Local Projections vs. VARs: Lessons From Thousands of DGPs


Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization


Local Sample-weighted Multiple Kernel Clustering with Consensus Discriminative Graph


Local Search for Fast Matrix Multiplication


Local Sliced-Wasserstein Feature Sets for Illumination-invariant Face Recognition


Local Slot Attention for Vision-and-Language Navigation


Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis


Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition


Local Subspace-Based Outlier Detection using Global Neighbourhoods


Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning


Local Symmetry and Global Structure in Adaptive Voter Models


Local Texture Estimator for Implicit Representation Function


Local Universal Explainer (LUX) -- a rule-based explainer with factual, counterfactual and visual explanations


Local Variables and Quantum Relational Hoare Logic


Local Vertex Colouring Graph Neural Networks


Local Wind Regime Induced by Giant Linear Dunes: Comparison of ERA5-Land Reanalysis with Surface Measurements


Local Word Vectors Guiding Keyphrase Extraction


Local Zeta Functions of Multiparameter Calabi-Yau Threefolds from the Picard-Fuchs Equations


Local and Global Context-Based Pairwise Models for Sentence Ordering


Local and Global Contexts for Conversation


Local and Global Decoding in Text Generation


Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps


Local and Global Point Cloud Reconstruction for 3D Hand Pose Estimation


Local and nonlocal homogenization of wave propagation in time-varying media


Local angles and dimension estimation from data on manifolds


Local atomic stacking and symmetry in twisted graphene trilayers


Local causal effects with continuous exposures: A matching estimator for the average causal derivative effect


Local classical MAX-CUT algorithm outperforms $p=2$ QAOA on high-girth regular graphs


Local data of rational elliptic curves with non-trivial torsion


Local density approximation for excited states


Local dimension reduction of summary statistics for likelihood-free inference


Local dominance unveils clusters in networks


Local elimination in the traveling salesman problem


Local equations describe unreasonably efficient stochastic algorithms in random K-SAT


Local gate control of Mott metal-insulator transition in a 2D metal-organic framework


Local heights on hyperelliptic curves and quadratic Chabauty


Local homeostatic regulation of the spectral radius of echo-state networks


Local intraspecific aggregation in phytoplankton model communities: spatial scales of occurrence and implications for coexistence


Local manifold learning and its link to domain-based physics knowledge


Local migration quantification method for scratch assays


Local negative circuits and cyclic attractors in Boolean networks with at most five components


Local neural operator for solving transient partial differential equations on varied domains


Local non-Gaussianities from cross-correlations between the CMB and 21-cm


Local overlap reduction procedure for dynamic ensemble selection


Local plasticity rules can learn deep representations using self-supervised contrastive predictions


Local primordial non-Gaussianity from the large-scale clustering of photometric DESI luminous red galaxies


Local spectral attention for full-band speech enhancement


Local stability of cooperation in a continuous model of indirect reciprocity


Local surrogates for quantum machine learning


Local variations of the radial metallicity gradient in a simulated NIHAO-UHD Milky Way analogue and their implications for (extra-)galactic studies


Local word statistics affect reading times independently of surprisal


Local, global and scale-dependent node roles


Local-Cloud Inference Offloading for LLMs in Multi-Modal, Multi-Task, Multi-Dialogue Settings


Local-Global Attention: An Adaptive Mechanism for Multi-Scale Feature Integration


Local-Global Context Aware Transformer for Language-Guided Video Segmentation


Local-Global MCMC kernels: the best of both worlds


Local-Global Transformer Enhanced Unfolding Network for Pan-sharpening


Local-Global Video-Text Interactions for Temporal Grounding


Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis


Local-global principle for 11-isogenies of elliptic curves is true over quadratic fields


LocalBins: Improving Depth Estimation by Learning Local Distributions


LocalRQA: From Generating Data to Locally Training, Testing, and Deploying Retrieval-Augmented QA Systems


Localise to segment: crop to improve organ at risk segmentation accuracy


Localising In-Domain Adaptation of Transformer-Based Biomedical Language Models


Localising the Seizure Onset Zone from Single-Pulse Electrical Stimulation Responses with a CNN Transformer


Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking


Locality Constraint Dictionary Learning with Support Vector for Pattern Classification


Locality Guidance for Improving Vision Transformers on Tiny Datasets


Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations


Locality Preserving Joint Transfer for Domain Adaptation


Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulations


Locality sensitive hashing via mechanical behavior


Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning


Locality-Aware Zero-Shot Human-Object Interaction Detection


Locality-Sensitive Hashing Does Not Guarantee Privacy! Attacks on Google's FLoC and the MinHash Hierarchy System


Locality-Sensitive Hashing Scheme based on Longest Circular Co-Substring


Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics


Locality-constrained Spatial Transformer Network for Video Crowd Counting


Locality-constrained autoregressive cum conditional normalizing flow for lattice field theory simulations


Locality-sensitive bucketing functions for the edit distance


Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It


Localization Recall Precision (LRP): A New Performance Metric for Object Detection


Localization and multifractal properties of the long-range Kitaev chain in the presence of an Aubry-André-Harper modulation


Localization crossover and subdiffusive transport in a classical facilitated network model of a disordered, interacting quantum spin chain


Localization in Digital Twin MIMO Networks: A Case for Massive Fingerprinting


Localization in Dynamic Planar Environments Using Few Distance Measurements


Localization in the Crowd with Topological Constraints


Localization of Brain Activity from EEG/MEG Using MV-PURE Framework


Localization of Fake News Detection via Multitask Transfer Learning


Localization of Just Noticeable Difference for Image Compression


Localization of Sound Sources in a Room with One Microphone


Localization of Synthetic Manipulations in Western Blot Images


Localization of point scatterers via sparse optimization on measures


Localization processes for functional data analysis


Localization supervision of chest x-ray classifiers using label-specific eye-tracking annotation


Localization using Mobile Wireless Sensor Networks


Localization with Noisy Android Raw GNSS Measurements


Localization-Guided Track: A Deep Association Multi-Object Tracking Framework Based on Localization Confidence of Detections


Localization-based OFDM framework for RIS-aided systems


Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner


Localized Adversarial Domain Generalization


Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation


Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond


Localized Definitions and Distributed Reasoning: A Proof-of-Concept Mechanistic Interpretability Study via Activation Patching


Localized Fourier Analysis for Graph Signal Processing


Localized Orthogonal Decomposition Methods vs. Classical FEM for the Gross-Pitaevskii Equation


Localized Questions in Medical Visual Question Answering


Localized RETE for Incremental Graph Queries


Localized Shape Modelling with Global Coherence: An Inverse Spectral Approach


Localized Sparse Incomplete Multi-view Clustering


Localized Super Resolution for Foreground Images using U-Net and MR-CNN


Localized Vision-Language Matching for Open-vocabulary Object Detection


Localized Weather Prediction Using Kolmogorov-Arnold Network-Based Models and Deep RNNs


Localized exploration in contextual dynamic pricing achieves dimension-free regret


Localized statistics decoding: A parallel decoding algorithm for quantum low-density parity-check codes


Localizing Active Objects from Egocentric Vision with Symbolic World Knowledge


Localizing Anatomical Landmarks in Ocular Images using Zoom-In Attentive Networks


Localizing Anomalies via Multiscale Score Matching Analysis


Localizing Factual Inconsistencies in Attributable Text Generation


Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios


Localizing Model Behavior with Path Patching


Localizing Moments in Long Video Via Multimodal Guidance


Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine Translation


Localizing Paragraph Memorization in Language Models


Localizing Scan Targets from Human Pose for Autonomous Lung Ultrasound Imaging


Localizing Semantic Patches for Accelerating Image Classification


Localizing Sources of Variability in Crowded TESS Photometry


Localizing Task Information for Improved Model Merging and Compression


Localizing Unsynchronized Sensors with Unknown Sources


Localizing and Mitigating Errors in Long-form Question Answering


Localizing the Common Action Among a Few Videos


Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework


Locally Adaptive Neural 3D Morphable Models


Locally Adaptive Spatial Quantile Smoothing: Application to Monitoring Crime Density in Tokyo


Locally Checkable Problems in Rooted Trees


Locally Convex Global Loss Network for Decision-Focused Learning


Locally Differentially Private Distributed Deep Learning via Knowledge Distillation


Locally Differentially Private Document Generation Using Zero Shot Prompting


Locally Differentially Private Frequency Estimation via Joint Randomized Response


Locally Differentially Private Frequency Estimation with Consistency


Locally Differentially Private Heavy Hitter Identification


Locally Differentially Private Sparse Vector Aggregation


Locally Feasibly Projected Sequential Quadratic Programming for Nonlinear Programming on Arbitrary Smooth Constraint Manifolds


Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection


Locally Linear Image Structural Embedding for Image Structure Manifold Learning


Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards


Locally Private Nonparametric Contextual Multi-armed Bandits


Locally Shifted Attention With Early Global Integration


Locally Sparse Neural Networks for Tabular Biomedical Data


Locally Unitarily Invariantizable NEPv and Convergence Analysis of SCF


Locally Valid and Discriminative Prediction Intervals for Deep Learning Models


Locally anisotropic covariance functions on the sphere


Locally sparse quantile estimation for a partially functional interaction model


Locally stationary spatio-temporal interpolation of Argo profiling float data


Locally-adaptive Bayesian nonparametric inference for phylodynamics


Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering


Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition


Locate and Verify: A Two-Stream Network for Improved Deepfake Detection


Locate n' Rotate: Two-stage Openable Part Detection with Foundation Model Priors


Locating Cephalometric X-Ray Landmarks with Foveated Pyramid Attention


Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on Wikipedia


Locating Language-Specific Information in Contextualized Embeddings


Locating and Extracting Relational Concepts in Large Language Models


Locating clustered seismicity using Distance Geometry Solvers: applications for sparse and single-borehole DAS networks


Locating disparities in machine learning


Locating dust and molecules in the inner circumstellar environment of R~Sculptoris with MATISSE


Locating earthquakes with a network of seismic stations via a deep learning method


Locating the Leading Edge of Cultural Change


Locating the source of forced oscillations in transmission power grids


Location Aware Modular Biencoder for Tourism Question Answering


Location Information Sharing Using Software Defined Radio in Multi-UAV Systems


Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models


Location Trace Privacy Under Conditional Priors


Location analysis of players in UEFA EURO 2020 and 2022 using generalized valuation of defense by estimating probabilities


Location and association measures for interval data based on Mallows' distance


Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones


Location, orbit and energy of a meteoroid impacting the moon during the Lunar Eclipse of January 21, 2019


Location-Aware Visual Question Generation with Lightweight Models


Location-Free Camouflage Generation Network


Location-Sensitive Visual Recognition with Cross-IOU Loss


Location-adjusted Wald statistics for scalar parameters


Location-aware Adaptive Normalization: A Deep Learning Approach For Wildfire Danger Forecasting


Location-aware Graph Convolutional Networks for Video Question Answering


Location-aware Single Image Reflection Removal


Location-aware Upsampling for Semantic Segmentation


LocationReasoner: Evaluating LLMs on Real-World Site Selection Reasoning


Locations of Characters in Narratives: Andersen and Persuasion Datasets


Loci-Segmented: Improving Scene Segmentation Learning


Lock Prediction for Zero-Downtime Database Encryption


Lock-Free Computation of PageRank in Dynamic Graphs


Lockcoin: a secure and privacy-preserving mix service for bitcoin anonymity


Lockpicking LLMs: A Logit-Based Jailbreak Using Token-level Manipulation


LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion


Locomotor transitions in the potential energy landscape-dominated regime


Locosim: an Open-Source Cross-Platform Robotics Framework


Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads on Consumer-Grade Devices


Locuaz: an in-silico platform for antibody fragments optimization


Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling


Locust: C++ software for simulation of RF detection


LodeStar: Maritime Radar Descriptor for Semi-Direct Radar Odometry


Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives


LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models


LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models


Log Parsing Evaluation in the Era of Modern Software Systems


Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Models


Log Statements Generation via Deep Learning: Widening the Support Provided to Developers


Log severity levels matter: A multivocal mapping


Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets


Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment


Log-Linear-Time Gaussian Processes Using Binary Tree Kernels


Log-Polar Space Convolution for Convolutional Neural Networks


Log-Time K-Means Clustering for 1D Data: Novel Approaches with Proof and Implementation


Log-based Anomaly Detection Without Log Parsing


Log-based Anomaly Detection with Deep Learning: How Far Are We?


Log-concave density estimation in undirected graphical models


Log-correlated color in Monet's paintings


Log-density gradient covariance and automatic metric tensors for Riemann manifold Monte Carlo methods


LogAI: A Library for Log Analytics and Intelligence


LogDP: Combining Dependency and Proximity for Log-based Anomaly Detection


LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis


LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection


LogLLM: Log-based Anomaly Detection Using Large Language Models


LogLM: From Task-based to Instruction-based Automated Log Analysis


LogLSHD: Fast Log Parsing with Locality-Sensitive Hashing and Dynamic Time Warping


LogPrécis: Unleashing Language Models for Automated Malicious Log Analysis


LogQuant: Log-Distributed 2-Bit Quantization of KV Cache with Superior Accuracy Preservation


LogSD: Detecting Anomalies from System Logs through Self-supervised Learning and Frequency-based Masking


LogShrink: Effective Log Compression by Leveraging Commonality and Variability of Log Data


Logarithmic Memory Networks (LMNs): Efficient Long-Range Sequence Modeling for Resource-Constrained Environments


Logarithmic regret in the ergodic Avellaneda-Stoikov market making model


Logarithmically complex rigorous Fourier space solution to the 1D grating diffraction problem


LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation


LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval


LogiCoT: Logical Chain-of-Thought Instruction-Tuning


LogiCode: an LLM-Driven Framework for Logical Anomaly Detection


LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning


Logic Against Bias: Textual Entailment Mitigates Stereotypical Sentence Reasoning


Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding


Logic Constrained Pointer Networks for Interpretable Textual Similarity


Logic Gate Neural Networks are Good for Verification


Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs


Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification


Logic Rules as Explanations for Legal Case Retrieval


Logic and Commonsense-Guided Temporal Knowledge Graph Completion


Logic-Based Discrete-Steepest Descent: A Solution Method for Process Synthesis Generalized Disjunctive Programs


Logic-Consistency Text Generation from Semantic Parses


Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text


Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning


Logic-RAG: Augmenting Large Multimodal Models with Visual-Spatial Knowledge for Road Scene Understanding


Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning


Logic-based Explanations for Linear Support Vector Classifiers with Reject Option


Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification


Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language


Logic.py: Bridging the Gap between LLMs and Constraint Solvers


Logic2Text: High-Fidelity Natural Language Generation from Logical Forms


LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models


LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models


LogicLearner: A Tool for the Guided Practice of Propositional Logic Proofs


LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints


LogicOCR: Do Your Large Multimodal Models Excel at Logical Reasoning on Text-Rich Images?


LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning


LogicPrpBank: A Corpus for Logical Implication and Equivalence


LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning


LogicRec: Recommendation with Users' Logical Requirements


LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning


LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts


Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models


Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning


Logical Consistency is Vital: Neural-Symbolic Information Retrieval for Negative-Constraint Queries


Logical Distillation of Graph Neural Networks


Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning


Logical Expressiveness of Graph Neural Networks with Hierarchical Node Individualization


Logical Implications for Visual Question Answering Consistency


Logical Inference for Counting on Semi-structured Tables


Logical Learning Through a Hybrid Neural Network with Auxiliary Inputs


Logical Message Passing Networks with One-hop Inference on Atomic Formulas


Logical Natural Language Generation from Open-Domain Tables


Logical Reasoning over Natural Language as Knowledge Representation: A Survey


Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models


Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents


Logical Tasks for Measuring Extrapolation and Rule Comprehension


Logical peering for interdomain networking on testbeds


Logical relations for coherence of effect subtyping


Logically Consistent Adversarial Attacks for Soft Theorem Provers


LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment


Logistic Regression Through the Veil of Imprecise Data


Logistic lasso regression with nearest neighbors for gradient-based dimension reduction


Logistic-ELM: A Novel Fault Diagnosis Method for Rolling Bearings


Logistic-Normal Likelihoods for Heteroscedastic Label Noise


Logistic-beta processes for dependent random probabilities with beta marginals


Logistics, Graphs, and Transformers: Towards improving Travel Time Estimation


Logit Normalization for Long-tail Object Detection


Logit Scaling for Out-of-Distribution Detection


Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning


Logit Standardization in Knowledge Distillation


Logit unfolding choice models for binary data


Logits DeConfusion with CLIP for Few-Shot Learning


Logits are All We Need to Adapt Closed Models


Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification


LogoDet-3K: A Large-Scale Image Dataset for Logo Detection


LogoNet: a fine-grained network for instance-level logo sketch retrieval


LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds


LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer


Logolinear series expansions with applications to primordial cosmology


Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition


Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression


Loki: A System for Serving ML Inference Pipelines with Hardware and Accuracy Scaling


Loki: An Open-Source Tool for Fact Verification


Loki: Low-rank Keys for Efficient Sparse Attention


Lomas: A Platform for Confidential Analysis of Private Data


Lomics: Generation of Pathways and Gene Sets using Large Language Models for Transcriptomic Analysis


