Leveraging Expert Consistency to Improve Algorithmic Decision Support


Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition


Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks


Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare


Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology


Leveraging Foundation Models for Zero-Shot IoT Sensing


Leveraging Foundation Models via Knowledge Distillation in Multi-Object Tracking: Distilling DINOv2 Features to FairMOT


Leveraging Frequency Analysis for Deep Fake Image Recognition


Leveraging Friendship Networks for Dynamic Link Prediction in Social Interaction Networks


Leveraging Fully Observable Policies for Learning under Partial Observability


Leveraging GAN Priors for Few-Shot Part Segmentation


Leveraging GANs for citation intent classification and its impact on citation network analysis


Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training


Leveraging GPU Tensor Cores for Double Precision Euclidean Distance Calculations


Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition


Leveraging Generative AI Models for Synthetic Data Generation in Healthcare: Balancing Research and Privacy


Leveraging Generative AI for Extracting Process Models from Multimodal Documents


Leveraging Geometrical Acoustic Simulations of Spatial Room Impulse Responses for Improved Sound Event Detection and Localization


Leveraging Google's Tensor Processing Units for tsunami-risk mitigation planning in the Pacific Northwest and beyond


Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift


Leveraging Grammar Induction for Language Understanding and Generation


Leveraging Graph Structures and Large Language Models for End-to-End Synthetic Task-Oriented Dialogues


Leveraging Graph Structures to Detect Hallucinations in Large Language Models


Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression


Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation


Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning


Leveraging Hidden Positives for Unsupervised Semantic Segmentation


Leveraging Hierarchical Structures for Few-Shot Musical Instrument Recognition


Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning


Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement


Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design


Leveraging Implicit Sentiments: Enhancing Reliability and Validity in Psychological Trait Evaluation of LLMs


Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks


Leveraging Inlier Correspondences Proportion for Point Cloud Registration


Leveraging Inpainting for Single-Image Shadow Removal


Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision


Leveraging Intel SGX to Create a Nondisclosure Cryptographic library


Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces


Leveraging Interpolation Models and Error Bounds for Verifiable Scientific Machine Learning


Leveraging Intra-Period and Inter-Period Features for Enhanced Passenger Flow Prediction of Subway Stations


Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning


Leveraging Joint-Diagonalization in Transform-Learning NMF


Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training


Leveraging KANs For Enhanced Deep Koopman Operator Discovery


Leveraging Knowledge Bases And Parallel Annotations For Music Genre Translation


Leveraging Knowledge Distillation for Efficient Deep Reinforcement Learning in Resource-Constrained Environments


Leveraging Knowledge Graph-Based Human-Like Memory Systems to Solve Partially Observable Markov Decision Processes


Leveraging LLM Agents and Digital Twins for Fault Handling in Process Plants


Leveraging LLM Embeddings for Cross Dataset Label Alignment and Zero Shot Music Emotion Prediction


Leveraging LLM and Text-Queried Separation for Noise-Robust Sound Event Detection


Leveraging LLMs for Dynamic IoT Systems Generation through Mixed-Initiative Interaction


Leveraging LLMs for Hypothetical Deduction in Logical Inference: A Neuro-Symbolic Approach


Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval


Leveraging LLMs for Unsupervised Dense Retriever Ranking


Leveraging LLMs for User Stories in AI Systems: UStAI Dataset


Leveraging LLMs in Scholarly Knowledge Graph Question Answering


Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks


Leveraging Label Semantics and Meta-Label Refinement for Multi-Label Question Classification


Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification


Leveraging Labelled Data Knowledge: A Cooperative Rectification Learning Network for Semi-supervised 3D Medical Image Segmentation


Leveraging Language Foundation Models for Human Mobility Forecasting


Leveraging Language Representation for Material Recommendation, Ranking, and Exploration


Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification


Leveraging Large Language Model to Generate a Novel Metaheuristic Algorithm with CRISPE Framework


Leveraging Large Language Models and Topic Modeling for Toxicity Classification


Leveraging Large Language Models as Knowledge-Driven Agents for Reliable Retrosynthesis Planning


Leveraging Large Language Models for Active Merchant Non-player Characters


Leveraging Large Language Models for Code Translation and Software Development in Scientific Computing


Leveraging Large Language Models for Code-Mixed Data Augmentation in Sentiment Analysis


Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs


Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests


Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling


Leveraging Large Language Models for Multiple Choice Question Answering


Leveraging Large Language Models for NLG Evaluation: Advances and Challenges


Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs


Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision


Leveraging Large Language Models for Suicide Detection on Social Media with Limited Labels


Leveraging Large Language Models for enzymatic reaction prediction and characterization


Leveraging Large Language Models in Code Question Answering: Baselines and Issues


Leveraging Large Language Models to Address Data Scarcity in Machine Learning: Applications in Graphene Synthesis


Leveraging Large Language Models to Generate Answer Set Programs


Leveraging Large Language Models to Geolocate Linguistic Variations in Social Media Posts


Leveraging Laryngograph Data for Robust Voicing Detection in Speech


Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection


Leveraging Local Distributions in Mendelian Randomization: Uncertain Opinions are Invalid


Leveraging Local Patch Alignment to Seam-cutting for Large Parallax Image Stitching


Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression


Leveraging Locality in Abstractive Text Summarization


Leveraging Log Instructions in Log-based Anomaly Detection


Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning


Leveraging Machine Learning to Alleviate Hubbard Model Sign Problems


Leveraging Machine Learning to Overcome Limitations in Quantum Algorithms


Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations


Leveraging Model-based Trees as Interpretable Surrogate Models for Model Distillation


Leveraging Monolingual Data for Crosslingual Compositional Word Representations


Leveraging Multi-Temporal Sentinel 1 and 2 Satellite Data for Leaf Area Index Estimation With Deep Learning


Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional Approach


Leveraging Multi-time Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems


Leveraging Multilingual News Websites for Building a Kurdish Parallel Corpus


Leveraging Multilingual Self-Supervised Pretrained Models for Sequence-to-Sequence End-to-End Spoken Language Understanding


Leveraging Multilingual Transformers for Hate Speech Detection


Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction


Leveraging Multimodal Fusion for Enhanced Diagnosis of Multiple Retinal Diseases in Ultra-wide OCTA


Leveraging Multimodal LLM for Inspirational User Interface Search


Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers


Leveraging Natural Language Processing to Augment Structured Social Determinants of Health Data in the Electronic Health Record


Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic


Leveraging Natural Supervision for Language Representation Learning and Generation


Leveraging Network Topology in a Two-way Competition for Influence in the Friedkin-Johnsen Model


Leveraging Neural Machine Translation for Word Alignment


Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions


Leveraging Neural Radiance Field in Descriptor Synthesis for Keypoints Scene Coordinate Regression


Leveraging Node Attributes for Incomplete Relational Data


Leveraging Normalizing Flows for Orbital-Free Density Functional Theory


Leveraging Object Priors for Point Tracking


Leveraging Old Knowledge to Continually Learn New Classes in Medical Images


Leveraging Online Data to Enhance Medical Knowledge in a Small Persian Language Model


Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation


Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection


Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models


Leveraging Optimization for Adaptive Attacks on Image Watermarks


Leveraging Orientation for Weakly Supervised Object Detection with Application to Firearm Localization


Leveraging Outdoor Webcams for Local Descriptor Learning


Leveraging P90 Requirement: Flexible Resources Bidding in Nordic Ancillary Service Markets


Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures


Leveraging ParsBERT and Pretrained mT5 for Persian Abstractive Text Summarization


Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models


Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing


Leveraging Peer Review in Visualization Education: A Proposal for a New Model


Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment


Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection


Leveraging Photogrammetric Mesh Models for Aerial-Ground Feature Point Matching Toward Integrated 3D Reconstruction


Leveraging Pre-Trained Visual Transformers for Multi-Band Photometric Light Curve Classification


Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge Graphs


Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation


Leveraging Predicate and Triplet Learning for Scene Graph Generation


Leveraging Predictive Equivalence in Decision Trees


Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations


Leveraging Prior Experience: An Expandable Auxiliary Knowledge Base for Text-to-SQL


Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression


Leveraging Procedural Generation for Learning Autonomous Peg-in-Hole Assembly in Space


Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training


Leveraging Protein Language Model Embeddings for Catalytic Turnover Prediction of Adenylate Kinase Orthologs in a Low-Data Regime


Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation


Leveraging Public Data for Practical Private Query Release


Leveraging Quadratic Polynomials in Python for Advanced Data Analysis


Leveraging Quality Prediction Models for Automatic Writing Feedback


Leveraging Quantum Superposition to Infer the Dynamic Behavior of a Spatial-Temporal Neural Network Signaling Model


Leveraging RNNs and LSTMs for Synchronization Analysis in the Indian Stock Market: A Threshold-Based Classification Approach


Leveraging Reaction-aware Substructures for Retrosynthesis Analysis


Leveraging Real Electric Guitar Tones and Effects to Improve Robustness in Guitar Tablature Transcription Modeling


Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection


Leveraging Reasoning Model Answers to Enhance Non-Reasoning Model Capability


Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces


Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection


Leveraging Reward Models for Guiding Code Review Comment Generation


Leveraging SAM for Single-Source Domain Generalization in Medical Image Segmentation


Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly


Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning


Leveraging Segment Anything Model in Identifying Buildings within Refugee Camps (SAM4Refugee) from Satellite Imagery for Humanitarian Operations


Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference


Leveraging Self-supervised Audio Representations for Data-Efficient Acoustic Scene Classification


Leveraging Semantic Cues from Foundation Vision Models for Enhanced Local Feature Correspondence


Leveraging Semantic Graphs for Efficient and Robust LiDAR SLAM


Leveraging Semantic Parsing for Relation Linking over Knowledge Bases


Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild


Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration


Leveraging Shape Completion for 3D Siamese Tracking


Leveraging Shared Factor Structures for Enhanced Matrix Completion with Nonconvex Penalty Regularization


Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion


Leveraging Slither and Interval Analysis to build a Static Analysis Tool


Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs


Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation


Leveraging Sparse Linear Layers for Debuggable Deep Networks


Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition


Leveraging Speculative Sampling and KV-Cache Optimizations Together for Generative AI using OpenVINO


Leveraging Speech for Gesture Detection in Multimodal Communication


Leveraging Structural Information to Improve Point Line Visual-Inertial Odometry


Leveraging Structure for Improved Classification of Grouped Biased Data


Leveraging Structure from Motion to Localize Inaccessible Bus Stops


Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral Pathogenesis


Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning


Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs


Leveraging Swin Transformer for Local-to-Global Weakly Supervised Semantic Segmentation


Leveraging Symmetry to Accelerate Learning of Trajectory Tracking Controllers for Free-Flying Robotic Systems


Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions


Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI


Leveraging Systems and Control Theory for Social Robotics: A Model-Based Behavioral Control Approach to Human-Robot Interaction


Leveraging TCN and Transformer for effective visual-audio fusion in continuous emotion recognition


Leveraging Task Structures for Improved Identifiability in Neural Network Representations


Leveraging Temporal Contextualization for Video Action Recognition


Leveraging Temporal Information for 3D Detection and Domain Adaptation


Leveraging Text Localization for Scene Text Removal via Text-aware Masked Image Modeling


Leveraging Text and Knowledge Bases for Triple Scoring: An Ensemble Approach - The BOKCHOY Triple Scorer at WSDM Cup 2017


Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ Segmentation


Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions


Leveraging Time-Dependent Instrumental Noise for LISA SGWB Analysis


Leveraging Topological Guidance for Improved Knowledge Distillation


Leveraging Trajectory Prediction for Pedestrian Video Anomaly Detection


Leveraging Transfer Learning and Multiple Instance Learning for HER2 Automatic Scoring of H\&E Whole Slide Images


Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos


Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation


Leveraging Trust for Joint Multi-Objective and Multi-Fidelity Optimization


Leveraging Two-Phase Data for Improved Prediction of Survival Outcomes with Application to Nasopharyngeal Cancer


Leveraging Uncertainty in Collective Opinion Dynamics with Heterogeneity


Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition


Leveraging Unit Language Guidance to Advance Speech Modeling in Textless Speech-to-Speech Translation


Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning


Leveraging Unlabeled Data for Crowd Counting by Learning to Rank


Leveraging Unlabeled Data to Predict Out-of-Distribution Performance


Leveraging Unlabeled Data to Track Memorization


Leveraging Unsupervised Image Registration for Discovery of Landmark Shape Descriptor


Leveraging Unsupervised Learning to Summarize APIs Discussed in Stack Overflow


Leveraging Variational Autoencoders for Parameterized MMSE Estimation


Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks


Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification


Leveraging Vision-Language Models for Visual Grounding and Analysis of Automotive UI


Leveraging Visual Supervision for Array-based Active Speaker Detection and Localization


Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning


Leveraging Wastewater Monitoring for COVID-19 Forecasting in the US: a Deep Learning study


Leveraging Weak Cross-Modal Guidance for Coherence Modelling via Iterative Learning


Leveraging Web-Crawled Data for High-Quality Fine-Tuning


Leveraging Wikidata's edit history in knowledge graph refinement tasks


Leveraging Word Guessing Games to Assess the Intelligence of Large Language Models


Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly


Leveraging a Joint of Phenotypic and Genetic Features on Cancer Patient Subgrouping


Leveraging an Alignment Set in Tackling Instance-Dependent Label Noise


Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services


Leveraging automatic strategy discovery to teach people how to select better projects


Leveraging biased noise for more efficient quantum error correction at the circuit-level with two-level qubits


Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods


Leveraging convergence behavior to balance conflicting tasks in multi-task learning


Leveraging cough sounds to optimize chest x-ray usage in low-resource settings


Leveraging differentiable programming in the inverse problem of neutron stars


Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving


Leveraging eBPF for programmable network functions with IPv6 Segment Routing


Leveraging exploration in off-policy algorithms via normalizing flows


Leveraging generative artificial intelligence to simulate student learning behavior


Leveraging graph neural networks and mobility data for COVID-19 forecasting


Leveraging graphical model techniques to study evolution on phylogenetic networks


Leveraging image captions for selective whole slide image annotation


Leveraging joint sparsity in hierarchical Bayesian learning


Leveraging large language models for nano synthesis mechanism explanation: solid foundations or mere conjectures?


Leveraging large language models for structured information extraction from pathology reports


Leveraging multi-task learning to improve the detection of SATD and vulnerability


Leveraging power grid topology in machine learning assisted optimal power flow


Leveraging pre-trained representations to improve access to untranscribed speech from endangered languages


Leveraging recent advances in Pre-Trained Language Models forEye-Tracking Prediction


Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance


Leveraging space-based data from the nearest Solar-type star to better understand stellar activity signatures in radial velocity data


Leveraging speaker attribute information using multi task learning for speaker verification and diarization


Leveraging the Bias-Variance Tradeoff in Quantum Chemistry for Accurate Negative Singlet-Triplet Gap Predictions: A Case for Double-Hybrid DFT


Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation


Leveraging the Doppler Effect for Channel Charting


Leveraging the Graph Structure of Neural Network Training Dynamics


Leveraging the Invariant Side of Generative Zero-Shot Learning


Leveraging the Powerful Attention of a Pre-trained Diffusion Model for Exemplar-based Image Colorization


Leveraging the Template and Anchor Framework for Safe, Online Robotic Gait Design


Leveraging the Urysohn Lemma of Topology for an Enhanced Binary Classifier


Leveraging the Video-level Semantic Consistency of Event for Audio-visual Event Localization


Leveraging the two timescale regime to demonstrate convergence of neural networks


Leveraging translations for speech transcription in low-resource settings


Leveraging triplet loss for unsupervised action segmentation


Leveraging tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics


Leveraging unsupervised data and domain adaptation for deep regression in low-cost sensor calibration


Leveraging variational autoencoders for multiple data imputation


Leveraging viscous Hamilton-Jacobi PDEs for uncertainty quantification in scientific machine learning


Levi Graph AMR Parser using Heterogeneous Attention


Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments


Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains


Lex2Sent: A bagging approach to unsupervised sentiment analysis


LexBoost: Improving Lexical Document Retrieval with Nearest Neighbors


LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons


LexDrafter: Terminology Drafting for Legislative Documents using Retrieval Augmented Generation


LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models


LexGLUE: A Benchmark Dataset for Legal Language Understanding in English


LexGPT 0.1: pre-trained GPT-J models with Pile of Law


LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval


LexMatcher: Dictionary-centric Data Collection for LLM-based Machine Translation


LexNLP: Natural language processing and information extraction for legal and regulatory texts


LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation


LexSubCon: Integrating Knowledge from Lexical Resources into Contextual Embeddings for Lexical Substitution


LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in English


Lexi: Self-Supervised Learning of the UI Language


LexiMark: Robust Watermarking via Lexical Substitutions to Enhance Membership Verification of an LLM's Textual Training Data


LexiPers: An ontology based sentiment lexicon for Persian


Lexical Bundle Frequency as a Construct-Relevant Candidate Feature in Automated Scoring of L2 Academic Writing


Lexical Entrainment for Conversational Systems


Lexical Generalization Improves with Larger Models and Longer Training


Lexical Knowledge Internalization for Neural Dialog Generation


Lexical Query Modeling in Session Search


Lexical Sememe Prediction using Dictionary Definitions by Capturing Local Semantic Correspondence


Lexical Simplification Benchmarks for English, Portuguese, and Spanish


Lexical Squad@Multimodal Hate Speech Event Detection 2023: Multimodal Hate Speech Detection using Fused Ensemble Approach


Lexicalization Is All You Need: Examining the Impact of Lexical Knowledge in a Compositional QALD System


