Metacognitive Retrieval-Augmented Large Language Models


Metacontrol for Adaptive Imagination-Based Optimization


Metadata Conditioning Accelerates Language Model Pre-training


Metadata Improves Segmentation Through Multitasking Elicitation


Metadata Interpretation Driven Development


Metadata augmented deep neural networks for wild animal classification


Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification


Metadata-driven Table Union Search: Leveraging Semantics for Restricted Access Data Integration


Metadata-guided Consistency Learning for High Content Images


Metadata-guided Feature Disentanglement for Functional Genomics


Metagame Autobalancing for Competitive Multiplayer Games


Metagenome assembly of high-fidelity long reads with hifiasm-meta


Metaheuristic Approach to Solve Portfolio Selection Problem


Metaheuristic Generation of Brane Tilings


Metaheuristic planner for cooperative multi-agent wall construction with UAVs


Metal-poor stars observed with the Magellan Telescope. IV. Neutron-capture element signatures in 27 main-sequence stars


Metalic: Meta-Learning In-Context with Protein Language Models


Metall: A Persistent Memory Allocator For Data-Centric Analytics


Metallicity dependence of the H/H$_2$ and C$^+$/C/CO distributions in a resolved self-regulating interstellar medium


Metamorphic Testing and Debugging of Tax Preparation Software


Metamorphic Testing of a Deep Learning based Forecaster


Metamorphic image registration using a semi-Lagrangian scheme


Metapath- and Entity-aware Graph Neural Network for Recommendation


Metaphor Detection via Explicit Basic Meanings Modelling


Metaphor Detection with Effective Context Denoising


Metaphor Generation with Conceptual Mappings


Metaphors in Pre-Trained Language Models: Probing and Generalization Across Datasets and Languages


Metappearance: Meta-Learning for Visual Appearance Reproduction


Metasql: A Generate-then-Rank Framework for Natural Language to SQL Translation


Metastability of lipid necks via geometric triality


MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models


Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models


Meteorological indicators of dengue epidemics in non-endemic Northwest Argentina


Meteorologically-Informed Adaptive Conformal Prediction for Tropical Cyclone Intensity Forecasting


MethaneMapper: Spectral Absorption aware Hyperspectral Transformer for Methane Detection


Method for Estimation of Nonlinear $\lambda$-I Relation of Single Phase Power Transformer Core by Using On-line Measurable Parameters


Method for Generating Randomly Perturbed Density Operators Subject to Different Sets of Constraints


Method for Measuring Absolute Optical Properties of Turbid Samples in a Standard Cuvette


Method of Moments for Estimation of Noisy Curves


Method-Level Bug Severity Prediction using Source Code Metrics and LLMs


Method-independent cusps for atomic orbitals in quantum Monte Carlo


Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics


Method: Using generalized additive models in the animal sciences


Methodological Foundation of a Numerical Taxonomy of Urban Form


Methodology for Assessing the State of the Practice for Domain X


Methodology for physics-informed generation of synthetic neutron time-of-flight measurement data


Methods for Characterizing the Epigenetic Attractors Landscape Associated with Boolean Gene Regulatory Networks


Methods for Estimating the Exposure-Response Curve to Inform the New Safety Standards for Fine Particulate Matter


Methods for Population Adjustment with Limited Access to Individual Patient Data: A Review and Simulation Study


Methods for Stabilizing Models across Large Samples of Projects (with case studies on Predicting Defect and Project Health)


Methods for calculating coexistence mechanisms: Beyond scaling factors


Methods for differential network estimation: an empirical comparison


Methods for suspensions of passive and active filaments


Methods of Selective Inference for Linear Mixed Models: a Review and Empirical Comparison


Methods to Assess the UK Government's Current Role as a Data Provider for AI


Methods to Estimate Cryptic Sequence Complexity


Metis-RISE: RL Incentivizes and SFT Enhances Multimodal Reasoning Model Learning


Metre as a stylometric feature in Latin hexameter poetry


Metric Based Few-Shot Graph Classification


Metric Dimension of a Diagonal Family of Generalized Hamming Graphs


Metric Distributional Discrepancy in Metric Space


Metric Flow Matching for Smooth Interpolations on the Data Manifold


Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings


Metric Learning and Adaptive Boundary for Out-of-Domain Detection


Metric Learning for Adversarial Robustness


Metric Learning for Clifford Group Equivariant Neural Networks


Metric Learning for Dynamic Text Classification


Metric Learning for Novelty and Anomaly Detection


Metric Learning for Ordered Labeled Trees with pq-grams


Metric Learning for Session-based Recommendations


Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning


Metric Space Spread, Intrinsic Dimension and the Manifold Hypothesis


Metric Statistics: Exploration and Inference for Random Objects With Distance Profiles


Metric-Based In-context Learning: A Case Study in Text Simplification


Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric Learning


Metric-Distortion Bounds under Limited Information


Metric-Learning Encoding Models Identify Processing Profiles of Linguistic Features in BERT's Representations


Metric-Scale Truncation-Robust Heatmaps for 3D Human Pose Estimation


Metric-measure boundary and geodesic flow on Alexandrov spaces


MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only on noisy/ reverberated speech


MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation


MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation


MetricHaven -- More Than 23,000 Metrics for Measuring Quality Attributes of Software Product Lines


MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification


MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task


Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic Features


Metrics Matter in Surgical Phase Recognition


Metrics Revolutions: Groundbreaking Insights into the Implementation of Metrics for Biomedical Image Segmentation


Metrics and continuity in reinforcement learning


Metrics and methods for robustness evaluation of neural networks with generative models


Metrics for Bayesian Optimal Experiment Design under Model Misspecification


Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition


Metrics for Inter-Dataset Similarity with Example Applications in Synthetic Data and Feature Selection Evaluation -- Extended Version


Metrics of calibration for probabilistic predictions


Metrics reloaded: Recommendations for image analysis validation


Metrics that matter: Evaluating image quality metrics for medical image generation


MetroGAN: Simulating Urban Morphology with Generative Adversarial Network


MetroGNN: Metro Network Expansion with Reinforcement Learning


Metrological Advantages in Seeded and Lossy Nonlinear Interferometers


Metronome: adaptive and precise intermittent packet retrieval in DPDK


Metronome: tracing variation in poetic meters via local sequence alignment


Metropolis Adjusted Microcanonical Hamiltonian Monte Carlo


Metropolis Augmented Hamiltonian Monte Carlo


Metropolis Theorem and Its Applications in Single Image Detail Enhancement


Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities


Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network


MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering


MiCEval: Unveiling Multimodal Chain of Thought's Quality via Image Description and Reasoning Steps


MiCRO: Near-Zero Cost Gradient Sparsification for Scaling and Accelerating Distributed DNN Training


MiCellAnnGELo: Annotate microscopy time series of complex cell surfaces with 3D Virtual Reality


MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis


MiDaS: Representative Sampling from Real-world Hypergraphs


MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation


MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving


MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation


MiLiC-Eval: Benchmarking Multilingual LLMs for China's Minority Languages


MiLo: Efficient Quantized MoE Inference with Mixture of Low-Rank Compensators


MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detection


MiMIC: Multi-Modal Indian Earnings Calls Dataset to Predict Stock Prices


MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models


MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining


MiMoTable: A Multi-scale Spreadsheet Benchmark with Meta Operations for Table Reasoning


MiNAA: Microbiome Network Alignment Algorithm


MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction


MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection


MiRAGeNews: Multimodal Realistic AI-Generated News Detection


MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization


MiSTree: a Python package for constructing and analysing Minimum Spanning Trees


MiSeRTrace: Kernel-level Request Tracing for Microservice Visibility


MiStImm: a simulation tool to compare classical nonsef-centered immune models with a novel self-centered model


MiTTenS: A Dataset for Evaluating Gender Mistranslation


MiTU-Net: A fine-tuned U-Net with SegFormer backbone for segmenting pubic symphysis-fetal head


Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy


Mica: Automated Differential Testing for OCaml Modules


MicarVLMoE: A Modern Gated Cross-Aligned Vision-Language Mixture of Experts Model for Medical Image Captioning and Report Generation


Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation


MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing


Micro Text Classification Based on Balanced Positive-Unlabeled Learning


Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders


Micro, Meso, Macro: the effect of triangles on communities in networks


Micro-Act: Mitigate Knowledge Conflict in Question Answering via Actionable Self-Reasoning


Micro-Attention for Micro-Expression recognition


Micro-macro Gaussian Splatting with Enhanced Scalability for Unconstrained Scene Reconstruction


Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation


MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfer


MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence


MicroAnalyzer: A Python Tool for Automated Bacterial Analysis with Fluorescence Microscopy


MicroBERT: Effective Training of Low-resource Monolingual BERTs through Parameter Reduction and Multitask Learning


MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections


MicroDreamer: Efficient 3D Generation in $\sim$20 Seconds by Score-based Iterative Reconstruction


MicroFlow: An Efficient Rust-Based Inference Engine for TinyML


MicroFog: A Framework for Scalable Placement of Microservices-based IoT Applications in Federated Fog Environments


MicroGlam: Microscopic Skin Image Dataset with Cosmetics


MicroMagnetic.jl: A Julia package for micromagnetic and atomistic simulations with GPU support


MicroNet for Efficient Language Modeling


MicroNet: Improving Image Recognition with Extremely Low FLOPs


MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers


MicroRacer: a didactic environment for Deep Reinforcement Learning


MicroRes: Versatile Resilience Profiling in Microservices via Degradation Dissemination Indexing


MicroSSIM: Improved Structural Similarity for Comparing Microscopy Data


MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization


MicroSegNet: A Deep Learning Approach for Prostate Segmentation on Micro-Ultrasound Images


MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research


Microarchitectural Leakage Templates and Their Application to Cache-Based Side Channels


Microbiome subcommunity learning with logistic-tree normal latent Dirichlet allocation


Microblog Hashtag Generation via Encoding Conversation Contexts


Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks


Microcontroller based scanning transfer cavity lock for long-term laser frequency stabilization


Microkelvin electronics on a pulse-tube cryostat with a gate Coulomb blockade thermometer


Microlensing due to free-floating moon-planet systems


Microlensing signatures of extended dark objects using machine learning


Micromechanical fatigue experiments for validation of microstructure-sensitive fatigue simulation models


Micromechanics of rock damage and its recovery in cyclic loading conditions


Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health


Micron-BERT: BERT-based Facial Micro-Expression Recognition


Microplankton life histories revealed by holographic microscopy and deep learning


Microsaccade-inspired Event Camera for Robotics


Microscaling Data Formats for Deep Learning


Microscopic Origin of the Electric Dzyaloshinskii-Moriya Interaction


Microscopic constraints for the equation of state and structure of neutron stars: a Bayesian model mixing framework


Microscopic modeling of attention-based movement behaviors


Microscopic motility of isolated E. coli flagella


Microscopic origin of the effect of substrate metallicity on interfacial free energies


Microscopic origin of tunable assembly forces in chiral active environments


Microscopic origin of twist-dependent electron transfer rate in bilayer graphene


Microscopic parametrizations for gate set tomography under coloured noise


Microscopic theory of colour in lutetium hydride


Microscopic theory of the Hubbard interaction in low-dimensional optical lattices


Microscopy Cell Segmentation via Adversarial Neural Networks


Microscopy Cell Segmentation via Convolutional LSTM Networks


Microscopy Image Restoration using Deep Learning on W2S


Microscopy Image Restoration with Deep Wiener-Kolmogorov filters


Microscopy Image Segmentation via Point and Shape Regularized Data Synthesis


Microscopy image reconstruction with physics-informed denoising diffusion probabilistic model


Microsecond Consensus for Microsecond Applications


Microservice Architecture Reconstruction and Visualization Techniques: A Review


Microshift: An Efficient Image Compression Algorithm for Hardware


Microsimulation Analysis for Network Traffic Assignment (MANTA) at Metropolitan-Scale for Agile Transportation Planning


Microsoft Dialogue Challenge: Building End-to-End Task-Completion Dialogue Systems


Microstructural Studies Using Generative Adversarial Network (GAN): a Case Study


Microstructure Characterization and Reconstruction in Python: MCRpy


Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design


Microstructure-sensitive mean-field model for nonlinear composite materials


Microstructures and Accuracy of Graph Recall by Large Language Models


Microswimmer trapping in surface waves with shear


Microtubule Tracking in Electron Microscopy Volumes


Microusity: A testing tool for Backends for Frontends (BFF) Microservice Systems


Microvision: Static analysis-based approach to visualizing microservices in augmented reality


Microwave single-photon detection using a hybrid spin-optomechanical quantum interface


Microwave spectroscopy and multi-channel quantum defect analysis of ytterbium Rydberg states


Microwave-activated gates between a fluxonium and a transmon qubit


Mid infrared spectroscopy and milk quality traits: a data analysis competition at the "International Workshop on Spectroscopy and Chemometrics 2021"


Mid-Air Drawing of Curves on 3D Surfaces in Virtual Reality


Mid-flight Propeller Failure Detection and Control of Propeller-deficient Quadcopter using Reinforcement Learning


Mid-level Representation Enhancement and Graph Embedded Uncertainty Suppressing for Facial Expression Recognition


MidMed: Towards Mixed-Type Dialogues for Medical Consultation


MidSurfer: A Parameter-Free Approach for Mid-Surface Extraction from Segmented Volumetric Data


MidasTouch: Monte-Carlo inference over distributions across sliding touch


Middle-Layer Representation Alignment for Cross-Lingual Transfer in Fine-Tuned LLMs


Midi Miner -- A Python library for tonal tension and track classification


MidiCaps: A large-scale MIDI dataset with text captions


MidiTok Visualizer: a tool for visualization and analysis of tokenized MIDI symbolic music


Mie-enhanced micro-focused Brillouin light scattering with wavevector resolution


MieAI: A neural network for calculating optical properties of internally mixed aerosol in atmospheric models


Migdal effect and photon Bremsstrahlung: improving the sensitivity to light dark matter of liquid argon experiments


Migrating Existing Container Workload to Kubernetes -- LLM Based Approach and Evaluation


Migrating Face Swap to Mobile Devices: A lightweight Framework and A Supervised Training Solution


Migrating from Microservices to Serverless: An IoT Platform Case Study


Migrating to GraphQL: A Practical Assessment


Migration patterns under different scenarios of sea level rise


Migration studies with a Compositional Data approach: a case study of population structure in the Capital Region of Denmark


MigrationBench: Repository-Level Code Migration Benchmark from Java 8


MigrationMiner: An Automated Detection Tool of Third-Party Java Library Migration at the Method Level


Miipher-2: A Universal Speech Restoration Model for Million-Hour Scale Data Restoration


Milankovitch Cycles for a Circumstellar Earth-analog within $α$ Centauri-like Binaries


Mildly Conservative Q-Learning for Offline Reinforcement Learning


Mildly Constrained Evaluation Policy for Offline Reinforcement Learning


Mildly-Hierarchical triple dynamics and applications to the outer solar system


Milimili. Collecting Parallel Data via Crowdsourcing


MillenniumDB: A Persistent, Open-Source, Graph Database


Millicharged Particles from the Heavens: Single- and Multiple-Scattering Signatures


Millihertz Oscillations Near the Innermost Orbit of a Supermassive Black Hole


Millimeter Wave Base Stations with Cameras: Vision Aided Beam and Blockage Prediction


Millimeter Wave V2V Beam Tracking using Radar: Algorithms and Real-World Demonstration


Million.js: A Fast Compiler-Augmented Virtual DOM for the Web


Millisecond Pulsars from Accretion Induced Collapse as the Origin of the Galactic Centre Gamma-ray Excess Signal


Milmer: a Framework for Multiple Instance Learning based Multimodal Emotion Recognition


MimeQA: Towards Socially-Intelligent Nonverbal Foundation Models


MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central Updates


Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification


Mimic and Classify : A meta-algorithm for Conditional Independence Testing


Mimic and Fool: A Task Agnostic Adversarial Attack


Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification


MimicGait: A Model Agnostic approach for Occluded Gait Recognition using Correlational Knowledge Distillation


MimicNorm: Weight Mean and Last BN Layer Mimic the Dynamic of Batch Normalization


MimicPlay: Long-Horizon Imitation Learning by Watching Human Play


MimickNet, Matching Clinical Post-Processing Under Realistic Black-Box Constraints


Mimicking Better by Matching the Approximate Action Distribution


Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning


Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing


Mimicking the halo-galaxy connection using machine learning


Mimosa: A Language for Asynchronous Implementation of Embedded Systems Software


Min-Entropy Latent Model for Weakly Supervised Object Detection


Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning


Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML


Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation


Min-Max-Jump distance and its applications


Min-max Submodular Ranking for Multiple Agents


MinBackProp -- Backpropagating through Minimal Solvers


MinCall - MinION end2end convolutional deep learning basecaller


MinMax Methods for Optimal Transport and Beyond: Regularization, Approximation and Numerics


MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems


MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training


Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search


Mind Reader: Reconstructing complex images from brain activities


Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text


Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia


Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation


Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language Models


Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements


Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing


Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding


Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering


Mind the (Belief) Gap: Group Identity in the World of LLMs


Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection


Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation


Mind the Confidence Gap: Overconfidence, Calibration, and Distractor Effects in Large Language Models


Mind the Exit Pupil Gap: Revisiting the Intrinsics of a Standard Plenoptic Camera


Mind the GAP: Glimpse-based Active Perception improves generalization and sample efficiency of visual reasoning


Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors


Mind the Gap Between Conversations for Improved Long-Term Dialogue Generation


Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems


Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization


Mind the Gap: A Formal Investigation of the Relationship Between Log and Model Complexity -- Extended Version


Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models


Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch


Mind the Gap: Detecting Black-box Adversarial Attacks in the Making through Query Update Analysis


Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks


Mind the Gap: Evaluating Vision Systems in Small Data Applications


Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI Models


Mind the Gap: Measuring Generalization Performance Across Multiple Objectives


Mind the Gap: Modelling Difference Between Censored and Uncensored Electric Vehicle Charging Demand


Mind the Gap: Offline Policy Optimization for Imperfect Rewards


Mind the Gap: Towards Generalizable Autonomous Penetration Testing via Domain Randomization and Meta-Reinforcement Learning


Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning


Mind the Gesture: Evaluating AI Sensitivity to Culturally Offensive Non-Verbal Gestures


Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models


Mind the Label Shift of Augmentation-based Graph OOD Generalization


Mind the Labels: Describing Relations in Knowledge Graphs With Pretrained Models


Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference


Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic Counting


Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking


Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI


Mind the gaps: improved methods for the detection of periodicities in unevenly-sampled data


Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension


Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures


Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning


Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models


Mind-proofing Your Phone: Navigating the Digital Minefield with GreaseTerminator


Mind2Matter: Creating 3D Models from EEG Signals


MindBridge: A Cross-Subject Brain Decoding Framework


MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality


MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion


MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data


MindGPT: Interpreting What You See with Non-invasive Brain Recordings


MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models


MindMerger: Efficient Boosting LLM Reasoning in non-English Languages


MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings


MindScope: Exploring cognitive biases in large language models through Multi-Agent Systems


MindSearch: Mimicking Human Minds Elicits Deep AI Searcher


MindSet: Vision. A toolbox for testing DNNs on key psychological experiments


Minding non-collapsibility of odds ratios when recalibrating risk prediction models


Mindless Attractor: A False-Positive Resistant Intervention for Drawing Attention Using Auditory Perturbation


Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels


MineAnyBuild: Benchmarking Spatial Planning for Open-world AI Agents


MineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World Control


MineInsight: A Multi-sensor Dataset for Humanitarian Demining Robotics in Off-Road Environments


MineLand: Simulating Large-Scale Multi-Agent Interactions with Limited Multimodal Senses and Physical Needs


MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery


MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds


MineProt: modern application for custom protein curation


MineStudio: A Streamlined Package for Minecraft AI Agent Development


MinerU: An Open-Source Solution for Precise Document Content Extraction


Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-trained Representations


Mini Diffuser: Fast Multi-task Diffusion Policy Training Using Two-level Mini-batches


Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning


Mini Minds: Exploring Bebeshka and Zlata Baby Models


Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI


Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications


Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models


Mini-EUSO (Extreme Universe Space Observatory) data acquisition and control software


Mini-Hes: A Parallelizable Second-order Latent Factor Analysis Model


Mini-Minimax Uncertainty Quantification for Emulators


Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities


Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming


Mini-Sequence Transformer: Optimizing Intermediate Memory for Long Sequences Training


Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians


Mini-batch Serialization: CNN Training with Inter-layer Data Reuse


MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers


MiniAnDE: a reduced AnDE ensemble to deal with microarray data


MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction


MiniDisc: Minimal Distillation Schedule for Language Model Compression


MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving


MiniF2F in Rocq: Automatic Translation Between Proof Assistants -- A Case Study


MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors


MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens


MiniGPT-Med: Large Language Model as a General Interface for Radiology Diagnosis


MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Classification and Detection


MiniGPT-Reverse-Designing: Predicting Image Adjustments Utilizing MiniGPT-4


MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models


MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention


MiniPLM: Knowledge Distillation for Pre-Training Language Models


MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation


MiniRBT: A Two-stage Distilled Small Chinese Pre-trained Model


MiniSUPERB: Lightweight Benchmark for Self-supervised Speech Models


MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation


MiniZero: Comparative Analysis of AlphaZero and MuZero on Go, Othello, and Atari Games


Miniaturizing neural networks for charge state autotuning in quantum dots


Minibatch Processing in Spiking Neural Networks


Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks


Minimal Achievable Sufficient Statistic Learning


Minimal Autocorrelation in Hybrid Monte Carlo simulations using Exact Fourier Acceleration


Minimal Effective Theory for Phonotactic Memory: Capturing Local Correlations due to Errors in Speech


Minimal Learning Machine for Multi-Label Learning


Minimal Lipschitz and $\infty$-Harmonic Extensions of Vector-Valued Functions on Finite Graphs


Minimal Macro-Based Rewritings of Formal Languages: Theory and Applications in Ontology Engineering (and beyond)


Minimal Morphoelastic Models of Solid Tumour Spheroids: A Tutorial


Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion


Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA


Minimal Solvers for Indoor UAV Positioning


Minimal Supervision for Morphological Inflection


Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models


Minimal Zeeman field requirement for a topological transition in superconductors


Minimal model of diffusion with time changing Hurst exponent


Minimal models of rational elliptic curves with non-trivial torsion


Minimal residual multistep methods for large stiff non-autonomous linear problems


Minimalist and High-Performance Semantic Segmentation with Plain Vision Transformers


Minimalist and High-Quality Panoramic Imaging with PSF-aware Transformers


Minimalistic Collective Perception with Imperfect Sensors


Minimally Conservative Controlled-Invariant Set Synthesis Using Control Barrier Certificates


Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value


Minimally Supervised Categorization of Text with Metadata


Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack


Minimax AUC Fairness: Efficient Algorithm with Provable Convergence


Minimax Adaptive Estimation for Finite Sets of Linear Systems


Minimax Analysis for Inverse Risk in Nonparametric Planer Invertible Regression


Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees


Minimax Classification with 0-1 Loss and Performance Guarantees


Minimax Confidence Intervals for the Sliced Wasserstein Distance


Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons


Minimax Estimation of Partially-Observed Vector AutoRegressions


Minimax Filter: Learning to Preserve Privacy from Inference Attacks


Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees


Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference


Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification


Minimax Optimal Algorithms with Fixed-$k$-Nearest Neighbors


Minimax Optimal Estimation of Stability Under Distribution Shift


Minimax Optimal Fair Classification with Bounded Demographic Disparity


Minimax Optimal Online Imitation Learning via Replay Estimation


Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers


Minimax Optimal Two-Sample Testing under Local Differential Privacy


Minimax Optimization with Smooth Algorithmic Adversaries


Minimax Pareto Fairness: A Multi Objective Perspective


Minimax Quasi-Bayesian estimation in sparse canonical correlation analysis via a Rayleigh quotient function


Minimax adaptive estimation in manifold inference


Minimax and Neyman-Pearson Meta-Learning for Outlier Languages


Minimax and adaptive estimation of the Wigner function in quantum homodyne tomography with noisy data


Minimax rates of entropy estimation on large alphabets via best polynomial approximation


Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles


Minimization Over the Nonconvex Sparsity Constraint Using A Hybrid First-order method


Minimization of Eddy Current Artifacts in Sequences with Periodic Dynamics


Minimization of Nonlinear Energies in Python Using FEM and Automatic Differentiation Tools


Minimization of mean-CVaR evacuation time of a crowd using rescue guides: a scenario-based approach


Minimization over the l1-ball using an active-set non-monotone projected gradient


Minimize Quantization Output Error with Bias Compensation


Minimizers of the Empirical Risk and Risk Monotonicity


Minimizing $f$-Divergences by Interpolating Velocity Fields


Minimizing Chebyshev Prototype Risk Magically Mitigates the Perils of Overfitting


Minimizing Close-k Aggregate Loss Improves Classification


Minimizing Contaminant Leakage in Internal Linear Combination Maps Using a Data-Driven Approach


