial Network


Synthesizing Formal Semantics from Executable Interpreters


Synthesizing Hardware-Software Leakage Contracts for RISC-V Open-Source Processors


Synthesizing Individualized Aging Brains in Health and Disease with Generative Models and Parallel Transport


Synthesizing Informative Training Samples with GAN


Synthesizing Interpretable Control Policies through Large Language Model Guided Search


Synthesizing Invariant Barrier Certificates via Difference-of-Convex Programming


Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detection


Synthesizing Light Field Video from Monocular Video


Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling


Synthesizing MR Image Contrast Enhancement Using 3D High-resolution ConvNets


Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network


Synthesizing New Retinal Symptom Images by Multiple Generative Models


Synthesizing Optical and SAR Imagery From Land Cover Maps and Auxiliary Raster Data


Synthesizing Performance Constraints for Evaluating and Improving Code Efficiency


Synthesizing Permissive Winning Strategy Templates for Parity Games


Synthesizing Physically Plausible Human Motions in 3D Scenes


Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation


Synthesizing Realistic Data for Table Recognition


Synthesizing Resilient Strategies for Infinite-Horizon Objectives in Multi-Agent Systems


Synthesizing Sentiment-Controlled Feedback For Multimodal Text and Image Data


Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing


Synthesizing Speech from Intracranial Depth Electrodes using an Encoder-Decoder Framework


Synthesizing Structured CAD Models with Equality Saturation and Inverse Transformations


Synthesizing Tasks for Block-based Programming


Synthesizing Toffoli-optimal quantum circuits for arbitrary multi-qubit unitaries


Synthesizing Traffic Datasets using Graph Neural Networks


Synthesizing a Progression of Subtasks for Block-Based Visual Programming Tasks


Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets


Synthesizing data products, mathematical models, and observational measurements for lake temperature forecasting


Synthesizing dynamic MRI using long-term recurrent convolutional networks


Synthesizing efficient circuits for Hamiltonian simulation


Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis


Synthesizing human-like sketches from natural images using a conditional convolutional decoder


Synthesizing realistic neural population activity patterns using Generative Adversarial Networks


Synthesizing simulation and field data of solar irradiance


Synthesizing the Unseen for Zero-shot Object Detection


Synthetic 3D Data Generation Pipeline for Geometric Deep Learning in Architecture


Synthetic Aperture Radar Image Change Detection via Layer Attention-Based Noise-Tolerant Network


Synthetic Aperture Radar Image Change Detection via Siamese Adaptive Fusion Network


Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications


Synthetic Audio Helps for Cognitive State Tasks


Synthetic Augmentation with Large-scale Unconditional Pre-training


Synthetic Benchmarks for Scientific Research in Explainable Machine Learning


Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in Echocardiography


Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model


Synthetic Census Data Generation via Multidimensional Multiset Sum


Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions


Synthetic Control, Synthetic Interventions, and COVID-19 spread: Exploring the impact of lockdown measures and herd immunity


Synthetic Data -- Anonymisation Groundhog Day


Synthetic Data Augmentation for Enhancing Harmful Algal Bloom Detection with Machine Learning


Synthetic Data Generation by Supervised Neural Gas Network for Physiological Emotion Recognition Data


Synthetic Data Generation for Anomaly Detection on Table Grapes


Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models


Synthetic Data Generation of Body Motion Data by Neural Gas Network for Emotion Recognition


Synthetic Data Generation with Large Language Models for Personalized Community Question Answering


Synthetic Data RL: Task Definition Is All You Need


Synthetic Data Supervised Salient Object Detection


Synthetic Dataset Creation and Fine-Tuning of Transformer Models for Question Answering in Serbian


Synthetic Dataset Generation for Adversarial Machine Learning Research


Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language Inference


Synthetic Datasets for Machine Learning on Spatio-Temporal Graphs using PDEs


Synthetic Datasets for Program Similarity Research


Synthetic Demographic Data Generation for Card Fraud Detection Using GANs


Synthetic Dialogue Dataset Generation using LLM Agents


Synthetic Difference in Differences for Repeated Cross-Sectional Data


Synthetic Disinformation Attacks on Automated Fact Verification Systems


Synthetic Document Question Answering in Hungarian


Synthetic ECG Signal Generation Using Generative Neural Networks


Synthetic Enclosed Echoes: A New Dataset to Mitigate the Gap Between Simulated and Real-World Sonar Data


Synthetic End-User Testing: Modeling Realistic Agents Based on Behavioral Examples


Synthetic Epileptic Brain Activities Using Generative Adversarial Networks


Synthetic Forehead-creases Biometric Generation for Reliable User Verification


Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis


Synthetic Ground Truth Generation for Evaluating Generative Policy Models


Synthetic Hyperspectral Array Video Database with Applications to Cross-Spectral Reconstruction and Hyperspectral Video Coding


Synthetic Information towards Maximum Posterior Ratio for deep learning on Imbalanced Data


Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models


Synthetic Lagrangian Turbulence by Generative Diffusion Models


Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data


Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning


Synthetic Multidimensional Plasma Electron Hole Equilibria


Synthetic Mutual Gauge Field in Microwave-Shielded Polar Molecular Gases


Synthetic Network Traffic Data Generation: A Comparative Study


Synthetic Networks That Preserve Edge Connectivity


Synthetic Non-stationary Data Streams for Recognition of the Unknown


Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data Imbalance


Synthetic PET via Domain Translation of 3D MRI


Synthetic Politics: Prevalence, Spreaders, and Emotional Reception of AI-Generated Political Images on X


Synthetic Porous Microstructures: Automatic Design, Simulation, and Permeability Analysis


Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages


Synthetic Question Value Estimation for Domain Adaptation of Question Answering


Synthetic Random Environmental Time Series Generation with Similarity Control, Preserving Original Signal's Statistical Characteristics


Synthetic Skull CT Generation with Generative Adversarial Networks to Train Deep Learning Models for Clinical Transcranial Ultrasound


Synthetic Sonar Image Simulation with Various Seabed Conditions for Automatic Target Recognition