Lexically Constrained Neural Machine Translation with Levenshtein Transformer


Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries


Lexicographic Enumeration of Set Partitions


Lexicographic Multi-Objective Reinforcement Learning


Lexicon Enhanced Chinese Sequence Labeling Using BERT Adapter


Lexicon and Rule-based Word Lemmatization Approach for the Somali Language


Lhotse: a speech data representation library for the modern deep learning ecosystem


LiBOG: Lifelong Learning for Black-Box Optimizer Generation


LiCS: Navigation using Learned-imitation on Cluttered Space


LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation


LiDAR Aided Future Beam Prediction in Real-World Millimeter Wave V2I Communications


LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models


LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection


LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention Networks


LiDAR R-CNN: An Efficient and Universal 3D Object Detector


LiDAR Road-Atlas: An Efficient Map Representation for General 3D Urban Environment


LiDAR Snowfall Simulation for Robust 3D Object Detection


LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels


LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation


LiDAR-Based Crop Row Detection Algorithm for Over-Canopy Autonomous Navigation in Agriculture Fields


LiDAR-Based Place Recognition For Autonomous Driving: A Survey


LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection


LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment


LiDAR-Event Stereo Fusion with Hallucinations


LiDAR-Generated Images Derived Keypoints Assisted Point Cloud Registration Scheme in Odometry Estimation


LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image Classification


LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields


LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection


LiDAR-based 4D Occupancy Completion and Forecasting


LiDAR-based Object Detection with Real-time Voice Specifications


LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention


LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation


LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis


LiDARTag: A Real-Time Fiducial Tag System for Point Clouds


LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR


LiDAttack: Robust Black-box Attack on LiDAR-based Object Detection


LiFT: Lightweight, FPGA-tailored 3D object detection based on LiDAR data


LiLIS: Enhancing Big Spatial Data Processing with Lightweight Distributed Learned Index


LiLO: Lightweight and low-bias LiDAR Odometry method based on spherical range image filtering


LiLoc: Lifelong Localization using Adaptive Submap Joining and Egocentric Factor Graph


LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration


LiMo-Calib: On-Site Fast LiDAR-Motor Calibration for Quadruped Robot-Based Panoramic 3D Sensing System


LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes


LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging


LiODOM: Adaptive Local Mapping for Robust LiDAR-Only Odometry


LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial Training


LiPCoT: Linear Predictive Coding based Tokenizer for Self-supervised Learning of Time Series Data via Language Models


LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection


LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance


LiRaFusion: Deep Adaptive LiDAR-Radar Fusion for 3D Object Detection


LiSA: Leveraging Link Recommender to Attack Graph Neural Networks via Subgraph Injection


LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot Learners


LiSenNet: Lightweight Sub-band and Dual-Path Modeling for Real-Time Speech Enhancement


LiSnowNet: Real-time Snow Removal for LiDAR Point Cloud


LiTEx: A Linguistic Taxonomy of Explanations for Understanding Within-Label Variation in Natural Language Inference


LiTelFuzz : Swarms Fuzzing Based on Linear Temporal Logic Constraints


LiTransProQA: an LLM-based Literary Translation evaluation metric with Professional Question Answering


LiVOS: Light Video Object Segmentation with Gated Linear Matching


Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language Models


LibAM: An Area Matching Framework for Detecting Third-party Libraries in Binaries


LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction


LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries


LibFewShot: A Comprehensive Library for Few-shot Learning


LibIQ: Toward Real-Time Spectrum Classification in O-RAN dApps


LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch


LibOPT: An Open-Source Platform for Fast Prototyping Soft Optimization Techniques


LibSignal: An Open Library for Traffic Signal Control


Libertas: Privacy-Preserving Collective Computation for Decentralised Personal Data Stores


Libfork: portable continuation-stealing with stackless coroutines


Libra: Building Decoupled Vision System on Large Language Models


Libra: High-Utility Anonymization of Event Logs for Process Mining via Subsampling


LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions


Library Learning Doesn't: The Curious Case of the Single-Use "Library"


Library of efficient algorithms for phylogenetic analysis


Library transfer between distinct Laser-Induced Breakdown Spectroscopy systems with shared standards


LibreFace: An Open-Source Toolkit for Deep Facial Expression Analysis


LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language Models


Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation


Libri-Light: A Benchmark for ASR with Limited or No Supervision


Libri-adhoc40: A dataset collected from synchronized ad-hoc microphone arrays


LibriTTS-P: A Corpus with Speaking Style and Speaker Identity Prompts for Text-to-Speech and Style Captioning


LibriWASN: A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous Recording Devices


Libriheavy: a 50,000 hours ASR corpus with punctuation casing and context


Librispeech Transducer Model with Internal Language Model Prior Correction


Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection


Lidar Panoptic Segmentation and Tracking without Bells and Whistles


Lidar Panoptic Segmentation in an Open World


Lidar Point Cloud Guided Monocular 3D Object Detection


Lidar with Velocity: Correcting Moving Objects Point Cloud Distortion from Oscillating Scanning Lidars by Fusion with Camera


Lidar-Camera Co-Training for Semi-Supervised Road Detection


LidarCLIP or: How I Learned to Talk to Point Clouds


LidarDM: Generative LiDAR Simulation in a Generated World


Lie Group Decompositions for Equivariant Neural Networks


Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems


Lie Point Symmetry Data Augmentation for Neural PDE Solvers


Lie Symmetry Net: Preserving Conservation Laws in Modelling Financial Market Dynamics via Differential Equations


Lie Theory Based Optimization for Unified State Planning of Mobile Manipulators


Lie-Equivariant Quantum Graph Neural Networks


Lie-algebraic classical simulations for quantum computing


LieGG: Studying Learned Lie Group Generators


LieRE: Generalizing Rotary Position Encodings


Liesel: A Probabilistic Programming Framework for Developing Semi-Parametric Regression Models and Custom Bayesian Inference Algorithms


Life after BERT: What do Other Muppets Understand about Language?


LifeGPT: Topology-Agnostic Generative Pretrained Transformer Model for Cellular Automata


LifeLonger: A Benchmark for Continual Disease Classification


LifeStream: A High-Performance Stream Processing Engine for Periodic Streams


Lifelong 3D Object Recognition and Grasp Synthesis Using Dual Memory Recurrent Self-Organization Networks


Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights


Lifelong Control of Off-grid Microgrid with Model Based Reinforcement Learning


Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs


Lifelong Graph Learning for Graph Summarization


Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal


Lifelong Incremental Reinforcement Learning with Online Bayesian Inference


Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process


Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing


Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning


Lifelong Knowledge Editing requires Better Regularization


Lifelong Language Knowledge Distillation


Lifelong Learning of Compositional Structures


Lifelong Learning of Large Language Model based Agents: A Roadmap


Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization


Lifelong Learning with Searchable Extension Units


Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis


Lifelong Mixture of Variational Autoencoders


Lifelong Multi-Agent Path Finding in Large-Scale Warehouses


Lifelong Person Re-Identification via Adaptive Knowledge Accumulation


Lifelong Person Re-Identification via Knowledge Refreshing and Consolidation


Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market


Lifelong Reinforcement Learning with Modulating Masks


Lifelong Safety Alignment for Language Models


Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction


Lifelong Teacher-Student Network Learning


Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay


Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation


LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners


LifelongMemory: Leveraging LLMs for Answering Queries in Long-form Egocentric Videos


LifelongPR: Lifelong knowledge fusion for point cloud place recognition based on replay and prompt learning


Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D


LiftFeat: 3D Geometry-Aware Local Feature Matching


LiftReg: Limited Angle 2D/3D Deformable Registration


Lifted Algorithms for Symmetric Weighted First-Order Model Sampling


Lifted Causal Inference in Relational Domains


Lifted Disjoint Paths with Application in Multiple Object Tracking


Lifted Inference beyond First-Order Logic


Lifted Model Construction without Normalisation: A Vectorised Approach to Exploit Symmetries in Factor Graphs


Lifting 2D Object Locations to 3D by Discounting LiDAR Outliers across Objects and Views


Lifting 2D StyleGAN for 3D-Aware Face Generation


Lifting Architectural Constraints of Injective Flows


Lifting C Semantics for Dataflow Optimization


Lifting Directional Fields to Minimal Sections


Lifting Factor Graphs with Some Unknown Factors


Lifting Factor Graphs with Some Unknown Factors for New Individuals


Lifting Monocular Events to 3D Human Poses


Lifting Multi-View Detection and Tracking to the Bird's Eye View


Lifting Network Protocol Implementation to Precise Format Specification with Security Applications


Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the Wild


Lifting Weak Supervision To Structured Prediction


Lifting a sessile oil drop from a superamphiphobic surface with an impacting one


Lifting methods for manifold-valued variational problems


Lifting the Curse of Capacity Gap in Distilling Language Models


Lifting the Veil on Visual Information Flow in MLLMs: Unlocking Pathways to Faster Inference


Lifting topological codes: Three-dimensional subsystem codes from two-dimensional anyon models