Lon-ea at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction


Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic


Long Code Arena: a Set of Benchmarks for Long-Context Code Models


Long Context Transfer from Language to Vision


Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models


Long Context vs. RAG for LLMs: An Evaluation and Revisits


Long Distance Relationships without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling


Long Document Ranking with Query-Directed Sparse Transformer


Long Document Re-ranking with Modular Re-ranker


Long Expressive Memory for Sequence Modeling


Long Horizon Forecasting With Temporal Point Processes


Long Input Benchmark for Russian Analysis


Long Range Constraints for Neural Texture Synthesis Using Sliced Wasserstein Loss


Long Range Propagation on Continuous-Time Dynamic Graphs


Long Short-Term Memory Spiking Networks and Their Applications


Long Short-Term Memory for Spatial Encoding in Multi-Agent Path Planning


Long Story Short: Omitted Variable Bias in Causal Machine Learning


Long Story Short: a Summarize-then-Search Method for Long Video Question Answering


Long Tail Image Generation Through Feature Space Augmentation and Iterated Learning


Long Term Motion Prediction Using Keyposes


Long Term Photometric Variability in Kepler Full Frame Images: Magnetic Cycles of Sun-Like Stars


Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence


Long Text and Multi-Table Summarization: Dataset and Method


Long Time No See! Open-Domain Conversation with Long-Term Persona Memory


Long and Diverse Text Generation with Planning-based Hierarchical Variational Model


Long term availability of raw experimental data in experimental fracture mechanics


Long ties accelerate noisy threshold-based contagions


Long-CLIP: Unlocking the Long-Text Capability of CLIP


Long-Context Inference with Retrieval-Augmented Speculative Decoding


Long-Context Language Modeling with Parallel Context Encoding


Long-Exposure NuSTAR Constraints on Decaying Dark Matter in the Galactic Halo


Long-Form Speech Generation with Spoken Language Models


Long-Form Text-to-Music Generation with Adaptive Prompts: A Case Study in Tabletop Role-Playing Games Soundtracks


Long-Horizon Rollout via Dynamics Diffusion for Offline Reinforcement Learning


Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors


Long-Range Feature Propagating for Natural Image Matting


Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli


Long-Range Grouping Transformer for Multi-View 3D Reconstruction


Long-Range ICN for the IoT: Exploring a LoRa System Design


Long-Range Transformers for Dynamic Spatiotemporal Forecasting


Long-Sequence Recommendation Models Need Decoupled Embeddings


Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models


Long-Short Distance Graph Neural Networks and Improved Curriculum Learning for Emotion Recognition in Conversation


Long-Short Ensemble Network for Bipolar Manic-Euthymic State Recognition Based on Wrist-worn Sensors


Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning


Long-Short Temporal Co-Teaching for Weakly Supervised Video Anomaly Detection


Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation


Long-Span Summarization via Local Attention and Content Selection


Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts


Long-Tail Temporal Action Segmentation with Group-wise Temporal Logit Adjustment


Long-Tail Theory under Gaussian Mixtures


Long-Tailed 3D Detection via Multi-Modal Fusion


Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss


Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect


Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study


Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation


Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail


Long-Tailed Partial Label Learning via Dynamic Rebalancing


Long-Tailed Recognition Using Class-Balanced Experts


Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels


Long-Tailed Recognition via Weight Balancing


Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation


Long-Term Dynamic Window Approach for Kinodynamic Local Planning in Static and Crowd Environments


Long-Term Exploration in Persistent MDPs


Long-Term Fair Decision Making through Deep Generative Models


Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement


Long-Term Feature Banks for Detailed Video Understanding


Long-Term Human Trajectory Prediction using 3D Dynamic Scene Graphs


Long-Term Localization using Semantic Cues in Floor Plan Maps


Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models


Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones


Long-Term Upper-Limb Prosthesis Myocontrol via High-Density sEMG and Incremental Learning


Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans


Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning


Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuray


Long-context LLMs Struggle with Long In-context Learning


Long-context Language Models Cannot Retrieve Without Sufficient Steps


Long-context Non-factoid Question Answering in Indic Languages


Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers


Long-frame-shift Neural Speech Phase Prediction with Spectral Continuity Enhancement and Interpolation Error Compensation


Long-period Pulsars as Possible Outcomes of Supernova Fallback Accretion


Long-range Corrected Fragment Molecular Orbital Density-Functional Tight-binding Method for Excited States in Large Molecular Systems


Long-range UAV Thermal Geo-localization with Satellite Imagery


Long-range dispersion-inclusive machine learning potentials for structure search and optimization of hybrid organic-inorganic interfaces


Long-tail Augmented Graph Contrastive Learning for Recommendation


Long-tail Detection with Effective Class-Margins


Long-tailed Instance Segmentation using Gumbel Optimized Loss


Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier Calibration


Long-tailed Recognition by Routing Diverse Distribution-Aware Experts


Long-tailed distributions of inter-event times as mixtures of exponential distributions


Long-tailed multi-label classification with noisy label of thoracic diseases from chest X-ray


Long-term Causal Effects Estimation via Latent Surrogates Representation Learning


Long-term Causal Inference Under Persistent Confounding via Data Combination


Long-term Control for Dialogue Generation: Methods and Evaluation


Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks


Long-term Data Sharing under Exclusivity Attacks


Long-term Human Motion Prediction with Scene Context


Long-term Joint Scheduling for Urban Traffic


Long-term Off-Policy Evaluation and Learning


Long-term Pedestrian Trajectory Prediction using Mutable Intention Filter and Warp LSTM


Long-term Reproducibility for Neural Architecture Search


Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph Attention


Long-term Traffic Simulation with Interleaved Autoregressive Motion and Scenario Generation


Long-term drought prediction using deep neural networks based on geospatial weather data


Long-term impact of PM2.5 on mortality is exacerbated when wildfire events occur


Long-term memory effects of an incremental blood pressure intervention in a mortal cohort


Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence


Long-term tracking of social structure in groups of rats


Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling


Long-time integration of parametric evolution equations with physics-informed DeepONets


LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration


LongAlign: A Recipe for Long Context Alignment of Large Language Models


LongAttn: Selecting Long-context Training Data via Token-level Attention


LongBoX: Evaluating Transformers on Long-Sequence Clinical Tasks


LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA


LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information


LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation


LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating


LongEmbed: Extending Embedding Models for Long Context Retrieval


LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization


LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data


LongForm: Effective Instruction Tuning with Reverse Instructions


LongGenBench: Long-context Generation Benchmark


LongHalQA: Long-Context Hallucination Evaluation for MultiModal Large Language Models


LongKey: Keyphrase Extraction for Long Documents


LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs


LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via a Hybrid Architecture


LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models


LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement


LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory


LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization


LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering


LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment


LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models


LongReward: Improving Long-context Large Language Models with AI Feedback


LongSafety: Evaluating Long-Context Safety of Large Language Models


LongSafetyBench: Long-Context LLMs Struggle with Safety Issues


LongSpec: Long-Context Speculative Decoding with Efficient Drafting and Verification


LongVALE: Vision-Audio-Language-Event Benchmark Towards Time-Aware Omni-Modal Perception of Long Videos


LongVLM: Efficient Long Video Understanding via Large Language Models


LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding


LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding


LongWanjuan: Towards Systematic Measurement for Long Text Quality


LongWriter-V: Enabling Ultra-Long and High-Fidelity Generation in Vision-Language Models


Longer Attention Span: Increasing Transformer Context Length with Sparse Graph Processing Techniques


Longest Common Extensions with Wildcards: Trade-off and Applications


Longest Common Substring in Longest Common Subsequence's Solution Service: A Novel Hyper-Heuristic


Longest cycles in vertex-transitive and highly connected graphs


Longformer for MS MARCO Document Re-ranking Task


Longformer: Longitudinal Transformer for Alzheimer's Disease Classification with Structural MRIs


Longhorn: State Space Models are Amortized Online Learners


Longitudinal Analysis and Quantitative Assessment of Child Development through Mobile Interaction


Longitudinal Assessment of Reference Quality on Wikipedia


Longitudinal Correlation Analysis for Decoding Multi-Modal Brain Development


Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation


Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models


Longitudinal Modularity, a Modularity for Link Streams


Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification


Longitudinal Principal Manifold Estimation


Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs


Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting


Longitudinal Study of the Prevalence of Malware Evasive Techniques


Longitudinal analysis of exchanges of support between parents and children in the UK


Longitudinal detection of radiological abnormalities with time-modulated LSTM


Longitudinal diffusion MRI analysis using Segis-Net: a single-step deep-learning framework for simultaneous segmentation and registration


Longitudinal high-throughput TCR repertoire profiling reveals the dynamics of T cell memory formation after mild COVID-19 infection


Longitudinal modeling of age-dependent latent traits with generalized additive latent and mixed models


Longitudinal prediction of DNA methylation to forecast epigenetic outcomes


Longitudinal weighted and trimmed treatment effects with flip interventions


Longtonotes: OntoNotes with Longer Coreference Chains


LooGLE: Can Long-Context Language Models Understand Long Contexts?


