MTTN: Multi-Pair Text to Text Narratives for Prompt Generation


MTTrans: Cross-Domain Object Detection with Mean-Teacher Transformer


MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models


MTU-Net: Multi-level TransUNet for Space-based Infrared Tiny Ship Detection


MTVCrafter: 4D Motion Tokenization for Open-World Human Image Animation


MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation


MTVNet: Mapping using Transformers for Volumes -- Network for Super-Resolution with Long-Range Interactions


MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering


MTVR: Multilingual Moment Retrieval in Videos


MTevent: A Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object Detection


MToP: A MATLAB Optimization Platform for Evolutionary Multitasking


MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning


MU-GAN: Facial Attribute Editing based on Multi-attention Mechanism


MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstruction


MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion Segmentation


MUD: Towards a Large-Scale and Noise-Filtered UI Dataset for Modern Style UI Modeling


MUDI: A Multimodal Biomedical Dataset for Understanding Pharmacodynamic Drug-Drug Interactions


MUFIN: Improving Neural Repair Models with Back-Translation


MUG-Eval: A Proxy Evaluation Framework for Multilingual Generation Capabilities in Any Language


MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration


MUGL: Large Scale Multi Person Conditional Action Generation with Locomotion


MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval


MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection


MULLER: Multilayer Laplacian Resizer for Vision


MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square


MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning


MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks


MULTISEM at SemEval-2020 Task 3: Fine-tuning BERT for Lexical Meaning


MULTITAT: Benchmarking Multilingual Table-and-Text Question Answering


MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark


MUNBa: Machine Unlearning via Nash Bargaining


MUQUT: Multi-Constraint Quantum Circuit Mapping on Noisy Intermediate-Scale Quantum Computers


MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data


MUREL: Multimodal Relational Reasoning for Visual Question Answering


MURI: High-Quality Instruction Tuning Datasets for Low-Resource Languages via Reverse Instructions


MURP: Multi-Agent Ultra-Wideband Relative Pose Estimation with Constrained Communications in 3D Environments


MURPHY -- A scalable multiresolution framework for scientific computing on 3D block-structured collocated grids


MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL


MUS-CDB: Mixed Uncertainty Sampling with Class Distribution Balancing for Active Annotation in Aerial Object Detection


MUSAR: Exploring Multi-Subject Customization from Single-Subject Dataset via Attention Routing


MUSE sneaks a peek at extreme ram-pressure stripping events -- V. Towards a complete view of the galaxy cluster A1367


MUSE: Flexible Voiceprint Receptive Fields and Multi-Path Fusion Enhanced Taylor Transformer for U-Net-based Speech Enhancement


MUSE: Mamba is Efficient Multi-scale Learner for Text-video Retrieval


MUSE: Modularizing Unsupervised Sense Embeddings


MUSE: Textual Attributes Guided Portrait Painting Generation


MUSEFood: Multi-sensor-based Food Volume Estimation on Smartphones


MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding


MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection


MUSER: A Multi-View Similar Case Retrieval Dataset


MUSES: 3D-Controllable Image Generation via Multi-Modal Agent Collaboration


MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty


MUSIED: A Benchmark for Event Detection from Multi-Source Heterogeneous Informal Texts


MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes


MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases


MUST&P-SRL: Multi-lingual and Unified Syllabification in Text and Phonetic Domains for Speech Representation Learning


MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality


MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks


MUST: The First Dataset and Unified Framework for Multispectral UAV Single Object Tracking


MUSTANG: Multi-Stain Self-Attention Graph Multiple Instance Learning Pipeline for Histopathology Whole Slide Images


MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data


MUSTER: Longitudinal Deformable Registration by Composition of Consecutive Deformations


MUSt3R: Multi-view Network for Stereo 3D Reconstruction


MUTE-SLAM: Real-Time Neural SLAM with Multiple Tri-Plane Hash Representations


MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries


MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis


MUVO: A Multimodal World Model with Spatial Representations for Autonomous Driving


MUX-PLMs: Data Multiplexing for High-throughput Language Models


MUXConv: Information Multiplexing in Convolutional Neural Networks


MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval


MV-CC: Mask Enhanced Video Model for Remote Sensing Change Caption


MV-CLAM: Multi-View Molecular Interpretation with Cross-Modal Projection via Language Model


MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training


MV-MOS: Multi-View Feature Fusion for 3D Moving Object Segmentation


MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillation


MV-Map: Offboard HD-Map Generation with Multi-view Consistency


MV-Match: Multi-View Matching for Domain-Adaptive Identification of Plant Nutrient Deficiencies


MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation


MV-Swin-T: Mammogram Classification with Multi-view Swin Transformer


MV-VTON: Multi-View Virtual Try-On with Diffusion Models


MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results


MVAM: Multi-variant Attacks on Memory for IoT Trust Computing


MVANet: Multi-Stage Video Attention Network for Sound Event Localization and Detection with Source Distance Estimation


MVAR: Visual Autoregressive Modeling with Scale and Spatial Markovian Conditioning


MVCNet: Multi-View Contrastive Network for Motor Imagery Classification


MVCTrack: Boosting 3D Point Cloud Tracking via Multimodal-Guided Virtual Cues


MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion


MVF Designer: Design and Visualization of Morse Vector Fields


MVGS: Multi-view-regulated Gaussian Splatting for Novel View Synthesis


MVGenMaster: Scaling Multi-View Generation from Any Image via 3D Priors Enhanced Diffusion Model


MVM3Det: A Novel Method for Multi-view Monocular 3D Detection


MVMR: A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors


MVMS-RCN: A Dual-Domain Unfolding CT Reconstruction with Multi-sparse-view and Multi-scale Refinement-correction


MVMTnet: A Multi-variate Multi-modal Transformer for Multi-class Classification of Cardiac Irregularities Using ECG Waveforms and Clinical Notes


MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture


MVOC: a training-free multiple video object composition method with diffusion models


MVP-Bench: Can Large Vision--Language Models Conduct Multi-level Visual Perception Like Humans?


MVP: Multi-source Voice Pathology detection


MVPBT: R package for publication bias tests in meta-analysis of diagnostic accuracy studies


MVPTR: Multi-Level Semantic Alignment for Vision-Language Pre-Training via Multi-Stage Learning


MVPbev: Multi-view Perspective Image Generation from BEV with Test-time Controllability and Generalizability


MVPipe: Enabling Lightweight Updates and Fast Convergence in Hierarchical Heavy Hitter Detection


MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context


MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions


MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps


MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo


MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based Depth


MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo


MVSTER: Epipolar Transformer for Efficient Multi-View Stereo


MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views


MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images


MVTN: A Multiscale Video Transformer Network for Hand Gesture Recognition


MVTN: Multi-View Transformation Network for 3D Shape Recognition


MVUDA: Unsupervised Domain Adaptation for Multi-view Pedestrian Detection


MViTv2: Improved Multiscale Vision Transformers for Classification and Detection


MWE as WSD: Solving Multiword Expression Identification with Word Sense Disambiguation


MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers


MWIRSTD: A MWIR Small Target Detection Dataset


MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving


MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving


MX-Font++: Mixture of Heterogeneous Aggregation Experts for Few-shot Font Generation


MXR-U-Nets for Real Time Hyperspectral Reconstruction


MYRiAD: A Multi-Array Room Acoustic Database


M^2ConceptBase: A Fine-Grained Aligned Concept-Centric Multimodal Knowledge Base


M^4I: Multi-modal Models Membership Inference


MaCLR: Motion-aware Contrastive Learning of Representations for Videos


MaCow: Masked Convolutional Generative Flow


MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning


MaDiNet: Mamba Diffusion Network for SAR Target Detection


MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models


MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining


MaIL: Improving Imitation Learning with Mamba


MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration


MaLAware: Automating the Comprehension of Malicious Software Behaviours using Large Language Models (LLMs)


MaLP: Manipulation Localization Using a Proactive Scheme


MaLei at the PLABA Track of TAC-2024: RoBERTa for Task 1 -- LLaMA3.1 and GPT-4o for Task 2


MaMIMO CSI-based positioning using CNNs: Peeking inside the black box


MaMaDroid2.0 -- The Holes of Control Flow Graphs


MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation


MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension


MaRF: Representing Mars as Neural Radiance Fields


MaRGA: a Graphical and Application Interface for MaRCoS


MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby References


MaSS13K: A Matting-level Semantic Segmentation Benchmark


MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible


MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective


MaSkel: A Model for Human Whole-body X-rays Generation from Human Masking Images


MaTVLM: Hybrid Mamba-Transformer for Efficient Vision-Language Modeling


MaTe3D: Mask-guided Text-based 3D-aware Portrait Editing


MaTrRec: Uniting Mamba and Transformer for Sequential Recommendation


MaViLS, a Benchmark Dataset for Video-to-Slide Alignment, Assessing Baseline Accuracy with a Multimodal Alignment Algorithm Leveraging Speech, OCR, and Visual Features


MaXM: Towards Multilingual Visual Question Answering


Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion


MacBehaviour: An R package for behavioural experimentation on large language models


MacGyver: Are Large Language Models Creative Problem Solvers?


MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space


MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal Control


MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAG


MacST: Multi-Accent Speech Synthesis via Text Transliteration for Accent Conversion


Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration


Macaw: An Extensible Conversational Information Seeking Platform


Machamp: A Generalized Entity Matching Benchmark


Machine Discovery of Partial Differential Equations from Spatiotemporal Data


Machine Explanations and Human Understanding


Machine Generation and Detection of Arabic Manipulated and Fake News


Machine Guided Discovery of Novel Carbon Capture Solvents


Machine Learned Potential for High-Throughput Phonon Calculations of Metal-Organic Frameworks


Machine Learning & Wi-Fi: Unveiling the Path Towards AI/ML-Native IEEE 802.11 Networks


Machine Learning Accelerates Raman Computations from Molecular Dynamics for Materials Science


Machine Learning Algorithms for Detecting Mental Stress in College Students


Machine Learning Approach to Earthquake Rupture Dynamics


Machine Learning Approach towards Quantum Error Mitigation for Accurate Molecular Energetics


Machine Learning Approaches to the Shafarevich-Tate Group of Elliptic Curves


Machine Learning Assisted Orthonormal Basis Selection for Functional Data Analysis


Machine Learning Automation Toolbox (MLaut)


Machine Learning Based Approach to Predict Ductile Damage Model Parameters for Polycrystalline Metals


Machine Learning Based Cyber Attacks Targeting on Controlled Information: A Survey


Machine Learning Based Forward Solver: An Automatic Framework in gprMax


Machine Learning Based IoT Intrusion Detection System: An MQTT Case Study (MQTT-IoT-IDS2020 Dataset)


Machine Learning Based Optimal Design of Fibrillar Adhesives


Machine Learning Benchmarks for the Classification of Equivalent Circuit Models from Electrochemical Impedance Spectra


Machine Learning Calabi-Yau Hypersurfaces


Machine Learning Characterization of Cancer Patients-Derived Extracellular Vesicles using Vibrational Spectroscopies


Machine Learning Classification of Kuiper Belt Populations


Machine Learning Classifiers Do Not Improve the Prediction of Academic Risk: Evidence from Australia


Machine Learning Classifiers for Intermediate Redshift Emission Line Galaxies


Machine Learning Clifford invariants of ADE Coxeter elements


Machine Learning Coarse-Grained Potentials of Protein Thermodynamics


Machine Learning Cryptanalysis of a Quantum Random Number Generator


Machine Learning Design of Perovskite Catalytic Properties


Machine Learning Diffusion Monte Carlo Forces


Machine Learning Discovery of Optimal Quadrature Rules for Isogeometric Analysis


Machine Learning Electroweakino Production


Machine Learning Enabled Discovery of Application Dependent Design Principles for Two-dimensional Materials


Machine Learning Estimation of Maximum Vertical Velocity from Radar


Machine Learning Fairness in House Price Prediction: A Case Study of America's Expanding Metropolises


Machine Learning Featurizations for AI Hacking of Political Systems


Machine Learning Force Fields with Data Cost Aware Training


Machine Learning Framework for Characterizing Processing-Structure Relationship in Block Copolymer Thin Films


Machine Learning Framework for High-Resolution Air Temperature Downscaling Using LiDAR-Derived Urban Morphological Features


Machine Learning Gravity Compactifications on Negatively Curved Manifolds


Machine Learning Interatomic Potentials with Keras API


Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Autonomous Robots


Machine Learning Message-Passing for the Scalable Decoding of QLDPC Codes


Machine Learning Methods Applied to Cortico-Cortical Evoked Potentials Aid in Localizing Seizure Onset Zones


Machine Learning Methods for Brain Network Classification: Application to Autism Diagnosis using Cortical Morphological Networks


Machine Learning Model of the Swift/BAT Trigger Algorithm for Long GRB Population Studies


Machine Learning Modeling for Multi-order Human Visual Motion Processing


Machine Learning Models for Soil Parameter Prediction Based on Satellite, Weather, Clay and Yield Data


Machine Learning Models that Remember Too Much


Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation


Machine Learning Potentials for Alloys: A Detailed Workflow to Predict Phase Diagrams and Benchmark Accuracy


Machine Learning Prediction of Accurate Atomization Energies of Organic Molecules from Low-Fidelity Quantum Chemical Calculations


Machine Learning Predictions of High-Curie-Temperature Materials


Machine Learning Predictors for Min-Entropy Estimation


Machine Learning Product State Distributions from Initial Reactant States for a Reactive Atom-Diatom Collision System


Machine Learning Renormalization Group for Statistical Physics


Machine Learning Reveals Large-scale Impact of Posidonia Oceanica on Mediterranean Sea Water


Machine Learning Simulates Agent-Based Model Towards Policy


Machine Learning State-of-the-Art with Uncertainties


Machine Learning Techniques for Python Source Code Vulnerability Detection


Machine Learning Toric Duality in Brane Tilings


Machine Learning Workflow to Explain Black-box Models for Early Alzheimer's Disease Classification Evaluated for Multiple Datasets


Machine Learning and Algebraic Approaches towards Complete Matter Spectra in 4d F-theory


Machine Learning and Deep Learning -- A review for Ecologists


Machine Learning and Evolutionary Computing for GUI-based Regression Testing


Machine Learning and Feature Engineering for Predicting Pulse Status during Chest Compressions


Machine Learning and Finite Element Method for Physical Systems Modeling


Machine Learning and Kalman Filtering for Nanomechanical Mass Spectrometry


Machine Learning and System Identification for Estimation in Physical Systems


Machine Learning approach to reconstruct Density Matrices from Quantum Marginals


Machine Learning based Efficient QT-MTT Partitioning Scheme for VVC Intra Encoders


Machine Learning based Pointing Models for Radio/Sub-millimeter Telescopes


Machine Learning based prediction of Glucose Levels in Type 1 Diabetes Patients with the use of Continuous Glucose Monitoring Data


Machine Learning enabled models for YouTube Ranking Mechanism and Views Prediction


Machine Learning for Analyzing Atomic Force Microscopy (AFM) Images Generated from Polymer Blends


Machine Learning for Clinical Predictive Analytics


Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya


Machine Learning for K-adaptability in Two-stage Robust Optimization


Machine Learning for Neuroimaging with Scikit-Learn


Machine Learning for Observables: Reactant to Product State Distributions for Atom-Diatom Collisions


Machine Learning for Online Algorithm Selection under Censored Feedback


Machine Learning for RealisticBall Detection in RoboCup SPL


Machine Learning for Staggered Difference-in-Differences and Dynamic Treatment Effect Heterogeneity


Machine Learning for Two-Sample Testing under Right-Censored Data: A Simulation Study


Machine Learning for Utility Prediction in Argument-Based Computational Persuasion


Machine Learning for maximizing the memristivity of single and coupled quantum memristors


Machine Learning for the identification of phase-transitions in interacting agent-based systems: a Desai-Zwanzig example


Machine Learning in Acoustics: A Review and Open-Source Repository


Machine Learning in Precision Medicine to Preserve Privacy via Encryption


Machine Learning in Space: Surveying the Robustness of on-board ML models to Radiation


Machine Learning in a data-limited regime: Augmenting experiments with synthetic data uncovers order in crumpled sheets


Machine Learning meets Stochastic Geometry: Determinantal Subset Selection for Wireless Networks


Machine Learning of Implicit Combinatorial Rules in Mechanical Metamaterials


Machine Learning of Interstellar Chemical Inventories


Machine Learning of Partial Differential Equations from Noise Data


Machine Learning on Graphs: A Model and Comprehensive Taxonomy


Machine Learning on data with sPlot background subtraction


Machine Learning simulates Agent-Based Model


Machine Learning the 6d Supergravity Landscape


Machine Learning the 6th Dimension: Stellar Radial Velocities from 5D Phase-Space Correlations


Machine Learning to Predict Developmental Neurotoxicity with High-throughput Data from 2D Bio-engineered Tissues


Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters


Machine Learning with Chaotic Strange Attractors


Machine Learning with High-Cardinality Categorical Features in Actuarial Applications


Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell Manufacturing


Machine Learning-Accelerated Multi-Objective Design of Fractured Geothermal Systems


Machine Learning-Based CSI Feedback With Variable Length in FDD Massive MIMO


Machine Learning-Based Completions Sequencing for Well Performance Optimization


Machine Learning-Based Estimation of Monthly GDP


Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling


Machine Learning-Based Prediction of Quality Shifts on Video Streaming Over 5G


Machine Learning-Based Test Smell Detection


Machine Learning-Based Unbalance Detection of a Rotating Shaft Using Vibration Data


Machine Learning-Based mmWave MIMO Beam Tracking in V2I Scenarios: Algorithms and Datasets


Machine Learning-Driven Analytical Models for Threshold Displacement Energy Prediction in Materials


Machine Learning-Enabled Data Rate Prediction for 5G NSA Vehicle-to-Cloud Communications