Synthetic Speech Classification: IEEE Signal Processing Cup 2022 challenge


Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study


Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class


Synthetic Tabular Data Validation: A Divergence-Based Approach


Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection


Synthetic Test Collections for Retrieval Evaluation


Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe


Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation Benchmarks


Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild


Synthetic Trajectory Generation Through Convolutional Neural Networks


Synthetic and Natural Noise Both Break Neural Machine Translation


Synthetic data enable experiments in atomistic machine learning


Synthetic data for unsupervised polyp segmentation


Synthetic data generation for a longitudinal cohort study -- Evaluation, method extension and reproduction of published data analysis results


Synthetic data generation for system identification: leveraging knowledge transfer from similar systems


Synthetic data generation method for data-free knowledge distillation in regression neural networks


Synthetic data, real errors: how (not) to publish and use synthetic data


Synthetic dataset generation for object-to-model deep learning in industrial applications


Synthetic dataset of ID and Travel Document


Synthetic graphs for link prediction benchmarking


Synthetic location trajectory generation using categorical diffusion models


Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations


Synthetic patches, real images: screening for centrosome aberrations in EM images of human cancer cells


Synthetic pre-training for neural-network interatomic potentials


Synthetic topology in Homotopy Type Theory for probabilistic programming


Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances


Synthetic-to-Real Self-supervised Robust Depth Estimation via Learning with Motion and Structure Priors


Synthetic-to-Real Unsupervised Domain Adaptation for Scene Text Detection in the Wild


Synthetic4Health: Generating Annotated Synthetic Clinical Letters


SyntheticFur dataset for neural rendering


Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research


Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations


Synthia's Melody: A Benchmark Framework for Unsupervised Domain Adaptation in Audio


Synthia: Novel Concept Design with Affordance Composition


Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data


SynthmanticLiDAR: A Synthetic Dataset for Semantic Segmentation on LiDAR Imaging


SynthoGestures: A Novel Framework for Synthetic Dynamic Hand Gesture Generation for Driving Scenarios


Synthpop++: A Hybrid Framework for Generating A Country-scale Synthetic Population


Syntonets: Toward A Harmony-Inspired General Model of Complex Networks


Syntriever: How to Train Your Retriever with Synthetic Data from LLMs


SyreaNet: A Physically Guided Underwater Image Enhancement Framework Integrating Synthetic and Real Images


Syrupy Mouthfeel and Hints of Chocolate -- Predicting Coffee Review Scores using Text Based Sentiment


SysBench: Can Large Language Models Follow System Messages?


SysLLMatic: Large Language Models are Software System Optimizers


System Administrators Prefer Command Line Interfaces, Don't They? An Exploratory Study of Firewall Interfaces


System Combination for Grammatical Error Correction Based on Integer Programming


System Combination via Quality Estimation for Grammatical Error Correction


System Design for a Data-driven and Explainable Customer Sentiment Monitor


System Effects in Identifying Risk-Optimal Data Requirements for Digital Twins of Structures


System Identification For Constrained Robots


System Identification Under Bounded Noise: Optimal Rates Beyond Least Squares


System Identification and Control of Front-Steered Ackermann Vehicles through Differentiable Physics


System Identification through Online Sparse Gaussian Process Regression with Input Noise


System Identification via Nuclear Norm Regularization


System Identification with Copula Entropy


System Level Synthesis for Affine Control Policies: Model Based and Data-Driven Settings


System Log Parsing with Large Language Models: A Review


System Network Analytics: Evolution and Stable Rules of a State Series


System Norm Regularization Methods for Koopman Operator Approximation


System for systematic literature review using multiple AI agents: Concept and an empirical evaluation


System-1.x: Learning to Balance Fast and Slow Planning with Language Models


System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization


System-Level Defense against Indirect Prompt Injection Attacks: An Information Flow Control Perspective


System-Specific Interpreters Make Megasystems Friendlier


System-Wide Security for Offline Payment Terminals


System-aware dynamic partitioning for batch and streaming workloads


System-independent lower bounds on entropy production incurred by running a computer program


System-level Safety Guard: Safe Tracking Control through Uncertain Neural Network Dynamics Models


Systematic Analysis of Biomolecular Conformational Ensembles with PENSA


Systematic Analysis of Music Representations from BERT


Systematic Assessment of Fuzzers using Mutation Analysis


Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection


Systematic Assessment of Tabular Data Synthesis Algorithms


Systematic Atomic Structure Datasets for Machine Learning Potentials: Application to Defects in Magnesium


Systematic Crosstalk Mitigation for Superconducting Qubits via Frequency-Aware Compilation


Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning


Systematic Evaluation of Generative Machine Learning Capability to Simulate Distributions of Observables at the Large Hadron Collider


Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates


Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIR


Systematic Evaluation of Predictive Fairness


Systematic Evaluation of Privacy Risks of Machine Learning Models


Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation


Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models


Systematic Generalization on gSCAN with Language Conditioned Embedding


Systematic Generalization with Edge Transformers


Systematic Generalization: What Is Required and Can It Be Learned?


Systematic Improvement of Empirical Energy Functions in the Era of Machine Learning


Systematic Investigation of Sparse Perturbed Sharpness-Aware Minimization Optimizer


Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing


Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG


Systematic Literature Review of Automation and Artificial Intelligence in Usability Issue Detection


Systematic Outliers in Large Language Models


Systematic Reasoning About Relational Domains With Graph Neural Networks


Systematic Rectification of Language Models via Dead-end Analysis


Systematic Task Exploration with LLMs: A Study in Citation Text Generation


Systematic Visual Reasoning through Object-Centric Relational Abstraction


Systematic analysis of jellyfish galaxy candidates in Fornax, Antlia, and Hydra from the S-PLUS survey: A self-supervised visual identification aid


Systematic analysis of the impact of label noise correction on ML Fairness


Systematic comparison of semi-supervised and self-supervised learning for medical image classification


Systematic comparison of trip distribution laws and models


Systematic construction of continuous-time neural networks for linear dynamical systems


