Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning


Match-based solution of general parametric eigenvalue problems


MatchDiffusion: Training-free Generation of Match-cuts


MatchFormer: Interleaving Attention in Transformers for Feature Matching


MatchPlant: An Open-Source Pipeline for UAV-Based Single-Plant Detection and Data Extraction


MatchSeg: Towards Better Segmentation via Reference Image Matching


MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification


MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching


Matchable Image Retrieval by Learning from Surface Reconstruction


Matched sample selection with GANs for mitigating attribute confounding


Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences


Matching Article Pairs with Graphical Decomposition and Convolutions


Matching Criterion for Identifiability in Sparse Factor Analysis


Matching Distance and Geometric Distribution Aided Learning Multiview Point Cloud Registration


Matching Entities Across Different Knowledge Graphs with Graph Embeddings


Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-shot Prompt Learning for Automatic Scoring in Science Education


Matching Features without Descriptors: Implicitly Matched Interest Points


Matching Lagrangian and Hamiltonian Simulations in (2+1)-dimensional U(1) Gauge Theory


Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models


Matching Papers and Reviewers at Large Conferences


Matching Patients to Clinical Trials with Large Language Models


Matching Questions and Answers in Dialogues from Online Forums


Matching Statistics speed up BWT construction


Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning


Matching a Desired Causal State via Shift Interventions


Matching generalised transverse-momentum-dependent distributions onto generalised parton distributions at one loop


Matching matched filtering with deep networks in gravitational-wave astronomy


Matching methods for obtaining survival functions to estimate the effect of a time-dependent treatment


Matching methods for truncation by death problems


Matching on Generalized Propensity Scores with Continuous Exposures


Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels


Matching-based Term Semantics Pre-training for Spoken Patient Query Understanding


Matching-space Stereo Networks for Cross-domain Generalization


MatchingTools: a Python library for symbolic effective field theory calculations


Matchings in Hypercubes Extend to Long Cycles


Matchmaker, Matchmaker, Make Me a Match: Geometric, Variational, and Evolutionary Implications of Criteria for Tag Affinity


Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors


Material Barriers to the Diffusive Magnetic Flux in Magnetohydrodynamics


Material Prediction for Design Automation Using Graph Representation Learning


Material Transforms from Disentangled NeRF Representations


Materialist: Physically Based Editing Using Single-Image Inverse Rendering


Materials Database from All-electron Hybrid Functional DFT Calculations


Materials Discovery with Extreme Properties via Reinforcement Learning-Guided Combinatorial Chemistry


Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey


Materials Matter: Investigating Functional Advantages of Bio-Inspired Materials via Simulated Robotic Hopping


Materials Representation and Transfer Learning for Multi-Property Prediction


Materials Transformers Language Models for Generative Materials Design: a benchmark study


Materials discovery acceleration by using condition generative methodology


Materials property prediction using symmetry-labeled graphs as atomic-position independent descriptors


Materials-Discovery Workflows Guided by Symbolic Regression: Identifying Acid-Stable Oxides for Electrocatalysis


Math Word Problem Solving by Generating Linguistic Variants of Problem Statements


Math-KG: Construction and Applications of Mathematical Knowledge Graph


Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models


Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning


MathArena: Evaluating LLMs on Uncontaminated Math Competitions


MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education


MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark


MathCAMPS: Fine-grained Synthesis of Mathematical Problems From Human Curricula


MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions


MathChat: Converse to Tackle Challenging Math Problems with LLM Agents


MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code


MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems


MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems


MathFusion: Enhancing Mathematic Problem-solving of LLM through Instruction Fusion


MathGR: a tensor and GR computation package to keep it simple


MathGloss: Building mathematical glossaries from text


MathNet: A Data-Centric Approach for Printed Mathematical Expression Recognition


MathOptAI.jl: Embed trained machine learning predictors into JuMP models


MathPile: A Billion-Token-Scale Pretraining Corpus for Math


MathReader : Text-to-Speech for Mathematical Documents


MathScale: Scaling Instruction Tuning for Mathematical Reasoning


MathScape: Evaluating MLLMs in multimodal Math Scenarios through a Hierarchical Benchmark


MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula


MathViz-E: A Case-study in Domain-Specialized Tool-Using Agents


Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models


Mathematical Characterization of Private and Public Immune Repertoire Sequences


Mathematical Construction of Interpolation and Extrapolation Function by Taylor Polynomials


Mathematical Entities: Corpora and Benchmarks


Mathematical Formalized Problem Solving and Theorem Proving in Different Fields in Lean 4


Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory


Mathematical Methods for Assessing the Accuracy of Pre-Planned and Guided Surgical Osteotomies


Mathematical Model of Strong Physically Unclonable Functions Based on Hybrid Boolean Networks


Mathematical Modeling Insights into Improving CAR T cell Therapy for Solid Tumors: Antigen Heterogeneity and Bystander Effects


Mathematical Modeling and Investigation on the Role of Demography and Contact Patterns in Social Distancing Measures Effectiveness in COVID-19 Dissemination


Mathematical Modeling and Machine Learning for Predicting Shade-Seeking Behavior in Cows Under Heat Stress


Mathematical Modelling of Mechanotransduction via RhoA Signalling Pathways


Mathematical Models of Overparameterized Neural Networks


Mathematical Reasoning for Unmanned Aerial Vehicles: A RAG-Based Approach for Complex Arithmetic Reasoning


Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges


Mathematical Runtime Analysis for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II)


Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations


Mathematical analysis of singularities in the diffusion model under the submanifold assumption


Mathematical model bridges disparate timescales of lifelong learning


Mathematical modelling and virtual decomposition control of heavy-duty parallel$-$serial hydraulic manipulators


Mathematical modelling of adjuvant-enhanced active ingredient leaf uptake of pesticides


Mathematical models for off-ball scoring prediction in basketball


Mathematics Content Understanding for Cyberlearning via Formula Evolution Map


Mathematics of Floating 3D Printed Objects


Mathematics of Nested Districts: The Case of Alaska


Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks


Matlab code for Lyapunov exponents of fractional order systems


Matrix Approach to Helicity States of Dirac Free Particles


Matrix Completion in the Unit Hypercube via Structured Matrix Factorization


Matrix Completion via Nonconvex Regularization: Convergence of the Proximal Gradient Algorithm


Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling


Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula


Matrix Compression via Randomized Low Rank and Low Precision Factorization


Matrix Encoding Networks for Neural Combinatorial Optimization


Matrix Lie Maps and Neural Networks for Solving Differential Equations


Matrix Low-Rank Approximation For Policy Gradient Methods


Matrix Low-Rank Trust Region Policy Optimization


Matrix Multiplication: Verifying Strong Uniquely Solvable Puzzles


Matrix Product Renormalization Group: Potential Universal Quantum Many-Body Solver


Matrix Recovery with Implicitly Low-Rank Data


Matrix decompositions in Quantum Optics: Takagi/Autonne, Bloch-Messiah/Euler, Iwasawa, and Williamson


Matrix dissimilarities based on differences in moments and sparsity


Matrix factorisation and the interpretation of geodesic distance


Matrix optimization on universal unitary photonic devices


Matrix perturbation analysis of methods for extracting singular values from approximate singular subspaces


Matrix product state approach for a quantum system at finite temperatures using random phases and Trotter gates


Matrix product state simulations of quantum quenches and transport in Coulomb blockaded superconducting devices


Matrix product state techniques for two-dimensional systems at finite temperature


Matrix tri-factorization over the tropical semiring


Matrix-Free Methods for Finite-Strain Elasticity: Automatic Code Generation with No Performance Overhead


Matrix-Game: Interactive World Foundation Model


Matrix-Scheduling of QSR-Dissipative Systems


Matrix-free stochastic calculation of operator norms without using adjoints


Matrix-propagator approach to compute fluid Love numbers and applicability to extrasolar planets


Matrix-weighted networks for modeling multidimensional dynamics


Matrix-wise $\ell_0$-constrained Sparse Nonnegative Least Squares


MatrixKAN: Parallelized Kolmogorov-Arnold Network


MatrixNet: Learning over symmetry groups using learned group representations


MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula


MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images


Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers


Matryoshka Query Transformer for Large Vision-Language Models


Matryoshka Representation Learning for Recommendation


MatteFormer: Transformer-Based Image Matting via Prior-Tokens


Matter-of-Fact: A Benchmark for Verifying the Feasibility of Literature-Supported Claims in Materials Science


Matterport3D: Learning from RGB-D Data in Indoor Environments


Matérn Gaussian processes on Riemannian manifolds


Matérn Kernels for Tunable Implicit Surface Reconstruction


Maunakea Spectroscopic Explorer exposure time calculator for end-to-end simulator: to optimizing spectrograph design and observing simulation