Lifting-based variational multiclass segmentation algorithm: design, convergence analysis, and implementation with applications in medical imaging


Liger Kernel: Efficient Triton Kernels for LLM Training


Liger: Linearizing Large Language Models to Gated Recurrent Structures


LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion


Light Aircraft Game : Basic Implementation and training results analysis


Light Coreference Resolution for Russian with Hierarchical Discourse Features


Light Dark Matter Accumulating in Planets: Nuclear Scattering


Light Field Compression by Residual CNN Assisted JPEG


Light Field Depth Estimation via Stitched Epipolar Plane Images


Light Field Image Super-Resolution Using Deformable Convolution


Light Field Image Super-Resolution with Transformers


Light Field Reconstruction Using Convolutional Network on EPI and Extended Applications


Light Field Saliency Detection with Dual Local Graph Learning andReciprocative Guidance


Light Field Salient Object Detection: A Review and Benchmark


Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization


Light Field Video Capture Using a Learning-Based Hybrid Imaging System


Light Higgsinos for electroweak naturalness in mirage-mediated high-scale supersymmetry


Light Sampling Field and BRDF Representation for Physically-based Neural Rendering


Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D Volumes


Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models


Light and Optimal Schrödinger Bridge Matching


Light curve fingerprints: an automated approach to the extraction of X-ray variability patterns with feature aggregation -- an example application to GRS 1915+105


Light rings and causality for nonsingular ultracompact objects sourced by nonlinear electrodynamics


Light-A-Video: Training-free Video Relighting via Progressive Light Fusion


Light-LOAM: A Lightweight LiDAR Odometry and Mapping based on Graph-Matching


Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning


Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond


Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition


Light-T2M: A Lightweight and Fast Model for Text-to-motion Generation


Light-VQA+: A Video Quality Assessment Model for Exposure Correction with Vision-Language Guidance


Light-VQA: A Multi-Dimensional Quality Assessment Model for Low-Light Video Enhancement


Light-Weight RetinaNet for Object Detection


Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation


Light-weight Deep Extreme Multilabel Classification


Light-weight Deformable Registration using Adversarial Learning with Distilling Knowledge


Light-weight Document Image Cleanup using Perceptual Loss


Light-weight Retinal Layer Segmentation with Global Reasoning


Light-weight place recognition and loop detection using road markings


Light-weight probing of unsupervised representations for Reinforcement Learning


Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound


LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field


LightCode: Light Analytical and Neural Codes for Channels with Feedback


LightDepth: A Resource Efficient Depth Estimation Approach for Dealing with Ground Truth Sparsity via Curriculum Learning


LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning


LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving


LightEndoStereo: A Real-time Lightweight Stereo Matching Method for Endoscopy Images


LightFC-X: Lightweight Convolutional Tracker for RGB-X Tracking


LightFF: Lightweight Inference for Forward-Forward Algorithm


LightFormer: An End-to-End Model for Intersection Right-of-Way Recognition Using Traffic Light Signals and an Attention Mechanism


LightFuse: Lightweight CNN based Dual-exposure Fusion


LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation


LightGNN: Simple Graph Neural Network for Recommendation


LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS


LightGlue: Local Feature Matching at Light Speed


LightHouse: A Survey of AGI Hallucination


LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT


LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture


LightLM: A Lightweight Deep and Narrow Language Model for Generative Recommendation


LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification


LightLoc: Learning Outdoor LiDAR Localization at Light Speed


LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation


LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising


LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting


LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning


LightPath: Lightweight and Scalable Path Representation Learning


LightPlanner: Unleashing the Reasoning Capabilities of Lightweight Large Language Models in Task Planning


LightRAG: Simple and Fast Retrieval-Augmented Generation


LightRW: FPGA Accelerated Graph Dynamic Random Walks


LightRetriever: A LLM-based Hybrid Retrieval Architecture with 1000x Faster Query Inference


LightRidge: An End-to-end Agile Design Framework for Diffractive Optical Neural Networks


LightSNN: Lightweight Architecture Search for Sparse and Accurate Spiking Neural Networks


LightSys: Lightweight and Efficient CI System for Improving Integration Speed of Software


LightTR: A Lightweight Framework for Federated Trajectory Recovery


LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version


LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking


LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search


LightViT: Towards Light-Weight Convolution-Free Vision Transformers


LightViz: Autonomous Light-field Surveying and Mapping for Distributed Light Pollution Monitoring


LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification


LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification


Lightcone Bounds for Quantum Circuit Mapping via Uncomplexity


Lighten CARAFE: Dynamic Lightweight Upsampling with Guided Reassemble Kernels


LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models


Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal Transport


Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination


Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis


Lighting and Rotation Invariant Real-time Vehicle Wheel Detector based on YOLOv5


Lighting up NeRF via Unsupervised Decomposition and Enhancement


Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation


Lightning IR: Straightforward Fine-tuning and Inference of Transformer-based Language Models for Information Retrieval


Lightning activity on a tidally locked terrestrial exoplanet in storm-resolving simulations for a range of surface pressures


Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models


Lightning-fast adaptive immune receptor similarity search by symmetric deletion lookup


Lightning: Scaling the GPU Programming Model Beyond a Single GPU


LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval


LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos


Lightplane: Highly-Scalable Components for Neural 3D Fields


Lights, Camera, Action! A Framework to Improve NLP Accuracy over OCR documents


Lightspeed Geometric Dataset Distance via Sliced Optimal Transport


Lightweight Adaptation of Neural Language Models via Subspace Embedding


Lightweight Adapter Tuning for Multilingual Speech Translation


Lightweight Alpha Matting Network Using Distillation-Based Channel Pruning


Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval


Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer


Lightweight Collaborative Anomaly Detection for the IoT using Blockchain


Lightweight Combinational Machine Learning Algorithm for Sorting Canine Torso Radiographs


Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift


Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence


Lightweight Correlation-Aware Table Compression


Lightweight Cross-Lingual Sentence Representation Learning


Lightweight Cross-Modal Representation Learning


Lightweight Cryptanalysis of IoT Encryption Algorithms : Is Quota Sampling the Answer?


Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty


Lightweight Deep Learning Based Channel Estimation for Extremely Large-Scale Massive MIMO Systems


Lightweight Deep Learning Framework for Accurate Particle Flow Energy Reconstruction


Lightweight Defense Against Adversarial Attacks in Time Series Classification


Lightweight Diffusion Models for Resource-Constrained Semantic Communication


Lightweight Embeddings for Graph Collaborative Filtering


Lightweight Event-based Optical Flow Estimation via Iterative Deblurring


Lightweight Facial Attractiveness Prediction Using Dual Label Distribution


Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation


Lightweight Full-Convolutional Siamese Tracker


Lightweight G-YOLOv11: Advancing Efficient Fracture Detection in Pediatric Wrist X-rays


Lightweight High-Speed Photography Built on Coded Exposure and Implicit Neural Representation of Videos


Lightweight Image Inpainting by Stripe Window Transformer with Joint Attention to CNN


Lightweight Implementation of Per-packet Service Protection in eBPF/XDP


Lightweight Improved Residual Network for Efficient Inverse Tone Mapping


Lightweight Learner for Shared Knowledge Lifelong Learning


Lightweight LiDAR-Camera 3D Dynamic Object Detection and Multi-Class Trajectory Prediction


Lightweight Model Pre-training via Language Guided Knowledge Distillation


Lightweight Models for Emotional Analysis in Video


Lightweight Modules for Efficient Deep Learning based Image Restoration


Lightweight Monocular Depth Estimation through Guided Decoding


Lightweight Multi-Branch Network for Person Re-Identification


Lightweight Multi-Drone Detection and 3D-Localization via YOLO


Lightweight Multi-System Multivariate Interconnection and Divergence Discovery


Lightweight Neural Architecture Search for Cerebral Palsy Detection


Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge


Lightweight Online Learning for Sets of Related Problems in Automated Reasoning


Lightweight Photometric Stereo for Facial Details Recovery


Lightweight Predictive 3D Gaussian Splats


Lightweight Protocols for Distributed Private Quantile Estimation


Lightweight Real-time Semantic Segmentation Network with Efficient Transformer and CNN


Lightweight Robust Size Aware Cache Management


Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation


Lightweight Salient Object Detection in Optical Remote-Sensing Images via Semantic Matching and Edge Alignment


Lightweight Selective Disclosure for Verifiable Documents on Blockchain


Lightweight Self-Knowledge Distillation with Multi-source Information Fusion


Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning


Lightweight Speaker Verification for Online Identification of New Speakers with Short Segments


Lightweight Stepless Super-Resolution of Remote Sensing Images via Saliency-Aware Dynamic Routing Strategy


Lightweight Super-Resolution Head for Human Pose Estimation


Lightweight Temporal Self-Attention for Classifying Satellite Image Time Series


Lightweight Transducer Based on Frame-Level Criterion


Lightweight Transformer via Unrolling of Mixed Graph Algorithms for Traffic Forecast