Machine Learning-Enhanced Aircraft Landing Scheduling under Uncertainties


Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic Chiral Metamaterials


Machine Learning-Powered Combinatorial Clock Auction


Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual Tokens


Machine Mindset: An MBTI Exploration of Large Language Models


Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications


Machine Teaching of Active Sequential Learners


Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models


Machine Translation Models are Zero-Shot Detectors of Translation Direction


Machine Translation Robustness to Natural Asemantic Variation


Machine Translation Testing via Syntactic Tree Pruning


Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting


Machine Translation for Nko: Tools, Corpora and Baseline Results


Machine Translation of Novels in the Age of Transformer


Machine Translation with Cross-lingual Word Embeddings


Machine Unlearning for Document Classification


Machine Unlearning in Generative AI: A Survey


Machine Unlearning in Learned Databases: An Experimental Analysis


Machine Unlearning of Features and Labels


Machine Unlearning of Pre-trained Large Language Models


Machine Unlearning via Null Space Calibration


Machine Vision-Enabled Sports Performance Analysis


Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication


Machine learning Hubbard parameters with equivariant neural networks


Machine learning accelerated discovery of corrosion-resistant high-entropy alloys


Machine learning accelerated particle-in-cell plasma simulations


Machine learning algorithms to infer trait-matching and predict species interactions in ecological networks


Machine learning and atomic layer deposition: predicting saturation times from reactor growth profiles using artificial neural networks


Machine learning and chord based feature engineering for genre prediction in popular Brazilian music


Machine learning and natural language processing models to predict the extent of food processing


Machine learning applications in archaeological practices: a review


Machine learning approach to genome of two-dimensional materials with flat electronic bands


Machine learning approaches for automatic defect detection in photovoltaic systems


Machine learning approaches for localized lockdown during COVID-19: a case study analysis


Machine learning approaches to close the filtered two-fluid model for gas-solid flows: Models for subgrid drag force and solid phase stress


Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat


Machine learning assisted exploration for affine Deligne-Lusztig varieties


Machine learning assisted multiscale modeling of composite phase change materials for Li-ion batteries thermal management


Machine learning assisted tracking of magnetic objects using quantum diamond magnetometry


Machine learning astrophysics from 21 cm lightcones: impact of network architectures and signal contamination


Machine learning attack on copy detection patterns: are 1x1 patterns cloneable?


Machine learning automorphic forms for black holes


Machine learning based lens-free imaging technique for field-portable cytometry


Machine learning based surrogate models for microchannel heat sink optimization


Machine learning classification of non-Markovian noise disturbing quantum dynamics


Machine learning constraints on deviations from general relativity from the large scale structure of the Universe


Machine learning detecting Majorana Zero Mode from Zero Bias Peak measurements


Machine learning dismantling and early-warning signals of disintegration in complex systems


Machine learning emulation of precipitation from km-scale regional climate simulations using a diffusion model


Machine learning enabled multiple illumination quantitative optoacoustic imaging of blood oxygenation in humans


Machine learning enables polymer cloud-point engineering via inverse design


Machine learning enabling high-throughput and remote operations at large-scale user facilities


Machine learning for causal inference: on the use of cross-fit estimators


Machine learning for classifying and interpreting coherent X-ray speckle patterns


Machine learning for exoplanet detection in high-contrast spectroscopy Combining cross correlation maps and deep learning on medium-resolution integral-field spectra


Machine learning for faster and smarter fluorescence lifetime imaging microscopy


Machine learning for potion development at Hogwarts


Machine learning for rapid discovery of laminar flow channel wall modifications that enhance heat transfer


Machine learning for reconstruction of polarity inversion lines from solar filaments


Machine learning for sports betting: should model selection be based on accuracy or calibration?


Machine learning for structure-guided materials and process design


Machine learning formation enthalpies of intermetallics


Machine learning identification of organic compounds using visible light


Machine learning in and out of equilibrium


Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks


Machine learning in physics: a short guide


Machine learning inference of the interior structure of low-mass exoplanets


Machine learning initialization to accelerate Stokes profile inversions


Machine learning meets $\mathfrak{su}(n)$ Lie algebra: Enhancing quantum dynamics learning with exact trace conservation


Machine learning method for single trajectory characterization


Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison


Machine learning methods for the search for L&T brown dwarfs in the data of modern sky surveys


Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity


Machine learning modeling for time series problem: Predicting flight ticket prices


Machine learning models for DOTA 2 outcomes prediction


Machine learning models for daily rainfall forecasting in Northern Tropical Africa using tropical wave predictors


Machine learning of Kondo physics using variational autoencoders and symbolic regression


Machine learning of Markovian embedding for non-Markovian quantum dynamics


Machine learning of continuous and discrete variational ODEs with convergence guarantee and uncertainty quantification


Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification


Machine learning of hidden variables in multiscale fluid simulation


Machine learning of hierarchical clustering to segment 2D and 3D images


Machine learning of microscopic structure-dynamics relationships in complex molecular systems


Machine learning of microstructure--property relationships in materials leveraging microstructure representation from foundational vision transformers


Machine learning of network inference enhancement from noisy measurements


Machine learning on DNA-encoded library count data using an uncertainty-aware probabilistic loss function


Machine learning predictions from unpredictable chaos


Machine learning reveals complex behaviours in optically trapped particles


Machine learning strategies to predict late adverse effects in childhood acute lymphoblastic leukemia survivors


Machine learning synthetic spectra for probabilistic redshift estimation: SYTH-Z


Machine learning techniques to distinguish near-field interference and far-field astrophysical signals in radio telescopes


Machine learning the derivative discontinuity of density-functional theory


Machine learning the dimension of a Fano variety


Machine learning the relationship between Debye temperature and superconducting transition temperature


Machine learning the trilinear and light-quark Yukawa couplings from Higgs pair kinematic shapes


Machine learning topological defects in confluent tissues


Machine learning unveils the linear matter power spectrum of modified gravity


Machine learning using magnetic stochastic synapses


Machine learning using structural representations for discovery of high temperature superconductors


Machine learning-assisted close-set X-ray diffraction phase identification of transition metals


Machine learning-assisted search for novel coagulants: when machine learning can be efficient even if data availability is low


Machine learning-based classification of vector vortex beams


Machine learning-based identification of Gaia astrometric exoplanet orbits


Machine learning-based multiscale constitutive modelling: Development and application to dual-porosity mass transfer


Machine learning-based vorticity evolution and superresolution of homogeneous isotropic turbulence using wavelet projection


Machine vision for vial positioning detection toward the safe automation of material synthesis


Machine-Checked Proofs For Realizability Checking Algorithms


Machine-Generated Text Detection using Deep Learning


Machine-Guided Discovery of a Real-World Rogue Wave Model


Machine-Learned Exclusion Limits without Binning


Machine-Learned Potentials for Solvation Modeling


Machine-Learned Preconditioners for Linear Solvers in Geophysical Fluid Flows


Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment


Machine-Learned Premise Selection for Lean


Machine-Learning Based Objective Function Selection for Community Detection


Machine-Learning Characterization of Intermittency in Relativistic Pair Plasma Turbulence: Single and Double Sheet Structures


Machine-Learning-Based Diagnostics of EEG Pathology


Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes


Machine-assisted discovery of integrable symplectic mappings


Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence


Machine-checked ZKP for NP-relations: Formally Verified Security Proofs and Implementations of MPC-in-the-Head


Machine-directed gravitational-wave counterpart discovery


Machine-generated text detection prevents language model collapse


Machine-in-the-Loop Rewriting for Creative Image Captioning


Machine-learned cloud classes from satellite data for process-oriented climate model evaluation


Machine-learning Repurposing of DrugBank Compounds for Opioid Use Disorder


Machine-learning a virus assembly fitness landscape


Machine-learning approach to identification of coronal holes in solar disk images and synoptic maps


Machine-learning based high-bandwidth magnetic sensing


Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches


Machine-learning parameter tracking with partial state observation


Machine-learning rationalization and prediction of solid-state synthesis conditions


Machine-learning semi-local exchange-correlation functionals for Kohn-Sham density functional theory of the Hubbard model


Machine-learning structural reconstructions for accelerated point defect calculations


Machine-learning-assisted correction of correlated qubit errors in a topological code


Mack-Net model: Blending Mack's model with Recurrent Neural Networks


Macro Grammars and Holistic Triggering for Efficient Semantic Parsing


Macro Graph Neural Networks for Online Billion-Scale Recommender Systems


Macro action selection with deep reinforcement learning in StarCraft


Macro-Average: Rare Types Are Important Too


Macro-Micro Adversarial Network for Human Parsing


Macro-micro decomposition for consistent and conservative model order reduction of hyperbolic shallow water moment equations: A study using POD-Galerkin and dynamical low rank approximation


MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading


Macroeconomic Dynamics in a finite world: the Thermodynamic Potential Approach


Macroscopic effects of an anisotropic Gaussian-type repulsive potential: nematic alignment and spatial effects


Macroscopic properties of equity markets: stylized facts and portfolio performance


MadDog: A Web-based System for Acronym Identification and Disambiguation


MadVoro: Parallel Construction of Voronoi Diagrams in Distributed Memory Systems


Made for Each Other: Broad-coverage Semantic Structures Meet Preposition Supersenses


Made of Steel? Learning Plausible Materials for Components in the Vehicle Repair Domain


Maestro: Uncovering Low-Rank Structures via Trainable Decomposition


MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and Editing


MagMax: Leveraging Model Merging for Seamless Continual Learning


MagNet and "Efficient Defenses Against Adversarial Attacks" are Not Robust to Adversarial Examples


MagNet: A Neural Network for Directed Graphs


MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network


MageBench: Bridging Large Multimodal Models to Agents


MagiCodec: Simple Masked Gaussian-Injected Codec for High-Fidelity Reconstruction and Generation


Magic 1-For-1: Generating One Minute Video Clips within One Minute


Magic ELF: Image Deraining Meets Association Learning and Transformer


Magic Mirror on the Wall, How to Benchmark Quantum Error Correction Codes, Overall ?