Mava: a research library for distributed multi-agent reinforcement learning in JAX


Maven: A Multimodal Foundation Model for Supernova Science


Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends


Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation


Max-Affine Spline Insights Into Deep Network Pruning


Max-Affine Spline Insights into Deep Generative Networks


Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling


Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds


Max-Margin Token Selection in Attention Mechanism


Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification


Max-sliced Wasserstein concentration and uniform ratio bounds of empirical measures on RKHS


Max360IQ: Blind Omnidirectional Image Quality Assessment with Multi-axis Attention


MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks


MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine


MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift


MaxGap Bandit: Adaptive Algorithms for Approximate Ranking


MaxGlaViT: A novel lightweight vision transformer-based approach for early diagnosis of glaucoma stages from fundus images


MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training


MaxMI: A Maximal Mutual Information Criterion for Manipulation Concept Discovery


MaxMatch-Dropout: Subword Regularization for WordPiece


MaxQ: Multi-Axis Query for N:M Sparsity Network


MaxSup: Overcoming Representation Collapse in Label Smoothing


MaxTDA: Robust Statistical Inference for Maximal Persistence in Topological Data Analysis


MaxiMask and MaxiTrack: two new tools for identifying contaminants in astronomical images using convolutional neural networks


Maximal Atomic irRedundant Sets: a Usage-based Dataflow Partitioning Algorithm


Maximal dispersion of adaptive random walks


Maximal ideals in countable rings, constructively


Maximal skew sets of lines on a Hermitian surface and a modified Bron-Kerbosch algorithm


Maximin optimal cluster randomized designs for assessing treatment effect heterogeneity


Maximising Quantum-Computing Expressive Power through Randomised Circuits


Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration


Maximizing Ariel's Survey Leverage for Population-Level Studies of Exoplanets


Maximizing Drift is Not Optimal for Solving OneMax


Maximizing Fair Content Spread via Edge Suggestion in Social Networks


Maximizing Marginal Fairness for Dynamic Learning to Rank


Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations


Maximizing Relation Extraction Potential: A Data-Centric Study to Unveil Challenges and Opportunities


Maximizing Safety and Efficiency for Cooperative Lane-Changing: A Minimally Disruptive Approach


Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motion


Maximizing Submodular Functions for Recommendation in the Presence of Biases


Maximizing V-information for Pre-training Superior Foundation Models


Maximizing and Satisficing in Multi-armed Bandits with Graph Information


Maximizing approximately k-submodular functions


Maximizing diversity over clustered data


Maximizing the Diversity of Exposure in a Social Network


Maximizing the Success Probability of Policy Allocations in Online Systems


Maximizing the Value of Predictions in Control: Accuracy Is Not Enough


Maximum $k$-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching Approach


Maximum Agreement Linear Prediction via the Concordance Correlation Coefficient


Maximum Bayes Smatch Ensemble Distillation for AMR Parsing


Maximum Class Separation as Inductive Bias in One Matrix


Maximum Correntropy Criterion Kalman Filter For Indoor Quadrotor Navigation Under Intermittent Measurements


Maximum Coverage in Sublinear Space, Faster


Maximum Degree-Based Quasi-Clique Search via an Iterative Framework


Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models


Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination


Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow


Maximum Entropy Reinforcement Learning with Diffusion Policy


Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks


Maximum Entropy-Regularized Multi-Goal Reinforcement Learning


Maximum Independent Set: Self-Training through Dynamic Programming


Maximum Inscribed and Minimum Enclosing Tropical Balls of Tropical Polytopes and Applications to Volume Estimation and Uniform Sampling


Maximum Knowledge Orthogonality Reconstruction with Gradients in Federated Learning


Maximum Likelihood Estimation for Hawkes Processes with self-excitation or inhibition


Maximum Likelihood Estimation of Optimal Receiver Operating Characteristic Curves from Likelihood Ratio Observations


Maximum Likelihood Identification of Linear Models with Integrating Disturbances for Offset-Free Control


Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference


Maximum Likelihood Recursive State Estimation using the Expectation Maximization Algorithm


Maximum Likelihood Training of Implicit Nonlinear Diffusion Models


Maximum Likelihood Training of Score-Based Diffusion Models


Maximum Likelihood Uncertainty Estimation: Robustness to Outliers


Maximum Likelihood based Phase-Retrieval using Fresnel Propagation Forward Models with Optional Constraints


Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow Models


Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation


Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images


Maximum Mean Discrepancy on Exponential Windows for Online Change Detection


Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming


Maximum Pairwise Bayes Factors for Covariance Structure Testing


Maximum Reward Formulation In Reinforcement Learning


Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation


Maximum Spherical Mean Value (mSMV) Filtering for Whole Brain Quantitative Susceptibility Mapping


Maximum Total Correlation Reinforcement Learning


Maximum a Posteriori Estimation in Graphical Models Using Local Linear Approximation


Maximum a posteriori estimation of quantum states


Maximum diffusion reinforcement learning


Maximum entropy inference of reaction-diffusion models


Maximum likelihood discretization of the transport equation


Maximum likelihood estimates of diffusion coefficients from single-particle tracking experiments


Maximum likelihood estimation of log-affine models using detailed-balanced reaction networks


Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach. Part I: Methodology and Experiments


Maximum n-times Coverage for Vaccine Design


Maximum principle preserving space and time flux limiting for Diagonally Implicit Runge-Kutta discretizations of scalar convection-diffusion equations


Maximum principle preserving time implicit DGSEM for linear scalar hyperbolic conservation laws


Maximum softly-penalized likelihood for mixed effects logistic regression


Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness


Maximum-likelihood Estimators in Physics-Informed Neural Networks for High-dimensional Inverse Problems


Maximum-likelihood fits of piece-wise Pareto distributions with finite and non-zero core


Maximum-likelihood parameter estimation in terahertz time-domain spectroscopy


Maximum-principle-satisfying discontinuous Galerkin methods for incompressible two-phase immiscible flow


Maxway CRT: Improving the Robustness of the Model-X Inference


Maxwell à la Helmholtz: Electromagnetic scattering by 3D perfect electric conductors via Helmholtz integral operators


May the Feedback Be with You! Unlocking the Power of Feedback-Driven Deep Learning Framework Fuzzing via LLMs


Maya: Falsifying Power Sidechannels with Dynamic Control


McDiarmid Drift Detection Methods for Evolving Data Streams


McKernel: A Library for Approximate Kernel Expansions in Log-linear Time


McNet: Fuse Multiple Cues for Multichannel Speech Enhancement


McQueen: a Benchmark for Multimodal Conversational Query Rewrite


McTorch, a manifold optimization library for deep learning


Me LLaMA: Foundation Large Language Models for Medical Applications


Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs


MeDICINE: Rapid Prototyping of Production-Ready Network Services in Multi-PoP Environments


MeDSLIP: Medical Dual-Stream Language-Image Pre-training for Fine-grained Alignment


MeFiT: Merging and Filtering Tool for Illumina Paired-End Reads for 16S rRNA Amplicon Sequencing


MeGA: Merging Multiple Independently Trained Neural Networks Based on Genetic Algorithm


MeInGame: Create a Game Character Face from a Single Portrait


MeLFusion: Synthesizing Music from Image and Language Cues using Diffusion Models


MeLIME: Meaningful Local Explanation for Machine Learning Models


MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection


MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation


MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis


MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking


MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition


MeTACAST: Target- and Context-aware Spatial Selection in VR


MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction


MeaCap: Memory-Augmented Zero-shot Image Captioning


MeaeQ: Mount Model Extraction Attacks with Efficient Queries


MealRec$^+$: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and Healthiness


Mean Aggregator is More Robust than Robust Aggregators under Label Poisoning Attacks on Distributed Heterogeneous Data


Mean BERTs make erratic language teachers: the effectiveness of latent bootstrapping in low-resource settings


Mean Field Decoupling of Single Impurity Anderson Model through Auxiliary Majorana Fermions


Mean Field Multi-Agent Reinforcement Learning


Mean Field and Refined Mean Field Approximations for Heterogeneous Systems: It Works!