Lightweight Transformers for Clinical Natural Language Processing


Lightweight Transformers for Human Activity Recognition on Mobile Devices


Lightweight Unsupervised Deep Loop Closure


Lightweight Vision Transformer with Bidirectional Interaction


Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks


Lightweight and High-Fidelity End-to-End Text-to-Speech with Multi-Band Generation and Inverse Short-Time Fourier Transform


Lightweight and Interpretable Left Ventricular Ejection Fraction Estimation using Mobile U-Net


Lightweight and Progressively-Scalable Networks for Semantic Segmentation


Lightweight and Resilient Signatures for Cloud-Assisted Embedded IoT Systems


Lightweight and Robust Representation of Economic Scales from Satellite Imagery


Lightweight and Scalable Particle Tracking and Motion Clustering of 3D Cell Trajectories


Lightweight and Unobtrusive Data Obfuscation at IoT Edge for Remote Inference


Lightweight equivariant model for efficient machine learning interatomic potentials


Lightweight image super-resolution with enhanced CNN


Lightweight integration of 3D features to improve 2D image segmentation


Lightweight representation learning for efficient and scalable recommendation


Lightweight starshade position sensing with convolutional neural networks and simulation-based inference


Lightweight super resolution network for point cloud geometry compression


Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation


Lightweight yet Fine-grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-account Sequential Recommendation


Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation


Lightweight, Pre-trained Transformers for Remote Sensing Timeseries


Lightweight-Yet-Efficient: Revitalizing Ball-Tree for Point-to-Hyperplane Nearest Neighbor Search


Like a Good Nearest Neighbor: Practical Content Moderation and Text Classification


Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions


Likelihood Based Inference for ARMA Models


Likelihood Based Inference in Fully and Partially Observed Exponential Family Graphical Models with Intractable Normalizing Constants


Likelihood Models for Forensic Genealogy


Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection In Task Oriented Dialog


Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps


Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory


Likelihood as a Performance Gauge for Retrieval-Augmented Generation


Likelihood ratio map for direct exoplanet detection


Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection


Likelihood-Based Diffusion Language Models


Likelihood-Based Diverse Sampling for Trajectory Forecasting


Likelihood-Based Text-to-Image Evaluation with Patch-Level Perceptual and Semantic Credit Assignment


Likelihood-Free Inference with Deep Gaussian Processes


Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization


Likelihood-Free Overcomplete ICA and Applications in Causal Discovery


Likelihood-Free Parameter Estimation with Neural Bayes Estimators


Likelihood-based Missing Data Analysis in Crossover Trials


Likelihood-based Mitigation of Evaluation Bias in Large Language Models


Likelihood-based generalization of Markov parameter estimation and multiple shooting objectives in system identification


Likelihood-based inference for partially observed stochastic epidemics with individual heterogeneity


Likelihood-based inference, identifiability and prediction using count data from lattice-based random walk models


Likelihood-based non-Markovian models from molecular dynamics


Likelihood-free Inference with Mixture Density Network


Likelihood-free stochastic approximation EM for inference in complex models


Likelihood-ratio-based confidence intervals for neural networks


Lil-Bevo: Explorations of Strategies for Training Language Models in More Humanlike Ways


LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification


Lila: A Unified Benchmark for Mathematical Reasoning


LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios


Lily Pad: Towards Real-time Interactive Computational Fluid Dynamics


Lily-like twist distribution in toroidal nematics


LimGen: Probing the LLMs for Generating Suggestive Limitations of Research Papers


LimTopic: LLM-based Topic Modeling and Text Summarization for Analyzing Scientific Articles limitations


Limb-Aware Virtual Try-On Network with Progressive Clothing Warping


Limb-darkening and exoplanets II: Choosing the Best Law for Optimal Retrieval of Transit Parameters


LimberJack.jl: auto-differentiable methods for angular power spectra analyses


Limeade: Let integer molecular encoding aid


Limit cycles in mass-conserving deficiency-one mass-action systems


Limit shape for infinite rank limit of tensor power decomposition for Lie algebras of series so(2n+1)


Limit theorems of Chatterjee's rank correlation


LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks


Limitations in odour recognition and generalisation in a neuromorphic olfactory circuit


Limitations of Post-Hoc Feature Alignment for Robustness


Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis


Limitations of tensor network approaches for optimization and sampling: A comparison to quantum and classical Ising machines


Limitations of the Empirical Fisher Approximation for Natural Gradient Descent


Limitations of weak labels for embedding and tagging


Limited Ability of LLMs to Simulate Human Psychological Behaviours: a Psychometric Analysis


Limited Evaluation Evolutionary Optimization of Large Neural Networks


Limited Voting for Better Representation?


Limited individual attention and online virality of low-quality information


Limited memory gradient methods for unconstrained optimization


Limited-Angle Tomography Reconstruction via Deep End-To-End Learning on Synthetic Data


Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine


Limiting Over-Smoothing and Over-Squashing of Graph Message Passing by Deep Scattering Transforms


Limiting Spectral Distribution of High-dimensional Hayashi-Yoshida Estimator of Integrated Covariance Matrix


Limiting distributions of conjugate algebraic integers


Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training


Limits from the grave: resurrecting Hitomi for decaying dark matter and forecasting leading sensitivity for XRISM


Limits of Individual Consent and Models of Distributed Consent in Online Social Networks


Limits of Large Language Models in Debating Humans


Limits of Multilayer Diffusion Network Inference in Social Media Research


Limits of Transformer Language Models on Learning to Compose Algorithms


Limits on the Ejecta Mass During the Search for Kilonovae Associated with Neutron Star-Black Hole Mergers: A case study of S230518h, GW230529, S230627c and the Low-Significance Candidate S240422ed


Limits to Predicting Online Speech Using Large Language Models


LinApart: optimizing the univariate partial fraction decomposition


LinCDE: Conditional Density Estimation via Lindsey's Method


LinCQA: Faster Consistent Query Answering with Linear Time Guarantees


LinGBM: A Performance Benchmark for Approaches to Build GraphQL Servers (Extended Version)


LinK: Linear Kernel for LiDAR-based 3D Perception


LinReTraCe: The Linear Response Transport Centre


LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems


LinVT: Empower Your Image-level Large Language Model to Understand Videos


Lindblad Tomography of a Superconducting Quantum Processor


Line Drawing Guided Progressive Inpainting of Mural Damage


Line Graph Contrastive Learning for Link Prediction


Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning


Line Graphics Digitization: A Step Towards Full Automation


Line Harp: Importance-Driven Sonification for Dense Line Charts


Line Segment Detection Using Transformers without Edges


Line as a Visual Sentence: Context-aware Line Descriptor for Visual Localization


Line bundle cohomologies on CICYs with Picard number two


Line of Duty: Evaluating LLM Self-Knowledge via Consistency in Feasibility Boundaries


Line-Circle-Square (LCS): A Multilayered Geometric Filter for Edge-Based Detection


Line-based 6-DoF Object Pose Estimation and Tracking With an Event Camera


Line-graph qubit routing: from kagome to heavy-hex and more


Line-of-sight effects in strong gravitational lensing


LineCounter: Learning Handwritten Text Line Segmentation by Counting


LineFlow: A Framework to Learn Active Control of Production Lines


LineFormer: Rethinking Line Chart Data Extraction as Instance Segmentation


LineGS : 3D Line Segment Representation on 3D Gaussian Splatting


LineSmooth: An Analytical Framework for Evaluating the Effectiveness of Smoothing Techniques on Line Charts


LineVD: Statement-level Vulnerability Detection using Graph Neural Networks


LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction


Linear ADRC is equivalent to PID with set-point weighting and measurement filter


Linear Aggregation in Tree-based Estimators


Linear Algorithms for Robust and Scalable Nonparametric Multiclass Probability Estimation


Linear Alignment of Vision-language Models for Image Captioning


Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback


Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation


Linear Attention is Enough in Spatial-Temporal Forecasting


Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics


Linear Battery Models for Power Systems Analysis


Linear Causal Bandits: Unknown Graph and Soft Interventions


Linear Causal Disentanglement via Interventions


Linear Causal Representation Learning from Unknown Multi-node Interventions


Linear Classifier: An Often-Forgotten Baseline for Text Classification


Linear Classifiers in Product Space Forms


Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better


Linear Combinations of Patches are Unreasonably Effective for Single-Image Denoising


Linear Contextual Bandits with Hybrid Payoff: Revisited


Linear Control of Test Awareness Reveals Differential Compliance in Reasoning Models


Linear Convergence of Plug-and-Play Algorithms with Kernel Denoisers


Linear Convergence of a Proximal Alternating Minimization Method with Extrapolation for $\ell_1$-Norm Principal Component Analysis


Linear Convergence of the Subspace Constrained Mean Shift Algorithm: From Euclidean to Directional Data


Linear Correlation in LM's Compositional Generalization and Hallucination


Linear Dimensionality Reduction: Survey, Insights, and Generalizations


Linear Disentangled Representation Learning for Facial Actions


Linear Dynamics: Clustering without identification


Linear Embedding-based High-dimensional Batch Bayesian Optimization without Reconstruction Mappings