Minimizing FLOPs to Learn Efficient Sparse Representations


Minimizing False-Positive Attributions in Explanations of Non-Linear Models


Minimizing Information Leakage of Abrupt Changes in Stochastic Systems


Minimizing Localized Ratio Cut Objectives in Hypergraphs


Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks


Minimizing Oracle-Structured Composite Functions


Minimizing PLM-Based Few-Shot Intent Detectors


Minimizing Polarization and Disagreement in Social Networks


Minimizing Polarization in Noisy Leader-Follower Opinion Dynamics


Minimizing Queue Length Regret for Arbitrarily Varying Channels


Minimizing Structural Vibrations via Guided Flow Matching Design Optimization


Minimizing Supervision for Free-space Segmentation


Minimizing Time-to-Rank: A Learning and Recommendation Approach


Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent


Minimizing a Sum of Clipped Convex Functions


Minimizing communication in the multidimensional FFT


Minimizing information loss reduces spiking neuronal networks to differential equations


Minimizing the Arithmetic and Communication Complexity of Jacobi's Method for Eigenvalues and Singular Values


Minimizing the number of optimizations for efficient community dynamic flux balance analysis


Minimum Bayes' Risk Decoding for System Combination of Grammatical Error Correction Systems


Minimum Class Confusion for Versatile Domain Adaptation


Minimum Description Length Hopfield Networks


Minimum Description Length Recurrent Neural Networks


Minimum Description Length and Generalization Guarantees for Representation Learning


Minimum Description Length codes are critical


Minimum Distance Approach to Inference with Many Instruments


Minimum Empirical Divergence for Sub-Gaussian Linear Bandits


Minimum Latency Deep Online Video Stabilization


Minimum Regret Search for Single- and Multi-Task Optimization


Minimum Spectral Connectivity Projection Pursuit


Minimum Viable Model Estimates for Machine Learning Projects


Minimum Volume Conformal Sets for Multivariate Regression


Minimum Weighted Feedback Arc Sets for Ranking from Pairwise Comparisons


Minimum discrepancy principle strategy for choosing $k$ in $k$-NN regression


Minimum error correction-based haplotype assembly: considerations for long read data


Minimum number of neurons in fully connected layers of a given neural network (the first approximation)


Minimum sharpness: Scale-invariant parameter-robustness of neural networks


Minimum time connection between non-equilibrium steady states: the Brownian gyrator


Minimum variance threshold for epsilon-lexicase selection


Minimum wave speeds in monostable reaction-diffusion equations: sharp bounds by polynomial optimization


Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection


Minimum-Error Triangulations for Sea Surface Reconstruction


Minimum-Strain Symmetrization of Bravais Lattices


Minimum-Time Planar Paths with up to Two Constant Acceleration Inputs and $L_2$ Velocity and Acceleration Constraints


Minimum-Time Quadrotor Waypoint Flight in Cluttered Environments


Minimum-distortion continuous cartograms by numerically optimized meshes


Minimum-norm Sparse Perturbations for Opacity in Linear Systems


Minimum-norm solutions of the non-symmetric semidefinite Procrustes problem


Mining Android API Usage to Generate Unit Test Cases for Pinpointing Compatibility Issues


Mining Architecture Tactics and Quality Attributes Knowledge in Stack Overflow


Mining Constraints from Reference Process Models for Detecting Best-Practice Violations in Event Log


Mining Coronavirus (COVID-19) Posts in Social Media


Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation


Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection


Mining CryptoNight-Haven on the Varium C1100 Blockchain Accelerator Card


Mining Discriminative Food Regions for Accurate Food Recognition


Mining Dual Emotion for Fake News Detection


Mining Energy-Related Practices in Robotics Software


Mining Entity Synonyms with Efficient Neural Set Generation


Mining Error Templates for Grammatical Error Correction


Mining False Positive Examples for Text-Based Person Re-identification


Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training


Mining Frequent Patterns in Evolving Graphs


Mining Functional Modules by Multiview-NMF of Phenome-Genome Association


Mining GOLD Samples for Conditional GANs


Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis


Mining Gravitational-wave Catalogs To Understand Binary Stellar Evolution: A New Hierarchical Bayesian Framework


Mining In-distribution Attributes in Outliers for Out-of-distribution Detection


Mining Interesting Trivia for Entities from Wikipedia


Mining Intraday Risk Factor Collections via Hierarchical Reinforcement Learning based on Transferred Options


Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets


Mining Knowledge for Natural Language Inference from Wikipedia Categories


Mining Latent Structures for Multimedia Recommendation


Mining Legal Arguments in Court Decisions


Mining Mathematical Documents for Question Answering via Unsupervised Formula Labeling


Mining Mid-level Visual Patterns with Deep CNN Activations


Mining Misdiagnosis Patterns from Biomedical Literature


Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection


Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks


Mining Open Government Data Used in Scientific Research


Mining Patents with Large Language Models Elucidates the Chemical Function Landscape


Mining Persistent Activity in Continually Evolving Networks


Mining Platoon Patterns from Traffic Videos


Mining Potentially Explanatory Patterns via Partial Solutions


Mining REST APIs for Potential Mass Assignment Vulnerabilities


Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation


Mining Spatio-temporal Data on Industrialization from Historical Registries


Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation


Mining Temporal Evolution of Knowledge Graph and Genealogical Features for Literature-based Discovery Prediction


Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction


Mining United Nations General Assembly Debates


Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation


Mining User Privacy Concern Topics from App Reviews


Mining User Queries with Information Extraction Methods and Linked Data


Mining Wikidata for Name Resources for African Languages


Mining Word Boundaries from Speech-Text Parallel Data for Cross-domain Chinese Word Segmentation


Mining and Intervention of Social Networks Information Cocoon Based on Multi-Layer Network Community Detection


Mining and Tailings Dam Detection In Satellite Imagery Using Deep Learning


Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration


Mining bias-target Alignment from Voronoi Cells


Mining compact high utility sequential patterns


Mining counterexamples for wide-signature algebras with an Isabelle server


Mining experimental data from Materials Science literature with Large Language Models: an evaluation study


Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNN


Mining for Cost Awareness in the Infrastructure as Code Artifacts of Cloud-based Applications: an Exploratory Study


Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning


Mining for Lags in Updating Critical Security Threats: A Case Study of Log4j Library


Mining for Protoclusters at $z\sim4$ from Photometric Datasets with Deep Learning


Mining higher-order triadic interactions


Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series


Mining self-similarity: Label super-resolution with epitomic representations


Mining the Benefits of Two-stage and One-stage HOI Detection


Mining the Minoria: Unknown, Under-represented, and Under-performing Minority Groups


Mining the contribution of intensive care clinical course to outcome after traumatic brain injury


Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems


Mining within-trial oscillatory brain dynamics to address the variability of optimized spatial filters


Mining-Gym: A Configurable RL Benchmarking Environment for Truck Dispatch Scheduling


MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition


MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions, spherical coordinates, and intensity


MinkLoc3D: Point Cloud Based Large-Scale Place Recognition


MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity


MinoanER: Schema-Agnostic, Non-Iterative, Massively Parallel Resolution of Web Entities


Minor Issues Escalated to Critical Levels in Large Samples: A Permutation-Based Fix


Minor changes make a difference: a case study on the consistency of UD-based dependency parsers


Minor corrections to Nipp's tables of quaternary quadratic forms


Minority Oversampling for Imbalanced Time Series Classification


Minority Voter Distributions and Partisan Gerrymandering


Minority-Focused Text-to-Image Generation via Prompt Optimization


Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition


Minotaur: Multi-Resource Blockchain Consensus


Minsight: A Fingertip-Sized Vision-Based Tactile Sensor for Robotic Manipulation


MintNet: Building Invertible Neural Networks with Masked Convolutions


Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering


Minuet: Accelerating 3D Sparse Convolutions on GPUs


Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals


Minuska: Towards a Formally Verified Programming Language Framework


Minute-Long Videos with Dual Parallelisms


Minutes to Seconds: Speeded-up DDPM-based Image Inpainting with Coarse-to-Fine Sampling


Mipmap-GS: Let Gaussians Deform with Scale-specific Mipmap for Anti-aliasing Rendering


MirLibSpark: A Scalable NGS Plant MicroRNA Prediction Pipeline for Multi-Library Functional Annotation


MiraBest: A Dataset of Morphologically Classified Radio Galaxies for Machine Learning


MiraGe: Editable 2D Images using Gaussian Splatting


Mirage: Model-Agnostic Graph Distillation for Graph Classification


Mirage: Towards Low-interruption Services on Batch GPU Clusters with Reinforcement Learning


MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication Recommendation


Mirheo: High-Performance Mesoscale Simulations for Microfluidics


Mirostat: A Neural Text Decoding Algorithm that Directly Controls Perplexity


Mirror Descent Search and its Acceleration


Mirror Descent View for Neural Network Quantization


Mirror Diffusion Models for Constrained and Watermarked Generation


Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima


Mirror Learning: A Unifying Framework of Policy Optimisation


Mirror Twin Higgs Cosmology: Constraints and a Possible Resolution to the $H_0$ and $S_8$ Tensions


Mirror and Preconditioned Gradient Descent in Wasserstein Space


Mirror-Descent Inverse Kinematics for Box-constrained Joint Space


Mirror3D: Depth Refinement for Mirror Surfaces


Mirror: A Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning


Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization


Mirror: A Universal Framework for Various Information Extraction Tasks


MirrorCBO: A consensus-based optimization method in the spirit of mirror descent


MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models


MisGAN: Learning from Incomplete Data with Generative Adversarial Networks


MisRoBÆRTa: Transformers versus Misinformation


Misaligned Over-The-Air Computation of Multi-Sensor Data with Wiener-Denoiser Network


Misalignment-Robust Frequency Distribution Loss for Image Transformation


Misbehaviour Prediction for Autonomous Driving Systems


Misbinding Raw Public Keys to Identities in TLS


Misinformation Detection on YouTube Using Video Captions


Misinformation Resilient Search Rankings with Webgraph-based Interventions


Misinformed by Visualization: What Do We Learn From Misinformative Visualizations?


Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark


Misleading Deep-Fake Detection with GAN Fingerprints


Misleading Metadata Detection on YouTube


Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic


Misleading through Inconsistency: A Benchmark for Political Inconsistencies Detection


Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment


Mismatched No More: Joint Model-Policy Optimization for Model-Based RL


Mismatched: Evaluating the Limits of Image Matching Approaches and Benchmarks


Mismatching-Aware Unsupervised Translation Quality Estimation For Low-Resource Languages


Misogynistic Tweet Detection: Modelling CNN with Small Datasets


Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making


Mispronunciation Detection Without L2 Pronunciation Dataset in Low-Resource Setting: A Case Study in Finland Swedish


Mispronunciation detection using self-supervised speech representations


Miss It Like Messi: Extracting Value from Off-Target Shots in Soccer


Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection


MissBeamNet: Learning Missing Doppler Velocity Log Beam Measurements


MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models


MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models


MissNODAG: Differentiable Cyclic Causal Graph Learning from Incomplete Data


Missci: Reconstructing Fallacies in Misrepresented Science


Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation


Missing Data Imputation for Galaxy Redshift Estimation


Missing Data Imputation for Supervised Learning


Missing Data Imputation using Optimal Transport


Missing Data Imputation with Adversarially-trained Graph Convolutional Networks


Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network


Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption


Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?


Missing Target-Relevant Information Prediction with World Model for Accurate Zero-Shot Composed Image Retrieval


Missing Value Imputation for Mixed Data via Gaussian Copula


Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation (Extended Version)


Missing Values Handling for Machine Learning Portfolios


Missing links as a source of seemingly variable constants in complex reaction networks


Missingness Augmentation: A General Approach for Improving Generative Imputation Models


Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare


Mission Balance: Generating Under-represented Class Samples using Video Diffusion Models


Mission Imputable: Correcting for Berkson Error When Imputing a Censored Covariate


Mission Planner for UAV Battery Replacement


Mission Planning and Safety Assessment for Pipeline Inspection Using Autonomous Underwater Vehicles: A Framework based on Behavior Trees


Mission Planning on Autonomous Avoidance for Spacecraft Confronting Orbital Debris


Misspecified Phase Retrieval with Generative Priors


Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-Optimization


Misty, patchy, and turbulent: constraining the cold circumgalactic medium with mCC


Misusing Tools in Large Language Models With Visual Adversarial Examples


Miti-DETR: Object Detection based on Transformers with Mitigatory Self-Attention Convergence


Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning


Mitigate Position Bias in Large Language Models via Scaling a Single Dimension


Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement


Mitigate Target-level Insensitivity of Infrared Small Target Detection via Posterior Distribution Modeling


Mitigate the Gap: Investigating Approaches for Improving Cross-Modal Alignment in CLIP


Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher Adversarial Distillation


Mitigating Advanced Adversarial Attacks with More Advanced Gradient Obfuscation Techniques


Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments


Mitigating Adversarial Effects Through Randomization


Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization


Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning


Mitigating Algorithmic Bias with Limited Annotations


Mitigating Artifacts in Real-World Video Super-Resolution Models


Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor


Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation


Mitigating Background Shift in Class-Incremental Semantic Segmentation


Mitigating Bias in Queer Representation within Large Language Models: A Collaborative Agent Approach


Mitigating Bias in RAG: Controlling the Embedder


Mitigating Biases in Collective Decision-Making: Enhancing Performance in the Face of Fake News


Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration


Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models


Mitigating Catastrophic Forgetting for Few-Shot Spoken Word Classification Through Meta-Learning


Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal


Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation


Mitigating Data Poisoning Attacks to Local Differential Privacy


Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning


Mitigating Dataset Bias by Using Per-sample Gradient


Mitigating Dataset Imbalance via Joint Generation and Classification


Mitigating Discrimination in Insurance with Wasserstein Barycenters


Mitigating Eddington and Malmquist Biases in Latent-Inclination Regression of the Tully-Fisher Relation


Mitigating Entity-Level Hallucination in Large Language Models


Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits


Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization


Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption Rewrites


Mitigating Fine-tuning Risks in LLMs via Safety-Aware Probing Optimization


Mitigating Forgetting in LLM Supervised Fine-Tuning and Preference Learning


Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning


Mitigating Gender Bias in Captioning Systems


Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model


Mitigating Gender Bias in Machine Translation with Target Gender Annotations


Mitigating Generation Shifts for Generalized Zero-Shot Learning


Mitigating Group Bias in Federated Learning: Beyond Local Fairness


Mitigating Hallucination for Large Vision Language Model by Inter-Modality Correlation Calibration Decoding


Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information


Mitigating Hallucination in Fictional Character Role-Play


Mitigating Hallucination of Large Vision-Language Models via Dynamic Logits Calibration


Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow


Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key


Mitigating Hallucinations in Vision-Language Models through Image-Guided Head Suppression


Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding


Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach


Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization


Mitigating Interference in the Knowledge Continuum through Attention-Guided Incremental Learning


Mitigating Label Noise through Data Ambiguation


Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization


Mitigating Language-Dependent Ethnic Bias in BERT


Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation


Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning


Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments


Mitigating Memorization In Language Models


Mitigating Memorization of Noisy Labels via Regularization between Representations


Mitigating Misleading Chain-of-Thought Reasoning with Selective Filtering


Mitigating Mismatch Compression in Differential Local Field Potentials


Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective


Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization


Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality


Mitigating Molecular Aggregation in Drug Discovery with Predictive Insights from Explainable AI


Mitigating Motion Blur in Neural Radiance Fields with Events and Frames


Mitigating Multilingual Hallucination in Large Vision-Language Models


Mitigating Negative Transfer with Task Awareness for Sexism, Hate Speech, and Toxic Language Detection


Mitigating Noise in Quantum Software Testing Using Machine Learning


Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning


Mitigating Noisy Supervision Using Synthetic Samples with Soft Labels


Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange


Mitigating Object Hallucination via Concentric Causal Attention


Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding


Mitigating Object Hallucinations via Sentence-Level Early Intervention


Mitigating Open-Vocabulary Caption Hallucinations


Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci Curvature


Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations


Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs


Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning


Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy


Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions


Mitigating Pooling Bias in E-commerce Search via False Negative Estimation


Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss


Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling


Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMs


Mitigating Quantum Gate Errors for Variational Eigensolvers Using Hardware-Inspired Zero-Noise Extrapolation


Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble Framework


Mitigating Representation Bias in Action Recognition: Algorithms and Benchmarks


Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training


Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling


Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMs


Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning


Mitigating Semantic Leakage in Cross-lingual Embeddings via Orthogonality Constraint


Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness


Mitigating Social Bias in Large Language Models: A Multi-Objective Approach within a Multi-Agent Framework


Mitigating Source Bias for Fairer Weak Supervision


Mitigating Spurious Correlations for Self-supervised Recommendation


Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection


Mitigating Sybils in Federated Learning Poisoning


Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling


Mitigating Temporal Misalignment by Discarding Outdated Facts


Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp


Mitigating Test-Time Bias for Fair Image Retrieval


Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting


Mitigating Trade-off: Stream and Query-guided Aggregation for Efficient and Effective 3D Occupancy Prediction