Mean First Passage Times and Eyring-Kramers formula for Fluctuating Hydrodynamics


Mean Nyström Embeddings for Adaptive Compressive Learning


Mean Payoff Optimization for Systems of Periodic Service and Maintenance


Mean Square Temporal error estimates for the 2D stochastic Navier-Stokes equations with transport noise


Mean opacities of a strongly magnetized high temperature plasma


Mean-Field Approximate Optimization Algorithm


Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State


Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach


Mean-Field Langevin Dynamics: Exponential Convergence and Annealing


Mean-Field Microcanonical Gradient Descent


Mean-field interacting multi-type birth-death processes with a view to applications in phylodynamics


Mean-field models of dynamics on networks via moment closure: an automated procedure


Mean-field optimal control for biological pattern formation


Mean-field underdamped Langevin dynamics and its spacetime discretization


MeanCut: A Greedy-Optimized Graph Clustering via Path-based Similarity and Degree Descent Criterion


MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification


MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization


Meaning Representations from Trajectories in Autoregressive Models


Meaning Typed Prompting: A Technique for Efficient, Reliable Structured Output Generation


Meaning to Form: Measuring Systematicity as Information


Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance


Meaningfully Debugging Model Mistakes using Conceptual Counterfactual Explanations


Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything


Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation


Measure Estimation in the Barycentric Coding Model


Measure This, Not That: Optimizing the Cost and Model-Based Information Content of Measurements


Measure Transport with Kernel Stein Discrepancy


Measure of Strength of Evidence for Visually Observed Differences between Subpopulations


Measure transfer via stochastic slicing and matching


Measured potential profile in a quantum anomalous Hall system suggests bulk-dominated current flow


Measurement Context Extraction from Text: Discovering Opportunities and Gaps in Earth Science


Measurement Integrity in Peer Prediction: A Peer Assessment Case Study


Measurement Noise Mitigation in a Quantum Computer Using Image Intensity Filters


Measurement Scheduling for Cooperative Localization in Resource-Constrained Conditions


Measurement Simplification in ρ-POMDP with Performance Guarantees


Measurement and comparison of distributional shift with applications to ecology, economics, and image analysis


Measurement error and precision medicine: error-prone tailoring covariates in dynamic treatment regimes


Measurement error as a missing data problem


Measurement noise scaling laws for cellular representation learning


Measurement of Galactic Logarithmic Spiral Arm Pitch Angle Using Two-Dimensional Fast Fourier Transform Decomposition


Measurement of LLM's Philosophies of Human Nature


Measurement of atmospheric scintillation during a period of Saharan dust (Calima) at Observatorio del Teide, Iza\~na, Tenerife, and the impact on photometric exposure times


Measurement of the atom-surface van der Waals interaction by transmission spectroscopy in a wedged nano-cell


Measurement of the thermal Sunyaev-Zel'dovich effect around cosmic voids


Measurement-Based Evaluation Of Google/Apple Exposure Notification API For Proximity Detection in a Commuter Bus


Measurement-based quantum computation from Clifford quantum cellular automata


Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction


Measurements with Noise: Bayesian Optimization for Co-optimizing Noise and Property Discovery in Automated Experiments


Measuring AI Ability to Complete Long Tasks


Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary


Measuring Agreeableness Bias in Multimodal Models


Measuring Alignment Bias in Neural Seq2Seq Semantic Parsers


Measuring Association Between Labels and Free-Text Rationales


Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Method


Measuring Behavioural Similarity of Cellular Automata


Measuring Coding Challenge Competence With APPS


Measuring Communication Quality of Interest Rate Announcements


Measuring Complexity of Learning Schemes Using Hessian-Schatten Total Variation


Measuring Compositionality in Representation Learning


Measuring Consistency in Text-based Financial Forecasting Models


Measuring Contextual Informativeness in Child-Directed Text


Measuring Conversational Fluidity in Automated Dialogue Agents


Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions


Measuring Copyright Risks of Large Language Model via Partial Information Probing


Measuring Cross-Modal Interactions in Multimodal Models


Measuring Cross-lingual Transfer in Bytes


Measuring DNS over TCP in the Era of Increasing DNS Response Sizes: A View from the Edge


Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric


Measuring Data Leakage in Machine-Learning Models with Fisher Information


Measuring Dependence with Matrix-based Entropy Functional


Measuring Diagnostic Test Performance Using Imperfect Reference Tests: A Partial Identification Approach


Measuring Dimensions of Self-Presentation in Twitter Bios and their Links to Misinformation Sharing


Measuring Discrete Sensing Capability for ISAC via Task Mutual Information


Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models


Measuring Disentanglement: A Review of Metrics


Measuring Diversity in Synthetic Datasets


Measuring Emergent Capabilities of LLMs for Software Engineering: How Far Are We?


Measuring Error Alignment for Decision-Making Systems


Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach


Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models


Measuring Faithful and Plausible Visual Grounding in VQA


Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in the Data Manifold


Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities


Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach


Measuring Free-Form Decision-Making Inconsistency of Language Models in Military Crisis Simulations


Measuring GPU utilization one level deeper


Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signals


Measuring General Intelligence with Generated Games


Measuring Generalization with Optimal Transport


Measuring Global Multi-Scale Place Connectivity using Geotagged Social Media Data


Measuring Harmful Representations in Scandinavian Language Models


Measuring Hidden Bias within Face Recognition via Racial Phenotypes


Measuring Human Contribution in AI-Assisted Content Generation


Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models


Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps


Measuring Implicit Bias in Explicitly Unbiased Large Language Models


Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations


Measuring Information Propagation in Literary Social Networks


Measuring Interest Group Positions on Legislation: An AI-Driven Analysis of Lobbying Reports


Measuring Intersectional Biases in Historical Documents


Measuring Interventional Robustness in Reinforcement Learning


Measuring Item Global Residual Value for Fair Recommendation


Measuring LDA Topic Stability from Clusters of Replicated Runs


Measuring Laser Beams with a Neural Network


Measuring Law Over Time: A Network Analytical Framework with an Application to Statutes and Regulations in the United States and Germany


Measuring Meaning Composition in the Human Brain with Composition Scores from Large Language Models


Measuring Moral Dimensions in Social Media with Mformer


Measuring Neutron Star Radius with second and third generation Gravitational Wave Detector Networks


Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding


Measuring Perceptual Color Differences of Smartphone Photographs


Measuring Performance of Generative Adversarial Networks on Devanagari Script


Measuring Physical Plausibility of 3D Human Poses Using Physics Simulation


Measuring Pointwise $\mathcal{V}$-Usable Information In-Context-ly


Measuring Policy Distance for Multi-Agent Reinforcement Learning


Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models


Measuring Progress in Fine-grained Vision-and-Language Understanding


Measuring Psychological Depth in Language Models


Measuring Reliability of Large Language Models through Semantic Consistency


Measuring Representational Robustness of Neural Networks Through Shared Invariances


Measuring Resolved Star Formation Histories from High-Precision Color-Magnitude Diagrams with StarFormationHistories.jl


Measuring Risk of Bias in Biomedical Reports: The RoBBR Benchmark


Measuring Rule-based LTLf Process Specifications: A Probabilistic Data-driven Approach


Measuring Scaling Relationships: Fitting Technique Matters


Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT


Measuring Similarity between Brands using Followers' Post in Social Media


Measuring Social Biases in Grounded Vision and Language Embeddings


Measuring Software Innovation with Open Source Software Development Data


Measuring Spatial Allocative Efficiency in Basketball


Measuring Spurious Correlation in Classification: 'Clever Hans' in Translationese


Measuring Style Similarity in Diffusion Models


Measuring Sycophancy of Language Models in Multi-turn Dialogues


Measuring Systematic Generalization in Neural Proof Generation with Transformers


Measuring Thematic Fit with Distributional Feature Overlap


Measuring Variable Importance in Heterogeneous Treatment Effects with Confidence


Measuring Violations of Positive Involvement in Voting


Measuring Vision-Language STEM Skills of Neural Models


Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization


Measuring Wigner functions of quantum states of light in the undergraduate laboratory


Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extraction


Measuring a Six-hole Recorder Flute's Response to Breath Pressure Variations and Fitting a Model


Measuring amplitudes of harmonics and combination frequencies in variable stars


Measuring and Addressing Indexical Bias in Information Retrieval


Measuring and Controlling Divisiveness in Rank Aggregation


Measuring and Controlling Instruction (In)Stability in Language Model Dialogs


Measuring and Detecting Virality on Social Media: The Case of Twitter's Viral Tweets Topic


Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse


Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models


Measuring and Improving Compositional Generalization in Text-to-SQL via Component Alignment


Measuring and Improving Consistency in Pretrained Language Models


Measuring and Improving Semantic Diversity of Dialogue Generation


Measuring and Improving the Use of Graph Information in Graph Neural Networks


Measuring and Modifying Factual Knowledge in Large Language Models


Measuring and Modifying the Readability of English Texts with GPT-4


Measuring and Narrowing the Compositionality Gap in Language Models


Measuring and Understanding Throughput of Network Topologies


Measuring and predicting variation in the difficulty of questions about data visualizations


Measuring arousal and stress physiology on Esports, a League of Legends case study