LooPy: A Research-Friendly Mix Framework for Music Information Retrieval on Electronic Dance Music


Look ATME: The Discriminator Mean Entropy Needs Attention


Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition


Look Again at the Syntax: Relational Graph Convolutional Network for Gendered Ambiguous Pronoun Resolution


Look Ahead Text Understanding and LLM Stitching


Look Around and Find Out: OOD Detection with Relative Angles


Look Around and Refer: 2D Synthetic Semantics Knowledge Distillation for 3D Visual Grounding


Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning


Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling


Look Before You Leap: Enhancing Attention and Vigilance Regarding Harmful Content with GuidelineLLM


Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding


Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL


Look Beyond Bias with Entropic Adversarial Data Augmentation


Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation


Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator


Look Closer to Your Enemy: Learning to Attack via Teacher-Student Mimicking


Look Gauss, No Pose: Novel View Synthesis using Gaussian Splatting without Accurate Pose Initialization


Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection


Look Into the LITE in Deep Learning for Time Series Classification


Look Ma, Only 400 Samples! Revisiting the Effectiveness of Automatic N-Gram Rule Generation for Spelling Normalization in Filipino


Look More but Care Less in Video Recognition


Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation


Look Once to Hear: Target Speech Hearing with Noisy Examples


Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models


Look Twice: A Generalist Computational Model Predicts Return Fixations across Tasks and Species


Look Who's Talking: Active Speaker Detection in the Wild


Look Who's Talking: Inferring Speaker Attributes from Personal Longitudinal Dialog


Look and Modify: Modification Networks for Image Captioning


Look at Boundary: A Boundary-Aware Face Alignment Algorithm


Look at the First Sentence: Position Bias in Question Answering


Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think


Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis


Look back, look around: a systematic analysis of effective predictors for new outlinks in focused Web crawling


Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion


Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos


Look globally, age locally: Face aging with an attention mechanism


Look mom, no experimental data! Learning to score protein-ligand interactions from simulations


Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning


Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning


Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering


Look, Read and Enrich. Learning from Scientific Figures and their Captions


Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation


Look-Ahead SCOPF (LASCOPF) for Tracking Demand Variation via Auxiliary Proximal Message Passing (APMP) Algorithm


Look-Ahead Screening Rules for the Lasso


Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks


Look-back Decoding for Open-Ended Text Generation


Look-into-Object: Self-supervised Structure Modeling for Object Recognition


Look-up and Adapt: A One-shot Semantic Parser


Look-ups are not (yet) all you need for deep learning inference


LookAhead Tuning: Safer Language Models via Partial Answer Previews


LookAhead: Preventing DeFi Attacks via Unveiling Adversarial Contracts


LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate


LookOut on Time-Evolving Graphs: Succinctly Explaining Anomalies from Any Detector


Look\&Listen: Multi-Modal Correlation Learning for Active Speaker Detection and Speech Enhancement


Lookahead Diffusion Probabilistic Models for Refining Mean Estimation


Lookahead Exploration with Neural Radiance Representation for Continuous Vision-Language Navigation


Lookahead Pathology in Monte-Carlo Tree Search


Lookahead: a Far-Sighted Alternative of Magnitude-based Pruning


Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps


Lookbehind-SAM: k steps back, 1 step forward


Looking 3D: Anomaly Detection with 2D-3D Alignment


Looking At The Body: Automatic Analysis of Body Gestures and Self-Adaptors in Psychological Distress


Looking Backward: Streaming Video-to-Video Translation with Feature Banks


Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction


Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTI


Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction


Looking Beyond The Top-1: Transformers Determine Top Tokens In Order


Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers


Looking Beyond Visible Cues: Implicit Video Question Answering via Dual-Clue Reasoning


Looking Inside Out: Anticipating Driver Intent From Videos


Looking Inward: Language Models Can Learn About Themselves by Introspection


Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images


Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections


Looking and Listening: Audio Guided Text Recognition


Looking at Model Debiasing through the Lens of Anomaly Detection


Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference


Looking at the whole picture: constrained unsupervised anomaly segmentation


Looking elsewhere: improving variational Monte Carlo gradients by importance sampling


Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy


Looking for MACHOs in the Spectra of Fast Radio Bursts


Looking for WIMPs through the neutrino fogs


Looking for a Handsome Carpenter! Debiasing GPT-3 Job Advertisements


Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation


Looking for a better fit? An Incremental Learning Multimodal Object Referencing Framework adapting to Individual Drivers


Looking for change? Roll the Dice and demand Attention


Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition


Looking in the axion mirror: An all-sky analysis of stimulated decay


Looking into Concept Explanation Methods for Diabetic Retinopathy Classification


Looking into informal currency markets as Limit Order Books: impact of market makers


Looking out for the Galileon in the nanohertz gravitational wave sky


Looking through the past: better knowledge retention for generative replay in continual learning


Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping


LookupFFN: Making Transformers Compute-lite for CPU inference


LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism


Loop Closure Detection Based on Object-level Spatial Layout and Semantic Consistency


Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editing


Loop Estimator for Discounted Values in Markov Reward Processes


Loop Improvement: An Efficient Approach for Extracting Shared Features from Heterogeneous Data without Central Server


Loop Tiling in Large-Scale Stencil Codes at Run-time with OPS


Loop unrolling: formal definition and application to testing


Loop-level double-copy for massive fermions in the fundamental


LoopDA: Constructing Self-loops to Adapt Nighttime Semantic Segmentation


LoopDB: A Loop Closure Dataset for Large Scale Simultaneous Localization and Mapping


LoopGaussian: Creating 3D Cinemagraph with Multi-view Images via Eulerian Motion Field


LoopGen: Training-Free Loopable Music Generation


LoopLynx: A Scalable Dataflow Architecture for Efficient LLM Inference


LoopNet: Musical Loop Synthesis Conditioned On Intuitive Musical Parameters


LoopSplat: Loop Closure by Registering 3D Gaussian Splats


LoopTree: Exploring the Fused-layer Dataflow Accelerator Design Space


Looped Transformers are Better at Learning Learning Algorithms


Looped Transformers for Length Generalization


Looping in the Human Collaborative and Explainable Bayesian Optimization


Loopy Cuts: Surface-Field Aware Block Decomposition for Hex-Meshing


Loosely Synchronized Rule-Based Planning for Multi-Agent Path Finding with Asynchronous Actions


Loosely coupled 4D-Radar-Inertial Odometry for Ground Robots


Loosely-Coupled Semi-Direct Monocular SLAM


LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition


Lord of the Ring(s): Side Channel Attacks on the CPU On-Chip Ring Interconnect Are Practical


Lord's 'paradox' explained: the 50-year warning on the use of 'change scores' in observational data


Lorentzian Coxeter systems and Boyd-Maxwell ball packings


Losing Control of your Network? Try Resilience Theory


Loss Balancing for Fair Supervised Learning


Loss Bounds for Approximate Influence-Based Abstraction


Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance


Loss Dynamics of Temporal Difference Reinforcement Learning


Loss Ensembles for Extremely Imbalanced Segmentation


Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search


Loss Function Search for Face Recognition


Loss Functions for Classification using Structured Entropy


Loss Functions for Neural Networks for Image Processing


Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook


Loss Landscape Analysis for Reliable Quantized ML Models for Scientific Sensing


Loss Landscape Sightseeing with Multi-Point Optimization


Loss Switching Fusion with Similarity Search for Video Classification


Loss function to optimise signal significance in particle physics


Loss re-scaling VQA: Revisiting the LanguagePrior Problem from a Class-imbalance View


Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks


Loss-Curvature Matching for Dataset Selection and Condensation


Loss-Optimal Classification Trees: A Generalized Framework and the Logistic Case


Loss-aware Binarization of Deep Networks


Loss-aware Weight Quantization of Deep Networks


Loss-based prior for tree topologies in BART models


Loss-tolerant architecture for quantum computing with quantum emitters


Loss-tolerant teleportation on large stabilizer states


LossVal: Efficient Data Valuation for Neural Networks


Losses over Labels: Weakly Supervised Learning via Direct Loss Construction


Lossless Acceleration of Large Language Model via Adaptive N-gram Parallel Decoding


Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding


Lossless Compression of Structured Convolutional Models via Lifting


Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search


Lossless Compression with Probabilistic Circuits


Lossless Image Compression through Super-Resolution


Lossless SIMD Compression of LiDAR Range and Attribute Scan Sequences


Lossless compression with state space models using bits back coding


Lossy Compression for Lossless Prediction


Lossy Compressor preserving variant calling through Extended BWT


Lossy Gradient Compression: How Much Accuracy Can One Bit Buy?


Lossy Image Compression with Conditional Diffusion Models


Lossy Semantic Communication for the Logical Deduction of the State of the World


Lost & Found: Tracking Changes from Egocentric Observations in 3D Dynamic Scene Graphs


Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation


Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking


Lost and Found: Stopping Bluetooth Finders from Leaking Private Information


Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory


Lost in Context: The Influence of Context on Feature Attribution Methods for Object Recognition


Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts?


Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction


Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation


Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation


Lost in Machine Translation: A Method to Reduce Meaning Loss


Lost in Recursion: Mining Rich Event Semantics in Knowledge Graphs


Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?


Lost in Siting: The Hidden Carbon Cost of Inequitable Residential Solar Installations


Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language Resamplers


Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media


Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code


Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models


Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation


Lost in UNet: Improving Infrared Small Target Detection by Underappreciated Local Features


Lost in the Middle, and In-Between: Enhancing Language Models' Ability to Reason Over Long Contexts in Multi-Hop QA


Lost in the Middle: How Language Models Use Long Contexts


Lost in the Mix: Evaluating LLM Understanding of Code-Switched Text


Lost-in-the-Middle in Long-Text Generation: Synthetic Dataset, Evaluation Framework, and Mitigation


LostPaw: Finding Lost Pets using a Contrastive Learning-based Transformer with Visual Input


Lots and Lots of Perrin-Type Primality Tests and Their Pseudo-Primes


Lottery Aware Sparsity Hunting: Enabling Federated Learning on Resource-Limited Edge


Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs


Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability


Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks


LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets


Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning


Lotty -- The loop-tree duality automation


Lotus: Serverless In-Transit Data Processing for Edge-based Pub/Sub


Lotus: learning-based online thermal and latency variation management for two-stage detectors on edge devices


LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table


Loupe: Driving the Development of OS Compatibility Layers


Love Me, Love Me, Say (and Write!) that You Love Me: Enriching the WASABI Song Corpus with Lyrics Annotations


Low Complexity Channel estimation with Neural Network Solutions


Low Complexity Hybrid Beamforming for mmWave Full-Duplex Integrated Access and Backhaul


Low Complexity Point Tracking of the Myocardium in 2D Echocardiography


Low Dimensional Convolutional Neural Network For Solar Flares GOES Time Series Classification


Low Dimensional Embedding of Climate Data for Radio Astronomical Site Testing in the Colombian Andes


Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces


Low Emission Building Control with Zero-Shot Reinforcement Learning


Low Fidelity Visuo-Tactile Pretraining Improves Vision-Only Manipulation Performance


Low Field-size, Rate-Optimal Streaming Codes for Channels With Burst and Random Erasures


Low Frequency AC Transmission Upgrades with Optimal Frequency Selection


Low Latency Detection of Massive Black Hole Binaries


Low Latency Time Domain Multichannel Speech and Music Source Separation


Low Light Video Enhancement by Learning on Static Videos with Cross-Frame Attention


Low Mass X-ray Binary Simulation Data Release


Low Precision Decentralized Distributed Training over IID and non-IID Data


Low Rank Factorizations are Indirect Encodings for Deep Neuroevolution


Low Rank Field-Weighted Factorization Machines for Low Latency Item Recommendation


Low Rank Learning for Offline Query Optimization


Low Rank Matrix Approximation for Geometry Filtering


Low Rank Saddle Free Newton: A Scalable Method for Stochastic Nonconvex Optimization


Low Rank plus Sparse Decomposition of ODFs for Improved Detection of Group-level Differences and Variable Correlations in White Matter


Low Rate Protograph-Based LDPC Codes for Continuous Variable Quantum Key Distribution


Low Resource Audio-to-Lyrics Alignment From Polyphonic Music Recordings


Low Sample Complexity Participatory Budgeting


Low Variance Off-policy Evaluation with State-based Importance Sampling


Low Voltage Customer Phase Identification Methods Based on Smart Meter Data


Low cost enhanced security face recognition with stereo cameras


Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemia


Low to High Dimensional Modality Hallucination using Aggregated Fields of View


Low-Autocorrelation Binary Sequences: On Improved Merit Factors and Runtime Predictions to Achieve Them


Low-Budget Simulation-Based Inference with Bayesian Neural Networks


Low-Coherence Sequence Design Under PAPR Constraints


Low-Complexity Acoustic Echo Cancellation with Neural Kalman Filtering


Low-Complexity Acoustic Scene Classification Using Parallel Attention-Convolution Network


Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge


Low-Complexity Blind Parameter Estimation in Wireless Systems with Noisy Sparse Signals


Low-Complexity Distributed XL-MIMO for Multiuser Detection


Low-Complexity Near-Field Localization with XL-MIMO Sectored Uniform Circular Arrays


Low-Complexity Patch-based No-Reference Point Cloud Quality Metric exploiting Weighted Structure and Texture Features


Low-Complexity Precoding for Extremely Large-Scale MIMO Over Non-Stationary Channels


Low-Complexity Probing via Finding Subnetworks


Low-Complexity Sum-Capacity Maximization for Intelligent Reflecting Surface-Aided MIMO Systems


Low-Consumption Partial Transcoding by HEVC


Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation


Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions


Low-Cost Architecture for an Advanced Smart Shower System Using Internet of Things Platform


Low-Cost Compact Theft-Detection System using MPU-6050 and Blynk IoT Platform


Low-Cost Self-Ensembles Based on Multi-Branch Transformation and Grouped Convolution


Low-Cost Tree Crown Dieback Estimation Using Deep Learning-Based Segmentation


Low-Count X-ray Polarimetry using the Bayesian Approach Reveals Fast Polarization Angle Variations


Low-Depth Flag-Style Syndrome Extraction for Small Quantum Error-Correction Codes


Low-Dimensional Manifolds Support Multiplexed Integrations in Recurrent Neural Networks


Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses


Low-Dose CT Reconstruction Using Dataset-free Learning


Low-Energy Electron-Track Imaging for a Liquid Argon Time-Projection-Chamber Telescope Concept using Probabilistic Deep Learning


Low-Energy On-Device Personalization for MCUs


Low-Frequency Stabilization of Dielectric Simulation Problems with Conductors and Insulators


Low-Latency Graph Streaming Using Compressed Purely-Functional Trees


Low-Latency Neural Speech Phase Prediction based on Parallel Estimation Architecture and Anti-Wrapping Losses for Speech Generation Tasks


Low-Latency Sequence-to-Sequence Speech Recognition and Translation by Partial Hypothesis Selection


Low-Latency Speech Separation Guided Diarization for Telephone Conversations


Low-Latency Video Anonymization for Crowd Anomaly Detection: Privacy vs. Performance


Low-Latency and Secure Computation Offloading Assisted by Hybrid Relay-Reflecting Intelligent Surface


Low-Level Linguistic Controls for Style Transfer and Content Preservation


Low-Light Hyperspectral Image Enhancement


Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens Datasets


Low-Light Image Enhancement via Generative Perceptual Priors


Low-Light Image Enhancement via Structure Modeling and Guidance


Low-Light Image Enhancement with Normalizing Flow


Low-Light Image Enhancement with Wavelet-based Diffusion Models


Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond


Low-Mass dark matter (in)direct detection with inelastic scattering


Low-Order Flow Reconstruction and Uncertainty Quantification in Disturbed Aerodynamics Using Sparse Pressure Measurements


Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks


Low-Precision Arithmetic for Fast Gaussian Processes


Low-Precision Stochastic Gradient Langevin Dynamics


Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic


Low-Rank Adapting Models for Sparse Autoencoders


Low-Rank Adaption on Transformer-based Oriented Object Detector for Satellite Onboard Processing of Remote Sensing Images


Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning


Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting


Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery


Low-Rank Constraints for Fast Inference in Structured Models


Low-Rank Continual Personalization of Diffusion Models


Low-Rank Expectile Representations of a Data Matrix, with Application to Diurnal Heart Rates


Low-Rank Factorization for Rank Minimization with Nonconvex Regularizers


Low-Rank Hankel Tensor Completion for Traffic Speed Estimation


Low-Rank Interconnected Adaptation across Layers


Low-Rank Matrix Recovery from Row-and-Column Affine Measurements


Low-Rank Modular Reinforcement Learning via Muscle Synergy


Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs


Low-Rank Quantization-Aware Training for LLMs


Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach


Low-Rank Similarity Mining for Multimodal Dataset Distillation


Low-Rank Subspace Override for Unsupervised Domain Adaptation


Low-Rank Subspaces for Unsupervised Entity Linking


Low-Rank Tensor Decomposition-Aided Channel Estimation for Millimeter Wave MIMO-OFDM Systems


Low-Rank Tensors for Multi-Dimensional Markov Models


Low-Rank plus Sparse Decomposition of Covariance Matrices using Neural Network Parametrization


Low-Resolution Self-Attention for Semantic Segmentation


Low-Resource Counterspeech Generation for Indic Languages: The Case of Bengali and Hindi


Low-Resource Court Judgment Summarization for Common Law Systems


Low-Resource Crop Classification from Multi-Spectral Time Series Using Lossless Compressors


Low-Resource Cross-Lingual Adaptive Training for Nigerian Pidgin


Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining


Low-Resource Language Modelling of South African Languages


Low-Resource Language Processing: An OCR-Driven Summarization and Translation Pipeline


Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai Language


Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming


Low-Resource Name Tagging Learned with Weakly Labeled Data


Low-Resource Named Entity Recognition Based on Multi-hop Dependency Trigger


Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations


Low-Resources Project-Specific Code Summarization


Low-Shot Learning for Fictional Claim Verification


Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent


Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation


Low-code LLM: Graphical User Interface over Large Language Models


Low-complexity Attention-based Unsupervised Anomalous Sound Detection exploiting Separable Convolutions and Angular Loss


Low-complexity Near-optimum Symbol Detection Based on Neural Enhancement of Factor Graphs


Low-complexity decentralized algorithm for aggregate load control of thermostatic loads


Low-complexity method for hybrid MPC with local guarantees


Low-complexity subspace-descent over symmetric positive definite manifold


Low-confidence Samples Matter for Domain Adaptation


Low-cost ultrasonic distance measurement in a mechanical resonance experiment


Low-cost, portable, easy-to-use kiosks to facilitate home-cage testing of non-human primates during vision-based behavioral tasks


Low-depth Clifford circuits approximately solve MaxCut


Low-depth Hamiltonian Simulation by Adaptive Product Formula


Low-dimensional Interpretable Kernels with Conic Discriminant Functions for Classification


Low-dimensional controllability of brain networks


Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation


Low-dimensional statistical manifold embedding of directed graphs


Low-dose CT Denoising with Language-engaged Dual-space Alignment


Low-drift Zeeman shifted atomic frequency reference


Low-field magnetic resonance image enhancement via stochastic image quality transfer


Low-latency Perception in Off-Road Dynamical Low Visibility Environments


Low-latency Real-time Voice Conversion on CPU


Low-latency Space-time Supersampling for Real-time Rendering


Low-latency hand gesture recognition with a low resolution thermal imager


Low-level I/O Monitoring for Scientific Workflows


Low-light Image Enhancement Using the Cell Vibration Model


Low-light Image Enhancement via Breaking Down the Darkness


Low-light Stereo Image Enhancement and De-noising in the Low-frequency Information Enhanced Image Space


Low-mass inelastic dark matter direct detection via the Migdal effect


Low-memory stochastic backpropagation with multi-channel randomized trace estimation


Low-order preconditioning of the Stokes equations


Low-power SNN-based audio source localisation using a Hilbert Transform spike encoding scheme


Low-rank Adaptation for Spatio-Temporal Forecasting


Low-rank Dictionary Learning for Unsupervised Feature Selection


Low-rank Matrix Optimization Using Polynomial-filtered Subspace Extraction


Low-rank Parareal: a low-rank parallel-in-time integrator


Low-rank Prompt Interaction for Continual Vision-Language Retrieval


Low-rank State-action Value-function Approximation


Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence


Low-rank extended Kalman filtering for online learning of neural networks from streaming data


Low-rank longitudinal factor regression with application to chemical mixtures


Low-rank nonnegative tensor approximation via alternating projections and sketching


Low-rank optimization on Tucker tensor varieties


Low-rank plus diagonal approximations for Riccati-like matrix differential equations


Low-rank plus sparse trajectory decomposition for direct exoplanet imaging


Low-rank semidefinite programming for the MAX2SAT problem


Low-rank statistical finite elements for scalable model-data synthesis


Low-rank tensor approximations for solving multi-marginal optimal transport problems


Low-rank tensor structure preservation in fractional operators by means of exponential sums


Low-rank-modified Galerkin methods for the Lyapunov equation


Low-resource Bilingual Dialect Lexicon Induction with Large Language Models


Low-resource Neural Machine Translation with Cross-modal Alignment


Low-resource neural machine translation with morphological modeling


Low-scatter galaxy cluster mass proxies for the eROSITA all-sky survey


Low-shot Object Learning with Mutual Exclusivity Bias


Low-shot learning with large-scale diffusion


Low-skilled Occupations Face the Highest Upskilling Pressure


Low-temperature AFM with a microwave cavity optomechanical transducer


Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution


LowDINO -- A Low Parameter Self Supervised Learning Model


LowFER: Low-rank Bilinear Pooling for Link Prediction


LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones


LowResourceEval-2019: a shared task on morphological analysis for low-resource languages


Lower Bounding Ground-State Energies of Local Hamiltonians Through the Renormalization Group


Lower Bounds for Sorting 16, 17, and 18 Elements


Lower Bounds of Functions on Finite Abelian Groups


Lower Bounds on Adversarial Robustness from Optimal Transport


Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries


Lower Bounds on Information Requirements for Causal Network Inference


Lower Bounds on the Expressivity of Recurrent Neural Language Models


Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features


Lower Complexity Adaptation for Empirical Entropic Optimal Transport


Lower Perplexity is Not Always Human-Like


Lower Ricci Curvature for Efficient Community Detection


Lower bound for a fourth-order derivative of first-passage percolation with respect to the environment


Lower bounds for the modified Szpiro ratio


Lower bounds on the rate of convergence for accept-reject-based Markov chains in Wasserstein and total variation distances


Lower-Bounded Proper Losses for Weakly Supervised Classification


Lower-bounds on the Bayesian Risk in Estimation Procedures via $f$-Divergences


Lower-dimensional Limits of Cubic Lovelock Gravity


Lower-dimensional projections of cellular expression improves cell type classification from single-cell RNA sequencing


Lowering Barriers to Entry for Fully-Integrated Custom Payloads on a DJI Matrice


Lowering PyTorch's Memory Consumption for Selective Differentiation


Lowering the Exponential Wall: Accelerating High-Entropy Alloy Catalysts Screening using Local Surface Energy Descriptors from Neural Network Potentials


Lowest Dimensional Portals to SU($N$) Exotics


LqRT: Robust Hypothesis Testing of Location Parameters using Lq-Likelihood-Ratio-Type Test in Python


LuSeg: Efficient Negative and Positive Obstacles Segmentation via Contrast-Driven Multi-Modal Feature Fusion on the Lunar


LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes


Luandri: a Clean Lua Interface to the Indri Search Engine


Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy


LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching


LucidRaster: GPU Software Rasterizer for Exact Order-Independent Transparency


Luck, skill, and depth of competition in games and social hierarchies


LuckyMera: a Modular AI Framework for Building Hybrid NetHack Agents


Lugsail lag windows for estimating time-average covariance matrices


Lumbar spine segmentation in MR images: a dataset and a public benchmark


Lumen Shape Reconstruction using a Soft Robotic Balloon Catheter and Electrical Impedance Tomography


Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models


LumiGauss: Relightable Gaussian Splatting in the Wild


LumiNet: The Bright Side of Perceptual Knowledge Distillation


LumiPath -- Towards Real-time Physically-based Rendering on Embedded Devices


Lumina-Image 2.0: A Unified and Efficient Image Generative Framework


Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers


Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining


Luminosity distance and extinction by submicrometer-sized grains


Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge


Lumos: A Library for Diagnosing Metric Regressions in Web-Scale Applications


Lunar Time Ephemeris LTE440: User Manual


Lunatic Stocks: Moon Phases as Irregular Sampling Features for Pattern Recognition in the Stock Markets


Lung Nodule-SSM: Self-Supervised Lung Nodule Detection and Classification in Thoracic CT Images


Lung Segmentation from Chest X-rays using Variational Data Imputation


Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs


Lung segmentation with NASNet-Large-Decoder Net


Lupa: A Framework for Large Scale Analysis of the Programming Language Usage


Lusifer: LLM-based User SImulated Feedback Environment for online Recommender systems


Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows


LuxEmbedder: A Cross-Lingual Approach to Enhanced Luxembourgish Sentence Embeddings


Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method


LyCon: Lyrics Reconstruction from the Bag-of-Words Using Large Language Models


LyS at SemEval-2024 Task 3: An Early Prototype for End-to-End Multimodal Emotion Linking as Graph-Based Parsing


LyaCoLoRe: Synthetic Datasets for Current and Future Lyman-${\alpha}$ Forest BAO Surveys


LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing


Lyapunov Functions for First-Order Methods: Tight Automated Convergence Guarantees