Mitigating Transformer Overconfidence via Lipschitz Regularization


Mitigating Unauthorized Speech Synthesis for Voice Protection


Mitigating Uncertainty in Document Classification


Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning


Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback


Mitigating Urban-Rural Disparities in Contrastive Representation Learning with Satellite Imagery


Mitigating Vanishing Activations in Deep CapsNets Using Channel Pruning


Mitigating Word Bias in Zero-shot Prompt-based Classifiers


Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground


Mitigating annotation shift in cancer classification using single image generative models


Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching


Mitigating cold start problems in drug-target affinity prediction with interaction knowledge transferring


Mitigating distribution shift in machine learning-augmented hybrid simulation


Mitigating large adversarial perturbations on X-MAS (X minus Moving Averaged Samples)


Mitigating shortage of labeled data using clustering-based active learning with diversity exploration


Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings


Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace


Mitigating the Bias of Large Language Model Evaluation


Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing


Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence Regularization


Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization


Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics


Mitigating the Influence of the Boundary on PDE-based Covariance Operators


Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing


Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended Generation


Mitigating the Negative Impact of Over-association for Conversational Query Production


Mitigating the Structural Bias in Graph Adversarial Defenses


Mitigation of gender bias in automatic facial non-verbal behaviors generation


Mito-nuclear selection induces a trade-off between species ecological dominance and evolutionary lifespan


Mitochondrial network state scales mtDNA genetic dynamics


Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping


Mittens: An Extension of GloVe for Learning Domain-Specialized Representations


Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions


Mix and match networks: encoder-decoder alignment for zero-pair image translation


Mix-Domain Contrastive Learning for Unpaired H&E-to-IHC Stain Translation


Mix-GENEO: A Flexible Filtration for Multiparameter Persistent Homology Detects Digital Images


Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN


Mix-Pooling Strategy for Attention Mechanism


Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation


Mix-of-Language-Experts Architecture for Multilingual Programming


Mix3D: Out-of-Context Data Augmentation for 3D Scenes


MixAT: Combining Continuous and Discrete Adversarial Training for LLMs


MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger Bridges


MixCo: Mix-up Contrastive Learning for Visual Representation


MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency


MixCycle: Unsupervised Speech Separation via Cyclic Mixture Permutation Invariant Training


MixDehazeNet : Mix Structure Block For Image Dehazing Network


MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations


MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling


MixEHR-SurG: a joint proportional hazard and guided topic model for inferring mortality-associated topics from electronic health records


MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error Correction


MixFaceNets: Extremely Efficient Face Recognition Networks


MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition


MixFlows: principled variational inference via mixed flows


MixFormerV2: Efficient Fully Transformer Tracking


MixFunn: A Neural Network for Differential Equations with Improved Generalization and Interpretability


MixLacune: Segmentation of lacunes of presumed vascular origin


MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers


MixMAS: A Framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and Learning


MixMask: Revisiting Masking Strategy for Siamese ConvNets


MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds


MixMicrobleedNet: segmentation of cerebral microbleeds using nnU-Net


MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks


MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs


MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification


MixNet: Multi-modality Mix Network for Brain Segmentation


MixNet: Structured Deep Neural Motion Prediction for Autonomous Racing


MixNet: Toward Accurate Detection of Challenging Scene Text in the Wild


MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering


MixPath: A Unified Approach for One-shot Neural Architecture Search


MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer


MixQG: Neural Question Generation with Mixed Answer Types


MixRED: A Mix-lingual Relation Extraction Dataset


MixRec: Heterogeneous Graph Collaborative Filtering


MixRep: Hidden Representation Mixup for Low-Resource Speech Recognition


MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition


MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video


MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures


MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection


MixTEA: Semi-supervised Entity Alignment with Mixture Teaching


MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection


MixTex: Unambiguous Recognition Should Not Rely Solely on Real Data


MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification


MixTwice: large-scale hypothesis testing for peptide arrays by variance mixing


MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis


MixVPR: Feature Mixing for Visual Place Recognition


Mixat: A Data Set of Bilingual Emirati-English Speech


Mixed $\mathcal{H}_2/\mathcal{H}_\infty$-Policy Learning Synthesis


Mixed Attention Network for Cross-domain Sequential Recommendation


Mixed Attention Network for Hyperspectral Image Denoising


Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning


Mixed Cloud Control Testbed: Validating Vehicle-Road-Cloud Integration via Mixed Digital Twin


Mixed Cross Entropy Loss for Neural Machine Translation


Mixed Diffusion for 3D Indoor Scene Synthesis


Mixed Effect Modeling and Variable Selection for Quantile Regression


Mixed Evidence for Gestalt Grouping in Deep Neural Networks


Mixed Fields Formulation for Electromagnetic Waves Confined in Dielectric Rings


Mixed Graph Signal Analysis of Joint Image Denoising / Interpolation


Mixed Hierarchy Network for Image Restoration


Mixed High-Order Attention Network for Person Re-Identification


Mixed Hodge structures on character varieties of nilpotent groups


Mixed Information Flow for Cross-domain Sequential Recommendations


Mixed Integer Programming for Time-Optimal Multi-Robot Coverage Path Planning with Efficient Heuristics


Mixed Membership Graph Clustering via Systematic Edge Query


Mixed Models with Multiple Instance Learning


Mixed Monotonic Programming for Fast Global Optimization


Mixed Neural Voxels for Fast Multi-view Video Synthesis


Mixed Noise and Posterior Estimation with Conditional DeepGEM


Mixed Non-linear Quantization for Vision Transformers


Mixed Precision FGMRES-Based Iterative Refinement for Weighted Least Squares


Mixed Precision Iterative Refinement with Sparse Approximate Inverse Preconditioning


Mixed Precision Rayleigh Quotient Iteration for Total Least Squares Problems


Mixed Pseudo Labels for Semi-Supervised Object Detection


Mixed Reality Environment and High-Dimensional Continuification Control for Swarm Robotics


Mixed Signals: Understanding Model Disagreement in Multimodal Empathy Detection


Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity


Mixed Transformer U-Net For Medical Image Segmentation


Mixed and multipoint finite element methods for rotation-based poroelasticity


Mixed approximation of nonlinear acoustic equations: Well-posedness and a priori error analysis


Mixed data Deep Gaussian Mixture Model: A clustering model for mixed datasets


Mixed effects models for healthcare longitudinal data with an informative visiting process: a Monte Carlo simulation study


Mixed finite elements for Bingham flow in a pipe


Mixed finite elements for the Gross-Pitaevskii eigenvalue problem: a priori error analysis and guaranteed lower energy bound


Mixed integer linear optimization formulations for learning optimal binary classification trees


Mixed precision sketching for least-squares problems and its application in GMRES-based iterative refinement


Mixed-Dimensional Quantum Circuit Simulation with Decision Diagrams


Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation


Mixed-Initiative Level Design with RL Brush


Mixed-Integer Linear Programming Models for Multi-Robot Non-Adversarial Search


Mixed-Integer Nonlinear Programming for State-based Non-Intrusive Load Monitoring


Mixed-Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Electric Vehicle Energy Management


Mixed-Integer Optimization for Loopless Flux Distributions in Metabolic Networks


Mixed-Integer Programming for Signal Temporal Logic with Fewer Binary Variables


Mixed-Integer Programming for the ROADEF/EURO 2020 challenge


Mixed-Order Spectral Clustering for Networks


Mixed-Precision Paterson--Stockmeyer Method for Evaluating Polynomials of Matrices


Mixed-Precision Quantization for Deep Vision Models with Integer Quadratic Programming


Mixed-Precision Random Projection for RandNLA on Tensor Cores


Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints


Mixed-R1: Unified Reward Perspective For Reasoning Capability in Multimodal Large Language Models


Mixed-Reality Robot Behavior Replay: A System Implementation


Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes


Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor Decomposition


Mixed-effects transformers for hierarchical adaptation


Mixed-feature Logistic Regression Robust to Distribution Shifts


Mixed-granularity Implicit Representation for Continuous Hyperspectral Compressive Reconstruction


Mixed-integer linear programming approaches for tree partitioning of power networks


Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA


Mixed-mode Ensemble Asteroseismology of Low-Luminosity Kepler Red Giants


Mixed-precision Neural Networks on RISC-V Cores: ISA extensions for Multi-Pumped Soft SIMD Operations


Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration


MixedGaussianAvatar: Realistically and Geometrically Accurate Head Avatar via Mixed 2D-3D Gaussian Splatting


MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers


Mixing Bispectrum Multipoles Under Geometric Distortions


Mixing Condition Numbers and Oracles for Accurate Floating-point Debugging


Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories


Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping


Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series


Mixing and $CP$ violation in $D^0 \to K^- π^+$ decays


Mixing and Shifting: Exploiting Global and Local Dependencies in Vision MLPs


Mixing as a correlated aggregation process


Mixing between flavor singlets in lattice gauge theories coupled to matter fields in multiple representations


Mixing of the No-U-Turn Sampler and the Geometry of Gaussian Concentration


Mixing patterns and individual differences in networks


Mixing time of the conditional backward sampling particle filter


Mixing times of data-augmentation Gibbs samplers for high-dimensional probit regression


Mixing-Specific Data Augmentation Techniques for Improved Blind Violin/Piano Source Separation


MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform


Mixstyle-Entropy: Domain Generalization with Causal Intervention and Perturbation


Mixture Complexity and Its Application to Gradual Clustering Change Detection


Mixture Content Selection for Diverse Sequence Generation


Mixture Dense Regression for Object Detection and Human Pose Estimation


Mixture Density Network Estimation of Continuous Variable Maximum Likelihood Using Discrete Training Samples


Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance


Mixture Hidden Markov Models for Sequence Data: The seqHMM Package in R


Mixture Model Auto-Encoders: Deep Clustering through Dictionary Learning


Mixture Models for Photometric Redshifts


Mixture Proportion Estimation Beyond Irreducibility


Mixture of Attention Heads: Selecting Attention Heads Per Token


Mixture of Conditional Gaussian Graphical Models for unlabelled heterogeneous populations in the presence of co-factors


Mixture of Coupled HMMs for Robust Modeling of Multivariate Healthcare Time Series


Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models


Mixture of Diffusers for scene composition and high resolution image generation


Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models


Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification


Mixture of Experts Meets Prompt-Based Continual Learning


Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition


Mixture of In-Context Experts Enhance LLMs' Long Context Awareness


Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling


Mixture of Low-rank Experts for Transferable AI-Generated Image Detection


Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds


Mixture of Modular Experts: Distilling Knowledge from a Multilingual Teacher into Specialized Modular Language Models


Mixture of Multicenter Experts in Multimodal Generative AI for Advanced Radiotherapy Target Delineation


Mixture of Online and Offline Experts for Non-stationary Time Series


Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants


Mixture of Sparse Attention: Content-Based Learnable Sparse Attention via Expert-Choice Routing


Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases


Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling


Mixture of Weak & Strong Experts on Graphs


Mixture of hidden Markov models for accelerometer data


Mixture of regressions with multivariate responses for discovering subtypes in Alzheimer's biomarkers with detection limits


Mixture of segmentation for heterogeneous functional data


Mixture representations and Bayesian nonparametric inference for likelihood ratio ordered distributions


Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank


Mixture-Models: a one-stop Python Library for Model-based Clustering using various Mixture Models


Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension


Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models Memories


Mixture-of-Experts Variational Autoencoder for Clustering and Generating from Similarity-Based Representations on Single Cell Data


Mixture-of-Linear-Experts for Long-term Time Series Forecasting


Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity


Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT


Mixture-of-Subspaces in Low-Rank Adaptation


Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts


Mixture-of-tastes Models for Representing Users with Diverse Interests


MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters


Mixtures of Gaussian process experts based on kernel stick-breaking processes


Mixtures of multivariate linear asymmetric Laplace regressions with multiple asymmetric Laplace covariates


Mixtures, envelopes, and hierarchical duality


Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions


Mixup Model Merge: Enhancing Model Merging Performance through Randomized Linear Interpolation


Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators


MixupE: Understanding and Improving Mixup from Directional Derivative Perspective


MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation


MlTr: Multi-label Classification with Transformer


Mmm whatcha say? Uncovering distal and proximal context effects in first and second-language word perception using psychophysical reverse correlation


MmmTurkey: A Crowdsourcing Framework for Deploying Tasks and Recording Worker Behavior on Amazon Mechanical Turk


MnTTS2: An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset


MnTTS: An Open-Source Mongolian Text-to-Speech Synthesis Dataset and Accompanied Baseline


Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation


Mo3: a Modular Mobility Model for future generation mobile wireless networks


MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression


MoAI: Mixture of All Intelligence for Large Language and Vision Models


MoBA: Mixture of Block Attention for Long-Context LLMs


MoBYv2AL: Self-supervised Active Learning for Image Classification


MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks


MoCE: Adaptive Mixture of Contextualization Experts for Byte-based Neural Machine Translation


MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph


MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control


MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenes


MoCoDA: Model-based Counterfactual Data Augmentation


MoCoLSK: Modality Conditioned High-Resolution Downscaling for Land Surface Temperature


MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation


MoDA: Modeling Deformable 3D Objects from Casual Videos


MoDL-QSM: Model-based Deep Learning for Quantitative Susceptibility Mapping


MoDL: Model Based Deep Learning Architecture for Inverse Problems


MoDS: Model-oriented Data Selection for Instruction Tuning


MoDeRNN: Towards Fine-grained Motion Details for Spatiotemporal Predictive Learning


MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations


MoDi: Unconditional Motion Synthesis from Diverse Data


MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity Talking Head Generation


MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks


MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection


MoE-MLoRA for Multi-Domain CTR Prediction: Efficient Adaptation with Expert Specialization


MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation


MoEDiff-SR: Mixture of Experts-Guided Diffusion Model for Region-Adaptive MRI Super-Resolution


MoEUT: Mixture-of-Experts Universal Transformers


MoEdit: On Learning Quantity Perception for Multi-object Image Editing


MoEmo Vision Transformer: Integrating Cross-Attention and Movement Vectors in 3D Pose Estimation for HRI Emotion Detection


MoExtend: Tuning New Experts for Modality and Task Extension


MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models


MoFaNeRF: Morphable Facial Neural Radiance Field


MoFlow: An Invertible Flow Model for Generating Molecular Graphs


MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing Networks


MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze


MoLEx: Mixture of Layer Experts for Finetuning with Sparse Upcycling


MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition


MoM: Linear Sequence Modeling with Mixture-of-Memories


MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis


MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation


MoME: Mixture of Multimodal Experts for Cancer Survival Prediction


MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models


MoMask: Generative Masked Modeling of 3D Human Motions


MoMo: Momentum Models for Adaptive Learning Rates


MoNTA: Accelerating Mixture-of-Experts Training with Network-Traffc-Aware Parallel Optimization


MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time


MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation


MoPA: Multi-Modal Prior Aided Domain Adaptation for 3D Semantic Segmentation


MoPE: Mixture of Prefix Experts for Zero-Shot Dialogue State Tracking


MoPE: Mixture of Prompt Experts for Parameter-Efficient and Scalable Multimodal Fusion


MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation


MoPeDT: A Modular Head-Mounted Display Toolkit to Conduct Peripheral Vision Research


MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning


MoRAG -- Multi-Fusion Retrieval Augmented Generation for Human Motion


MoRE-LLM: Mixture of Rule Experts Guided by a Large Language Model


MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning


MoRE: Multi-Modal Contrastive Pre-training with Transformers on X-Rays, ECGs, and Diagnostic Report


MoRPI: Mobile Robot Pure Inertial Navigation


MoRe Fine-Tuning with 10x Fewer Parameters


MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation


MoSA: Mixture of Sparse Adapters for Visual Efficient Tuning


MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion


MoSS: Monocular Shape Sensing for Continuum Robots


MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning


MoST: Motion Style Transformer between Diverse Action Contents


MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds


MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning


MoStGAN-V: Video Generation with Temporal Motion Styles


MoT: Memory-of-Thought Enables ChatGPT to Self-Improve


MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks


MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer


MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution


MoULDyS: Monitoring of Autonomous Systems in the Presence of Uncertainties


MoVA: Adapting Mixture of Vision Experts to Multimodal Context


MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations


MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks


MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond


MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property


MobA: Multifaceted Memory-Enhanced Adaptive Planning for Efficient Mobile Task Automation


MobIE: A German Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in the Mobility Domain


MobILE: Model-Based Imitation Learning From Observation Alone


MobiCoMonkey - Context Testing of Android Apps


MobiFace: A Novel Dataset for Mobile Face Tracking in the Wild


MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT


MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU


MobiVital: Self-supervised Time-series Quality Estimation for Contactless Respiration Monitoring Using UWB Radar


Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running


Mobile Edge Generation-Enabled Digital Twin: Architecture Design and Research Opportunities


Mobile Energy Requirements of the Upcoming NIST Post-Quantum Cryptography Standards


Mobile Human Ad Hoc Networks: A Communication Engineering Viewpoint on Interhuman Airborne Pathogen Transmission


Mobile Manipulation Instruction Generation from Multiple Images with Automatic Metric Enhancement


Mobile MoCap: Retroreflector Localization On-The-Go


Mobile Robot Manipulation using Pure Object Detection


Mobile Social Big Data: WeChat Moments Dataset, Network Applications, and Opportunities


Mobile Touchless Fingerprint Recognition: Implementation, Performance and Usability Aspects


Mobile User Interface Element Detection Via Adaptively Prompt Tuning


Mobile Vision Transformer-based Visual Object Tracking


Mobile authentication of copy detection patterns: how critical is to know fakes?


Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents


Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmark


Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots


Mobile-URSONet: an Embeddable Neural Network for Onboard Spacecraft Pose Estimation


Mobile-VideoGPT: Fast and Accurate Video Understanding Language Model


MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices


MobileFace: 3D Face Reconstruction with Efficient CNN Regression


MobileFaceSwap: A Lightweight Framework for Video Face Swapping


MobileIQA: Exploiting Mobile-level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge Distillation


MobileMEF: Fast and Efficient Method for Multi-Exposure Fusion


MobileNMT: Enabling Translation in 15MB and 30ms


MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures


MobileNetV2: A lightweight classification model for home-based sleep apnea screening


MobilePoser: Real-Time Full-Body Pose Estimation and 3D Human Translation from IMUs in Mobile Consumer Devices


MobileQuant: Mobile-friendly Quantization for On-device Language Models


MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device Control


MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation


MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation


MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding


MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications


MobileViM: A Light-weight and Dimension-independent Vision Mamba for 3D Medical Image Analysis


Mobility Changes in Response to COVID-19


Mobility and Threshold Voltage Extraction in Transistors with Gate-Voltage-Dependent Contact Resistance


Mobility patterns of the Portuguese population during the COVID-19 pandemic


Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning


Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Models


Mobility-aware Seamless Service Migration and Resource Allocation in Multi-edge IoV Systems


Mobility-based contact exposure explains the disparity of spread of COVID-19 in urban neighborhoods


Mobilkit: A Python Toolkit for Urban Resilience and Disaster Risk Management Analytics using High Frequency Human Mobility Data


Mobius: A High Efficient Spatial-Temporal Parallel Training Paradigm for Text-to-Video Generation Task


Mobius: Text to Seamless Looping Video Generation via Latent Shift


Moccasin: Efficient Tensor Rematerialization for Neural Networks


Mock Galaxy Surveys for HST and JWST from the IllustrisTNG Simulations


Mock data study for next-generation ground-based detectors: The performance loss of matched filtering due to correlated confusion noise


MockConf: A Student Interpretation Dataset: Analysis, Word- and Span-level Alignment and Baselines


MockingBERT: A Method for Retroactively Adding Resilience to NLP Models


Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces


Moco: A Learnable Meta Optimizer for Combinatorial Optimization


ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities


ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture


ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias


ModRWKV: Transformer Multimodality in Linear Time


ModSec-AdvLearn: Countering Adversarial SQL Injections with Robust Machine Learning


ModSec-Learn: Boosting ModSecurity with Machine Learning


ModaLink: Unifying Modalities for Efficient Image-to-PointCloud Place Recognition


ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations


ModaVerse: Efficiently Transforming Modalities with LLMs


Modal Functional (Dialectica) Interpretation


Modal-adaptive Knowledge-enhanced Graph-based Financial Prediction from Monetary Policy Conference Calls with LLM


Modal-set estimation with an application to clustering


Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval


ModalChorus: Visual Probing and Alignment of Multi-modal Embeddings via Modal Fusion Map


ModalPINN: an extension of Physics-Informed Neural Networks with enforced truncated Fourier decomposition for periodic flow reconstruction using a limited number of imperfect sensors


Modality Adaption or Regularization? A Case Study on End-to-End Speech Translation


Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation


Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval


Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI


Modality Interactive Mixture-of-Experts for Fake News Detection


Modality Plug-and-Play: Elastic Modality Adaptation in Multimodal LLMs for Embodied AI


Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge


Modality and Negation in Event Extraction


Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion


Modality-Aware Contrastive Instance Learning with Self-Distillation for Weakly-Supervised Audio-Visual Violence Detection


Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding


Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models


Modality-Aware Representation Learning for Zero-shot Sketch-based Image Retrieval


Modality-Aware Shot Relating and Comparing for Video Scene Detection


Modality-Aware Triplet Hard Mining for Zero-shot Sketch-Based Image Retrieval


Modality-Balanced Learning for Multimedia Recommendation


Modality-Collaborative Transformer with Hybrid Feature Reconstruction for Robust Emotion Recognition


Modality-Composable Diffusion Policy via Inference-Time Distribution-level Composition


Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking


Modality-Independent Brain Lesion Segmentation with Privacy-aware Continual Learning


Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation


Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser


Modality-Projection Universal Model for Comprehensive Full-Body Medical Imaging Segmentation


Modality-Transferable Emotion Embeddings for Low-Resource Multimodal Emotion Recognition


Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention


Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation


Modality-invariant Visual Odometry for Embodied Vision


Modality-missing RGBT Tracking: Invertible Prompt Learning and High-quality Benchmarks


Mode Recognition by Shape Morphing for Maxwell's Eigenvalue Problem


Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis


Mode recovery in neural autoregressive sequence modeling


Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions


ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior


ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning


ModeTv2: GPU-accelerated Motion Decomposition Transformer for Pairwise Optimization in Medical Image Registration


Model Agnostic Interpretability for Multiple Instance Learning


Model Agnostic Local Explanations of Reject


Model Agnostic Sample Reweighting for Out-of-Distribution Learning


Model Analysis & Evaluation for Ambiguous Question Answering


Model Assessment and Selection under Temporal Distribution Shift


Model Attribution of Face-swap Deepfake Videos


Model Averaging Under Flexible Loss Functions


Model Balancing Helps Low-data Training and Fine-tuning


Model Calibration in Dense Classification with Adaptive Label Perturbation


Model Cards for AI Teammates: Comparing Human-AI Team Familiarization Methods for High-Stakes Environments


Model Checking Access Control Policies: A Case Study using Google Cloud IAM


Model Checking Finite-Horizon Markov Chains with Probabilistic Inference


Model Checking for Rectangular Hybrid Systems: A Quantified Encoding Approach


Model Checking the Security of the Lightning Network


Model Class Reliance: Variable Importance Measures for any Machine Learning Model Class, from the "Rashomon" Perspective


Model Comparison in Approximate Bayesian Computation


Model Composition for Multimodal Large Language Models


Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data?


Model Compression Techniques in Biometrics Applications: A Survey


Model Compression for Domain Adaptation through Causal Effect Estimation


Model Compression for Dynamic Forecast Combination


Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers


Model Criticism for Long-Form Text Generation


Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA


Model Degradation Hinders Deep Graph Neural Networks


Model Determination for High-Dimensional Longitudinal Data with Missing Observations: An Application to Microfinance Data


Model Doctor for Diagnosing and Treating Segmentation Error


Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers


Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue


Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm


Model Editing at Scale leads to Gradual and Catastrophic Forgetting


Model Editing for LLMs4Code: How Far are We?


Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging


Model Ensembling for Constrained Optimization


Model Enumeration of Two-Variable Logic with Quadratic Delay Complexity


Model Equality Testing: Which Model Is This API Serving?


Model Evidence with Fast Tree Based Quadrature


Model Explanations via the Axiomatic Causal Lens


Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization


Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!


Model Families for Multi-Criteria Decision Support: A COVID-19 Case Study


Model Fusion through Bayesian Optimization in Language Model Fine-Tuning


Model Fusion with Kullback--Leibler Divergence


Model Generalization on Text Attribute Graphs: Principles with Large Language Models


Model Generalization: A Sharpness Aware Optimization Perspective


Model Guidance via Explanations Turns Image Classifiers into Segmentation Models


Model Hubs and Beyond: Analyzing Model Popularity, Performance, and Documentation


Model Immunization from a Condition Number Perspective


Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image Classification


Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation


Model Inversion Attacks Through Target-Specific Conditional Diffusion Models


Model Inversion Attacks: A Survey of Approaches and Countermeasures


Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks


Model Learning for Look-ahead Exploration in Continuous Control