Magic Mirror: ID-Preserved Video Generation in Video Diffusion Transformers


Magic State Distillation: Not as Costly as You Think


Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification


Magic-Boost: Boost 3D Generation with Multi-View Conditioned Diffusion


Magic-Me: Identity-Specific Video Customized Diffusion


MagicBathyNet: A Multimodal Remote Sensing Dataset for Bathymetry Prediction and Pixel-based Classification in Shallow Waters


MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing


MagicClay: Sculpting Meshes With Generative Neural Fields


MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding


MagicEraser: Erasing Any Objects via Semantics-Aware Control


MagicEye: An Intelligent Wearable Towards Independent Living of Visually Impaired


MagicFace: High-Fidelity Facial Expression Editing with Action-Unit Control


MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions


MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery


MagicPIG: LSH Sampling for Efficient LLM Generation


MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric Guidance


MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion


MagicQuill: An Intelligent Interactive Image Editing System


MagicStick: Controllable Video Editing via Control Handle Transformations


Magika: AI-Powered Content-Type Detection


Maglev for Dark Matter: Dark-photon and axion dark matter sensing with levitated superconductors


Magma ocean evolution of the TRAPPIST-1 planets


Magma: A Foundation Model for Multimodal AI Agents


Magmatic channelisation by reactive and shear-driven instabilities at mid-ocean ridges: a combined analysis


Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems


Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function


Magnetic Field Evolution of Hot Exoplanets


Magnetic Field Reconstruction for a Realistic Multi-Point, Multi-Scale Spacecraft Observatory


Magnetic Field-Constrained Ensemble Image Segmentation of Coronal Holes in Chromospheric Observations


Magnetic Hysteresis Modeling with Neural Operators


Magnetic Inhibition of Convection and the Fundamental Properties of Low-Mass Stars. III. A Consistent 10 Myr Age for the Upper Scorpius OB Association


Magnetic Moments of Astrophysical Neutrinos


Magnetic control of magnetotactic bacteria swarms


Magnetic excitations, phase diagram and order-by-disorder in the extended triangular-lattice Hubbard model


Magnetic field and kinetic helicity evolution in simulations of interacting disk galaxies


Magnetic phase transitions in quantum spin-orbital liquids


Magnetic properties and quench dynamics of two interacting ultracold molecules


Magnetic properties of the zigzag ladder compound SrTb2O4


Magnetically Driven Relativistic Jet in the High-Redshift Blazar OH~471


Magnetization Transfer-Mediated MR Fingerprinting


Magneto: Combining Small and Large Language Models for Schema Matching


Magnetoencephalography (MEG) Based Non-Invasive Chinese Speech Decoding


Magnetogram-to-Magnetogram: Generative Forecasting of Solar Evolution


Magnetohydrodynamics with Physics Informed Neural Operators


Magnification Bias Estimators for Realistic Surveys: an Application to the BOSS Survey


Magnification Generalization for Histopathology Image Embedding


Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images


Magnification bias in galaxy surveys with complex sample selection functions


Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings


Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation


Magnifier: Detecting Network Access via Lightweight Traffic-based Fingerprints


Magnitude-Corrected and Time-Aligned Interpolation of Head-Related Transfer Functions


Magnitude-squared coherence: A powerful tool for disentangling Doppler planet discoveries from stellar activity


Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing


Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning


Magrathea-Pathfinder: A 3D adaptive-mesh code for geodesic ray tracing in $N$-body simulations


Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization


Mahler measure of polynomials defining genus 2 and 3 curves


Maia-2: A Unified Model for Human-AI Alignment in Chess


Main-sequence star super-flares based on entire Kepler data


MaintainCoder: Maintainable Code Generation Under Dynamic Requirements


Maintainable Log Datasets for Evaluation of Intrusion Detection Systems


Maintaining $k$-MinHash Signatures over Fully-Dynamic Data Streams with Recovery


Maintaining App Services in Disrupted Cities: A Crisis and Resilience Evaluation Tool


Maintaining Common Ground in Dynamic Environments


Maintaining Discrete Probability Distributions in Practice


Maintaining diversity in structured populations


Maintaining human wellbeing as socio-environmental systems undergo regime shifts


MaizeEar-SAM: Zero-Shot Maize Ear Phenotyping


MaizeField3D: A Curated 3D Point Cloud and Procedural Model Dataset of Field-Grown Maize from a Diversity Panel


Major Entity Identification: A Generalizable Alternative to Coreference Resolution


Majorana bound states in a disordered quantum dot chain


Majorana-magnon interactions in topological Shiba chains


Majority Voting with Bidirectional Pre-translation For Bitext Retrieval


Majorization and Inequalities among Complete Homogeneous Symmetric Functions


Majorization-minimization Bregman proximal gradient algorithms for NMF with the Kullback--Leibler divergence


Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module


Make Compound Sentences Simple to Analyze: Learning to Split Sentences for Aspect-based Sentiment Analysis


Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model


Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction


Make Interval Bound Propagation great again


Make It Move: Controllable Image-to-Video Generation with Text Descriptions


Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoning


Make Literature-Based Discovery Great Again through Reproducible Pipelines


Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment


Make Lossy Compression Meaningful for Low-Light Images


Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning


Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives


Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior


Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMs


Make Some Noise: Reliable and Efficient Single-Step Adversarial Training


Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training


Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data


Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided Mask


Make Your Training Flexible: Towards Deployment-Efficient Video Models


Make Your ViT-based Multi-view 3D Detectors Faster via Token Compression


Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation


Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation


Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation


Make yourself comfortable: Nudging urban heat and noise mitigation with smartwatch-based Just-in-time Adaptive Interventions (JITAI)


Make-A-Shape: a Ten-Million-scale 3D Shape Model


Make-Your-Anchor: A Diffusion-based 2D Avatar Generation Framework


MakeSBML: A tool for converting between Antimony and SBML


Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors


MakeupAttack: Feature Space Black-box Backdoor Attack on Face Recognition via Makeup Transfer


Making "fetch" happen: The influence of social and linguistic context on nonstandard word growth and decline


Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models


Making Acoustic Side-Channel Attacks on Noisy Keyboards Viable with LLM-Assisted Spectrograms' "Typo" Correction


Making Adversarial Examples More Transferable and Indistinguishable


Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models


Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks


Making Better Use of Bilingual Information for Cross-Lingual AMR Parsing


Making Cell-Free Massive MIMO Competitive With MMSE Processing and Centralized Implementation


Making Changes in Webpages Discoverable: A Change-Text Search Interface for Web Archives


Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach


Making FETCH! Happen: Finding Emergent Dog Whistles Through Common Habitats


Making Fair ML Software using Trustworthy Explanation


Making Fast Graph-based Algorithms with Graph Metric Embeddings


Making Friends in the Dark: Ad Hoc Teamwork Under Partial Observability


Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets


Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths


Making Language Model a Hierarchical Classifier and Generator


Making Large Language Models Better Data Creators


Making Large Language Models Perform Better in Knowledge Graph Completion


Making Long-Context Language Models Better Multi-Hop Reasoners


Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation


Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction


Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning


Making Paper Reviewing Robust to Bid Manipulation Attacks


Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors


Making Pre-trained Language Models Better Few-shot Learners


Making Pretrained Language Models Good Long-tailed Learners


Making Recommender Systems More Knowledgeable: A Framework to Incorporate Side Information


Making Reliable and Flexible Decisions in Long-tailed Classification


Making Retrieval-Augmented Language Models Robust to Irrelevant Context


Making SMART decisions in prophylaxis and treatment studies


Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature


Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure


Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks


Making Sense of the Current Covid 19 Situation and Suggesting a tailored Release Strategy through Modeling And Simulation Case Study: Casablanca, Morocco


Making Sentence Embeddings Robust to User-Generated Content


Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples


Making Temporal Betweenness Computation Faster and Restless


Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction


Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos


Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach


Making Trotterization adaptive and energy-self-correcting for NISQ devices and beyond


Making Vision Transformers Efficient from A Token Sparsification View


Making Your First Choice: To Address Cold Start Problem in Vision Active Learning


Making a (Counterfactual) Difference One Rationale at a Time


Making a Bird AI Expert Work for You and Me


Making a Case for 3D Convolutions for Object Segmentation in Videos


Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Systems


Making a MIRACL: Multilingual Information Retrieval Across a Continuum of Languages


Making a Network Orchard by Adding Leaves


Making a long story short: A Multi-Importance fast-forwarding egocentric videos with the emphasis on relevant objects


Making deep neural networks right for the right scientific reasons by interacting with their explanations


Making maps of Cosmic Microwave Background polarization for B-mode studies: the POLARBEAR example