Systematic derivation and validation of a reduced thermal-electrochemical model for lithium-ion batteries using asymptotic methods


Systematic discrepancies in the delivery of political ads on Facebook and Instagram


Systematic electronic structure in the cuprate parent state from quantum many-body simulations


Systematic errors in dust mass determinations: Insights from laboratory opacity measurements


Systematic evaluation of variability detection methods for eROSITA


Systematic integral evaluation for spin-resummed binary dynamics


Systematic literature review of the trust reinforcement mechanisms exist in package ecosystems


Systematic performance of the ASKAP Fast Radio Burst search algorithm


Systematic quantitative analyses reveal the folk-zoological knowledge embedded in folktales


Systematic study of color spaces and components for the segmentation of sky/cloud images


Systematic time-coarse graining for driven quantum systems


Systematically Exploring Redundancy Reduction in Summarizing Long Documents


Systematically designing better instance counting models on cell images with Neural Arithmetic Logic Units


Systematics in the XENON1T data: the 15-keV anti-axion


Systematics-insensitive periodic signal search with K2


Systemic Infinitesimal Over-dispersion on Graphical Dynamic Models


Systems of Differential Algebraic Equations in Computational Electromagnetics


Systems of Twinned Systems: A Systematic Literature Review


Systolic geometry of translation surfaces


SystolicAttention: Fusing FlashAttention within a Single Systolic Array


SyzScope: Revealing High-Risk Security Impacts of Fuzzer-Exposed Bugs in Linux kernel


SyzTrust: State-aware Fuzzing on Trusted OS Designed for IoT Devices


Syzygy of Thoughts: Improving LLM CoT with the Minimal Free Resolution


Sí o no, què penses? Catalonian Independence and Linguistic Identity on Social Media


Sólo Escúchame: Spanish Emotional Accompaniment Chatbot


Sõnajaht: Definition Embeddings and Semantic Search for Reverse Dictionary Creation


Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation


T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification


T cell morphodynamics reveal periodic shape oscillations in 3D migration


T$^3$-S2S: Training-free Triplet Tuning for Sketch to Scene Generation


T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation


T-Basis: a Compact Representation for Neural Networks


T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos


T-COL: Generating Counterfactual Explanations for General User Preferences on Variable Machine Learning Systems


T-Cal: An optimal test for the calibration of predictive models


T-CorresNet: Template Guided 3D Point Cloud Completion with Correspondence Pooling Query Generation Strategy


T-DEED: Temporal-Discriminability Enhancer Encoder-Decoder for Precise Event Spotting in Sports Videos


T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective


T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step


T-FAKE: Synthesizing Thermal Images for Facial Landmarking


T-FFTRadNet: Object Detection with Swin Vision Transformers from Raw ADC Radar Signals


T-FOLEY: A Controllable Waveform-Domain Diffusion Model for Temporal-Event-Guided Foley Sound Synthesis


T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings


T-GAE: Transferable Graph Autoencoder for Network Alignment


T-GD: Transferable GAN-generated Images Detection Framework


T-KAER: Transparency-enhanced Knowledge-Augmented Entity Resolution Framework


T-LEAP: Occlusion-robust pose estimation of walking cows using temporal information


T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects


T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs


T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge


T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning


T-MARS: Improving Visual Representations by Circumventing Text Feature Learning


T-Mamba: Frequency-Enhanced Gated Long-Range Dependency for Tooth 3D CBCT Segmentation


T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification


T-Parameters Based Modeling for Stacked Intelligent Metasurfaces: Tractable and Physically Consistent Model


T-Person-GAN: Text-to-Person Image Generation with Identity-Consistency and Manifold Mix-Up


T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks


T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems


T-Rep: Representation Learning for Time Series using Time-Embeddings


T-Reqs: Tool Support for Managing Requirements in Large-Scale Agile System Development


T-Rex: Fitting a Robust Factor Model via Expectation-Maximization


T-Rex: Text-assisted Retrosynthesis Prediction


T-SCEND: Test-time Scalable MCTS-enhanced Diffusion Model


T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP


T-SEA: Transfer-based Self-Ensemble Attack on Object Detection


T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation


T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Mixed Large Language Model Signals for Science Question Answering


T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching


T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers


T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIs


T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point Clouds


T-UNet: Triplet UNet for Change Detection in High-Resolution Remote Sensing Images


T-cell receptor specificity landscape revealed through de novo peptide design


T-count and T-depth of any multi-qubit unitary


T-curator: a trust based curation tool for LOD logs


T2-Only Prostate Cancer Prediction by Meta-Learning from Bi-Parametric MR Imaging


T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection


T2FPV: Dataset and Method for Correcting First-Person View Errors in Pedestrian Trajectory Prediction


T2G-Former: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction


T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation


T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models


T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations


T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks


T2Ranking: A large-scale Chinese Benchmark for Passage Ranking


T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation


T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models


T2VIndexer: A Generative Video Indexer for Efficient Text-Video Retrieval


T2VUnlearning: A Concept Erasing Method for Text-to-Video Diffusion Models


T2Vid: Translating Long Text into Multi-Image is the Catalyst for Video-LLMs


T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition


T3L: Translate-and-Test Transfer Learning for Cross-Lingual Text Classification


T3M: Text Guided 3D Human Motion Synthesis from Speech


T3VIP: Transformation-based 3D Video Prediction


T5-SR: A Unified Seq-to-Seq Decoding Strategy for Semantic Parsing


T5APR: Empowering Automated Program Repair across Languages through Checkpoint Ensemble


T5lephone: Bridging Speech and Text Self-supervised Models for Spoken Language Understanding via Phoneme level T5


TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling


TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training


TA2N: Two-Stage Action Alignment Network for Few-shot Action Recognition


TAB-Fields: A Maximum Entropy Framework for Mission-Aware Adversarial Planning


TABASCO: A Fast, Simplified Model for Molecular Generation with Improved Physical Quality