Measuring association with Wasserstein distances


Measuring chemical likeness of stars with RSCA


Measuring dark energy with expansion and growth


Measuring design compliance using neural language models -- an automotive case study


Measuring diachronic sense change: new models and Monte Carlo methods for Bayesian inference


Measuring disentangled generative spatio-temporal representation


Measuring dissimilarity with diffeomorphism invariance


Measuring e-Commerce Metric Changes in Online Experiments


Measuring economic activity from space: a case study using flying airplanes and COVID-19


Measuring galaxy abundance and clustering at high redshift from incomplete spectroscopic data: Tests on mock catalogs


Measuring net effects in signed ecological and social network


Measuring non-trivial compositionality in emergent communication


Measuring out quasi-local integrals of motion from entanglement


Measuring photometric redshifts for high-redshift radio source surveys


Measuring post-quench entanglement entropy through density correlations


Measuring spin precession from massive black hole binaries with gravitational waves: insights from time-domain signal morphology


Measuring surface tensions of soft solids with huge contact-angle hysteresis


Measuring the Accuracy and Effectiveness of PII Removal Services


Measuring the Accuracy of Automatic Speech Recognition Solutions


Measuring the Algorithmic Efficiency of Neural Networks


Measuring the Burgers Vector of Dislocations with Dark-Field X-ray Microscopy


Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances


Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications


Measuring the Distances to Asteroids from One Observatory in One Night with Upcoming All-Sky Telescopes


Measuring the Driving Forces of Predictive Performance: Application to Credit Scoring


Measuring the Effect of Influential Messages on Varying Personas


Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments


Measuring the Effect of Transcription Noise on Downstream Language Understanding Tasks


Measuring the Energy Consumption and Efficiency of Deep Neural Networks: An Empirical Analysis and Design Recommendations


Measuring the Fitness-for-Purpose of Requirements: An initial Model of Activities and Attributes


Measuring the Hubble Constant with cosmic chronometers: a machine learning approach


Measuring the Impact of Influence on Individuals: Roadmap to Quantifying Attitude


Measuring the Impact of Missingness in Traffic Stop Data


Measuring the Importance of User-Generated Content to Search Engines


Measuring the Influence of Incorrect Code on Test Generation


Measuring the Initial-Final Mass-Relation using wide double white dwarf binaries from Gaia DR3


Measuring the Instability of Fine-Tuning


Measuring the Mermin-Peres magic square using an online quantum computer


Measuring the Prevalence of Anti-Social Behavior in Online Communities


Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis


Measuring the Reliability of Reinforcement Learning Algorithms


Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning


Measuring the Robustness of Audio Deepfake Detectors


Measuring the Robustness of Reference-Free Dialogue Evaluation Systems


Measuring the Stability of Learned Features


Measuring the Stability of Process Outcome Predictions in Online Settings


Measuring the Substructure Mass Power Spectrum of 23 SLACS Strong Galaxy-Galaxy Lenses with Convolutional Neural Networks


Measuring the Validity of Clustering Validation Datasets


Measuring the Volatility of the Political agenda in Public Opinion and News Media


Measuring the X-ray luminosities of DESI groups from eROSITA Final Equatorial-Depth Survey: I. X-ray luminosity -- halo mass scaling relation


Measuring the accuracy of likelihood-free inference


Measuring the co-evolution of online engagement with (mis)information and its visibility at scale


Measuring the dark matter environments of black hole binaries with gravitational waves


Measuring the eccentricity of GW170817 and GW190425


Measuring the frequency dynamics of financial connectedness and systemic risk


Measuring the growth of structure by matching dark matter haloes to galaxies with VIPERS and SDSS


Measuring the influence of beliefs in belief networks


Measuring the local Dark Matter density in the laboratory


Measuring the local GitHub developer community


Measuring the mass function of isolated stellar remnants with gravitational microlensing. I. Revisiting the OGLE-III dark lens candidates


Measuring the properties of reionised bubbles with resolved Lyman alpha spectra


Measuring the quality of Synthetic data for use in competitions


Measuring the rogue wave pattern triggered from Gaussian perturbations by deep learning


Measuring the spectrum of primordial gravitational waves with CMB, PTA and Laser Interferometers


Measuring the viewing angle of GW170817 with electromagnetic and gravitational waves


Measuring tree balance using symmetry nodes -- a new balance index and its extremal properties


Measuring tropical rainforest resilience under non-Gaussian disturbances


Measuring, Understanding, and Classifying News Media Sympathy on Twitter after Crisis Events


MecQaBot: A Modular Robot Sensing and Wireless Mechatronics Framework for Education and Research


MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge


MechElastic: A Python Library for Analysis of Mechanical and Elastic Properties of Bulk and 2D Materials


MechIR: A Mechanistic Interpretability Framework for Information Retrieval


MechRetro is a chemical-mechanism-driven graph learning framework for interpretable retrosynthesis prediction and pathway planning


Mechanical Computing Systems Using Only Links and Rotary Joints


Mechanical Performance of 3D Printed Interpenetrating Phase Composites with Spinodal Topologies


Mechanical cell interactions on curved interfaces


Mechanically Programming the Cross-Sectional Shape of Soft Growing Robotic Structures for Patient Transfer


Mechanism learning: Reverse causal inference in the presence of multiple unknown confounding through front-door causal bootstrapping


Mechanism of electron-beam manipulation of single dopant atoms in silicon


Mechanism of feature learning in convolutional neural networks


Mechanism of feature learning in deep fully connected networks and kernel machines that recursively learn features


Mechanism of overscreening breakdown by electrode surface morphology in asymmetric ionic liquids


Mechanisms and Computational Design of Multi-Modal End-Effector with Force Sensing using Gated Networks


Mechanisms of Andreev reflection in quantum Hall graphene


Mechanisms of unstable blowup in a quadratic nonlinear Schrödinger equation


Mechanistic Behavior Editing of Language Models


Mechanistic Design and Scaling of Hybrid Architectures


Mechanistic Interpretability in the Presence of Architectural Obfuscation


Mechanistic Interpretability of Binary and Ternary Transformers


Mechanistic Modeling and Analysis of Thermal Radiation in Conventional, Microwave-assisted, and Hybrid Freeze Drying for Biopharmaceutical Manufacturing


Mechanistic Neural Networks for Scientific Machine Learning


Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations


Mechanistic models for panel data: Analysis of ecological experiments with four interacting species


Mechanistic understanding and validation of large AI models with SemanticLens


Mechanization of Incidence Projective Geometry in Higher Dimensions, a Combinatorial Approach


Mechanization of LAGC Semantics in Isabelle


Mechanized Noninterference for Gradual Security


Med-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain


Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata


Med-PMC: Medical Personalized Multi-modal Consultation with a Proactive Ask-First-Observe-Next Paradigm


Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query Embedding


Med-REFL: Medical Reasoning Enhancement via Self-Corrected Fine-grained Reflection


Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning


Med-TTT: Vision Test-Time Training model for Medical Image Segmentation


Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias


Med7: a transferable clinical natural language processing model for electronic health records


MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning


MedAgent-Pro: Towards Evidence-based Multi-modal Medical Diagnosis via Reasoning Agentic Workflow


MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents


MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning


MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning


MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks


MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image Analysis


MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Texts


MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption


MedBookVQA: A Systematic and Comprehensive Medical Benchmark Derived from Open-Access Book


MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation


MedCLIP: Contrastive Learning from Unpaired Medical Images and Text


MedCalc-Bench: Evaluating Large Language Models for Medical Calculations


MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation


MedCaseReasoning: Evaluating and learning diagnostic reasoning from clinical case reports


MedChat: A Multi-Agent Framework for Multimodal Diagnosis with Large Language Models


MedChatZH: a Better Medical Adviser Learns from Better Instructions


MedCoT: Medical Chain of Thought via Hierarchical Expert


MedConceptsQA: Open Source Medical Concepts QA Benchmark


MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation


MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction


MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation


MedDec: A Dataset for Extracting Medical Decisions from Discharge Summaries


MedDet: Generative Adversarial Distillation for Efficient Cervical Disc Herniation Detection


MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction


MedDoc-Bot: A Chat Tool for Comparative Analysis of Large Language Models in the Context of the Pediatric Hypertension Guideline


MedExQA: Medical Question Answering Benchmark with Multiple Explanations


MedFILIP: Medical Fine-grained Language-Image Pre-training


MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification


MedFilter: Improving Extraction of Task-relevant Utterances from Doctor-Patient Conversations through Integration of Discourse Structure and Ontological Knowledge


MedForge: Building Medical Foundation Models Like Open Source Software Development


MedFuncta: Modality-Agnostic Representations Based on Efficient Neural Fields


MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images


MedG-KRP: Medical Graph Knowledge Representation Probing


MedGCN: Medication recommendation and lab test imputation via graph convolutional networks


MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification


MedHallTune: An Instruction-Tuning Benchmark for Mitigating Medical Hallucination in Vision-Language Models


MedIAnomaly: A comparative study of anomaly detection in medical images


MedICaT: A Dataset of Medical Images, Captions, and Textual References


MedINST: Meta Dataset of Biomedical Instructions


MedITok: A Unified Tokenizer for Medical Image Synthesis and Interpretation


MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score


MedLM: Exploring Language Models for Medical Question Answering Systems


MedLSAM: Localize and Segment Anything Model for 3D CT Images


MedLens: Improve Mortality Prediction Via Medical Signs Selecting and Regression


MedLogic-AQA: Enhancing Medical Question Answering with Abstractive Models Focusing on Logical Structures


MedM-VL: What Makes a Good Medical LVLM?


MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering


MedML: Fusing Medical Knowledge and Machine Learning Models for Early Pediatric COVID-19 Hospitalization and Severity Prediction


MedMNIST-C: Comprehensive benchmark and improved classifier robustness by simulating realistic image corruptions


MedMamba: Vision Mamba for Medical Image Classification


MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants


MedMine: Examining Pre-trained Language Models on Medication Mining


MedMobile: A mobile-sized language model with expert-level clinical capabilities


MedOdyssey: A Medical Domain Benchmark for Long Context Evaluation Up to 200K Tokens


MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation


MedPix 2.0: A Comprehensive Multimodal Biomedical Data set for Advanced AI Applications


MedPromptX: Grounded Multimodal Prompting for Chest X-ray Diagnosis


MedQA-CS: Benchmarking Large Language Models Clinical Skills Using an AI-SCE Framework


MedRAX: Medical Reasoning Agent for Chest X-ray


MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs


MedRep: Medical Concept Representation for General Electronic Health Record Foundation Models


MedS$^3$: Towards Medical Small Language Models with Self-Evolved Slow Thinking


MedSegMamba: 3D CNN-Mamba Hybrid Architecture for Brain Segmentation


MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems


MedShare: Medical Resource Sharing among Autonomous Healthcare Providers


MedSlice: Fine-Tuned Large Language Models for Secure Clinical Note Sectioning


MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries


MedSyn: LLM-based Synthetic Medical Text Generation Framework


MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images


MedTVT-R1: A Multimodal LLM Empowering Medical Reasoning and Diagnosis


MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine


MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series Analysis


MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders


MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context


MedVKAN: Efficient Feature Extraction with Mamba and KAN for Medical Image Segmentation


MedViT: A Robust Vision Transformer for Generalized Medical Image Classification


MedYOLO: A Medical Image Object Detection Framework


Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification


MediAug: Exploring Visual Augmentation in Medical Imaging


MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection


MediFact at MEDIQA-CORR 2024: Why AI Needs a Human Touch


MediFact at MEDIQA-M3G 2024: Medical Question Answering in Dermatology with Multimodal Learning


MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement


MediTools -- Medical Education Powered by LLMs


MediViSTA: Medical Video Segmentation via Temporal Fusion SAM Adaptation for Echocardiography


Media Bias and Polarization through the Lens of a Markov Switching Latent Space Network Model


Media Content Atlas: A Pipeline to Explore and Investigate Multidimensional Media Space using Multimodal LLMs


MediaSpeech: Multilanguage ASR Benchmark and Dataset


MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization


Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding


Mediated Multi-Agent Reinforcement Learning


Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences


Mediating Ribosomal Competition by Splitting Pools


Mediating between Contact Feasibility and Robustness of Trajectory Optimization through Chance Complementarity Constraints


Mediation effects that emulate a target randomised trial: Simulation-based evaluation of ill-defined interventions on multiple mediators


Mediators in Determining what Processing BERT Performs First


Medical Artificial Intelligence for Early Detection of Lung Cancer: A Survey


Medical Concept Embedding with Time-Aware Attention


Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis


Medical Dialogue Generation via Dual Flow Modeling


Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation


Medical Face Masks and Emotion Recognition from the Body: Insights from a Deep Learning Perspective


Medical Federated Model with Mixture of Personalized and Sharing Components


Medical Foundation Models are Susceptible to Targeted Misinformation Attacks


Medical Hallucinations in Foundation Models and Their Impact on Healthcare


Medical Image Classification with KAN-Integrated Transformers and Dilated Neighborhood Attention


Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council


Medical Image Fusion for High-Level Analysis: A Mutual Enhancement Framework for Unaligned PAT and MRI


Medical Image Registration Meets Vision Foundation Model: Prototype Learning and Contour Awareness


Medical Image Retrieval via Nearest Neighbor Search on Pre-trained Image Features


Medical Image Segmentation Review: The success of U-Net


Medical Image Segmentation Using Directional Window Attention


Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis


Medical Image Segmentation via Unsupervised Convolutional Neural Network


Medical Image Segmentation with Domain Adaptation: A Survey


Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation


Medical Imaging Complexity and its Effects on GAN Performance


Medical MLLM is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models


Medical Matting: A New Perspective on Medical Segmentation with Uncertainty


Medical Question Summarization with Entity-driven Contrastive Learning


Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-Supervision


Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2


Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding


Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses


Medical data wrangling with sequential variational autoencoders


Medical device surveillance with electronic health records


Medical diffusion on a budget: Textual Inversion for medical image generation


Medical large language models are easily distracted


Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification


Medication Recommendation via Dual Molecular Modalities and Multi-Step Enhancement


Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning


Medium Amplitude Parallel Superposition (MAPS) Rheology, Part 2: Experimental Protocols and Data Analysis


Medium Transmission Map Matters for Learning to Restore Real-World Underwater Images


Medium-induced radiative kernel with the Improved Opacity Expansion


MedleyVox: An Evaluation Dataset for Multiple Singing Voices Separation


Medoid splits for efficient random forests in metric spaces


Medoids in almost linear time via multi-armed bandits


MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning


Medusa: A C++ Library for solving PDEs using Strong Form Mesh-Free methods


Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads


MeeQA: Natural Questions in Meeting Transcripts


Meek Separators and Their Applications in Targeted Causal Discovery


MeerCRAB: MeerLICHT Classification of Real and Bogus Transients using Deep Learning


MeerKAT discovery of radio emission from the Vela X-1 bow shock


MeerKAT radio observations of the neutron star low-mass X-ray binary Cen X-4 at low accretion rates


Meerkat: Audio-Visual Large Language Model for Grounding in Space and Time


Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances


Meeting Summarization with Pre-training and Clustering Methods


Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models


MeetupNet Dublin: Discovering Communities in Dublin's Meetup Network


MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment


MegIS: High-Performance, Energy-Efficient, and Low-Cost Metagenomic Analysis with In-Storage Processing


Mega-COV: A Billion-Scale Dataset of 100+ Languages for COVID-19


Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs


MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs


MegaFold: System-Level Optimizations for Accelerating Protein Structure Prediction Models


MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning


MegaHan97K: A Large-Scale Dataset for Mega-Category Chinese Character Recognition with over 97K Categories


MegaLoc: One Retrieval to Place Them All


MegaMath: Pushing the Limits of Open Math Corpora


MegaSR: Mining Customized Semantics and Expressive Guidance for Image Super-Resolution


MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs


MegaScenes: Scene-Level View Synthesis at Scale


MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representation


Megadiff: A Dataset of 600k Java Source Code Changes Categorized by Diff Size


Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length


Megaphone: Live state migration for distributed streaming dataflows


Megapixel Image Generation with Step-Unrolled Denoising Autoencoders


Megaverse: Simulating Embodied Agents at One Million Experiences per Second


Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis


Mel-McNet: A Mel-Scale Framework for Online Multichannel Speech Enhancement


MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories


MelHuBERT: A simplified HuBERT on Mel spectrograms


Mellin-Barnes Integrals: A Primer on Particle Physics Applications


Mellow: a small audio language model for reasoning


Melody Generation for Pop Music via Word Representation of Musical Properties


Melody Infilling with User-Provided Structural Context


Melody transcription via generative pre-training


Melody: A Platform for Linked Open Data Visualisation and Curated Storytelling


MelodyGLM: Multi-task Pre-training for Symbolic Melody Generation


MelodyT5: A Unified Score-to-Score Transformer for Symbolic Music Processing


Melon Playlist Dataset: a public dataset for audio-based playlist generation and music tagging


Meltdown: Bridging the Perception Gap in Sustainable Food Behaviors Through Immersive VR