Making the Best Use of Review Summary for Sentiment Analysis


Making the Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain Adaptation


Making the Cut: A Bandit-based Approach to Tiered Interviewing


Making the Flow Glow -- Robot Perception under Severe Lighting Conditions using Normalizing Flow Gradients


Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing


Making the most of imprecise measurements: Changing patterns of arsenic concentrations in shallow wells of Bangladesh from laboratory and field data


Making the most of small Software Engineering datasets with modern machine learning


Making the most of your day: online learning for optimal allocation of time


Making transport more robust and interpretable by moving data through a small number of anchor points


Makinote: An FPGA-Based HW/SW Platform for Pre-Silicon Emulation of RISC-V Designs


MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education


MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification


MalGrid: Visualization Of Binary Features In Large Malware Corpora


MalModel: Hiding Malicious Payload in Mobile Deep Learning Models with Black-box Backdoor Attack


MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks


MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification


Malacopula: adversarial automatic speaker verification attacks using a neural-based generalised Hammerstein model


Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems


Malicious Behavior Detection using Windows Audit Logs


Malicious Network Traffic Detection via Deep Learning: An Information Theoretic View


Malla: Demystifying Real-world Large Language Model Integrated Malicious Services


Mallat Scattering Transformation based surrogate for MagnetoHydroDynamics


Malliavin-Mancino estimators implemented with non-uniform fast Fourier transforms


Malware Classification Based on Image Segmentation


Malware Classification Leveraging NLP & Machine Learning for Enhanced Accuracy


Malware Classification using Deep Learning based Feature Extraction and Wrapper based Feature Selection Technique


Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning


Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes


Malware MultiVerse: From Automatic Logic Bomb Identification to Automatic Patching and Tracing


Malware triage for early identification of Advanced Persistent Threat activities


MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations


MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models


MamT$^4$: Multi-view Attention Networks for Mammography Cancer Classification


MambAttention: Mamba with Multi-Head Attention for Generalizable Single-Channel Speech Enhancement


Mamba Capsule Routing Towards Part-Whole Relational Camouflaged Object Detection


Mamba Fusion: Learning Actions Through Questioning


Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation


Mamba Knockout for Unraveling Factual Information Flow


Mamba Meets Financial Markets: A Graph-Mamba Approach for Stock Price Prediction


Mamba as a Bridge: Where Vision Foundation Models Meet Vision Language Models for Domain-Generalized Semantic Segmentation


Mamba in Vision: A Comprehensive Survey of Techniques and Applications


Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need


Mamba time series forecasting with uncertainty quantification


Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges


Mamba-3D as Masked Autoencoders for Accurate and Data-Efficient Analysis of Medical Ultrasound Videos


Mamba-Based Ensemble learning for White Blood Cell Classification


Mamba-Diffusion Model with Learnable Wavelet for Controllable Symbolic Music Generation


Mamba-Enhanced Text-Audio-Video Alignment Network for Emotion Recognition in Conversations


Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning


Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data


Mamba-ST: State Space Model for Efficient Style Transfer


Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation


Mamba-Spike: Enhancing the Mamba Architecture with a Spiking Front-End for Efficient Temporal Data Processing


Mamba-VA: A Mamba-based Approach for Continuous Emotion Recognition in Valence-Arousal Space


Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection


Mamba-based Decoder-Only Approach with Bidirectional Speech Modeling for Speech Recognition


Mamba-based Segmentation Model for Speaker Diarization


Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification


Mamba2D: A Natively Multi-Dimensional State-Space Model for Vision Tasks


Mamba2MIL: State Space Duality Based Multiple Instance Learning for Computational Pathology


Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model


Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space Models


Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration


MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction


MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs


MambaClinix: Hierarchical Gated Convolution and Mamba-Based U-Net for Enhanced 3D Medical Image Segmentation


MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion


MambaEVT: Event Stream based Visual Object Tracking using State Space Model


MambaFlow: A Novel and Flow-guided State Space Model for Scene Flow Estimation


MambaFoley: Foley Sound Generation using Selective State-Space Models


MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection


MambaGlue: Fast and Robust Local Feature Matching With Mamba


MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification


MambaIC: State Space Models for High-Performance Learned Image Compression


MambaLCT: Boosting Tracking via Long-term Context State Space Model


MambaLRP: Explaining Selective State Space Sequence Models


MambaLithium: Selective state space model for remaining-useful-life, state-of-health, and state-of-charge estimation of lithium-ion batteries


MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology


MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image Segmentation


MambaMOS: LiDAR-based 3D Moving Object Segmentation with Motion-aware State Space Model


MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable Registration


MambaNUT: Nighttime UAV Tracking via Mamba-based Adaptive Curriculum Learning


MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba


MambaPainter: Neural Stroke-Based Rendering in a Single Step


MambaPro: Multi-Modal Object Re-Identification with Mamba Aggregation and Synergistic Prompt


MambaRecon: MRI Reconstruction with Structured State Space Models


MambaSOD: Dual Mamba-Driven Cross-Modal Fusion Network for RGB-D Salient Object Detection


MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection


MambaStock: Selective state space model for stock prediction


MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting


MambaTab: A Plug-and-Play Model for Learning Tabular Data


MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models


MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion Segmentation


MambaVC: Learned Visual Compression with Selective State Spaces


MambaVision: A Hybrid Mamba-Transformer Vision Backbone


MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps


Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography


Mammographic Breast Positioning Assessment via Deep Learning


Mamo: a Mathematical Modeling Benchmark with Solvers


Man Made Language Models? Evaluating LLMs' Perpetuation of Masculine Generics Bias


Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition


ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning


Managing Cold-start in The Serverless Cloud with Temporal Convolutional Networks


Managing Data Replication and Distribution in the Fog with FReD


Managing Federated Learning on Decentralized Infrastructures as a Reputation-based Collaborative Workflow


Managing Household Waste through Transfer Learning


Managing Machine Learning Workflow Components


Managing O-RAN Networks: xApp Development from Zero to Hero


Managing Research the Wiki Way: A Systematic Approach to Documenting Research


Managing Wildfire Risk and Promoting Equity through Optimal Configuration of Networked Microgrids


Managing driving modes in automated driving systems


Managing network congestion with a tradable credit scheme: a trip-based MFD approach


Managing power balance and reserve feasibility in the AC unit commitment problem


Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents


Mandolin: A Knowledge Discovery Framework for the Web of Data


Mandoline: Model Evaluation under Distribution Shift


Maneuver-based Anchor Trajectory Hypotheses at Roundabouts


ManeuverGPT Agentic Control for Safe Autonomous Stunt Maneuvers


MangaVQA and MangaLMM: A Benchmark and Specialized Model for Multimodal Manga Understanding


Manhattan Room Layout Reconstruction from a Single 360 image: A Comparative Study of State-of-the-art Methods


ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan Frames


ManiCLIP: Multi-Attribute Face Manipulation from Text


ManiFest: Manifold Deformation for Few-shot Image Translation


ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation


ManiNeg: Manifestation-guided Multimodal Pretraining for Mammography Classification


ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation


ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks


ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation


ManiVault: A Flexible and Extensible Visual Analytics Framework for High-Dimensional Data


Manifold Alignment for Semantically Aligned Style Transfer


Manifold Characteristics That Predict Downstream Task Performance


Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation


Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise


Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces


Manifold GPLVMs for discovering non-Euclidean latent structure in neural data


Manifold Gaussian Variational Bayes on the Precision Matrix


Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images


Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution


Manifold Learning by Mixture Models of VAEs for Inverse Problems


Manifold Learning of Four-dimensional Scanning Transmission Electron Microscopy


Manifold Learning with Normalizing Flows: Towards Regularity, Expressivity and Iso-Riemannian Geometry


Manifold Markov chain Monte Carlo methods for Bayesian inference in diffusion models


Manifold Matching using Shortest-Path Distance and Joint Neighborhood Selection


Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks


Manifold Restricted Interventional Shapley Values


Manifold learning of Poincaré sections reveals the topology of high-dimensional chaotic flows


Manifold lifting: scaling MCMC to the vanishing noise regime


Manifold meta-learning for reduced-complexity neural system identification


Manifold optimization for non-linear optimal transport problems


Manifold regularization with GANs for semi-supervised learning


Manifold-Aware Local Feature Modeling for Semi-Supervised Medical Image Segmentation


Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose


Manifold-Guided Lyapunov Control with Diffusion Models


Manifold-Preserving Transformers are Effective for Short-Long Range Encoding


Manifold-adaptive dimension estimation revisited


Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds


Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification


Manifold-constrained Gaussian process inference for time-varying parameters in dynamic systems


Manifold-regression to predict from MEG/EEG brain signals without source modeling


ManifoldNeRF: View-dependent Image Feature Supervision for Few-shot Neural Radiance Fields


ManifoldNet: A Deep Network Framework for Manifold-valued Data


ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups


Manifoldron: Direct Space Partition via Manifold Discovery


Manifolds for Unsupervised Visual Anomaly Detection


Manikin-Recorded Cardiopulmonary Sounds Dataset Using Digital Stethoscope


ManimML: Communicating Machine Learning Architectures with Animation


ManipVQA: Injecting Robotic Affordance and Physically Grounded Information into Multi-Modal Large Language Models