Lyapunov Stability Analysis of a Mass-Spring system subject to Friction


Lyapunov functions for linear damped wave equations in one-dimensional space with dynamic boundary conditions


Lyapunov-Guided Representation of Recurrent Neural Network Performance


Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability


Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation


Lying Graph Convolution: Learning to Lie for Node Classification Tasks


Lyman-$α$ feedback prevails at Cosmic Dawn: Implications for the first galaxies, stars, and star clusters


LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype


Lyra: A Benchmark for Turducken-Style Code Generation


Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition


Lyra: Orchestrating Dual Correction in Automated Theorem Proving


LyricSIM: A novel Dataset and Benchmark for Similarity Detection in Spanish Song LyricS


LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT


Lyrics-Based Music Genre Classification Using a Hierarchical Attention Network


M$^2$AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding


M$^2$DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer


M$^2$DQN: A Robust Method for Accelerating Deep Q-learning Network


M$^2$FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness


M$^2$S-Net: Multi-Modal Similarity Metric Learning based Deep Convolutional Network for Answer Selection


M$^3$-Impute: Mask-guided Representation Learning for Missing Value Imputation


M$^3$Care: Learning with Missing Modalities in Multimodal Healthcare Data


M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought


M$^3$Fair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting Method


M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation


M$^3$Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection


M$^3$PC: Test-time Model Predictive Control for Pretrained Masked Trajectory Model


M$^3$RL: Mind-aware Multi-agent Management Reinforcement Learning


M$^3$ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design


M$^3$amba: CLIP-driven Mamba Model for Multi-modal Remote Sensing Classification


M$^3$oralBench: A MultiModal Moral Benchmark for LVLMs


M$^4$oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts


M$^{2}$Chat: Empowering VLM for Multimodal LLM Interleaved Text-Image Generation


M$^{3}$-20M: A Large-Scale Multi-Modal Molecule Dataset for AI-driven Drug Design and Discovery


M$^{3}$D: A Multimodal, Multilingual and Multitask Dataset for Grounded Document-level Information Extraction


M&M VTO: Multi-Garment Virtual Try-On and Editing


M&M3D: Multi-Dataset Training and Efficient Network for Multi-view 3D Object Detection


M(otion)-mode Based Prediction of Ejection Fraction using Echocardiograms


M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis


M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning


M-Adapter: Modality Adaptation for End-to-End Speech-to-Text Translation


M-BEV: Masked BEV Perception for Robust Autonomous Driving


M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps


M-EBM: Towards Understanding the Manifolds of Energy-Based Models


M-ENIAC: A machine learning recreation of the first successful numerical weather forecasts


M-FAC: Efficient Matrix-Free Approximations of Second-Order Information


M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization


M-FUSE: Multi-frame Fusion for Scene Flow Estimation


M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation


M-LVC: Multiple Frames Prediction for Learned Video Compression


M-MAD: Multidimensional Multi-Agent Debate Framework for Fine-grained Machine Translation Evaluation


M-MELD: A Multilingual Multi-Party Dataset for Emotion Recognition in Conversations


M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering


M-SCAN: A Multistage Framework for Lumbar Spinal Canal Stenosis Grading Using Multi-View Cross Attention


M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks


M-VAD Names: a Dataset for Video Captioning with Naming


M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation


M18K: A Comprehensive RGB-D Dataset and Benchmark for Mushroom Detection and Instance Segmentation


M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models


M2-Encoder: Advancing Bilingual Image-Text Understanding by Large-scale Efficient Pretraining


M2-Net: Multi-stages Specular Highlight Detection and Removal in Multi-scenes


M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion


M2A: Motion Aware Attention for Accurate Video Action Recognition


M2C: Towards Automatic Multimodal Manga Complement


M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames Classification


M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation


M2D2: A Massively Multi-domain Language Modeling Dataset


M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal Aspect-based Sentiment Analysis


M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation


M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems


M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations


M2HF: Multi-level Multi-modal Hybrid Fusion for Text-Video Retrieval


M2MRF: Many-to-Many Reassembly of Features for Tiny Lesion Segmentation in Fundus Images


M2ORT: Many-To-One Regression Transformer for Spatial Transcriptomics Prediction from Histopathology Images


M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images


M2QA: Multi-domain Multilingual Question Answering


M2S-RoAD: Multi-Modal Semantic Segmentation for Road Damage Using Camera and LiDAR Data


M2SA: Multimodal and Multilingual Model for Sentiment Analysis of Tweets


M2oE: Multimodal Collaborative Expert Peptide Model


M3-AGIQA: Multimodal, Multi-Round, Multi-Aspect AI-Generated Image Quality Assessment


M3-Jepa: Multimodal Alignment via Multi-directional MoE based on the JEPA framework


M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval


M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities


M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extraction


M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark


M3D-VTON: A Monocular-to-3D Virtual Try-On Network


M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models


M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy


M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction


M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts


M3DSSD: Monocular 3D Single Stage Object Detector


M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers


M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database


M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models


M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System


M3GIA: A Cognition Inspired Multilingual and Multimodal General Intelligence Ability Benchmark


M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought


M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference


M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models


M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data


M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving


M3PT: A Transformer for Multimodal, Multi-Party Social Signal Prediction with Person-aware Blockwise Attention


M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation


M3TR: A Generalist Model for Real-World HD Map Completion


M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework


M4-SAR: A Multi-Resolution, Multi-Polarization, Multi-Scene, Multi-Source Dataset and Benchmark for Optical-SAR Fusion Object Detection


M4: Multi-Proxy Multi-Gate Mixture of Experts Network for Multiple Instance Learning in Histopathology Image Analysis


M4Depth: Monocular depth estimation for autonomous vehicles in unseen environments


M4Fog: A Global Multi-Regional, Multi-Modal, and Multi-Stage Dataset for Marine Fog Detection and Forecasting to Bridge Ocean and Atmosphere


M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection


M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models


M4U: Evaluating Multilingual Understanding and Reasoning for Large Multimodal Models


MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning


MA-AVT: Modality Alignment for Parameter-Efficient Audio-Visual Transformers


MA-COIR: Leveraging Semantic Search Index and Generative Models for Ontology-Driven Biomedical Concept Recognition


MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning


MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications


MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding


MA-LoT: Multi-Agent Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving


MA-RECON: Mask-aware deep-neural-network for robust fast MRI k-space interpolation


MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions


MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation


MA-VAE: Multi-head Attention-based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-series Applied to Automotive Endurance Powertrain Testing


MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning


MAAD-Face: A Massively Annotated Attribute Dataset for Face Images


MAAS: Multi-modal Assignation for Active Speaker Detection


MAAT: Mamba Adaptive Anomaly Transformer with association discrepancy for time series


MAATS: A Multi-Agent Automated Translation System Based on MQM Evaluation


MABNet: Master Assistant Buddy Network with Hybrid Learning for Image Retrieval


MABSplit: Faster Forest Training Using Multi-Armed Bandits


MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior


MAC Address De-Randomization Using Multi-Channel Sniffers and Two-Stage Clustering


MAC-Ego3D: Multi-Agent Gaussian Consensus for Real-Time Collaborative Ego-Motion and Photorealistic 3D Reconstruction


MAC-Lookup: Multi-Axis Conditional Lookup Model for Underwater Image Enhancement


MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization


MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction


MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL


MAC: An Efficient Gradient Preconditioning using Mean Activation Approximated Curvature


MACARONS: A Modular and Open-Sourced Automation System for Vertical Farming


MACAROON: Training Vision-Language Models To Be Your Engaged Partners


MACAW: A Causal Generative Model for Medical Imaging


MACE: A Machine learning Approach to Chemistry Emulation


MACE: Leveraging Audio for Evaluating Audio Captioning Systems


MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks


MACER: A Modular Framework for Accelerated Compilation Error Repair


MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius


MACEst: The reliable and trustworthy Model Agnostic Confidence Estimator


MACFE: A Meta-learning and Causality Based Feature Engineering Framework


MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems


MACP: Efficient Model Adaptation for Cooperative Perception


MACQ: A Holistic View of Model Acquisition Techniques


MACSum: Controllable Summarization with Mixed Attributes


MACT: Model-Agnostic Cross-Lingual Training for Discourse Representation Structure Parsing


MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection


MAD-EN: Microarchitectural Attack Detection through System-wide Energy Consumption


MAD-FC: A Fold Change Visualization with Readability, Proportionality, and Symmetry


MAD-ICP: It Is All About Matching Data -- Robust and Informed LiDAR Odometry


MAD: A Magnitude And Direction Policy Parametrization for Stability Constrained Reinforcement Learning


MAD: Multi-Alignment MEG-to-Text Decoding


MADAR: Efficient Continual Learning for Malware Analysis with Diversity-Aware Replay


MADE-for-ASD: A Multi-Atlas Deep Ensemble Network for Diagnosing Autism Spectrum Disorder


MADE: Exploration via Maximizing Deviation from Explored Regions


MADGEN: Mass-Spec attends to De Novo Molecular generation


MADNESS Deblender: Maximum A posteriori with Deep NEural networks for Source Separation


MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer


MADWAVE3: a quantum time dependent wave packet code for nonadiabatic state-to-state reaction dynamics of triatomic systems


MADation: Face Morphing Attack Detection with Foundation Models


MAE-AST: Masked Autoencoding Audio Spectrogram Transformer


MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition


MAEDAY: MAE for few and zero shot AnomalY-Detection


MAEVI: Motion Aware Event-Based Video Frame Interpolation


MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models


MAF: Multimodal Alignment Framework for Weakly-Supervised Phrase Grounding


MAFA: Managing False Negatives for Vision-Language Pre-training


MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification


MAFcounter: An efficient tool for counting the occurrences of k-mers in MAF files


MAFin: Motif Detection in Multiple Alignment Files


MAG-SQL: Multi-Agent Generative Approach with Soft Schema Linking and Iterative Sub-SQL Refinement for Text-to-SQL


MAG: A Multilingual, Knowledge-base Agnostic and Deterministic Entity Linking Approach


MAGAN: Margin Adaptation for Generative Adversarial Networks


MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models


MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Deep Neural Networks


MAGE: A Multi-Agent Engine for Automated RTL Code Generation


MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis


MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation


MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces


MAGI-1: Autoregressive Video Generation at Scale


MAGIC-TBR: Multiview Attention Fusion for Transformer-based Bodily Behavior Recognition in Group Settings


MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning


MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL


MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier


MAGIC: Meta-Ability Guided Interactive Chain-of-Distillation for Effective-and-Efficient Vision-and-Language Navigation


MAGIC: Microlensing Analysis Guided by Intelligent Computation


MAGIC: Modular Auto-encoder for Generalisable Model Inversion with Bias Corrections


MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases


MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets


MAGMA -- Multimodal Augmentation of Generative Models through Adapter-based Finetuning


MAGMA: Inference and Prediction with Multi-Task Gaussian Processes


MAGNET: an open-source library for mesh agglomeration by Graph Neural Networks


MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations


MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation


MAGNeto: An Efficient Deep Learning Method for the Extractive Tags Summarization Problem


MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI


MAGORINO: Magnitude-only fat fraction and R2* estimation with Rician noise modelling


MAGPIE: Machine Automated General Performance Improvement via Evolution of Software


MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions


MAGPIE: Multilevel-Adaptive-Guided Solver for Ptychographic Phase Retrieval


MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment


MAGRATHEA: an open-source spherical symmetric planet interior structure code


MAGREF: Masked Guidance for Any-Reference Video Generation


MAGVIT: Masked Generative Video Transformer


MAGVLT: Masked Generative Vision-and-Language Transformer


MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations


MAHTM: A Multi-Agent Framework for Hierarchical Transactive Microgrids


MAINS: A Magnetic Field Aided Inertial Navigation System for Indoor Positioning


MAIR: A Massive Benchmark for Evaluating Instructed Retrieval


MAIRA-2: Grounded Radiology Report Generation


MAISE: Construction of neural network interatomic models and evolutionary structure optimization


MAKIEval: A Multilingual Automatic WiKidata-based Framework for Cultural Awareness Evaluation for LLMs


MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance


MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models


MALI: A memory efficient and reverse accurate integrator for Neural ODEs


MALIBO: Meta-learning for Likelihood-free Bayesian Optimization


MALIGN: Explainable Static Raw-byte Based Malware Family Classification using Sequence Alignment


MALM: Mask Augmentation based Local Matching for Food-Recipe Retrieval


MALOnt: An Ontology for Malware Threat Intelligence


MALPOLON: A Framework for Deep Species Distribution Modeling


MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation


MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning


MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration


MAMA: Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning


MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning


MAMBO -- An empirical galaxy and AGN mock catalogue for the exploitation of future surveys


MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world models


MAMMAL -- Molecular Aligned Multi-Modal Architecture and Language


MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki


MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation


MANBench: Is Your Multimodal Model Smarter than Human?


MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities


MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models


MANGO: A Python Library for Parallel Hyperparameter Tuning


MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus Ranking


MANNER: Multi-view Attention Network for Noise Erasure


MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts


MANSY: Generalizing Neural Adaptive Immersive Video Streaming With Ensemble and Representation Learning


MANTA-Ray: Supercharging Speeds for Calculating the Optical Properties of Fractal Aggregates in the Long-Wavelength Limit


MANTIS: Detection of Zero-Day Malicious Domains Leveraging Low Reputed Hosting Infrastructure


MANTIS: Interleaved Multi-Image Instruction Tuning


MANTRA: A Machine Learning reference lightcurve dataset for astronomical transient event recognition


MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction


MANTRA: The Manifold Triangulations Assemblage


MANet: Improving Video Denoising with a Multi-Alignment Network


MAO: Efficient Model-Agnostic Optimization of Prompt Tuning for Vision-Language Models


MAOMaps: A Photo-Realistic Benchmark For vSLAM and Map Merging Quality Assessment


MAP the Blockchain World: A Trustless and Scalable Blockchain Interoperability Protocol for Cross-chain Applications


MAP-Elites based Hyper-Heuristic for the Resource Constrained Project Scheduling Problem


MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series


MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery


MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks


MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction


MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation


MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection


MAP: Multi-user Personalization with Collaborative LLM-powered Agents


MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model


MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers


MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning


MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding


MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report


MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale


MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection


MAPL: Model Agnostic Peer-to-peer Learning


MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting


MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning


MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings


MAPLES-DR: MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy


MAPO: Advancing Multilingual Reasoning through Multilingual Alignment-as-Preference Optimization


MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage


MAPPING: Model Average with Post-processing for Stroke Lesion Segmentation


MAPPO-PIS: A Multi-Agent Proximal Policy Optimization Method with Prior Intent Sharing for CAVs' Cooperative Decision-Making


MAPPRAISER: A massively parallel map-making framework for multi-kilo pixel CMB experiments


MAPS-KB: A Million-scale Probabilistic Simile Knowledge Base


MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving


MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection


MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling


MAPTree: Beating "Optimal" Decision Trees with Bayesian Decision Trees


MAPX: An explainable model-agnostic framework for the detection of false information on social media networks


MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor Classification


MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty


MAR: Masked Autoencoders for Efficient Action Recognition


MARBLE: Music Audio Representation Benchmark for Universal Evaluation


MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization


MARF: The Medial Atom Ray Field Object Representation


MARFA: an Effective Line-by-line Tool For Calculating Molecular Absorption in Planetary Atmospheres


MARFT: Multi-Agent Reinforcement Fine-Tuning


MARG: Multi-Agent Review Generation for Scientific Papers


MARGE: Improving Math Reasoning for LLMs with Guided Exploration


MARINA: Faster Non-Convex Distributed Learning with Compression


MARINE: A Computer Vision Model for Detecting Rare Predator-Prey Interactions in Animal Videos


MARIO: MAth Reasoning with code Interpreter Output -- A Reproducible Pipeline


MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning


MARIO: Modular and Extensible Architecture for Computing Visual Statistics in RoboCup SPL


MARIOH: Multiplicity-Aware Hypergraph Reconstruction


MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response


MARL: Multi-scale Archetype Representation Learning for Urban Building Energy Modeling


MARLIN: Masked Autoencoder for facial video Representation LearnINg


MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge


MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library


MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library


MARMOT: A Deep Learning Framework for Constructing Multimodal Representations for Vision-and-Language Tasks


MARPLE: A Benchmark for Long-Horizon Inference


MARS: A neurosymbolic approach for interpretable drug discovery


MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving


MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation Dataset


MARS: Markov Molecular Sampling for Multi-objective Drug Discovery


MARS: Mask Attention Refinement with Sequential Quadtree Nodes for Car Damage Instance Segmentation


MARS: Masked Automatic Ranks Selection in Tensor Decompositions


MARS: Matching Attribute-aware Representations for Text-based Sequential Recommendation


MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs


MARS: Meta-Learning as Score Matching in the Function Space


MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis


MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation


MARS: Multi-sample Allocation through Russian roulette and Splitting


MARS: Multimodal Active Robotic Sensing for Articulated Characterization


MARS: Paying more attention to visual attributes for text-based person search


MARSIM: A light-weight point-realistic simulator for LiDAR-based UAVs


MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning


MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction


MARTINI: Mock Array Radio Telescope Interferometry of the Neutral ISM