TABBIE: Pretrained Representations of Tabular Data


TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAE


TABSurfer: a Hybrid Deep Learning Architecture for Subcortical Segmentation


TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations


TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches


TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data


TACFN: Transformer-based Adaptive Cross-modal Fusion Network for Multimodal Emotion Recognition


TACHYON: Efficient Shared Memory Parallel Computation of Extremum Graphs


TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification


TACO -- Twitter Arguments from COnversations


TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action


TACO: Topics in Algorithmic COde generation dataset


TACO: Trash Annotations in Context for Litter Detection


TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Machine Learning


TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task


TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation


TACTIC: Translation Agents with Cognitive-Theoretic Interactive Collaboration


TACos: Learning Temporally Structured Embeddings for Few-Shot Keyword Spotting with Dynamic Time Warping


TADA: Efficient Task-Agnostic Domain Adaptation for Transformers


TADA: Task-Agnostic Dialect Adapters for English


TADA: Training-free Attribution and Out-of-Domain Detection of Audio Deepfakes


TADAR: Thermal Array-based Detection and Ranging for Privacy-Preserving Human Sensing


TADO: Time-varying Attention with Dual-Optimizer Model


TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions


TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations


TAFNet: A Three-Stream Adaptive Fusion Network for RGB-T Crowd Counting


TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning


TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation


TAG: Guidance-free Open-Vocabulary Semantic Segmentation


TAG: Task-based Accumulated Gradients for Lifelong learning


TAGC: Optimizing Gradient Communication in Distributed Transformer Training


TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data


TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models


TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data


TAGMol: Target-Aware Gradient-guided Molecule Generation


TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation


TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification


TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification


TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt


TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction


TAIA: Large Language Models are Out-of-Distribution Data Learners


TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification


TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation


TALEC: Teach Your LLM to Evaluate in Specific Domain with In-house Criteria by Criteria Division and Zero-shot Plus Few-shot


TALENT: Targeted Mining of Non-overlapping Sequential Patterns


TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information


TALLFormer: Temporal Action Localization with a Long-memory Transformer


TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation


TALOS: A toolbox for spacecraft conceptual design


TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight


TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification


TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks


TAMER: A Test-Time Adaptive MoE-Driven Framework for EHR Representation Learning


TAMER: Tree-Aware Transformer for Handwritten Mathematical Expression Recognition


TAMFormer: Multi-Modal Transformer with Learned Attention Mask for Early Intent Prediction


TAMIGO: Empowering Teaching Assistants using LLM-assisted viva and code assessment in an Advanced Computing Class


TAMM: Tensor Algebra for Many-body Methods


TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models


TAMPAR: Visual Tampering Detection for Parcel Logistics in Postal Supply Chains


TAMPC: A Controller for Escaping Traps in Novel Environments


TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition


TAMU at KBP 2017: Event Nugget Detection and Coreference Resolution


TAN Without a Burn: Scaling Laws of DP-SGD


TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo


TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning


TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition


TANQ: An open domain dataset of table answered questions


TANet: Transformer-based Asymmetric Network for RGB-D Salient Object Detection


TANet: Triplet Attention Network for All-In-One Adverse Weather Image Restoration


TAO-Amodal: A Benchmark for Tracking Any Object Amodally


TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks


TAP: Text-Aware Pre-training for Text-VQA and Text-Caption


TAP: Transparent and Privacy-Preserving Data Services


TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service


TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient


TAPE: Temporal Attention-based Probabilistic human pose and shape Estimation


TAPFixer: Automatic Detection and Repair of Home Automation Vulnerabilities based on Negated-property Reasoning


TAPIP3D: Tracking Any Point in Persistent 3D Geometry


TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model


TAPO: Task-Referenced Adaptation for Prompt Optimization


TAPOR: 3D Hand Pose Reconstruction with Fully Passive Thermal Sensing for Around-Device Interactions


TAPPS Release 1: Plugin-Extensible Platform for Technical Analysis and Applied Statistics


TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision


TAPS: Tool-Augmented Personalisation via Structured Tagging


TAR on Social Media: A Framework for Online Content Moderation


TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised Learning


TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation


TAROT: Targeted Data Selection via Optimal Transport


TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods


TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning


TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation


TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack


TASAR: Transfer-based Attack on Skeletal Action Recognition


TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection


TASEPy: a Python-based package to iteratively solve the inhomogeneous exclusion process


TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs


TASR: Timestep-Aware Diffusion Model for Image Super-Resolution


TASSIE: a TASmanian Search for Inclined Exoplanets


TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling


TASTEset -- Recipe Dataset and Food Entities Recognition Benchmark


TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation


TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance


TAU: A Framework for Video-Based Traffic Analytics Leveraging Artificial Intelligence and Unmanned Aerial Systems


TAVA: Template-free Animatable Volumetric Actors


TAVGBench: Benchmarking Text to Audible-Video Generation


TAXI: Evaluating Categorical Knowledge Editing for Language Models


TAda! Temporally-Adaptive Convolutions for Video Understanding


TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks


TB-Bench: Training and Testing Multi-Modal AI for Understanding Spatio-Temporal Traffic Behaviors from Dashcam Images/Videos


TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases from Chest X-ray Images


TB-Net: A Three-Stream Boundary-Aware Network for Fine-Grained Pavement Disease Segmentation


TB2J: a python package for computing magnetic interaction parameters


TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels


TBDM-Net: Bidirectional Dense Networks with Gender Information for Speech Emotion Recognition


TBFormer: Two-Branch Transformer for Image Forgery Localization


TBPos: Dataset for Large-Scale Precision Visual Localization


TBSSvis: Visual Analytics for Temporal Blind Source Separation


TBTK: A quantum mechanics software development kit


TBV Radar SLAM -- trust but verify loop candidates


TC++: First-principles calculation code for solids using the transcorrelated method


TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation


TC-DiffRecon: Texture coordination MRI reconstruction method based on diffusion model and modified MF-UNet method


TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing -- A Reinforcement Learning Approach