Maniposynth: Bimodal Tangible Functional Programming


Manipulating Feature Visualizations with Gradient Slingshots


Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN


Manipulating Large Language Models to Increase Product Visibility


Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning


Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures


Manipulating Transfer Learning for Property Inference


Manipulating and Measuring Model Interpretability


Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection


Manipulation of Granular Materials by Learning Particle Interactions


Manipulation-Oriented Object Perception in Clutter through Affordance Coordinate Frames


Manticore: A User-Friendly Symbolic Execution Framework for Binaries and Smart Contracts


Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation


Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification


ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework


Manual Tests Do Smell! Cataloging and Identifying Natural Language Test Smells


Manual2Skill: Learning to Read Manuals and Acquire Robotic Skills for Furniture Assembly Using Vision-Language Models


Manually Annotated Spelling Error Corpus for Amharic


Many Cores, Many Models: GPU Programming Model vs. Vendor Compatibility Overview


Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification


Many Hands Make Light Work: Using Essay Traits to Automatically Score Essays


Many bioinformatics programming tasks can be automated with ChatGPT


Many happy returns: machine learning to support platelet issuing and waste reduction in hospital blood banks


Many processors, little time: MCMC for partitions via optimal transport couplings


Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks


Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy


Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks


Many-MobileNet: Multi-Model Augmentation for Robust Retinal Disease Classification


Many-Objective Evolutionary Influence Maximization: Balancing Spread, Budget, Fairness, and Time


Many-Objective Optimization of Non-Functional Attributes based on Refactoring of Software Models


Many-Shot In-Context Learning in Multimodal Foundation Models


Many-Stage Optimal Stabilized Runge-Kutta Methods for Hyperbolic Partial Differential Equations


Many-body Expansion Based Machine Learning Models for Octahedral Transition Metal Complexes


Many-body quantum sign structures as non-glassy Ising models


Many-core algorithms for high-dimensional gradients on phylogenetic trees


Many-gluon tree amplitudes on modern GPUs: A case study for novel event generators


Many-objective Optimization via Voting for Elites


Many-to-many Splatting for Efficient Video Frame Interpolation


ManyModalQA: Modality Disambiguation and QA over Diverse Inputs


ManyTypes4Py: A Benchmark Python Dataset for Machine Learning-based Type Inference


Mao-Zedong At SemEval-2023 Task 4: Label Represention Multi-Head Attention Model With Contrastive Learning-Enhanced Nearest Neighbor Mechanism For Multi-Label Text Classification


Map Induction: Compositional spatial submap learning for efficient exploration in novel environments


Map-Assisted Remote-Sensing Image Compression at Extremely Low Bitrates


Map-Relative Pose Regression for Visual Re-Localization


Map-based Experience Replay: A Memory-Efficient Solution to Catastrophic Forgetting in Reinforcement Learning


Map-based Modular Approach for Zero-shot Embodied Question Answering


Map-free Visual Relocalization: Metric Pose Relative to a Single Image


MapAI: Precision in Building Segmentation


MapCoder: Multi-Agent Code Generation for Competitive Problem Solving


MapFormer: Boosting Change Detection by Using Pre-change Information


MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks


MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature Wild


MapQA: A Dataset for Question Answering on Choropleth Maps


MapQaTor: An Extensible Framework for Efficient Annotation of Map-Based QA Datasets


MapReader: A Computer Vision Pipeline for the Semantic Exploration of Maps at Scale


MapReduce and Streaming Algorithms for Diversity Maximization in Metric Spaces of Bounded Doubling Dimension


MapSAM: Adapting Segment Anything Model for Automated Feature Detection in Historical Maps


MapTree: Recovering Multiple Solutions in the Space of Maps


MapTune: Advancing ASIC Technology Mapping via Reinforcement Learning Guided Library Tuning


Mapache: a flexible pipeline to map ancient DNA


Maple: A Processing Element for Row-Wise Product Based Sparse Tensor Accelerators


Mapper Comparison with Wasserstein Metrics


Mapping "Brain Terrain" Regions on Mars using Deep Learning


Mapping (Dis-)Information Flow about the MH17 Plane Crash


Mapping Access to Water and Sanitation in Colombia using Publicly Accessible Satellite Imagery, Crowd-sourced Geospatial Information and RandomForests


Mapping Africa Settlements: High Resolution Urban and Rural Map by Deep Learning and Satellite Imagery


Mapping Dengue Vulnerability in Recife, Brazil: Socioeconomic Insights from PCA and Robust Regression


Mapping Galaxy Images Across Ultraviolet, Visible and Infrared Bands Using Generative Deep Learning


Mapping Global Floods with 10 Years of Satellite Radar Data


Mapping Hearthstone Deck Spaces through MAP-Elites with Sliding Boundaries


Mapping Image Transformations Onto Pixel Processor Arrays


Mapping Incidence and Prevalence Peak Data for SIR Forecasting Applications


Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data


Mapping Instructions and Visual Observations to Actions with Reinforcement Learning


Mapping Language to Code in Programmatic Context


Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning


Mapping Memes to Words for Multimodal Hateful Meme Classification


Mapping NVD Records to Their VFCs: How Hard is it?


Mapping Network States Using Connectivity Queries


Mapping New Informal Settlements using Machine Learning and Time Series Satellite Images: An Application in the Venezuelan Migration Crisis


Mapping Research Data at the University of Bologna


Mapping Semantic Segmentation to Point Clouds Using Structure from Motion for Forest Analysis


Mapping Slums with Medium Resolution Satellite Imagery: a Comparative Analysis of Multi-Spectral Data and Grey-level Co-occurrence Matrix Techniques


Mapping Supervised Bilingual Word Embeddings from English to low-resource languages


Mapping Technology Space by Normalizing Patent Networks


Mapping Thermoelectric Transport in a Multicomponent Alloy Space


Mapping Topics in 100,000 Real-life Moral Dilemmas


Mapping Transformer Leveraged Embeddings for Cross-Lingual Document Representation


Mapping Urban Population Growth from Sentinel-2 MSI and Census Data Using Deep Learning: A Case Study in Kigali, Rwanda


Mapping Urban Villages in China: Progress and Challenges


Mapping aids using source location tracking increase novices' performance in programming cyber-physical systems


Mapping and Cleaning Open Commonsense Knowledge Bases with Generative Translation


Mapping conditional distributions for domain adaptation under generalized target shift


Mapping dark matter on the celestial sphere with weak gravitational lensing


Mapping distributional to model-theoretic semantic spaces: a baseline


Mapping effective connectivity by virtually perturbing a surrogate brain


Mapping evolving population geography in China


Mapping graph state orbits under local complementation


Mapping gravity in stellar nurseries -- establishing the effectiveness of 2D acceleration maps


Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes


Mapping intratumoral heterogeneity through PET-derived washout and deep learning after proton therapy


Mapping malaria seasonality: a case study from Madagascar


Mapping mobile service usage diversity in cities


Mapping neutral islands during end stages of reionization with photometric intergalactic medium tomography


Mapping of Land Use and Land Cover (LULC) using EuroSAT and Transfer Learning


Mapping out phase diagrams with generative classifiers


Mapping quantum circuits to modular architectures with QUBO


Mapping the Cosmic Gamma-ray Horizon: The 1CGH Catalogue of Fermi-LAT detections above 10 GeV


Mapping the Diversity of Galaxy Spectra with Deep Unsupervised Machine Learning


Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models


Mapping the Galactic centre's dark cluster via Resonant Relaxation


Mapping the Interstellar Reddening and Extinction towards Baade's Window Using Minimum Light Colors of ab-type RR Lyrae Stars. Revelations from the De-reddened Color-Magnitude Diagrams


Mapping the Media Landscape: Predicting Factual Reporting and Political Bias Through Web Interactions


Mapping the Past: Geographically Linking an Early 20th Century Swedish Encyclopedia with Wikidata


Mapping the Podcast Ecosystem with the Structured Podcast Research Corpus


Mapping the Skies of Ultracool Worlds: Detecting Storms and Spots with Extremely Large Telescopes


Mapping the Space of Chemical Reactions Using Attention-Based Neural Networks


Mapping the Sun's upper photosphere with artificial neural networks


Mapping the Surface of Partially Cloudy Exoplanets is Hard


Mapping the X-ray variability of GRS1915+105 with machine learning


Mapping the exo-Neptunian landscape. A ridge between the desert and savanna


Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides


Mapping the merging zone of late infall in the AB Aur planet-forming system


Mapping the prevalence of cancer risk factors at the small area level in Australia


Mapping the stellar population and gas excitation of MaNGA galaxies with MEGACUBES. Results for AGN versus control sample


Mapping the stereotyped behaviour of freely-moving fruit flies


Mapping to Declarative Knowledge for Word Problem Solving


MarMot: Metamorphic Runtime Monitoring of Autonomous Driving Systems


MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds


MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model


Marathi To English Neural Machine Translation With Near Perfect Corpus And Transformers