Linear Encodings for Polytope Containment Problems


Linear Explanations for Individual Neurons


Linear Gaussian Bounding Box Representation and Ring-Shaped Rotated Convolution for Oriented Object Detection


Linear Item-Item Model with Neural Knowledge for Session-based Recommendation


Linear Jacobi-Legendre expansion of the charge density for machine learning-accelerated electronic structure calculations


Linear Last-iterate Convergence in Constrained Saddle-point Optimization


Linear Latent World Models in Simple Transformers: A Case Study on Othello-GPT


Linear Log-Normal Attention with Unbiased Concentration


Linear Magnetoresistance from Glassy Orders


Linear Maximum Margin Classifier for Learning from Uncertain Data


Linear Mode Connectivity in Multitask and Continual Learning


Linear Model Predictive Control under Continuous Path Constraints via Parallelized Primal-Dual Hybrid Gradient Algorithm


Linear Optimal Partial Transport Embedding


Linear Partial Gromov-Wasserstein Embedding


Linear Periodically Time-Variant Digital PLL Phase Noise Modeling Using Conversion Matrices and Uncorrelated Upsampling


Linear Precoding with Low-Resolution DACs for Massive MU-MIMO-OFDM Downlink


Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait


Linear Program Reconstruction in Practice


Linear Programming Fictitious Play algorithm for Mean Field Games with optimal stopping and absorption


Linear Recurrent Units for Sequential Recommendation


Linear Recursive Feature Machines provably recover low-rank matrices


Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions


Linear Regression from Strategic Data Sources


Linear Regression without Correspondences via Concave Minimization


Linear Representations of Political Perspective Emerge in Large Language Models


Linear Representations of Sentiment in Large Language Models


Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes


Linear Response Theory for Renewable Fluctuations in Power Grids with Transmission Losses


Linear Response Theory of Evolved Metabolic Systems


Linear Reweighted Regularization Algorithms for Graph Matching Problem


Linear Search with Probabilistic Detection and Variable Speeds


Linear Semantics in Generative Adversarial Networks


Linear Simple Cycle Reservoirs at the edge of stability perform Fourier decomposition of the input driving signals


Linear Speedup in Personalized Collaborative Learning


Linear Support Vector Regression with Linear Constraints


Linear System Identification Under Multiplicative Noise from Multiple Trajectory Data


Linear Time Runs over General Ordered Alphabets


Linear Time Sinkhorn Divergences using Positive Features


Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting


Linear Transformers with Learnable Kernel Functions are Better In-Context Models


Linear Variational State-Space Filtering


Linear and Quadratic Discriminant Analysis: Tutorial


Linear and Rational Factorization of Tropical Polynomials


Linear and Second-order-cone Valid Inequalities for Problems with Storage


Linear and nonlinear solvers for variational phase-field models of brittle fracture


Linear combinations of latents in generative models: subspaces and beyond


Linear confinement in the partially-deconfined phase


Linear convective stability of a front superposition with unstable connecting state


Linear convergence in time-varying generalized Nash equilibrium problems


Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals


Linear energy storage and flexibility model with ramp rate, ramping, deadline and capacity constraints


Linear feature detection algorithm for astronomical surveys - I. Algorithm description


Linear instability of hairy black holes in Horndeski theory


Linear layout of multiple flow-direction networks for landscape-evolution simulations


Linear matter density perturbations in the $Λ_{\rm s}$CDM model: Examining growth dynamics and addressing the $S_8$ tension


Linear mixed modelling of federated data when only the mean, covariance, and sample size are available


Linear mixed models for complex survey data: implementing and evaluating pairwise likelihood


Linear predictor on linearly-generated data with missing values: non consistency and solutions


Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control


Linear programming with unitary-equivariant constraints


Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method


Linear quadratic regulation control for falling liquid films


Linear system of hypersurfaces passing through a Galois orbit


Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers


Linear wave solutions of a stochastic shallow water model


Linear-Cost Vecchia Approximation of Multivariate Normal Probabilities


Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation


Linear-Quadratic Dynamic Games as Receding-Horizon Variational Inequalities


Linear-Time Graph Neural Networks for Scalable Recommendations


Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs


Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation


Linear-Time Sequence Comparison Using Minimal Absent Words & Applications


Linear-Time--Branching-Time Spectroscopy Accounting for Silent Steps


Linear-cost unbiased posterior estimates for crossed effects and matrix factorization models via couplings


Linear-time Minimum Bayes Risk Decoding with Reference Aggregation


Linear-time One-Class Classification with Repeated Element-wise Folding


Linear-time Temporal Logic guided Greybox Fuzzing


LinearAlifold: Linear-Time Consensus Structure Prediction for RNA Alignments


LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search


Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness


Linearized Localized Orthogonal Decomposition for Quasilinear Nonmonotone Elliptic PDE


Linearized Multi-Sampling for Differentiable Image Transformation


Linearly Converging Error Compensated SGD


Linearly Mapping from Image to Text Space


Linearly Self-Equivalent APN Permutations in Small Dimension


Linearly convergent bilevel optimization with single-step inner methods


Lineax: unified linear solves and linear least-squares in JAX and Equinox


Ling-CL: Understanding NLP Models through Linguistic Curricula


LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution


LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs


Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement


LingoQA: Visual Question Answering for Autonomous Driving


Linguini: A benchmark for language-agnostic linguistic reasoning


Linguistic Analysis, Description, and Typological Exploration with Categorial Grammar (TheBench Guide)


Linguistic Dependencies and Statistical Dependence


Linguistic Features Extracted by GPT-4 Improve Alzheimer's Disease Detection based on Spontaneous Speech


Linguistic Features for Readability Assessment


Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling


Linguistic Generalizability of Test-Time Scaling in Mathematical Reasoning


Linguistic Interpretability of Transformer-based Language Models: a systematic review


Linguistic Knowledge Can Enhance Encoder-Decoder Models (If You Let It)


Linguistic Laws Meet Protein Sequences: A Comparative Analysis of Subword Tokenization Methods


Linguistic Minimal Pairs Elicit Linguistic Similarity in Large Language Models


Linguistic More: Taking a Further Step toward Efficient and Accurate Scene Text Recognition


Linguistic Profiling of Deepfakes: An Open Database for Next-Generation Deepfake Detection


Linguistic Structure Guided Context Modeling for Referring Image Segmentation


Linguistic Structures as Weak Supervision for Visual Scene Graph Generation


Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs


Linguistic and Gender Variation in Speech Emotion Recognition using Spectral Features


Linguistic-style-aware Neural Networks for Fake News Detection


Linguistically Conditioned Semantic Textual Similarity


Linguistically Informed Masking for Representation Learning in the Patent Domain


Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019


Linguistically Motivated Sign Language Segmentation


Linguistically-Informed Multilingual Instruction Tuning: Is There an Optimal Set of Languages to Tune?


Linguistically-Informed Self-Attention for Semantic Role Labeling


Linguistics Theory Meets LLM: Code-Switched Text Generation via Equivalence Constrained Large Language Models


Linguistics from a topological viewpoint


Linguistics-aware Masked Image Modeling for Self-supervised Scene Text Recognition


Link Analysis meets Ontologies: Are Embeddings the Answer?


Link Climate: An Interoperable Knowledge Graph Platform for Climate Data


Link Partitioning on Simplicial Complexes Using Higher-Order Laplacians


Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance


Link Prediction Based on Graph Neural Networks


Link Prediction and Navigability of Multiplex Energy Networks


Link Prediction for Flow-Driven Spatial Networks


Link Prediction for Wikipedia Articles as a Natural Language Inference Task


Link Prediction in Networks with Core-Fringe Data


Link Prediction of Artificial Intelligence Concepts using Low Computational Power


Link Prediction on N-ary Relational Data Based on Relatedness Evaluation


Link Prediction on N-ary Relational Facts: A Graph-based Approach


Link Prediction via Higher-Order Motif Features


Link Prediction with Non-Contrastive Learning


Link Prediction without Graph Neural Networks


Link Representation Learning for Probabilistic Travel Time Estimation


Link Stealing Attacks Against Inductive Graph Neural Networks


Link persistence and conditional distances in multiplex networks


Link updating strategies influence consensus decisions as a function of the direction of communication


Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval


Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection


Link-Context Learning for Multimodal LLMs


Link-aware link prediction over temporal graph by pattern recognition


Link-level simulator for 5G localization


LinkAlign: Scalable Schema Linking for Real-World Large-Scale Multi-Database Text-to-SQL


LinkBERT: Pretraining Language Models with Document Links


LinkGPT: Teaching Large Language Models To Predict Missing Links


LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph Predictions


LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty


LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-Answering


LinkTransformer: A Unified Package for Record Linkage with Transformer Language Models


Linkage Based Face Clustering via Graph Convolution Network


Linked Array Tree: A Constant-Time Search Structure for Big Data


Linked Credibility Reviews for Explainable Misinformation Detection


Linked Crunchbase: A Linked Data API and RDF Data Set About Innovative Companies


Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features


Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph


Linked partition ideals and the Alladi--Schur theorem


Linked shrinkage to improve estimation of interaction effects in regression models


Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data


Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach


Linking Datasets on Organizations Using Half A Billion Open-Collaborated Records


Linking Emergent and Natural Languages via Corpus Transfer


Linking Extragalactic Transients and their Host Galaxy Properties: Transient Sample, Multi-Wavelength Host Identification, and Database Construction


Linking Health News to Research Literature


Linking In-context Learning in Transformers to Human Episodic Memory


Linking Machine Learning with Multiscale Numerics: Data-Driven Discovery of Homogenized Equations


Linking Named Entities in Diderot's \textit{Encyclopédie} to Wikidata


Linking Potentially Misclassified Healthy Food Access to Diabetes Prevalence


Linking Social Media Posts to News with Siamese Transformers


Linking Surface Facts to Large-Scale Knowledge Graphs


Linking Theories and Methods in Cognitive Sciences via Joint Embedding of the Scientific Literature: The Example of Cognitive Control


Linking connectivity, dynamics and computations in low-rank recurrent neural networks


Linking emotions to behaviors through deep transfer learning


Linking in Style: Understanding learned features in deep learning models


Linking statistical and ecological theory: Hubbell's unified neutral theory of biodiversity as a hierarchical Dirichlet process


Linking the Dynamics of User Stance to the Structure of Online Discussions


Linking vision and motion for self-supervised object-centric perception


Linux Kernel Configurations at Scale: A Dataset for Performance and Evolution Analysis


LioNets: Local Interpretation of Neural Networks through Penultimate Layer Decoding


LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles


Lip to Speech Synthesis with Visual Context Attentional GAN


Lip2AudSpec: Speech reconstruction from silent lip movements video


LipGER: Visually-Conditioned Generative Error Correction for Robust Automatic Speech Recognition


LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers


LipLearner: Customizable Silent Speech Interactions on Mobile Devices


LipSim: A Provably Robust Perceptual Similarity Metric


LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading


Lipizzaner: A System That Scales Robust Generative Adversarial Network Training


Lipolysis on Lipid Droplets: Mathematical Modelling and Numerical Discretisations


Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes


Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection


LipsFormer: Introducing Lipschitz Continuity to Vision Transformers


Lipschitz Continuity Retained Binary Neural Network


Lipschitz Continuity in Model-based Reinforcement Learning


Lipschitz Lifelong Reinforcement Learning


Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks


Lipschitz constant estimation for general neural network architectures using control tools


Lipschitz continuity of quantum-classical conditional entropies with respect to angular distance and related properties


Lipschitz regularity of deep neural networks: analysis and efficient estimation


Lipschitz regularization for fracture: the Lip-field approach


Lipschitz standardization for multivariate learning


Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks


Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian


Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data


Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning


Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer


Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them


Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance


Liputan6: A Large-scale Indonesian Dataset for Text Summarization


Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology


Liquid Splash Modeling with Neural Networks


Liquid-liquid phase separation driven by charge heterogeneity


Liquid: Language Models are Scalable Multi-modal Generators


Lisbon Computational Linguists at SemEval-2024 Task 2: Using A Mistral 7B Model and Data Augmentation


Lissy: Experimenting with on-chain order books


List-Decodable Byzantine Robust PIR: Lower Communication Complexity, Higher Byzantine Tolerance, Smaller List Size


List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation


ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval


Listen and Speak Fairly: A Study on Semantic Gender Bias in Speech Integrated Large Language Models


Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF


Listen, Adapt, Better WER: Source-free Single-utterance Test-time Adaptation for Automatic Speech Recognition


Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences


Listen2Scene: Interactive material-aware binaural sound propagation for reconstructed 3D scenes


ListenNet: A Lightweight Spatio-Temporal Enhancement Nested Network for Auditory Attention Detection


Listener Model for the PhotoBook Referential Game with CLIPScores as Implicit Reference Chain


Listening and Seeing Again: Generative Error Correction for Audio-Visual Speech Recognition


Listening between the Lines: Learning Personal Attributes from Conversations


Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments


Listening to Sounds of Silence for Speech Denoising


Listening to Users' Voice: Automatic Summarization of Helpful App Reviews


Listening to the Noise: Blind Denoising with Gibbs Diffusion


Listing Maximal k-Plexes in Large Real-World Graphs


Listwise Generative Retrieval Models via a Sequential Learning Process


Listwise Learning to Rank by Exploring Unique Ratings


Listwise Reward Estimation for Offline Preference-based Reinforcement Learning


LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals


LitGen: Genetic Literature Recommendation Guided by Human Explanations


LitLLM: A Toolkit for Scientific Literature Review


LitLinker: Supporting the Ideation of Interdisciplinary Contexts with Large Language Models for Teaching Literature in Elementary Schools


LitMC-BERT: transformer-based multi-label classification of biomedical literature with an application on COVID-19 literature curation


LitMind Dictionary: An Open-Source Online Dictionary


LitSearch: A Retrieval Benchmark for Scientific Literature Search


Lite DETR : An Interleaved Multi-Scale Encoder for Efficient DETR


Lite Training Strategies for Portuguese-English and English-Portuguese Translation


Lite Transformer with Long-Short Range Attention


Lite Unified Modeling for Discriminative Reading Comprehension


Lite Vision Transformer with Enhanced Self-Attention


Lite-FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI Image


Lite-FPN for Keypoint-based Monocular 3D Object Detection


Lite-Mind: Towards Efficient and Robust Brain Representation Network


Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation


Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift


LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation


LiteBIRD Science Goals and Forecasts: A full-sky measurement of gravitational lensing of the CMB


LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices


LiteEFG: An Efficient Python Library for Solving Extensive-form Games


LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis


LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification Task


LiteGS: A High-Performance Modular Framework for Gaussian Splatting Training


LiteHAR: Lightweight Human Activity Recognition from WiFi Signals with Random Convolution Kernels


LiteMORT: A memory efficient gradient boosting tree system on adaptive compact distributions


LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation


LitePIG: A Lite Parameter Inference system for the Gravitational wave in the millihertz band


LiteTrack: Layer Pruning with Asynchronous Feature Extraction for Lightweight and Efficient Visual Tracking


LiteWebAgent: The Open-Source Suite for VLM-Based Web-Agent Applications


Literature Retrieval for Precision Medicine with Neural Matching and Faceted Summarization


Literature Review and Implementation Overview: High Performance Computing with Graphics Processing Units for Classroom and Research Use


Literature-Augmented Clinical Outcome Prediction


Lithium-Ion Battery Charging Schedule Optimization to Balance Battery Usage and Degradation


LitmusKt: Concurrency Stress Testing for Kotlin


Litrepl: Literate Paper Processor Promoting Transparency More Than Reproducibility


Little Giants: Synthesizing High-Quality Embedding Data at Scale


Little Strokes Fell Great Oaks: Boosting the Hierarchical Features for Multi-exposure Image Fusion


Little to lose: the case for a robust European green hydrogen strategy


LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts


LittleYOLO-SPP: A Delicate Real-Time Vehicle Detection Algorithm


Live Functional Programming with Typed Holes


Live Reconstruction of Large-Scale Dynamic Outdoor Worlds


Live Stream Temporally Embedded 3D Human Body Pose and Shape Estimation


Live Trojan Attacks on Deep Neural Networks


Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy


LiveBench: A Challenging, Contamination-Limited LLM Benchmark


LiveChat: A Large-Scale Personalized Dialogue Dataset Automatically Constructed from Live Streaming


LiveHand: Real-time and Photorealistic Neural Hand Rendering


LiveIdeaBench: Evaluating LLMs' Scientific Creativity and Idea Generation with Minimal Context


LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams


LiveMind: Low-latency Large Language Models with Simultaneous Inference


LiveNVS: Neural View Synthesis on Live RGB-D Streams


LiveNet: Robust, Minimally Invasive Multi-Robot Control for Safe and Live Navigation in Constrained Environments


LiveQA: A Question Answering Dataset over Sports Live


LiveStyle -- An Application to Transfer Artistic Styles


LiveTune: Dynamic Parameter Tuning for Feedback-Driven Optimization


LiveXiv -- A Multi-Modal Live Benchmark Based on Arxiv Papers Content


Lived Experience Not Found: LLMs Struggle to Align with Experts on Addressing Adverse Drug Reactions from Psychiatric Medication Use


Livelayer: A Semi-Automatic Software Program for Segmentation of Layers and Diabetic Macular Edema in Optical Coherence Tomography Images


LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation


Liver Cirrhosis Stage Estimation from MRI with Deep Learning


Liver Fibrosis and NAS scoring from CT images using self-supervised learning and texture encoding


Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss function


Liver Segmentation using Turbolift Learning for CT and Cone-beam C-arm Perfusion Imaging


Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network


Liver segmentation and metastases detection in MR images using convolutional neural networks


Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments


Living in a pandemic: adaptation of individual mobility and social activity in the US


Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?


Living on the Edge: An Unified Approach to Antithetic Sampling


LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset


LlamBERT: Large-scale low-cost data annotation in NLP


Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection


Llama See, Llama Do: A Mechanistic Perspective on Contextual Entrainment and Distraction in LLMs


Llama-VITS: Enhancing TTS Synthesis with Semantic Awareness


LlamaCare: A Large Medical Language Model for Enhancing Healthcare Knowledge Sharing


LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs


LlamaPartialSpoof: An LLM-Driven Fake Speech Dataset Simulating Disinformation Generation


LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking


LlamaTune: Sample-Efficient DBMS Configuration Tuning


LlamaTurk: Adapting Open-Source Generative Large Language Models for Low-Resource Language


LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs


Llamaradas Estelares: Modeling the Morphology of White-Light Flares


Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesis


LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models


Llumnix: Dynamic Scheduling for Large Language Model Serving


LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks


LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks


LoBSTr: Real-time Lower-body Pose Prediction from Sparse Upper-body Tracking Signals


LoCo: Low-Bit Communication Adaptor for Large-scale Model Training


LoCoCo: Dropping In Convolutions for Long Context Compression


LoCoMotif: Discovering time-warped motifs in time series


LoCoNet: Long-Short Context Network for Active Speaker Detection


LoCoQuad: A Low-Cost Arachnoid Quadruped Robot for Research and Education


LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data


LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form Control


LoFTI: Localization and Factuality Transfer to Indian Locales


LoFi User Scheduling for Multiuser MIMO Wireless Systems


LoFi: Neural Local Fields for Scalable Image Reconstruction


LoFiT: Localized Fine-tuning on LLM Representations


LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentation


LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters


LoGAN: Generating Logos with a Generative Adversarial Neural Network Conditioned on color


LoGDesc: Local geometric features aggregation for robust point cloud registration


LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition


LoGU: Long-form Generation with Uncertainty Expressions


LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion


LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning


LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion


LoIDE: a web-based IDE for Logic Programming - Preliminary Technical Report


LoKI: Low-damage Knowledge Implanting of Large Language Models


LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback


LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-Tuning


LoLI-Street: Benchmarking Low-Light Image Enhancement and Beyond


LoQT: Low-Rank Adapters for Quantized Pretraining


LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation


LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization


LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report


LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks


LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning


LoRA Training in the NTK Regime has No Spurious Local Minima


LoRA Unlearns More and Retains More (Student Abstract)


LoRA Users Beware: A Few Spurious Tokens Can Manipulate Your Finetuned Model


LoRA+: Efficient Low Rank Adaptation of Large Models


LoRA-Based Continual Learning with Constraints on Critical Parameter Changes


LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices


LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks


LoRA-GA: Low-Rank Adaptation with Gradient Approximation


LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration


LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and Vectors


LoRA-Pro: Are Low-Rank Adapters Properly Optimized?


LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters


LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation


LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin


LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning


LoRAX: LoRA eXpandable Networks for Continual Synthetic Image Attribution


LoRCoN-LO: Long-term Recurrent Convolutional Network-based LiDAR Odometry


LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receivers


LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling


LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models


LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation


LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models


LoRaWAN-enabled Smart Campus: The Dataset and a People Counter Use Case


LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning


LoReTrack: Efficient and Accurate Low-Resolution Transformer Tracking


LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks


LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics


LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation


LoSiA: Efficient High-Rank Fine-Tuning via Subnet Localization and Optimization


LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning


LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty


LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents


LoVR: A Benchmark for Long Video Retrieval in Multimodal Contexts


LoVe is in the Air -- Location Verification of ADS-B Signals using Distributed Public Sensors


LoViT: Long Video Transformer for Surgical Phase Recognition


LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning


Load Balancing in 5G HetNets with Millimeter Wave Integrated Access and Backhaul


Load Balancing in Compute Clusters with Delayed Feedback


Load Forecasting for Households and Energy Communities: Are Deep Learning Models Worth the Effort?


Load balancing for distributed nonlocal models within asynchronous many-task systems


Loc-NeRF: Monte Carlo Localization using Neural Radiance Fields


LocAgent: Graph-Guided LLM Agents for Code Localization


LocLLM: Exploiting Generalizable Human Keypoint Localization via Large Language Model


LocNet: Global localization in 3D point clouds for mobile vehicles


LocNet: Improving Localization Accuracy for Object Detection


LocVTP: Video-Text Pre-training for Temporal Localization


Local Additivity Based Data Augmentation for Semi-supervised NER


Local Aggressive Adversarial Attacks on 3D Point Cloud


Local Algorithms for Finding Densely Connected Clusters


Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting


Local Augmentation for Graph Neural Networks


Local Binary and Multiclass SVMs Trained on a Quantum Annealer


Local Bitcoin Network Simulator for Performance Evaluation using Lightweight Virtualization


Local Bures-Wasserstein Transport: A Practical and Fast Mapping Approximation


Local Byte Fusion for Neural Machine Translation


Local Causal Discovery for Estimating Causal Effects


Local Causal Discovery for Structural Evidence of Direct Discrimination


Local Causal Discovery with Linear non-Gaussian Cyclic Models


Local Causal Structure Learning in the Presence of Latent Variables


Local Centrality Minimization with Quality Guarantees


Local Classical Strategies vs Geometrical Quantum Constraints


Local Clustering and Global Spreading of Receptors for Optimal Spatial Gradient Sensing


Local Clustering for Lung Cancer Image Classification via Sparse Solution Technique


Local Clustering with Mean Teacher for Semi-supervised Learning


Local Compressed Video Stream Learning for Generic Event Boundary Detection


Local Concept Embeddings for Analysis of Concept Distributions in Vision DNN Feature Spaces


Local Conditional Neural Fields for Versatile and Generalizable Large-Scale Reconstructions in Computational Imaging


Local Configurations in Union-Closed Families


Local Constraint-Based Causal Discovery under Selection Bias


Local Context Normalization: Revisiting Local Normalization


Local Context-Aware Active Domain Adaptation


Local Critic Training for Model-Parallel Learning of Deep Neural Networks


Local Decoders for the 2D and 4D Toric Code


Local Differential Privacy for Federated Learning


Local Discontinuous Galerkin for the Functional Renormalisation Group


Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs


Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$ Regularization


Local Distance-Preserving Node Embeddings and Their Performance on Random Graphs


Local Edge Dynamics and Opinion Polarization


Local Energy Distribution Based Hyperparameter Determination for Stochastic Simulated Annealing


Local Evaluation of Time Series Anomaly Detection Algorithms


Local Explanation of Dialogue Response Generation


Local Explanation of Dimensionality Reduction


Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice


Local Feature Matching Using Deep Learning: A Survey


Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions


Local Frequency Domain Transformer Networks for Video Prediction


Local Geometric Distortions Resilient Watermarking Scheme Based on Symmetry


Local Implicit Grid Representations for 3D Scenes


Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution


Local Implicit Wavelet Transformer for Arbitrary-Scale Super-Resolution


Local Independence Testing for Point Processes


Local Information Assisted Attention-free Decoder for Audio Captioning


Local Intensity Order Transformation for Robust Curvilinear Object Segmentation


Local Interpretability of Random Forests for Multi-Target Regression


Local Intrinsic Dimensionality Signals Adversarial Perturbations


Local Label Point Correction for Edge Detection of Overlapping Cervical Cells


Local Large Language Models for Complex Structured Medical Tasks


Local Latent Representation based on Geometric Convolution for Particle Data Feature Exploration


Local Latent Space Bayesian Optimization over Structured Inputs


Local Latin Hypercube Refinement for Multi-objective Design Uncertainty Optimization


Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning


Local Linear Convergence of the Alternating Direction Method of Multipliers for Semidefinite Programming under Strict Complementarity


Local Linearity and Double Descent in Catastrophic Overfitting


Local Masking Meets Progressive Freezing: Crafting Efficient Vision Transformers for Self-Supervised Learning


Local Memory Attention for Fast Video Semantic Segmentation


Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions


Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Super-Resolution


Local Multi-Head Channel Self-Attention for Facial Expression Recognition


Local Multi-Label Explanations for Random Forest


Local Neighborhood Features for 3D Classification


Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data


Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning


Local Padding in Patch-Based GANs for Seamless Infinite-Sized Texture Synthesis


Local Patch AutoAugment with Multi-Agent Collaboration


Local Patch Network with Global Attention for Infrared Small Target Detection


Local Perception-Aware Transformer for Aerial Tracking


Local Periodicity-Based Beat Tracking for Expressive Classical Piano Music


Local Probabilistic Decoding of a Quantum Code


Local Projection Inference is Simpler and More Robust Than You Think


Local Projections or VARs? A Primer for Macroeconomists