Melting of floating ice cylinders in fresh and saline environments


Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems


Mem3DG: Modeling Membrane Mechanochemical Dynamics in 3D using Discrete Differential Geometry


MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models


MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents


MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation


MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents


MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory


MemLong: Memory-Augmented Retrieval for Long Text Modeling


MemSAC: Memory Augmented Sample Consistency for Large Scale Unsupervised Domain Adaptation


MemShield: GPU-assisted software memory encryption


MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants


MemSum-DQA: Adapting An Efficient Long Document Extractive Summarizer for Document Question Answering


MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes


MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems


MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters


Membership Inference Attack on Graph Neural Networks


Membership Inference Attacks Against Recommender Systems


Membership Inference Attacks Against Self-supervised Speech Models


Membership Inference Attacks Against Semantic Segmentation Models


Membership Inference Attacks Against Vision-Language Models


Membership Inference Attacks against Diffusion Models


Membership Inference Attacks against Language Models via Neighbourhood Comparison


Membership Inference Attacks against Large Vision-Language Models


Membership Inference Attacks against Synthetic Data through Overfitting Detection


Membership Inference Attacks and Defenses in Neural Network Pruning


Membership Inference Attacks and Generalization: A Causal Perspective


Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble


Membership Inference Attacks by Exploiting Loss Trajectory


Membership Inference Attacks on DNNs using Adversarial Perturbations


Membership Inference Attacks on Lottery Ticket Networks


Membership Inference Attacks on Machine Learning: A Survey


Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?


Membership Inference of Diffusion Models


Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy


Membership Leakage in Label-Only Exposures


Membership determination in open clusters using the DBSCAN Clustering Algorithm


Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers


Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations


MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification


MemeCap: A Dataset for Captioning and Interpreting Memes


MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation


MemeFier: Dual-stage Modality Fusion for Image Meme Classification


MemeGraphs: Linking Memes to Knowledge Graphs


MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention


MemeMind at ArAIEval Shared Task: Spotting Persuasive Spans in Arabic Text with Persuasion Techniques Identification


MemeSense: An Adaptive In-Context Framework for Social Commonsense Driven Meme Moderation


MemeTector: Enforcing deep focus for meme detection


Memeify: A Large-Scale Meme Generation System


Memento Filter: A Fast, Dynamic, and Robust Range Filter


Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments


Memento: Making Sliding Windows Efficient for Heavy Hitters


MementoHash: A Stateful, Minimal Memory, Best Performing Consistent Hash Algorithm


MementoMap Framework for Flexible and Adaptive Web Archive Profiling


Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences


Memetic Differential Evolution Methods for Semi-Supervised Clustering


Memetic Search for Vehicle Routing with Simultaneous Pickup-Delivery and Time Windows


Memetic algorithms for Spatial Partitioning problems


MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation


MemoNav: Working Memory Model for Visual Navigation


MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery


Memoisation: Purely, Left-recursively, and with (Continuation Passing) Style


Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture


Memorisation versus Generalisation in Pre-trained Language Models


Memorization Capacity of Multi-Head Attention in Transformers


Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks


Memorization With Neural Nets: Going Beyond the Worst Case


Memorization and Knowledge Injection in Gated LLMs


Memorization and Regularization in Generative Diffusion Models


Memorization for Good: Encryption with Autoregressive Language Models


Memorization in Attention-only Transformers


Memorization in Deep Neural Networks: Does the Loss Function matter?


Memorization in Self-Supervised Learning Improves Downstream Generalization


Memorization of Named Entities in Fine-tuned BERT Models


Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance Evaluation


Memorization-Dilation: Modeling Neural Collapse Under Label Noise


Memorize What Matters: Emergent Scene Decomposition from Multitraverse


Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction


Memorizing SAM: 3D Medical Segment Anything Model with Memorizing Transformer


Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games


Memory Augmented Optimizers for Deep Learning


Memory Capacity of Recurrent Neural Networks with Matrix Representation


Memory Controlled Sequential Self Attention for Sound Recognition


Memory Defense: More Robust Classification via a Memory-Masking Autoencoder


Memory Efficient Diffusion Probabilistic Models via Patch-based Generation


Memory Efficient Experience Replay for Streaming Learning


Memory Efficient Matting with Adaptive Token Routing


Memory Efficient Max Flow for Multi-label Submodular MRFs


Memory Efficient Meta-Learning with Large Images


Memory Efficient Neural Processes via Constant Memory Attention Block


Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents


Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models


Memory Population in Continual Learning via Outlier Elimination


Memory Regulation and Alignment toward Generalizer RGB-Infrared Person


Memory Replay with Data Compression for Continual Learning


Memory Safe Computations with XLA Compiler


Memory Sharing for Large Language Model based Agents


Memory and Knowledge Augmented Language Models for Inferring Salience in Long-Form Stories


Memory and rejuvenation in spin glasses: aging systems are ruled by more than one length scale


Memory augment is All You Need for image restoration


Memory based neural networks for end-to-end autonomous driving


Memory of Motion for Warm-starting Trajectory Optimization


Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning


Memory-Augmented Deep Unfolding Network for Compressive Sensing


Memory-Augmented Neural Networks for Machine Translation


Memory-Augmented Non-Local Attention for Video Super-Resolution


Memory-Augmented Reinforcement Learning for Image-Goal Navigation


Memory-Based Dual Gaussian Processes for Sequential Learning


Memory-Based Meta-Learning on Non-Stationary Distributions


Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning


Memory-Disaggregated In-Memory Object Store Framework for Big Data Applications


Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing


Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach


Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization


Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control


Memory-Efficient Network for Large-scale Video Compressive Sensing


Memory-Efficient Optical Flow via Radius-Distribution Orthogonal Cost Volume


Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model


Memory-Efficient Reversible Spiking Neural Networks


Memory-Efficient RkNN Retrieval by Nonlinear k-Distance Approximation


Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer


Memory-Efficient Sequential Pattern Mining with Hybrid Tries


Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression


Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices


Memory-Free Generative Replay For Class-Incremental Learning


Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorization


Memory-Guided Multi-View Multi-Domain Fake News Detection


Memory-Modular Classification: Learning to Generalize with Memory Replacement


Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning


Memory-adaptive Depth-wise Heterogenous Federated Learning


Memory-aided Contrastive Consensus Learning for Co-salient Object Detection


Memory-and-Anticipation Transformer for Online Action Understanding


Memory-assisted prompt editing to improve GPT-3 after deployment


Memory-augmented Attention Modelling for Videos


Memory-augmented Contrastive Learning for Talking Head Generation


Memory-augmented Dense Predictive Coding for Video Representation Learning


Memory-augmented Online Video Anomaly Detection


Memory-augmented conformer for improved end-to-end long-form ASR


Memory-aware curriculum federated learning for breast cancer classification


Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge


Memory-based Deep Reinforcement Learning for POMDPs


Memory-based Ensemble Learning in CMR Semantic Segmentation


Memory-based Message Passing: Decoupling the Message for Propogation from Discrimination


Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models


Memory-efficient Low-latency Remote Photoplethysmography through Temporal-Spatial State Space Duality


Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation


Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images


Memory-efficient Stochastic methods for Memory-based Transformers


Memory-efficient and fast implementation of local adaptive binarization methods


Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity


Memory-free Online Change-point Detection: A Novel Neural Network Approach


MemoryBank: Enhancing Large Language Models with Long-Term Memory


MemoryPrompt: A Light Wrapper to Improve Context Tracking in Pre-trained Language Models


Memoryless Techniques and Wireless Technologies for Indoor Localization with the Internet of Things


Memotion 3: Dataset on Sentiment and Emotion Analysis of Codemixed Hindi-English Memes


Memotion Analysis through the Lens of Joint Embedding


Memristor-based cryogenic programmable DC sources for scalable in-situ quantum-dot control


Men Also Do Laundry: Multi-Attribute Bias Amplification


Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia


MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models


Mend The Learning Approach, Not the Data: Insights for Ranking E-Commerce Products


Mend the gap: A smart repair algorithm for noisy polygonal tilings


MengeROS: a Crowd Simulation Tool for Autonomous Robot Navigation


Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese


Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms


Mental Health and Abortions among Young Women: Time-varying Unobserved Heterogeneity, Health Behaviors, and Risky Decisions


Mental Task Classification Using Electroencephalogram Signal


Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data


MentalArena: Self-play Training of Language Models for Diagnosis and Treatment of Mental Health Disorders


MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance


MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations


Mention Annotations Alone Enable Efficient Domain Adaptation for Coreference Resolution


Mention Memory: incorporating textual knowledge into Transformers through entity mention attention


Mentor-KD: Making Small Language Models Better Multi-step Reasoners


MentorGNN: Deriving Curriculum for Pre-Training GNNs


MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels


MenuCraft: Interactive Menu System Design with Large Language Models


Mephisto: A Framework for Portable, Reproducible, and Iterative Crowdsourcing


Meply: A Large-scale Dataset and Baseline Evaluations for Metastatic Perirectal Lymph Node Detection and Segmentation


MeqSilhouette v2: Spectrally-resolved polarimetric synthetic data generation for the Event Horizon Telescope


Merak: An Efficient Distributed DNN Training Framework with Automated 3D Parallelism for Giant Foundation Models


Mercer Features for Efficient Combinatorial Bayesian Optimization


Mercury: A Code Efficiency Benchmark for Code Large Language Models


Mere Contrastive Learning for Cross-Domain Sentiment Analysis


Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy


Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation


MergeBench: A Benchmark for Merging Domain-Specialized LLMs


MergeComp: A Compression Scheduler for Scalable Communication-Efficient Distributed Training


MergeDTS: A Method for Effective Large-Scale Online Ranker Evaluation


MergeShuffle: A Very Fast, Parallel Random Permutation Algorithm


MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization


Mergenetic: a Simple Evolutionary Model Merging Library


Merger Precursor: Year-long Transients Preceding Mergers of Low-mass Stripped Stars with Compact Objects


Merger Tree-based Galaxy Matching: A Comparative Study Across Different Resolutions


Merger-Ringdown Consistency: A New Test of Strong Gravity using Deep Learning


Merging Combinatorial Design and Optimization: the Oberwolfach Problem


Merging Context Clustering with Visual State Space Models for Medical Image Segmentation


Merging Decision Transformers: Weight Averaging for Forming Multi-Task Policies


Merging Experts into One: Improving Computational Efficiency of Mixture of Experts


Merging Feed-Forward Sublayers for Compressed Transformers


Merging Generated and Retrieved Knowledge for Open-Domain QA


Merging Improves Self-Critique Against Jailbreak Attacks


Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging


Merging Models with Fisher-Weighted Averaging


Merging Multi-Task Models via Weight-Ensembling Mixture of Experts


Merging Multiple Datasets for Improved Appearance-Based Gaze Estimation


Merging Text Transformer Models from Different Initializations


Merging and Splitting Diffusion Paths for Semantically Coherent Panoramas


Merging by Matching Models in Task Parameter Subspaces


Merging in a Bottle: Differentiable Adaptive Merging (DAM) and the Path from Averaging to Automation


Merging public elementary schools to reduce racial/ethnic segregation


Merging synthetic and real embryo data for advanced AI predictions


Merging uncertainty sets via majority vote


Merging versus Ensembling in Multi-Study Prediction: Theoretical Insight from Random Effects


Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer


Merlin++, a flexible and feature-rich accelerator physics and particle tracking library


Merlion: A Machine Learning Library for Time Series


MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming


Mermin Polynomials for Entanglement Evaluation in Grover's algorithm and Quantum Fourier Transform


MeronymNet: A Hierarchical Approach for Unified and Controllable Multi-Category Object Generation


Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs


Mesh Based Analysis of Low Fractal Dimension Reinforcement Learning Policies


Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes


Mesh Density Adaptation for Template-based Shape Reconstruction


Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint 2D-3D Learning


Mesh Total Generalized Variation for Denoising


Mesh-Informed Neural Operator : A Transformer Generative Approach


Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction


Mesh-Learner: Texturing Mesh with Spherical Harmonics


Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation


Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes


Mesh: Compacting Memory Management for C/C++ Applications


MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization


MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers


MeshAvatar: Learning High-quality Triangular Human Avatars from Multi-view Videos


MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy


MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics


MeshDiffusion: Score-based Generative 3D Mesh Modeling


MeshFleet: Filtered and Annotated 3D Vehicle Dataset for Domain Specific Generative Modeling


MeshGen: Generating PBR Textured Mesh with Render-Enhanced Auto-Encoder and Generative Data Augmentation


MeshODE: A Robust and Scalable Framework for Mesh Deformation


MeshPose: Unifying DensePose and 3D Body Mesh reconstruction


MeshRIR: A Dataset of Room Impulse Responses on Meshed Grid Points For Evaluating Sound Field Analysis and Synthesis Methods


MeshSDF: Differentiable Iso-Surface Extraction


MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture Synthesis


MeshSplats: Mesh-Based Rendering with Gaussian Splatting Initialization


MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement


MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks


MeshWalker: Deep Mesh Understanding by Random Walks


Meshfree and efficient modelling of swimming cells


MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework


Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance


Meshless Methods for Large Deformation Elastodynamics


Meshlet Priors for 3D Mesh Reconstruction


Meso-scale size effects of material heterogeneities on crack propagation in brittle solids: Perspectives from phase-field simulations


MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images


Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean


Meson spectroscopy in the $Sp(4)$ gauge theory with three antisymmetric fermions


Mesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation


Mesoscopic Insights: Orchestrating Multi-scale & Hybrid Architecture for Image Manipulation Localization


Mesoscopic modeling of hidden spiking neurons


Mesoscopic photogrammetry with an unstabilized phone camera


Mesostructures: Beyond Spectrogram Loss in Differentiable Time-Frequency Analysis


Message Flow Analysis with Complex Causal Links for Distributed ROS 2 Systems


Message Passing Attention Networks for Document Understanding


Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems


Message Passing Networks for Molecules with Tetrahedral Chirality


Message Passing for Complex Question Answering over Knowledge Graphs


Message Passing for Hyper-Relational Knowledge Graphs


Message Recovery Attack in NTRU through VFK Lattices


Message Scheduling for Performant, Many-Core Belief Propagation


Message Type Identification of Binary Network Protocols using Continuous Segment Similarity


Message recovery attack to NTRU using a lattice independent from the public key


Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning


Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks


Message-passing neural networks for high-throughput polymer screening


Messenger RNA Design via Expected Partition Function and Continuous Optimization


Messengers: Breaking Echo Chambers in Collective Opinion Dynamics with Homophily


Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects


Messy Code Makes Managing ML Pipelines Difficult? Just Let LLMs Rewrite the Code!


MetH: A family of high-resolution and variable-shape image challenges


MetRex: A Benchmark for Verilog Code Metric Reasoning Using LLMs


Meta Adversarial Training against Universal Patches


Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound


Meta Batch-Instance Normalization for Generalizable Person Re-Identification


Meta Co-Training: Two Views are Better than One


Meta Continual Learning via Dynamic Programming


Meta ControlNet: Enhancing Task Adaptation via Meta Learning


Meta Discovery: Learning to Discover Novel Classes given Very Limited Data


Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment


Meta Label Correction for Noisy Label Learning


Meta Learning Deep Visual Words for Fast Video Object Segmentation


Meta Learning for Few-Shot One-class Classification


Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness


Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning


Meta Learning with Relational Information for Short Sequences


Meta Module Network for Compositional Visual Reasoning


Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn


Meta Policy Learning for Cold-Start Conversational Recommendation


Meta Propagation Networks for Graph Few-shot Semi-supervised Learning


Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies


Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach


Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs


Meta Self-Refinement for Robust Learning with Weak Supervision


Meta Transfer Learning for Early Success Prediction in MOOCs


Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data


Meta learning with language models: Challenges and opportunities in the classification of imbalanced text


Meta predictive learning model of languages in neural circuits


Meta-Adaptive Nonlinear Control: Theory and Algorithms


Meta-Black-Box-Optimization through Offline Q-function Learning


Meta-Cal: Well-controlled Post-hoc Calibration by Ranking


Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models


Meta-Consolidation for Continual Learning


Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control


Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation


Meta-DAN: towards an efficient prediction strategy for page-level handwritten text recognition


Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts


Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement


Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration


Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data


Meta-GNN: On Few-shot Node Classification in Graph Meta-learning


Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training


Meta-HAR: Federated Representation Learning for Human Activity Recognition


Meta-INR: Efficient Encoding of Volumetric Data via Meta-Learning Implicit Neural Representation


Meta-Inverse Reinforcement Learning with Probabilistic Context Variables


Meta-Learned Confidence for Few-shot Learning


Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation


Meta-Learned Modality-Weighted Knowledge Distillation for Robust Multi-Modal Learning with Missing Data


Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation


Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments


Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification


Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting


Meta-Learning Bidirectional Update Rules


Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways


Meta-Learning Initializations for Low-Resource Drug Discovery


Meta-Learning Integration in Hierarchical Reinforcement Learning for Advanced Task Complexity


Meta-Learning Online Adaptation of Language Models


Meta-Learning Priors for Efficient Online Bayesian Regression


Meta-Learning Probabilistic Inference For Prediction


Meta-Learning Siamese Network for Few-Shot Text Classification


Meta-Learning Sparse Implicit Neural Representations


Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes


Meta-Learning Symmetries by Reparameterization


Meta-Learning a Cross-lingual Manifold for Semantic Parsing


Meta-Learning an Evolvable Developmental Encoding


Meta-Learning and Knowledge Discovery based Physics-Informed Neural Network for Remaining Useful Life Prediction


Meta-Learning based Degradation Representation for Blind Super-Resolution


Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory


Meta-Learning for Effective Multi-task and Multilingual Modelling


Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing


Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant Network


Meta-Learning for Online Update of Recommender Systems


Meta-Learning for Resampling Recommendation Systems


Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs


Meta-Learning for Simple Regret Minimization


Meta-Learning for Stochastic Gradient MCMC


Meta-Learning for Symbolic Hyperparameter Defaults


Meta-Learning of Neural Architectures for Few-Shot Learning


Meta-Learning of Structured Task Distributions in Humans and Machines


Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer Detection


Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation


Meta-Learning the Inductive Biases of Simple Neural Circuits


Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks


Meta-Learning via Classifier(-free) Diffusion Guidance


Meta-Learning with Adaptive Hyperparameters


Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation


Meta-Learning with Context-Agnostic Initialisations


Meta-Learning with Differentiable Convex Optimization


Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection


Meta-Learning with Fewer Tasks through Task Interpolation


Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance Estimation


Meta-Learning with Hessian-Free Approach in Deep Neural Nets Training


Meta-Learning with Self-Improving Momentum Target


Meta-Learning with Shared Amortized Variational Inference


Meta-Learning with Sparse Experience Replay for Lifelong Language Learning


Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning


Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation


Meta-Learning with Versatile Loss Geometries for Fast Adaptation Using Mirror Descent


Meta-Learning with a Geometry-Adaptive Preconditioner


Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems


Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems


Meta-Learning-Based Fronthaul Compression for Cloud Radio Access Networks


Meta-Meta Classification for One-Shot Learning


Meta-Models: An Architecture for Decoding LLM Behaviors Through Interpreted Embeddings and Natural Language


Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection


Meta-Path Learning for Multi-relational Graph Neural Networks


Meta-Personalizing Vision-Language Models to Find Named Instances in Video


Meta-Point Learning and Refining for Category-Agnostic Pose Estimation


Meta-Processing: A robust framework for multi-tasks seismic processing


Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs


Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning


Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation


Meta-Reasoning Improves Tool Use in Large Language Models


Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models


Meta-Referential Games to Learn Compositional Learning Behaviours


Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores using Graph Neural Networks and Meta-Learning


Meta-Regularization by Enforcing Mutual-Exclusiveness


Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition


Meta-Reinforcement Learning by Tracking Task Non-stationarity


Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR Networks


Meta-Reinforcement Learning in Broad and Non-Parametric Environments


Meta-Reinforcement Learning via Buffering Graph Signatures for Live Video Streaming Events


Meta-SAC: Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient


Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization


Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds


Meta-State-Space Learning: An Identification Approach for Stochastic Dynamical Systems


Meta-Task Prompting Elicits Embeddings from Large Language Models


Meta-Transfer Learning for Code-Switched Speech Recognition


Meta-Transfer Learning for Low-Resource Abstractive Summarization


Meta-Transformer: A Unified Framework for Multimodal Learning


Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable Language Style Understanding


Meta-Uncertainty in Bayesian Model Comparison


Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts


Meta-Value Learning: a General Framework for Learning with Learning Awareness


Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels


Meta-X$_{NLG}$: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation


Meta-analysis of dichotomous and ordinal tests without a gold standard


Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions


Meta-analysis of individualized treatment rules via sign-coherency


Meta-analysis of literature data in metal additive manufacturing: What can we (and the machine) learn from reported data?


Meta-analysis of median survival times with inverse-variance weighting


Meta-attention for ViT-backed Continual Learning


Meta-evaluating stability measures: MAX-Senstivity & AVG-Sensitivity


Meta-in-context learning in large language models


Meta-learning Control Variates: Variance Reduction with Limited Data


Meta-learning algorithms for Few-Shot Computer Vision


Meta-learning an Intermediate Representation for Few-shot Block-wise Prediction of Landslide Susceptibility


Meta-learning and Data Augmentation for Stress Testing Forecasting Models


Meta-learning autoencoders for few-shot prediction


Meta-learning based Alternating Minimization Algorithm for Non-convex Optimization


Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities


Meta-learning how to Share Credit among Macro-Actions


Meta-learning of Pooling Layers for Character Recognition


Meta-learning of textual representations


Meta-learning using privileged information for dynamics


Meta-learning via Language Model In-context Tuning


Meta-optimization for Fully Automated Radiation Therapy Treatment Planning


Meta-optimized Contrastive Learning for Sequential Recommendation


Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction


Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets


Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner


Meta-survey on outlier and anomaly detection


Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks


Meta4XNLI: A Crosslingual Parallel Corpus for Metaphor Detection and Interpretation


MetaASSIST: Robust Dialogue State Tracking with Meta Learning


MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning


MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks


MetaAge: Meta-Learning Personalized Age Estimators


MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time


MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models


MetaAudio: A Few-Shot Audio Classification Benchmark


MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images


MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation


MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks


MetaBayesDTA: Codeless Bayesian meta-analysis of test accuracy, with or without a gold standard


MetaCOG: A Hierarchical Probabilistic Model for Learning Meta-Cognitive Visual Representations


MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration


MetaCache-GPU: Ultra-Fast Metagenomic Classification


MetaChem: An Algebraic Framework for Artificial Chemistries


MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning


MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation


MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation


MetaDE: Evolving Differential Evolution by Differential Evolution


MetaDelta: A Meta-Learning System for Few-shot Image Classification


MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection


MetaExplorer: Facilitating Reasoning with Epistemic Uncertainty in Meta-analysis


MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces


MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction


MetaFEM: A Generic FEM Solver By Meta-expressions


MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs


MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks


MetaFormer: A Unified Meta Framework for Fine-Grained Recognition


MetaFun: Meta-Learning with Iterative Functional Updates


MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection


MetaGCD: Learning to Continually Learn in Generalized Category Discovery


MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning


MetaGrad: Multiple Learning Rates in Online Learning


MetaGraspNet_v0: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis


MetaGreen: Meta-Learning Inspired Transformer Selection for Green Semantic Communication


MetaHDR: Model-Agnostic Meta-Learning for HDR Image Reconstruction


MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks


MetaISP -- Exploiting Global Scene Structure for Accurate Multi-Device Color Rendition


MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System


MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map


MetaLDA: a Topic Model that Efficiently Incorporates Meta information


MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs


MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging


MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer


MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models


MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation


MetaMetaZipf. What do analyses of city size distributions have in common?


MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems


MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks


MetaMorph: Learning Universal Controllers with Transformers


MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning


MetaOcc: Surround-View 4D Radar and Camera Fusion Framework for 3D Occupancy Prediction with Dual Training Strategies


MetaPalette: A $k$-mer painting approach for metagenomic taxonomic profiling and quantification of novel strain variation


MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures


MetaPhys: Few-Shot Adaptation for Non-Contact Physiological Measurement


MetaPix: Domain Transfer for Semantic Segmentation by Meta Pixel Weighting


MetaPoison: Practical General-purpose Clean-label Data Poisoning


MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation


MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision


MetaPriv: Acting in Favor of Privacy on Social Media Platforms


MetaPrompting: Learning to Learn Better Prompts


MetaQA: Combining Expert Agents for Multi-Skill Question Answering


MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition


MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition


MetaSC: Test-Time Safety Specification Optimization for Language Models


MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing


MetaSD: A Unified Framework for Scalable Downscaling of Meteorological Variables in Diverse Situations


MetaSSD: Meta-Learned Self-Supervised Detection


MetaSapiens: Real-Time Neural Rendering with Efficiency-Aware Pruning and Accelerated Foveated Rendering


MetaScript: Few-Shot Handwritten Chinese Content Generation via Generative Adversarial Networks


MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic Segmentation


MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning


MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse


MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for Fact-Checking


MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions


MetaSys: A Practical Open-Source Metadata Management System to Implement and Evaluate Cross-Layer Optimizations


MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning


MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use


MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters


MetaUE: Model-based Meta-learning for Underwater Image Enhancement


MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control


MetaVRadar: Measuring Metaverse Virtual Reality Network Activity


MetaWeather: Few-Shot Weather-Degraded Image Restoration


MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning


Metabolic Model-based Ecological Modeling for Probiotic Design


Metacognitive Prompting Improves Understanding in Large Language Models