Marathon: A Race Through the Realm of Long Context with Large Language Models


March in Chat: Interactive Prompting for Remote Embodied Referring Expression


Marching-Primitives: Shape Abstraction from Signed Distance Function


Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions


Margin Calibration for Long-Tailed Visual Recognition


Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback


Margin Maximization as Lossless Maximal Compression


Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation


Margin of Victory in Tournaments: Structural and Experimental Results


Margin-Aware Intra-Class Novelty Identification for Medical Images


Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation


Margin-bounded Confidence Scores for Out-of-Distribution Detection


MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins


Marginal Causal Flows for Validation and Inference


Marginal Contribution Feature Importance -- an Axiomatic Approach for The Natural Case


Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits


Marginal Inference for Hierarchical Generalized Linear Mixed Models with Patterned Covariance Matrices Using the Laplace Approximation


Marginal Likelihoods from Monte Carlo Markov Chains


Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications


Marginal Tail-Adaptive Normalizing Flows


Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation


Marginal and Conditional Multiple Inference for Linear Mixed Model Predictors


Marginal and total exceedance probabilities of environmental contours


Marginal and training-conditional guarantees in one-shot federated conformal prediction


Marginalised Gaussian Processes with Nested Sampling


Marginalised Normal Regression: Unbiased curve fitting in the presence of x-errors


Marginalising over Stationary Kernels with Bayesian Quadrature


Marginalization of Regression-Adjusted Treatment Effects in Indirect Comparisons with Limited Patient-Level Data


Marginalized Beam Search Algorithms for Hierarchical HMMs


Marginalizing and Conditioning Gaussians onto Linear Approximations of Smooth Manifolds with Applications in Robotics


Marginally calibrated response distributions for end-to-end learning in autonomous driving


Marginally interpretable spatial logistic regression with bridge processes


Maria: A Visual Experience Powered Conversational Agent


Marimba: A Tool for Verifying Properties of Hidden Markov Models


Marine Snow Removal Benchmarking Dataset


Marine Video Kit: A New Marine Video Dataset for Content-based Analysis and Retrieval


Marine spatial planning techniques with a case study on wave-powered offshore aquaculture farms


MarineGPT: Unlocking Secrets of Ocean to the Public


MarioGPT: Open-Ended Text2Level Generation through Large Language Models


MarioNette: Self-Supervised Sprite Learning


Marior: Margin Removal and Iterative Content Rectification for Document Dewarping in the Wild


Mark My Words: Analyzing and Evaluating Language Model Watermarks


MarkQA: A large scale KBQA dataset with numerical reasoning


Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models


Marker and source-marker reprogramming of Most Permissive Boolean networks and ensembles with BoNesis


Marker-Based Extrinsic Calibration Method for Accurate Multi-Camera 3D Reconstruction


MarkerPose: Robust Real-time Planar Target Tracking for Accurate Stereo Pose Estimation


Market Integration Pathways for Enhanced Geothermal Systems in Europe


Market Making via Reinforcement Learning


Market Making with Deep Reinforcement Learning from Limit Order Books


Market Making with Exogenous Competition


Market Potential for CO$_2$ Removal and Sequestration from Renewable Natural Gas Production in California


Market Trend Prediction using Sentiment Analysis: Lessons Learned and Paths Forward


Market regime classification with signatures


Market-Derived Financial Sentiment Analysis: Context-Aware Language Models for Crypto Forecasting


Market-based insurance ratemaking: application to pet insurance


Market2Dish: Health-aware Food Recommendation


Marking Code Without Breaking It: Code Watermarking for Detecting LLM-Generated Code


Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes


Markov Chain Approximations to Stochastic Differential Equations by Recombination on Lattice Trees


Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy


Markov Chain Monte Carlo Significance Tests


Markov Chain Monte Carlo for Bayesian Parametric Galaxy Modeling in LSST


Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients


Markov Decision Processes under Model Uncertainty


Markov Decision Processes with Dynamic Transition Probabilities: An Analysis of Shooting Strategies in Basketball


Markov Process-Based Graph Convolutional Networks for Entity Classification in Knowledge Graphs


Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic Networks


Markov Senior -- Learning Markov Junior Grammars to Generate User-specified Content


Markov Walk Exploration of Model Spaces: Bayesian Selection of Dark Energy Models with Supernovae


Markov chain Monte Carlo algorithms with sequential proposals


Markov chain Monte Carlo population synthesis of single radio pulsars in the Galaxy


Markov chain Monte Carlo without evaluating the target: an auxiliary variable approach


Markov cohort state-transition model: A multinomial distribution representation


Markov modeling for a satellite tag data record of whale diving behavior


Markov switching zero-inflated space-time multinomial models for comparing multiple infectious diseases


Markov-Switching State-Space Models with Applications to Neuroimaging


Markov-bridge generation of transition paths and its application to cell-fate choice


Markov-chain sampling for long-range systems without evaluating the energy


MarkovGNN: Graph Neural Networks on Markov Diffusion


MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems


Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows


Markovian Noise Modelling and Parameter Extraction Framework for Quantum Devices


Markovian Sliced Wasserstein Distances: Beyond Independent Projections


Markovian Transformers for Informative Language Modeling


Markovian multivariate Hawkes population processes: Efficient evaluation of moments


Markowitz Portfolio Construction at Seventy


Markpainting: Adversarial Machine Learning meets Inpainting


Markup-to-Image Diffusion Models with Scheduled Sampling


MarkupLM: Pre-training of Text and Markup Language for Visually-rich Document Understanding


Marmara Turkish Coreference Corpus and Coreference Resolution Baseline


Marrying Autoregressive Transformer and Diffusion with Multi-Reference Autoregression


Marrying Causal Representation Learning with Dynamical Systems for Science


Mars Rover Localization Based on A2G Obstacle Distribution Pattern Matching


Marshall-Olkin Power-Law Distributions in Length-Frequency of Entities


Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders


Martinize2 and Vermouth: Unified Framework for Topology Generation


Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy


MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection


Marvin: Semantic annotation using multiple knowledge sources


MasRouter: Learning to Route LLMs for Multi-Agent Systems


MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing


MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition


MasakhaNER: Named Entity Recognition for African Languages


MasakhaNEWS: News Topic Classification for African languages


MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African Languages


Masala-CHAI: A Large-Scale SPICE Netlist Dataset for Analog Circuits by Harnessing AI


Masculine Defaults via Gendered Discourse in Podcasts and Large Language Models


Mask Combination of Multi-layer Graphs for Global Structure Inference


Mask Conditional Synthetic Satellite Imagery


Mask CycleGAN: Unpaired Multi-modal Domain Translation with Interpretable Latent Variable


Mask Detection and Classification in Thermal Face Images


Mask Editor : an Image Annotation Tool for Image Segmentation Tasks


Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks


Mask Grounding for Referring Image Segmentation


Mask Guided Matting via Progressive Refinement Network


Mask Matching Transformer for Few-Shot Segmentation


Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token


Mask Propagation for Efficient Video Semantic Segmentation


Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting


Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes


Mask Transfiner for High-Quality Instance Segmentation


Mask Wearing Status Estimation with Smartwatches


Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning


Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries


Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder


Mask as Supervision: Leveraging Unified Mask Information for Unsupervised 3D Pose Estimation


Mask prior-guided denoising diffusion improves inverse protein folding


Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge


Mask-Adapter: The Devil is in the Masks for Open-Vocabulary Segmentation


Mask-Align: Self-Supervised Neural Word Alignment


Mask-Based Modeling for Neural Radiance Fields


Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning


Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More


Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation


Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain


Mask-Guided Attention U-Net for Enhanced Neonatal Brain Extraction and Image Preprocessing


Mask-Predict: Parallel Decoding of Conditional Masked Language Models


Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging


Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation


Mask-based Invisible Backdoor Attacks on Object Detection


Mask-conditioned latent diffusion for generating gastrointestinal polyp images


Mask-informed Deep Contrastive Incomplete Multi-view Clustering


Mask-invariant Face Recognition through Template-level Knowledge Distillation


Mask2Hand: Learning to Predict the 3D Hand Pose and Shape from Shadow


Mask4Former: Mask Transformer for 4D Panoptic Segmentation


MaskBEV: Joint Object Detection and Footprint Completion for Bird's-eye View 3D Point Clouds


MaskBit: Embedding-free Image Generation via Bit Tokens


MaskBlur: Spatial and Angular Data Augmentation for Light Field Image Super-Resolution


MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification


MaskCLIP++: A Mask-Based CLIP Fine-tuning Framework for Open-Vocabulary Image Segmentation


MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset


MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation


MaskDiffusion: Exploiting Pre-trained Diffusion Models for Semantic Segmentation


MaskGaussian: Adaptive 3D Gaussian Representation from Probabilistic Masks


MaskIt: Masking for efficient utilization of incomplete public datasets for training deep learning models


MaskLID: Code-Switching Language Identification through Iterative Masking


MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local Reference Frames for Rotation-invariant 3D Point Set Analysis


MaskMTL: Attribute prediction in masked facial images with deep multitask learning


MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations


MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts


MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on Large Language Models


MaskPure: Improving Defense Against Text Adversaries with Stochastic Purification


MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation


MaskSketch: Unpaired Structure-guided Masked Image Generation


MaskTune: Mitigating Spurious Correlations by Forcing to Explore


Masked Angle-Aware Autoencoder for Remote Sensing Images


Masked Attribute Description Embedding for Cloth-Changing Person Re-identification