TC-GS: A Faster Gaussian Splatting Module Utilizing Tensor Cores


TC-GS: Tri-plane based compression for 3D Gaussian Splatting


TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature Scaling


TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling


TC-MGC: Text-Conditioned Multi-Grained Contrastive Learning for Text-Video Retrieval


TC-PDM: Temporally Consistent Patch Diffusion Models for Infrared-to-Visible Video Translation


TCAB: A Large-Scale Text Classification Attack Benchmark


TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos


TCC-Bench: Benchmarking the Traditional Chinese Culture Understanding Capabilities of MLLMs


TCCT-Net: Two-Stream Network Architecture for Fast and Efficient Engagement Estimation via Behavioral Feature Signals


TCDM: Transformational Complexity Based Distortion Metric for Perceptual Point Cloud Quality Assessment


TCDiff: Triple Condition Diffusion Model with 3D Constraints for Stylizing Synthetic Faces


TCE: A Test-Based Approach to Measuring Calibration Error


TCGAN: Convolutional Generative Adversarial Network for Time Series Classification and Clustering


TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning


TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks


TCLNet: Learning to Locate Typhoon Center Using Deep Neural Network


TCLR: Temporal Contrastive Learning for Video Representation


TCM-SD: A Benchmark for Probing Syndrome Differentiation via Natural Language Processing


TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions


TCMM: Token Constraint and Multi-Scale Memory Bank of Contrastive Learning for Unsupervised Person Re-identification


TCNL: Transparent and Controllable Network Learning Via Embedding Human-Guided Concepts


TCOVIS: Temporally Consistent Online Video Instance Segmentation


TCP Prague Fall-back on Detection of a Classic ECN AQM


TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness


TCP:Textual-based Class-aware Prompt tuning for Visual-Language Model


TCPFormer: Learning Temporal Correlation with Implicit Pose Proxy for 3D Human Pose Estimation


TCProF: Time-Complexity Prediction SSL Framework


TCSP 2.0: Template Based Crystal Structure Prediction with Improved Oxidation State Prediction and Chemistry Heuristics


TCSinger 2: Customizable Multilingual Zero-shot Singing Voice Synthesis


TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control


TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels


TCoMX: Tomotherapy Complexity Metrics EXtractor


TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning


TD-GEM: Text-Driven Garment Editing Mapper


TD-NeRF: Novel Truncated Depth Prior for Joint Camera Pose and Neural Radiance Field Optimization


TD-Suite: All Batteries Included Framework for Technical Debt Classification


TD-TOG Dataset: Benchmarking Zero-Shot and One-Shot Task-Oriented Grasping for Object Generalization


TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets


TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation


TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generation


TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs


TDBench: Benchmarking Vision-Language Models in Understanding Top-Down Images


TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition


TDCNet: Transparent Objects Depth Completion with CNN-Transformer Dual-Branch Parallel Network


TDCOSMO V: strategies for precise and accurate measurements of the Hubble constant with strong lensing


TDCOSMO. IX. Systematic comparison between lens modelling software programs: time delay prediction for WGD 2038-4008


TDCOSMO. VII. Boxyness/discyness in lensing galaxies : Detectability and impact on $H_0$


TDCOSMO. XII. Improved Hubble constant measurement from lensing time delays using spatially resolved stellar kinematics of the lens galaxy


TDFNet: An Efficient Audio-Visual Speech Separation Model with Top-down Fusion


TDGIA:Effective Injection Attacks on Graph Neural Networks


TDIOT: Target-driven Inference for Deep Video Object Tracking


TDLE: 2-D LiDAR Exploration With Hierarchical Planning Using Regional Division


TDMH-MAC: Real-time and multi-hop in the same wireless MAC


TDN: Temporal Difference Networks for Efficient Action Recognition


TDNetGen: An open-source, parametrizable, large-scale, transmission and distribution test system


TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics


TDS-CLIP: Temporal Difference Side Network for Image-to-Video Transfer Learning


TDSM: Triplet Diffusion for Skeleton-Text Matching in Zero-Shot Action Recognition


TE-NeXt: A LiDAR-Based 3D Sparse Convolutional Network for Traversability Estimation


TE-PAI: Exact Time Evolution by Sampling Random Circuits


TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis


TE-TAD: Towards Full End-to-End Temporal Action Detection via Time-Aligned Coordinate Expression


TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations


TEACH: Temporal Action Composition for 3D Humans


TEAL: New Selection Strategy for Small Buffers in Experience Replay Class Incremental Learning


TEAM-Net: Multi-modal Learning for Video Action Recognition with Partial Decoding


TEAM: A Multiple Testing Algorithm on the Aggregation Tree for Flow Cytometry Analysis


TEAM: Topological Evolution-aware Framework for Traffic Forecasting--Extended Version


TEAM: We Need More Powerful Adversarial Examples for DNNs


TEAM: a parameter-free algorithm to teach collaborative robots motions from user demonstrations


TEASER: Simulation-based CAN Bus Regression Testing for Self-driving Cars Software


TEASPN: Framework and Protocol for Integrated Writing Assistance Environments


TEAdapter: Supply abundant guidance for controllable text-to-music generation


TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image Segmentation


TEC: Tensor Ensemble Classifier for Big Data


TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On


TED: A Tolerant Edit Distance for Segmentation Evaluation


TEDB System Description to a Shared Task on Euphemism Detection 2022


TEDDY: Trimming Edges with Degree-based Discrimination strategY


TEDL: A Text Encryption Method Based on Deep Learning


TEDNet: Twin Encoder Decoder Neural Network for 2D Camera and LiDAR Road Detection


TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations


TEE-based decentralized recommender systems: The raw data sharing redemption


TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs


TEII: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion Detection


TEIMMA: The First Content Reuse Annotator for Text, Images, and Math


TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection


TEMOS: Generating diverse human motions from textual descriptions


TEMPERA: Test-Time Prompting via Reinforcement Learning


TEMPI: An Interposed MPI Library with a Canonical Representation of CUDA-aware Datatypes


TEMPLATES: A Robust Outlier Rejection Method for JWST/NIRSpec Integral Field Spectroscopy


TEMPLE:Temporal Preference Learning of Video LLMs via Difficulty Scheduling and Pre-SFT Alignment


TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action


TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation


TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision


TENNs-PLEIADES: Building Temporal Kernels with Orthogonal Polynomials


TENT: Tensorized Encoder Transformer for Temperature Forecasting


TENet: Targetness Entanglement Incorporating with Multi-Scale Pooling and Mutually-Guided Fusion for RGB-E Object Tracking


TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data


TEOcc: Radar-camera Multi-modal Occupancy Prediction via Temporal Enhancement


TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition


TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors


TERIME: An improved RIME algorithm with enhanced exploration and exploitation for robust parameter extraction of photovoltaic models


TERL: Large-Scale Multi-Target Encirclement Using Transformer-Enhanced Reinforcement Learning


TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding


TESS 2: A Large-Scale Generalist Diffusion Language Model


TESS Transit Timing of Hundreds of Hot Jupiters


TESS spots a mini-neptune interior to a hot saturn in the TOI-2000 system


TESS-Gaia Light Curve: a PSF-based TESS FFI light curve product


TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks


TESS: Text-to-Text Self-Conditioned Simplex Diffusion


TESSILATOR: a one-stop shop for measuring TESS rotation periods


TESSreduce: transient focused TESS data reduction pipeline


TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series


TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding


TESTEVAL: Benchmarking Large Language Models for Test Case Generation


TETRIS: Composing FHE Techniques for Private Functional Exploration Over Large Datasets


TEXGen: a Generative Diffusion Model for Mesh Textures


TEXT2AFFORD: Probing Object Affordance Prediction abilities of Language Models solely from Text


TEXTure: Text-Guided Texturing of 3D Shapes


TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings


TF-Blender: Temporal Feature Blender for Video Object Detection


TF-CLIP: Learning Text-free CLIP for Video-based Person Re-Identification


TF-CR: Weighting Embeddings for Text Classification


TF-GNN: Graph Neural Networks in TensorFlow


TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study


TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement


TF-Mamba: Text-enhanced Fusion Mamba with Missing Modalities for Robust Multimodal Sentiment Analysis


TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search


TF-Replicator: Distributed Machine Learning for Researchers


TF-SepNet: An Efficient 1D Kernel Design in CNNs for Low-Complexity Acoustic Scene Classification


TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models


TF2AIF: Facilitating development and deployment of accelerated AI models on the cloud-edge continuum


TF3P: Three-dimensional Force Fields Fingerprint Learned by Deep Capsular Network


TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation


TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis


TFBS-Finder: Deep Learning-based Model with DNABERT and Convolutional Networks to Predict Transcription Factor Binding Sites


TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation


TFCT-I2P: Three stream fusion network with color aware transformer for image-to-point cloud registration


TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting


TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification


TFG-Flow: Training-free Guidance in Multimodal Generative Flow


TFG: Unified Training-Free Guidance for Diffusion Models


TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph


TFLOP: Table Structure Recognition Framework with Layout Pointer Mechanism


TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis


TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic Scene


TFS-ViT: Token-Level Feature Stylization for Domain Generalization


TFT-multi: simultaneous forecasting of vital sign trajectories in the ICU


TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish Language


TFermion: A non-Clifford gate cost assessment library of quantum phase estimation algorithms for quantum chemistry


TFormer: A throughout fusion transformer for multi-modal skin lesion diagnosis


TG-Critic: A Timbre-Guided Model for Reference-Independent Singing Evaluation


TG-GAN: Continuous-time Temporal Graph Generation with Deep Generative Models


TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation


TGANet: Text-guided attention for improved polyp segmentation


TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics


TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization


TGDT: A Temporal Graph-based Digital Twin for Urban Traffic Corridors


TGFuse: An Infrared and Visible Image Fusion Approach Based on Transformer and Generative Adversarial Network


TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning


TGGLinesPlus: A robust topological graph-guided computer vision algorithm for line detection from images


TGIF: A New Dataset and Benchmark on Animated GIF Description


TGIF: Text-Guided Inpainting Forgery Dataset


TGK-Planner: An Efficient Topology Guided Kinodynamic Planner for Autonomous Quadrotors


TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs


TGMM: Combining Parse Tree with GPU for Scalable Multilingual and Multi-Granularity Code Clone Detection


TGPT-PINN: Nonlinear model reduction with transformed GPT-PINNs


TGRMPT: A Head-Shoulder Aided Multi-Person Tracker and a New Large-Scale Dataset for Tour-Guide Robot


TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition


TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale


TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature Learning


THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression


THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation


THEMIS: Time, Heterogeneity, and Energy Minded Scheduling for Fair Multi-Tenant Use in FPGAs


THEMIS: Towards Practical Intellectual Property Protection for Post-Deployment On-Device Deep Learning Models


THOR-Net: End-to-end Graformer-based Realistic Two Hands and Object Reconstruction with Self-supervision


THOR2: Topological Analysis for 3D Shape and Color-Based Human-Inspired Object Recognition in Unseen Environments


THOR: An Algorithm for Cadence-Independent Asteroid Discovery


THOS: A Benchmark Dataset for Targeted Hate and Offensive Speech


THOUGHTSCULPT: Reasoning with Intermediate Revision and Search


THQA: A Perceptual Quality Assessment Database for Talking Heads


THREAD: Thinking Deeper with Recursive Spawning


THUIR at WSDM Cup 2023 Task 1: Unbiased Learning to Rank


THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language Models


THiFLY Research at SemEval-2023 Task 7: A Multi-granularity System for CTR-based Textual Entailment and Evidence Retrieval


THiNK: Can Large Language Models Think-aloud?


THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting


THÖR-MAGNI Act: Actions for Human Motion Modeling in Robot-Shared Industrial Spaces


TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models


TIA: A Teaching Intonation Assessment Dataset in Real Teaching Situations


TIAM -- A Metric for Evaluating Alignment in Text-to-Image Generation


TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases


TIAViz: A Browser-based Visualization Tool for Computational Pathology Models


TIB's Visual Analytics Group at MediaEval '20: Detecting Fake News on Corona Virus and 5G Conspiracy


TIB-VA at SemEval-2022 Task 5: A Multimodal Architecture for the Detection and Classification of Misogynous Memes


TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models


TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression


TIDE: Temporally Incremental Disparity Estimation via Pattern Flow in Structured Light System


TIDE: Test Time Few Shot Object Detection


TIDE: Time Derivative Diffusion for Deep Learning on Graphs


TIDMAD: Time Series Dataset for Discovering Dark Matter with AI Denoising


TIE-KD: Teacher-Independent and Explainable Knowledge Distillation for Monocular Depth Estimation


TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion


TIE: Topological Information Enhanced Structural Reading Comprehension on Web Pages


TIER: Text-Image Encoder-based Regression for AIGC Image Quality Assessment


TIER: Text-Image Entropy Regularization for CLIP-style models


TIES-Merging: Resolving Interference When Merging Models


TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering


TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment


TIGER: Temporal Interaction Graph Embedding with Restarts


TIGER: Temporally Improved Graph Entity Linker


TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks


TIGRIS: An Informed Sampling-based Algorithm for Informative Path Planning


TIGS: An Inference Algorithm for Text Infilling with Gradient Search


TILDE-Q: A Transformation Invariant Loss Function for Time-Series Forecasting


TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining


TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs


TILT: A GDPR-Aligned Transparency Information Language and Toolkit for Practical Privacy Engineering


TIM: A Time Interval Machine for Audio-Visual Action Recognition


TIM: Teaching Large Language Models to Translate with Comparison


TIME: A Multi-level Benchmark for Temporal Reasoning of LLMs in Real-World Scenarios


TIMEDIAL: Temporal Commonsense Reasoning in Dialog


TIMELINE: Exhaustive Annotation of Temporal Relations Supporting the Automatic Ordering of Events in News Articles


TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification


TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation


TIML: Task-Informed Meta-Learning for Agriculture


TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding


TIMS: A Tactile Internet-Based Micromanipulation System with Haptic Guidance for Surgical Training


TINA: Acceleration of Non-NN Signal Processing Algorithms Using NN Accelerators


TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes


TINC: Tree-structured Implicit Neural Compression


TINQ: Temporal Inconsistency Guided Blind Video Quality Assessment


TINYCD: A (Not So) Deep Learning Model For Change Detection


TIP-Search: Time-Predictable Inference Scheduling for Market Prediction under Uncertain Load


TIPCB: A Simple but Effective Part-based Convolutional Baseline for Text-based Person Search


TIRA: An OpenAPI Extension and Toolbox for GDPR Transparency in RESTful Architectures


TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights


TISCC: A Surface Code Compiler and Resource Estimator for Trapped-Ion Processors


TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation


TITAN: Bringing The Deep Image Prior to Implicit Representations


TITE-CLRM: Towards efficient time-to-event dose-escalation guidance of multi-cycle cancer therapies


TIVE: A Toolbox for Identifying Video Instance Segmentation Errors


TJ4DRadSet: A 4D Radar Dataset for Autonomous Driving


TJDR: A High-Quality Diabetic Retinopathy Pixel-Level Annotation Dataset


TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification


TK-Mamba: Marrying KAN with Mamba for Text-Driven 3D Medical Image Segmentation


TKAN: Temporal Kolmogorov-Arnold Networks


TKG-DM: Training-free Chroma Key Content Generation Diffusion Model


TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use


TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization


TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning Compression


TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification


TLB and Pagewalk Performance in Multicore Architectures with Large Die-Stacked DRAM Cache


TLBfind: a Thermal Lattice Boltzmann code for concentrated emulsions with FINite-size Droplets


TLCM: Training-efficient Latent Consistency Model for Image Generation with 2-8 Steps


TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback


TLD-READY: Traffic Light Detection -- Relevance Estimation and Deployment Analysis


TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries for DeBERTa Report Analysis


TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media Posts


TLDR: Extreme Summarization of Scientific Documents


TLDR: Text Based Last-layer Retraining for Debiasing Image Classifiers


TLM: Token-Level Masking for Transformers


TLOB: A Novel Transformer Model with Dual Attention for Price Trend Prediction with Limit Order Book Data


TLP: A Deep Learning-based Cost Model for Tensor Program Tuning


TLRN: Temporal Latent Residual Networks For Large Deformation Image Registration


TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation


TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs


TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration


TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts


TMA-Grid: An open-source, zero-footprint web application for FAIR Tissue MicroArray De-arraying


TMA: Temporal Motion Aggregation for Event-based Optical Flow


TMBuD: A dataset for urban scene building detection


TMComposites: Plug-and-Play Collaboration Between Specialized Tsetlin Machines


TME-BNA: Temporal Motif-Preserving Network Embedding with Bicomponent Neighbor Aggregation


TMGBench: A Systematic Game Benchmark for Evaluating Strategic Reasoning Abilities of LLMs


TMI! Finetuned Models Leak Private Information from their Pretraining Data


TMID: A Comprehensive Real-world Dataset for Trademark Infringement Detection in E-Commerce


TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text


TMMax: High-performance modeling of multilayer thin-film structures using transfer matrix method with JAX


TMP: Temporal Motion Propagation for Online Video Super-Resolution


TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization


TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation


TMSTC*: A Turn-minimizing Algorithm For Multi-robot Coverage Path Planning


TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation


TMT: Tri-Modal Translation between Speech, Image, and Text by Processing Different Modalities as Different Languages


TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification


TNM: A Tool for Mining of Socio-Technical Data from Git Repositories


TNN7: A Custom Macro Suite for Implementing Highly Optimized Designs of Neuromorphic TNNs


TNNT: The Named Entity Recognition Toolkit


TNQMetro: Tensor-network based package for efficient quantum metrology computations


TNT-KID: Transformer-based Neural Tagger for Keyword Identification


TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenes


TOAST: Transfer Learning via Attention Steering


TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue


TOD-Flow: Modeling the Structure of Task-Oriented Dialogues


TOD3Cap: Towards 3D Dense Captioning in Outdoor Scenes


TOD: GPU-accelerated Outlier Detection via Tensor Operations


TODE-Trans: Transparent Object Depth Estimation with Transformer


TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tags


TOGA: A Neural Method for Test Oracle Generation


TOGS: Gaussian Splatting with Temporal Opacity Offset for Real-Time 4D DSA Rendering


TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation


TOI-2257 b: A highly eccentric long-period sub-Neptune transiting a nearby M dwarf


TOI-5005 b: A super-Neptune in the savanna near the ridge


TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation


TOKEN is a MASK: Few-shot Named Entity Recognition with Pre-trained Language Models


TOMAS: Topology Optimization of Multiscale Fluid Devices using Variational Autoencoders and Super-Shapes


TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models


TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation


TOMI: Transforming and Organizing Music Ideas for Multi-Track Compositions with Full-Song Structure


TON-VIO: Online Time Offset Modeling Networks for Robust Temporal Alignment in High Dynamic Motion VIO


TONE: A 3-Tiered ONtology for Emotion analysis


TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music


TOOD: Task-aligned One-stage Object Detection


TOOL-ED: Enhancing Empathetic Response Generation with the Tool Calling Capability of LLM


TOOLVERIFIER: Generalization to New Tools via Self-Verification


TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning


TOP-ReID: Multi-spectral Object Re-Identification with Token Permutation


TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering


TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment


TOPFORMER: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing Styles


TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes


TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment


TOPJoin: A Context-Aware Multi-Criteria Approach for Joinable Column Search


TOPress3D: 3D topology optimization with design-dependent pressure loads in MATLAB


TOPress: a MATLAB implementation for topology optimization of structures subjected to design-dependent pressure loads


TORAX: A Fast and Differentiable Tokamak Transport Simulator in JAX


TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration


TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis


TP-GMOT: Tracking Generic Multiple Object by Textual Prompt with Motion-Appearance Cost (MAC) SORT


TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view Clustering


TPDE: A Fast Adaptable Compiler Back-End Framework


TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering


TPFNet: A Novel Text In-painting Transformer for Text Removal


TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices


TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking


TPM-FAIL: TPM meets Timing and Lattice Attacks


TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification


TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction


TPOT: Topology Preserving Optimal Transport in Retinal Fundus Image Enhancement


TPP-Gaze: Modelling Gaze Dynamics in Space and Time with Neural Temporal Point Processes


TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models


TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text Recognition


TPSNet: Reverse Thinking of Thin Plate Splines for Arbitrary Shape Scene Text Representation


TPSeNCE: Towards Artifact-Free Realistic Rain Generation for Deraining and Object Detection in Rain


TPatch: A Triggered Physical Adversarial Patch


TQA-Bench: Evaluating LLMs for Multi-Table Question Answering with Scalable Context and Symbolic Extension


TQCompressor: improving tensor decomposition methods in neural networks via permutations


TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference


TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection


TR2M: Transferring Monocular Relative Depth to Metric Depth with Language Descriptions and Scale-Oriented Contrast


TRAC: a tool for data-aware coordination (with an application to smart contracts)


TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation


TRACE-CS: A Synergistic Approach to Explainable Course Scheduling Using LLMs and Logic


TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments


TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding


TRACE: Temporal Grounding Video LLM via Causal Event Modeling


TRACE: Transformer-based Risk Assessment for Clinical Evaluation


TRACED: Transition-aware Regret Approximation with Co-learnability for Environment Design


TRACER: Extreme Attention Guided Salient Object Tracing Network


TRACT: Regression-Aware Fine-tuning Meets Chain-of-Thought Reasoning for LLM-as-a-Judge


TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision


TRADES: Generating Realistic Market Simulations with Diffusion Models


TRAFS: A Nonsmooth Convex Optimization Algorithm with $\mathcal{O}\left(\frac{1}ε\right)$ Iteration Complexity


TRAK: Attributing Model Behavior at Scale


TRAKO: Efficient Transmission of Tractography Data for Visualization


TRAM: Bridging Trust Regions and Sharpness Aware Minimization


TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos


TRAMS: Training-free Memory Selection for Long-range Language Modeling


TRANSIT your events into a new mass: Fast background interpolation for weakly-supervised anomaly searches


TRANSLATE -- A Monte Carlo Simulation of Electron Transport in Liquid Argon


TRANSOM: An Efficient Fault-Tolerant System for Training LLMs


TRANSPR: Transparency Ray-Accumulating Neural 3D Scene Point Renderer


TRAP: A Predictive Framework for Trail Running Assessment of Performance


TRAP: A temporal systematics model for improved direct detection of exoplanets at small angular separations


TRAPDOC: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents


TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction


TRAVEL: Traversable Ground and Above-Ground Object Segmentation Using Graph Representation of 3D LiDAR Scans


TRB: A Novel Triplet Representation for Understanding 2D Human Body


TRBoost: A Generic Gradient Boosting Machine based on Trust-region Method


TRCE: Towards Reliable Malicious Concept Erasure in Text-to-Image Diffusion Models


TREA: Tree-Structure Reasoning Schema for Conversational Recommendation


TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training


TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants


TREE-G: Decision Trees Contesting Graph Neural Networks


TREET: TRansfer Entropy Estimation via Transformers


TREND: Transferability based Robust ENsemble Design


TREND: Trigger-Enhanced Relation-Extraction Network for Dialogues


TRESTLE: A Model of Concept Formation in Structured Domains


TREX: Tree-Ensemble Representer-Point Explanations


TREXIO: A File Format and Library for Quantum Chemistry


TRG-Net: An Interpretable and Controllable Rain Generator


TRGP: Trust Region Gradient Projection for Continual Learning