Masked AutoDecoder is Effective Multi-Task Vision Generalist


Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds


Masked Autoencoders Are Articulatory Learners


Masked Autoencoders Enable Efficient Knowledge Distillers


Masked Autoencoders are Efficient Class Incremental Learners


Masked Autoencoders are Efficient Continual Federated Learners


Masked Autoencoders are Parameter-Efficient Federated Continual Learners


Masked Autoencoders are Robust Data Augmentors


Masked Autoencoders for Egocentric Video Understanding @ Ego4D Challenge 2022


Masked Autoencoders for Point Cloud Self-supervised Learning


Masked Autoencoders for Unsupervised Anomaly Detection in Medical Images


Masked Autoencoders in 3D Point Cloud Representation Learning


Masked Autoencoding for Scalable and Generalizable Decision Making


Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference


Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation


Masked Conditional Neural Networks for Environmental Sound Classification


Masked Contrastive Learning for Anomaly Detection


Masked Contrastive Representation Learning for Reinforcement Learning


Masked Diffusion Models Are Fast Distribution Learners


Masked Diffusion as Self-supervised Representation Learner


Masked Diffusion with Task-awareness for Procedure Planning in Instructional Videos


Masked Distillation with Receptive Tokens


Masked Event Modeling: Self-Supervised Pretraining for Event Cameras


Masked Face Dataset Generation and Masked Face Recognition


Masked Face Inpainting Through Residual Attention UNet


Masked Generative Story Transformer with Character Guidance and Caption Augmentation


Masked Graph Autoencoder with Non-discrete Bandwidths


Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data


Masked Image Modeling as a Framework for Self-Supervised Learning across Eye Movements


Masked Image Modeling with Denoising Contrast


Masked Image Modelling for retinal OCT understanding


Masked Image Residual Learning for Scaling Deeper Vision Transformers


Masked Image Training for Generalizable Deep Image Denoising


Masked Images Are Counterfactual Samples for Robust Fine-tuning


Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers


Masked LARk: Masked Learning, Aggregation and Reporting worKflow


Masked Language Model Based Textual Adversarial Example Detection


Masked Language Models are Good Heterogeneous Graph Generalizers


Masked Latent Transformer with the Random Masking Ratio to Advance the Diagnosis of Dental Fluorosis


Masked Mixers for Language Generation and Retrieval


Masked Modeling for Self-supervised Representation Learning on Vision and Beyond


Masked Motion Predictors are Strong 3D Action Representation Learners


Masked Multi-Query Slot Attention for Unsupervised Object Discovery


Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging?


Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models


Masked Pre-Training of Transformers for Histology Image Analysis


Masked Pre-training Enables Universal Zero-shot Denoiser


Masked Random Noise for Communication Efficient Federated Learning


Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding


Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary Study


Masked Spatial Propagation Network for Sparsity-Adaptive Depth Refinement


Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representation


Masked Spectrogram Prediction For Self-Supervised Audio Pre-Training


Masked Structural Growth for 2x Faster Language Model Pre-training


Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking


Masked Supervised Learning for Semantic Segmentation


Masked Surfel Prediction for Self-Supervised Point Cloud Learning


Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models


Masked Trajectory Models for Prediction, Representation, and Control


Masked Unsupervised Self-training for Label-free Image Classification


Masked Vision-Language Transformer in Fashion


Masked Vision-Language Transformers for Scene Text Recognition


Masked Wavelet Representation for Compact Neural Radiance Fields


Masked adversarial neural network for cell type deconvolution in spatial transcriptomics


Masked and Adaptive Transformer for Exemplar Based Image Translation


Masked and Permuted Implicit Context Learning for Scene Text Recognition


Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping


Masked autoencoders are effective solution to transformer data-hungry


Masked-Attention Diffusion Guidance for Spatially Controlling Text-to-Image Generation


MaskedFusion: Mask-based 6D Object Pose Estimation


Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network


Masking Hyperspectral Imaging Data with Pretrained Models


Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where


Masking Kernel for Learning Energy-Efficient Representations for Speaker Recognition and Mobile Health


Masking Strategies for Background Bias Removal in Computer Vision Models


Masking in Multi-hop QA: An Analysis of How Language Models Perform with Context Permutation


Masking meets Supervision: A Strong Learning Alliance


Masking: A New Perspective of Noisy Supervision


Masks Fusion with Multi-Target Learning For Speech Enhancement


Masks and COVID-19: a causal framework for imputing value to public-health interventions


Mass Estimation in Manipulation Tasks of Domestic Service Robots using Fault Reconstruction Techniques


Mass Exit Attacks on the Lightning Network


Mass diffusion and bending in dynamic wetting by phase-field and sharp interface models


Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge


Mass-Producing Failures of Multimodal Systems with Language Models


Mass-varying Dark Matter from a Phase Transition


MassFormer: Tandem Mass Spectrum Prediction for Small Molecules using Graph Transformers


MassMIND: Massachusetts Maritime INfrared Dataset


Massey products in the étale cohomology of number fields


Massive Access in Media Modulation Based Massive Machine-Type Communications


Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP


Massive Digital Over-the-Air Computation for Communication-Efficient Federated Edge Learning


Massive Editing for Large Language Models via Meta Learning


Massive MIMO Systems with Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits


Massive MIMO for Maximal Spectral Efficiency: How Many Users and Pilots Should Be Allocated?


Massive MIMO in Sub-6 GHz and mmWave: Physical, Practical, and Use-Case Differences


Massive MIMO with Dual-Polarized Antennas


Massive MIMO with Non-Ideal Arbitrary Arrays: Hardware Scaling Laws and Circuit-Aware Design


Massive MIMO with Spatially Correlated Rician Fading Channels


Massive Multi-Omics Microbiome Database (M3DB): A Scalable Data Warehouse and Analytics Platform for Microbiome Datasets


Massive Parallelization of Massive Sample-size Survival Analysis


Massive Stellar Triples Leading to Sequential Binary Black-Hole Mergers in the Field


Massive Styles Transfer with Limited Labeled Data


Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding


Massive three-loop form factors: anomaly contribution


Massive vs. Curated Word Embeddings for Low-Resourced Languages. The Case of Yorùbá and Twi


Massive-STEPS: Massive Semantic Trajectories for Understanding POI Check-ins -- Dataset and Benchmarks


Massive-scale Decoding for Text Generation using Lattices


MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs


Massively Multi-Cultural Knowledge Acquisition & LM Benchmarking


Massively Multi-Person 3D Human Motion Forecasting with Scene Context


Massively Multiagent Minigames for Training Generalist Agents


Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian Languages


Massively Multilingual Neural Grapheme-to-Phoneme Conversion


Massively Parallel Algorithms for Small Subgraph Counting


Massively Parallel Computation of Similarity Matrices from Piecewise Constant Invariants


Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations


Massively Parallel Graph Drawing and Representation Learning


Master integrals for $e^{+}e^{-}\rightarrow2γ$ process at large energies and angles


Master memory function for delay-based reservoir computers with single-variable dynamics


Master of Disaster: A Disaster-Related Event Monitoring System From News Streams


Master regulators as order parameters of gene expression states


Master regulators of evolution and the microbiome in higher dimensions


Master's Thesis : Deep Learning for Visual Recognition


Master's Thesis: Out-of-distribution Detection with Energy-based Models


Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity Constraints


MasterWeaver: Taming Editability and Face Identity for Personalized Text-to-Image Generation


Mastering Chess with a Transformer Model


Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration


Mastering Diverse Domains through World Models


Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer


Mastering Memory Tasks with World Models


Mastering Percolation-like Games with Deep Learning


Mastering Rare Event Analysis: Optimal Subsample Size in Logistic and Cox Regressions


Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks


Mastering Terra Mystica: Applying Self-Play to Multi-agent Cooperative Board Games


Mastering the Craft of Data Synthesis for CodeLLMs


Mastering the Explicit Opinion-role Interaction: Syntax-aided Neural Transition System for Unified Opinion Role Labeling


Mastering the Game of Sungka from Random Play


MastermindEval: A Simple But Scalable Reasoning Benchmark


MatBYIB: A Matlab-based code for Bayesian inference of extreme mass-ratio inspiral binary with arbitrary eccentricity


MatExPre: A matrix exponential preconditioner for the high-frequency Helmholtz equation


MatFuse: Controllable Material Generation with Diffusion Models


MatIR: A Hybrid Mamba-Transformer Image Restoration Model


MatMMFuse: Multi-Modal Fusion model for Material Property Prediction


MatPIM: Accelerating Matrix Operations with Memristive Stateful Logic


MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization


MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects


MatSAM: Efficient Extraction of Microstructures of Materials via Visual Large Model


MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling


MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction


MatSpectNet: Material Segmentation Network with Domain-Aware and Physically-Constrained Hyperspectral Reconstruction


MatSwap: Light-aware material transfers in images


MatText: Do Language Models Need More than Text & Scale for Materials Modeling?


MatTools: Benchmarking Large Language Models for Materials Science Tools


Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions


Match Cutting: Finding Cuts with Smooth Visual Transitions


Match Point AI: A Novel AI Framework for Evaluating Data-Driven Tennis Strategies


Match Them Up: Visually Explainable Few-shot Image Classification


Match me if you can: Semi-Supervised Semantic Correspondence Learning with Unpaired Images


Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching


Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment


Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching