MARVEL: MR Fingerprinting with Additional micRoVascular Estimates using bidirectional LSTMs


MARVEL: Multi-Agent Reinforcement Learning for constrained field-of-View multi-robot Exploration in Large-scale environments


MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning


MARVEL: Raster Manga Vectorization via Primitive-wise Deep Reinforcement Learning


MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin


MARVIS: Motion & Geometry Aware Real and Virtual Image Segmentation


MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space Terrain


MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems


MAS-SAM: Segment Any Marine Animal with Aggregated Features


MAS2HP: A Multi Agent System to Predict Protein Structure in 2D HP model


MAS4POI: a Multi-Agents Collaboration System for Next POI Recommendation


MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution


MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition


MASA: Motif-Aware State Assignment in Noisy Time Series Data


MASA: Motion-aware Masked Autoencoder with Semantic Alignment for Sign Language Recognition


MASC: A Tool for Mutation-Based Evaluation of Static Crypto-API Misuse Detectors


MASC: Multi-scale Affinity with Sparse Convolution for 3D Instance Segmentation


MASCARA: Systematically Generating Memorable And Secure Passphrases


MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer


MASIM: An Efficient Multi-Array Scheduler for In-Memory SIMD Computation


MASIVE: Open-Ended Affective State Identification in English and Spanish


MASK: A flexible framework to facilitate de-identification of clinical texts


MASKDROID: Robust Android Malware Detection with Masked Graph Representations


MASKER: Masked Keyword Regularization for Reliable Text Classification


MASKSEARCH: A Universal Pre-Training Framework to Enhance Agentic Search Capability


MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems


MASON: A Model AgnoStic ObjectNess Framework


MASPA: An efficient strategy for path planning with a tethered marsupial robotics system


MASS: Multi-Agent Simulation Scaling for Portfolio Construction


MASSeg : 2nd Technical Report for 4th PVUW MOSE Track


MAST: A Memory-Augmented Self-supervised Tracker


MAST: Model-Agnostic Sparsified Training


MAST: Multimodal Abstractive Summarization with Trimodal Hierarchical Attention


MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformer


MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification


MAT-CNN-SOPC: Motionless Analysis of Traffic Using Convolutional Neural Networks on System-On-a-Programmable-Chip


MAT-Fly: an educational platform for simulating Unmanned Aerial Vehicles aimed to detect and track moving objects


MAT: Mask-Aware Transformer for Large Hole Image Inpainting


MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution


MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation


MATAWS: A Multimodal Approach for Automatic WS Semantic Annotation


MATCH: Metadata-Aware Text Classification in A Large Hierarchy


MATCH: Model-Aware TVM-based Compilation for Heterogeneous Edge Devices


MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data


MATCNN: Infrared and Visible Image Fusion Method Based on Multi-scale CNN with Attention Transformer


MATE: LLM-Powered Multi-Agent Translation Environment for Accessibility Applications


MATE: Masked Autoencoders are Online 3D Test-Time Learners


MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models


MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text Evaluation


MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning


MATHWELL: Generating Educational Math Word Problems Using Teacher Annotations


MATILDA.FT, a Mesoscale Simulation Package for Inhomogeneous Soft Matter


MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization


MATLAB Simulator of Level-Index Arithmetic


MATNet: Multi-Level Fusion Transformer-Based Model for Day-Ahead PV Generation Forecasting


MATNilm: Multi-appliance-task Non-intrusive Load Monitoring with Limited Labeled Data


MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control


MATT: A Multiple-instance Attention Mechanism for Long-tail Music Genre Classification


MAUIL: Multi-level Attribute Embedding for Semi-supervised User Identity Linkage


MAUS: A Dataset for Mental Workload Assessmenton N-back Task Using Wearable Sensor


MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers


MAVD: The First Open Large-Scale Mandarin Audio-Visual Dataset with Depth Information


MAVE: A Product Dataset for Multi-source Attribute Value Extraction


MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation


MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction


MAVEN: A Massive General Domain Event Detection Dataset


MAVEN: Multi-Agent Variational Exploration


MAVEN: Multi-modal Attention for Valence-Arousal Emotion Network


MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles


MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology Features


MAVIN: Multi-Action Video Generation with Diffusion Models via Transition Video Infilling


MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine


MAVIS: Multi-Camera Augmented Visual-Inertial SLAM using SE2(3) Based Exact IMU Pre-integration


MAVL: A Multilingual Audio-Video Lyrics Dataset for Animated Song Translation


MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based Tasks


MAYA: Addressing Inconsistencies in Generative Password Guessing through a Unified Benchmark


MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation


MAexp: A Generic Platform for RL-based Multi-Agent Exploration


MAg: a simple learning-based patient-level aggregation method for detecting microsatellite instability from whole-slide images


MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration


MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning


MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations


MAiDE-up: Multilingual Deception Detection of GPT-generated Hotel Reviews


MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge


MAtt: A Manifold Attention Network for EEG Decoding


MAttNet: Modular Attention Network for Referring Expression Comprehension


MB-ORES: A Multi-Branch Object Reasoner for Visual Grounding in Remote Sensing


MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image Restoration


MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity


MBA-SLAM: Motion Blur Aware Dense Visual SLAM with Radiance Fields Representation


MBAPPE: MCTS-Built-Around Prediction for Planning Explicitly


MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMs


MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration


MBD-NODE: Physics-informed data-driven modeling and simulation of constrained multibody systems


MBDRes-U-Net: Multi-Scale Lightweight Brain Tumor Segmentation Network


MBDS: A Multi-Body Dynamics Simulation Dataset for Graph Networks Simulators


MBE-ARI: A Multimodal Dataset Mapping Bi-directional Engagement in Animal-Robot Interaction


MBIAS: Mitigating Bias in Large Language Models While Retaining Context


MBIS: Multivariate Bayesian Image Segmentation Tool


MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation


MBQ: Modality-Balanced Quantization for Large Vision-Language Models


MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression


MBSS-T1: Model-Based Subject-Specific Self-Supervised Motion Correction for Robust Cardiac T1 Mapping


MBTI Personality Prediction for Fictional Characters Using Movie Scripts


MC$^2$: Multi-concept Guidance for Customized Multi-concept Generation


MC$^2$: Towards Transparent and Culturally-Aware NLP for Minority Languages in China


MC-BERT: Efficient Language Pre-Training via a Meta Controller


MC-Bench: A Benchmark for Multi-Context Visual Grounding in the Era of MLLMs


MC-CoT: A Modular Collaborative CoT Framework for Zero-shot Medical-VQA with LLM and MLLM Integration


MC-DBN: A Deep Belief Network-Based Model for Modality Completion


MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction


MC-GEN:Multi-level Clustering for Private Synthetic Data Generation


MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations


MC-MLP:Multiple Coordinate Frames in all-MLP Architecture for Vision


MC-MoE: Mixture Compressor for Mixture-of-Experts LLMs Gains More


MC-PanDA: Mask Confidence for Panoptic Domain Adaptation


MC-Stereo: Multi-peak Lookup and Cascade Search Range for Stereo Matching


MC-UNet Multi-module Concatenation based on U-shape Network for Retinal Blood Vessels Segmentation


MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification


MCAM: Multimodal Causal Analysis Model for Ego-Vehicle-Level Driving Video Understanding


MCBTE: A variance-reduced Monte Carlo solution of the linearized Boltzmann transport equation for phonons


MCBench: A Benchmark Suite for Monte Carlo Sampling Algorithms


MCC-KD: Multi-CoT Consistent Knowledge Distillation


MCCE: Monte Carlo sampling of realistic counterfactual explanations


MCCoder: Streamlining Motion Control with LLM-Assisted Code Generation and Rigorous Verification


MCD64A1 Burnt Area Dataset Assessment using Sentinel-2 and Landsat-8 on Google Earth Engine: A Case Study in Rompin, Pahang in Malaysia


MCDAL: Maximum Classifier Discrepancy for Active Learning


MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI


MCDS-VSS: Moving Camera Dynamic Scene Video Semantic Segmentation by Filtering with Self-Supervised Geometry and Motion


MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic


MCFlow: Monte Carlo Flow Models for Data Imputation


MCGAN: Enhancing GAN Training with Regression-Based Generator Loss


MCGMapper: Light-Weight Incremental Structure from Motion and Visual Localization With Planar Markers and Camera Groups


MCI Detection using fMRI time series embeddings of Recurrence plots


MCL: Multi-view Enhanced Contrastive Learning for Chest X-ray Report Generation


MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement Learning


MCMC Importance Sampling via Moreau-Yosida Envelopes


MCMC for Bayesian estimation of Differential Privacy from Membership Inference Attacks


MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation


MCNNTUNES: tuning Shower Monte Carlo generators with machine learning


MCP-MedSAM: A Powerful Lightweight Medical Segment Anything Model Trained with a Single GPU in Just One Day


MCP-Solver: Integrating Language Models with Constraint Programming Systems


MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies


MCPDial: A Minecraft Persona-driven Dialogue Dataset


MCPNS: A Macropixel Collocated Position and Its Neighbors Search for Plenoptic 2.0 Video Coding


MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes


MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedback


MCRAGE: Synthetic Healthcare Data for Fairness


MCRL4OR: Multimodal Contrastive Representation Learning for Off-Road Environmental Perception


MCRanker: Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers


MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining


MCRepair: Multi-Chunk Program Repair via Patch Optimization with Buggy Block


MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction


MCSDNet: Mesoscale Convective System Detection Network via Multi-scale Spatiotemporal Information


MCSE: Multimodal Contrastive Learning of Sentence Embeddings


MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark


MCTS guided Genetic Algorithm for optimization of neural network weights


MCTS-GEB: Monte Carlo Tree Search is a Good E-graph Builder


MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search


MCTSteg: A Monte Carlo Tree Search-based Reinforcement Learning Framework for Universal Non-additive Steganography


MCTensor: A High-Precision Deep Learning Library with Multi-Component Floating-Point


MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving


MCTrans++: A 0-D Model for Centrifugal Mirrors


MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts


MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices


MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory


MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification


MCVO: A Generic Visual Odometry for Arbitrarily Arranged Multi-Cameras


MCW-Net: Single Image Deraining with Multi-level Connections and Wide Regional Non-local Blocks


MCWDST: a Minimum-Cost Weighted Directed Spanning Tree Algorithm for Real-Time Fake News Mitigation in Social Media


MCiteBench: A Multimodal Benchmark for Generating Text with Citations


MD Loss: Efficient Training of 3D Seismic Fault Segmentation Network under Sparse Labels by Weakening Anomaly Annotation


MD tree: a model-diagnostic tree grown on loss landscape


MD-BERT: Action Recognition in Dark Videos via Dynamic Multi-Stream Fusion and Temporal Modeling


MD-Bench: A generic proxy-app toolbox for state-of-the-art molecular dynamics algorithms


MD-HIT: Machine learning for materials property prediction with dataset redundancy control


MD-Recon-Net: A Parallel Dual-Domain Convolutional Neural Network for Compressed Sensing MRI


MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos


MD-ViSCo: A Unified Model for Multi-Directional Vital Sign Waveform Conversion


MDA GAN: Adversarial-Learning-based 3-D Seismic Data Interpolation and Reconstruction for Complex Missing


MDA: Availability-Aware Federated Learning Client Selection


MDACE: MIMIC Documents Annotated with Code Evidence


MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation


MDAPT: Multilingual Domain Adaptive Pretraining in a Single Model


MDCN: Multi-scale Dense Cross Network for Image Super-Resolution


MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition


MDCrow: Automating Molecular Dynamics Workflows with Large Language Models


MDCure: A Scalable Pipeline for Multi-Document Instruction-Following


MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents


MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation


MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation


MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction


MDEmic in a use case for microscopy metadata harmonization: Facilitating FAIR principles in practical application with metadata annotation tools


MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models


MDF-Net for abnormality detection by fusing X-rays with clinical data


MDF: A Dynamic Fusion Model for Multi-modal Fake News Detection


MDF: Magnetic Particle Imaging Data Format


MDFEND: Multi-domain Fake News Detection


MDFlow: Unsupervised Optical Flow Learning by Reliable Mutual Knowledge Distillation


MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object Detection


MDHP-Net: Detecting an Emerging Time-exciting Threat in IVN


MDIA: A Benchmark for Multilingual Dialogue Generation in 46 Languages


MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models


MDMMT: Multidomain Multimodal Transformer for Video Retrieval


MDMP: Multi-modal Diffusion for supervised Motion Predictions with uncertainty


MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning


MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction


MDPGT: Momentum-based Decentralized Policy Gradient Tracking


MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging Videos


MDRefine: a Python package for refining Molecular Dynamics trajectories with experimental data


MDS-ViTNet: Improving saliency prediction for Eye-Tracking with Vision Transformer


MDSC: Towards Evaluating the Style Consistency Between Music and Dance


MDTD: A Multi Domain Trojan Detector for Deep Neural Networks


MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets


MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding


MDsrv -- visual sharing and analysis of molecular dynamics simulations


ME-CPT: Multi-Task Enhanced Cross-Temporal Point Transformer for Urban 3D Change Detection


ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning


ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification


ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation


ME-PCN: Point Completion Conditioned on Mask Emptiness


MEA-Defender: A Robust Watermark against Model Extraction Attack


MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors


MEAL: Multi-Model Ensemble via Adversarial Learning


MEAL: Stable and Active Learning for Few-Shot Prompting


MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation


MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization


MEAT: Multiview Diffusion Model for Human Generation on Megapixels with Mesh Attention


MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics


MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks


MECG-E: Mamba-based ECG Enhancer for Baseline Wander Removal


MECPformer: Multi-estimations Complementary Patch with CNN-Transformers for Weakly Supervised Semantic Segmentation


MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition


MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference


MEDAL: A Framework for Benchmarking LLMs as Multilingual Open-Domain Chatbots and Dialogue Evaluators


MEDDAP: Medical Dataset Enhancement via Diversified Augmentation Pipeline


MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes


MEDFORD: A human and machine readable metadata markup language


MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis


MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification


MEDICI: A simple to use synthetic social network data generator


MEDIMP: 3D Medical Images with clinical Prompts from limited tabular data for renal transplantation


MEDITRON-70B: Scaling Medical Pretraining for Large Language Models


MEDL-U: Uncertainty-aware 3D Automatic Annotation based on Evidential Deep Learning


MEDOC: a Python wrapper to load MEDLINE into a local MySQL database


MEDPSeg: Hierarchical polymorphic multitask learning for the segmentation of ground-glass opacities, consolidation, and pulmonary structures on computed tomography


MEDUSA: A Multimodal Deep Fusion Multi-Stage Training Framework for Speech Emotion Recognition in Naturalistic Conditions


MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text Summarization


MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning


MEEK: Re-thinking Heterogeneous Parallel Error Detection Architecture for Real-World OoO Superscalar Processors


MEEL: Multi-Modal Event Evolution Learning


MEEP: An Open-Source Platform for Human-Human Dialog Collection and End-to-End Agent Training


MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling


MEEV: Body Mesh Estimation On Egocentric Video


MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion


MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter


MEG: Medical Knowledge-Augmented Large Language Models for Question Answering


MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks


MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts


MEGAN: Multi-Explanation Graph Attention Network


MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation


MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities


MEGH: A parametric class of general hazard models for clustered survival data


MEGS: Morphological Evaluation of Galactic Structure


MEIT: Multi-Modal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation


MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection


MELA: Multilingual Evaluation of Linguistic Acceptability


MELAGE: A purely python based Neuroimaging software (Neonatal)


MELD: Meta-Reinforcement Learning from Images via Latent State Models


MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG Diagnosis


MELLM: Exploring LLM-Powered Micro-Expression Understanding Enhanced by Subtle Motion Perception


MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER


MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations


MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA


MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents


MELOPPR: Software/Hardware Co-design for Memory-efficient Low-latency Personalized PageRank


MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation


MELT: Towards Automated Multimodal Emotion Data Annotation by Leveraging LLM Embedded Knowledge


MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models


MELTing point: Mobile Evaluation of Language Transformers


MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning


MEMD-ABSA: A Multi-Element Multi-Domain Dataset for Aspect-Based Sentiment Analysis


MEMERAG: A Multilingual End-to-End Meta-Evaluation Benchmark for Retrieval Augmented Generation


MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization


MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation


MEMO-QCD: Quantum Density Estimation through Memetic Optimisation for Quantum Circuit Design


MEMO: Test Time Robustness via Adaptation and Augmentation


MEMROC: Multi-Eye to Mobile RObot Calibration


MEMSDuino: An Arduino-Based MEMS Switch Controller


MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection


MEMTRACK: A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments


MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learning


MENLI: Robust Evaluation Metrics from Natural Language Inference


MENP: An Open-Source MATLAB Implementation of Multipole Expansion for Applications in Nanophotonics


MENSA: A Multi-Event Network for Survival Analysis under Informative Censoring


MENTOR: Guiding Hierarchical Reinforcement Learning with Human Feedback and Dynamic Distance Constraint


MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation


MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts


MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images


MEPNet: Medical Entity-balanced Prompting Network for Brain CT Report Generation


MERCURY: A fast and versatile multi-resolution based global emulator of compound climate hazards


MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs


MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images


MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning


MERLION: Marine ExploRation with Language guIded Online iNformative Visual Sampling and Enhancement


MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding


MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training


MERTech: Instrument Playing Technique Detection Using Self-Supervised Pretrained Model With Multi-Task Finetuning


MES-RAG: Bringing Multi-modal, Entity-Storage, and Secure Enhancements to RAG


MESA: Text-Driven Terrain Generation Using Latent Diffusion and Global Copernicus Data


MESED: A Multi-modal Entity Set Expansion Dataset with Fine-grained Semantic Classes and Hard Negative Entities


MESH: A Memory-Efficient Safe Heap for C/C++


MESIA: Understanding and Leveraging Supplementary Nature of Method-level Comments for Automatic Comment Generation


MESS: Modern Electronic Structure Simulations


META$^\mathbf{2}$: Memory-efficient taxonomic classification and abundance estimation for metagenomics with deep learning


META4: Semantically-Aligned Generation of Metaphoric Gestures Using Self-Supervised Text and Speech Representation


METAGUI 3: a graphical user interface for choosing the collective variables in molecular dynamics simulations


METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design


METEOR Guided Divergence for Video Captioning


METEOR: Evolutionary Journey of Large Language Models from Guidance to Self-Growth


METEOR: Melody-aware Texture-controllable Symbolic Orchestral Music Generation


METER: a mobile vision transformer architecture for monocular depth estimation


METFORD -- Mutation tEsTing Framework fOR anDroid


METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation


METOR: A Unified Framework for Mutual Enhancement of Objects and Relationships in Open-vocabulary Video Visual Relationship Detection


METRA: Scalable Unsupervised RL with Metric-Aware Abstraction


METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets


METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding


MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing


MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification


MEWL: Few-shot multimodal word learning with referential uncertainty


MEXA-CTP: Mode Experts Cross-Attention for Clinical Trial Outcome Prediction


MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment


MEXMA: Token-level objectives improve sentence representations


MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds


MEraser: An Effective Fingerprint Erasure Approach for Large Language Models


MEx: Multi-modal Exercises Dataset for Human Activity Recognition


MF-Box: Multi-fidelity and multi-scale emulation for the matter power spectrum


MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning


MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework


MF-MOS: A Motion-Focused Model for Moving Object Segmentation


MF-NeRF: Memory Efficient NeRF with Mixed-Feature Hash Table


MF-PAM: Accurate Pitch Estimation through Periodicity Analysis and Multi-level Feature Fusion


MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verification


MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks


MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information


MFBE: Leveraging Multi-Field Information of FAQs for Efficient Dense Retrieval


MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models


MFCCGAN: A Novel MFCC-Based Speech Synthesizer Using Adversarial Learning


MFCLIP: Multi-modal Fine-grained CLIP for Generalizable Diffusion Face Forgery Detection


MFCPji & MFIDji: New ImageJ Macros To Analyze Structure Formed In Magnetic Nanofluid


MFCalib: Single-shot and Automatic Extrinsic Calibration for LiDAR and Camera in Targetless Environments Based on Multi-Feature Edge


MFDFA: Efficient Multifractal Detrended Fluctuation Analysis in Python


MFDNet: Multi-Frequency Deflare Network for Efficient Nighttime Flare Removal


MFDS-Net: Multi-Scale Feature Depth-Supervised Network for Remote Sensing Change Detection with Global Semantic and Detail Information


MFE-ETP: A Comprehensive Evaluation Benchmark for Multi-modal Foundation Models on Embodied Task Planning


MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity Recognition


MFF-EINV2: Multi-scale Feature Fusion across Spectral-Spatial-Temporal Domains for Sound Event Localization and Detection


MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detection


MFGDiffusion: Mask-Guided Smoke Synthesis for Enhanced Forest Fire Detection


MFIT: Multi-Fidelity Thermal Modeling for 2.5D and 3D Multi-Chiplet Architectures


MFM-DA: Instance-Aware Adaptor and Hierarchical Alignment for Efficient Domain Adaptation in Medical Foundation Models


MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection


MFP: Making Full Use of Probability Maps for Interactive Image Segmentation


MFPP: Morphological Fragmental Perturbation Pyramid for Black-Box Model Explanations


MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video


MFST: A Python OpenFST Wrapper With Support for Custom Semirings and Jupyter Notebooks


MFTF: Mask-free Training-free Object Level Layout Control Diffusion Model


MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation


MFV: Application software for the visualization and characterization of the DC magnetic field distribution in circular coil systems


MFogHub: Bridging Multi-Regional and Multi-Satellite Data for Global Marine Fog Detection and Forecasting


MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training


MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction


MG-GCN: Scalable Multi-GPU GCN Training Framework


MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods


MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning


MG-MotionLLM: A Unified Framework for Motion Comprehension and Generation across Multiple Granularities


MG-Net: Learn to Customize QAOA with Circuit Depth Awareness


MG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce


MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process


MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation


MG-WFBP: Efficient Data Communication for Distributed Synchronous SGD Algorithms


MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations


MGBPv2: Scaling Up Multi-Grid Back-Projection Networks


MGC: A Complex-Valued Graph Convolutional Network for Directed Graphs


MGCBS: An Optimal and Efficient Algorithm for Solving Multi-Goal Multi-Agent Path Finding Problem


MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks


MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features


MGCVAE: Multi-objective Inverse Design via Molecular Graph Conditional Variational Autoencoder


MGD-SAM2: Multi-view Guided Detail-enhanced Segment Anything Model 2 for High-Resolution Class-agnostic Segmentation


MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction


MGFF-TDNN: A Multi-Granularity Feature Fusion TDNN Model with Depth-Wise Separable Module for Speaker Verification


MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection


MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms


MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification


MGIC: Multigrid-in-Channels Neural Network Architectures


MGIMM: Multi-Granularity Instruction Multimodal Model for Attribute-Guided Remote Sensing Image Detailed Description


MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media


MGMAE: Motion Guided Masking for Video Masked Autoencoding


MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction


MGN-Net: a multi-view graph normalizer for integrating heterogeneous biological network populations


MGNN: Graph Neural Networks Inspired by Distance Geometry Problem


MGNNI: Multiscale Graph Neural Networks with Implicit Layers


MGPATH: Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot WSI Classification


MGPBD: A Multigrid Accelerated Global XPBD Solver


MGR: Multi-generator Based Rationalization


MGSampler: An Explainable Sampling Strategy for Video Action Recognition


MGStream: Motion-aware 3D Gaussian for Streamable Dynamic Scene Reconstruction


MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark


MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection


MGTCOM: Community Detection in Multimodal Graphs


MGTR: End-to-End Mutual Gaze Detection with Transformer


MGait: Model-Based Gait Analysis Using Wearable Bend and Inertial Sensors


MGeo: Multi-Modal Geographic Pre-Training Method


MGpi: A Computational Model of Multiagent Group Perception and Interaction


MH-DETR: Video Moment and Highlight Detection with Cross-modal Transformer


MHAD: Multimodal Home Activity Dataset with Multi-Angle Videos and Synchronized Physiological Signals


MHAF-YOLO: Multi-Branch Heterogeneous Auxiliary Fusion YOLO for accurate object detection


MHANet: Multi-scale Hybrid Attention Network for Auditory Attention Detection


MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series


MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation


MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction


MHNF: Multi-hop Heterogeneous Neighborhood information Fusion graph representation learning


MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation


MHPP: Exploring the Capabilities and Limitations of Language Models Beyond Basic Code Generation


MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D Views


MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification


MHSA: A Multi-scale Hypergraph Network for Mild Cognitive Impairment Detection via Synchronous and Attentive Fusion


MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding


MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization


MHVG2MTS: Multilayer Horizontal Visibility Graphs for Multivariate Time Series Analysis


MIA-3DCNN: COVID-19 Detection Based on a 3D CNN


MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs


MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models


MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector


MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation


MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment


MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI


MICDIR: Multi-scale Inverse-consistent Deformable Image Registration using UNetMSS with Self-Constructing Graph Latent


MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools


MICE: Mining Idioms with Contextual Embeddings


MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning


MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation


MICO: Selective Search with Mutual Information Co-training


MICP-L: Mesh-based ICP for Robot Localization using Hardware-Accelerated Ray Casting


MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator


MICROSIM: A high performance phase-field solver based on CPU and GPU implementations


MICSim: A Modular Simulator for Mixed-signal Compute-in-Memory based AI Accelerator


MICo: Improved representations via sampling-based state similarity for Markov decision processes


MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM


MID: A Comprehensive Shore-Based Dataset for Multi-Scale Dense Ship Occlusion and Interaction Scenarios


MIDAS: A Dialog Act Annotation Scheme for Open Domain Human Machine Spoken Conversations


MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Autonomous Navigation


MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning


MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling


MIDI-Sandwich2: RNN-based Hierarchical Multi-modal Fusion Generation VAE networks for multi-track symbolic music generation


MIDIS: JWST/MIRI reveals the Stellar Structure of ALMA-selected Galaxies in the Hubble-UDF at Cosmic Noon


MIDSX: A Monte Carlo Interaction and Dosimetry Simulation of X-rays


MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification


MIFI: MultI-camera Feature Integration for Roust 3D Distracted Driver Activity Recognition


MIGE: A Unified Framework for Multimodal Instruction-Based Image Generation and Editing


MIGHTEE Polarization Early Science Fields: The Deep Polarized Sky


MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs


MIGS: Meta Image Generation from Scene Graphs


MIIDL: a Python package for microbial biomarkers identification powered by interpretable deep learning


MILAN: Masked Image Pretraining on Language Assisted Representation


MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels


MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments


MILE: A Multi-Level Framework for Scalable Graph Embedding


MILE: A Mutation Testing Framework of In-Context Learning Systems


MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion


MILLION: Mastering Long-Context LLM Inference Via Outlier-Immunized KV Product Quantization


MILPaC: A Novel Benchmark for Evaluating Translation of Legal Text to Indian Languages


MILU: A Multi-task Indic Language Understanding Benchmark


MIM-GAN-based Anomaly Detection for Multivariate Time Series Data


MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization


MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations


MIM4D: Masked Modeling with Multi-View Video for Autonomous Driving Representation Learning


MIMA -- Multifunctional IoT Integrated Menstrual Aid


MIMDRAM: An End-to-End Processing-Using-DRAM System for High-Throughput, Energy-Efficient and Programmer-Transparent Multiple-Instruction Multiple-Data Processing


MIME: MIMicking Emotions for Empathetic Response Generation


MIMEx: Intrinsic Rewards from Masked Input Modeling


MIMIC: Masked Image Modeling with Image Correspondences


MIMIC: Multimodal Islamophobic Meme Identification and Classification


MIMICS: A Large-Scale Data Collection for Search Clarification


MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness


MIMIX: a Bayesian Mixed-Effects Model for Microbiome Data from Designed Experiments


MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning


MIMNet: Multi-Interest Meta Network with Multi-Granularity Target-Guided Attention for Cross-domain Recommendation


MIMO Channel Estimation using Score-Based Generative Models


MIMO Channel Shaping and Rate Maximization Using Beyond Diagonal RIS


MIMO Is All You Need : A Strong Multi-In-Multi-Out Baseline for Video Prediction


MIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with Unknown Number of Sound Sources


MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition


MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization


MIMOSA: Reducing Malware Analysis Overhead with Coverings


MIMo: A Multi-Modal Infant Model for Studying Cognitive Development


MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification


MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals


MIND: Inductive Mutual Information Estimation, A Convex Maximum-Entropy Copula Approach


MIND: Maximum Mutual Information Based Neural Decoder


MIND: Multi-Task Incremental Network Distillation


MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding


MINE GRAPH RULE: A New Cypher-like Operator for Mining Association Rules on Property Graphs


MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis


MINER: A Hybrid Data-Driven Approach for REST API Fuzzing


MINER: Mining the Underlying Pattern of Modality-Specific Neurons in Multimodal Large Language Models


MINERS: Multilingual Language Models as Semantic Retrievers


MINIMA: Modality Invariant Image Matching


MINIMAL: Mining Models for Data Free Universal Adversarial Triggers


MINIMALIST: Mutual INformatIon Maximization for Amortized Likelihood Inference from Sampled Trajectories


MINOTAUR: Multi-task Video Grounding From Multimodal Queries


MINS: Efficient and Robust Multisensor-aided Inertial Navigation System


MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens


MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning


MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks


MINT: a Multi-modal Image and Narrative Text Dubbing Dataset for Foley Audio Content Planning and Generation


MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge


MINTY: Rule-based Models that Minimize the Need for Imputing Features with Missing Values


MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves


MINet: Multi-scale Interactive Network for Real-time Salient Object Detection of Strip Steel Surface Defects


MIO: A Foundation Model on Multimodal Tokens


MIONet: Learning multiple-input operators via tensor product


MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers


MIPD: A Multi-sensory Interactive Perception Dataset for Embodied Intelligent Driving


MIPHEI-ViT: Multiplex Immunofluorescence Prediction from H&E Images using ViT Foundation Models


MIPO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning


MIPROT: A Medical Image Processing Toolbox for MATLAB


MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models


MIPT-NSU-UTMN at SemEval-2021 Task 5: Ensembling Learning with Pre-trained Language Models for Toxic Spans Detection


MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech Recognition


MIRA: A Computational Neuro-Based Cognitive Architecture Applied to Movie Recommender Systems


MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms


MIRACLE: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control


MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation Systems


MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations


MIRAGE: Exploring How Large Language Models Perform in Complex Social Interactive Environments


MIRAGE: Multimodal foundation model and benchmark for comprehensive retinal OCT image analysis


MIRAGE: Quantum Circuit Decomposition and Routing Collaborative Design using Mirror Gates


MIRB: Mathematical Information Retrieval Benchmark


MIRFLEX: Music Information Retrieval Feature Library for Extraction


MIRROR: Cognitive Inner Monologue Between Conversational Turns for Persistent Reflection and Reasoning in Conversational LLMs


MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication


MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention


MIRe: Enhancing Multimodal Queries Representation via Fusion-Free Modality Interaction for Multimodal Retrieval


MIReAD: Simple Method for Learning High-quality Representations from Scientific Documents


MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset


MIS-ME: A Multi-modal Framework for Soil Moisture Estimation


MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis


MISAR: A Multimodal Instructional System with Augmented Reality


MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support Conversation


MISCA: A Joint Model for Multiple Intent Detection and Slot Filling with Intent-Slot Co-Attention


MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting


MISFIT-V: Misaligned Image Synthesis and Fusion using Information from Thermal and Visual


MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models


MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types


MISR: Measuring Instrumental Self-Reasoning in Frontier Models


MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation


MISS: Multiclass Interpretable Scoring Systems


MISSFormer: An Effective Medical Image Segmentation Transformer


MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation


MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet


MIST-CF: Chemical formula inference from tandem mass spectra


MIST: A Novel Training Strategy for Low-latencyScalable Neural Net Decoders


MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework


MIST: Medical Image Segmentation Transformer with Convolutional Attention Mixing (CAM) Decoder


MIST: Multi-modal Iterative Spatial-Temporal Transformer for Long-form Video Question Answering


MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection


MIST: a Large-Scale Annotated Resource and Neural Models for Functions of Modal Verbs in English Scientific Text


MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning


MITFAS: Mutual Information based Temporal Feature Alignment and Sampling for Aerial Video Action Recognition


MITHRIL: Mining Sporadic Associations for Cache Prefetching


MITO: Enabling Non-Line-of-Sight Perception using Millimeter-waves through Real-World Datasets and Simulation Tools


MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks


MITS: A Quantum Sorcerer Stone For Designing Surface Codes


MIXAD: Memory-Induced Explainable Time Series Anomaly Detection


MIXALIME: MIXture models for ALlelic IMbalance Estimation in high-throughput sequencing data


MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation


MIXED-SENSE: A Mixed Reality Sensor Emulation Framework for Test and Evaluation of UAVs Against False Data Injection Attacks


MIXGAN: Learning Concepts from Different Domains for Mixture Generation


MIZAN: A Large Persian-English Parallel Corpus


MInD: Improving Multimodal Sentiment Analysis via Multimodal Information Disentanglement


MIntRec: A New Dataset for Multimodal Intent Recognition


MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?


MK-SQuIT: Synthesizing Questions using Iterative Template-filling


MKA: A Scalable Medical Knowledge Assisted Mechanism for Generative Models on Medical Conversation Tasks


MKLpy: a python-based framework for Multiple Kernel Learning


ML Algorithm Synthesizing Domain Knowledge for Fungal Spores Concentration Prediction


ML with HE: Privacy Preserving Machine Learning Inferences for Genome Studies


ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking Data


ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code


ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer


ML-Decoder: Scalable and Versatile Classification Head


ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows


ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models


ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science


ML-LBM: Machine Learning Aided Flow Simulation in Porous Media


ML-SIM: A deep neural network for reconstruction of structured illumination microscopy images


ML-SemReg: Boosting Point Cloud Registration with Multi-level Semantic Consistency


ML-aided power allocation for Tactical MIMO


ML4C: Seeing Causality Through Latent Vicinity


ML4Chem: A Machine Learning Package for Chemistry and Materials Science


ML4ML: Automated Invariance Testing for Machine Learning Models


MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network


MLAE: Masked LoRA Experts for Visual Parameter-Efficient Fine-Tuning


MLAN: Language-Based Instruction Tuning Improves Zero-Shot Generalization of Multimodal Large Language Models


MLANE: Meta-Learning Based Adaptive Network Embedding


MLANet: Multi-Level Attention Network with Sub-instruction for Continuous Vision-and-Language Navigation


MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation


MLBiNet: A Cross-Sentence Collective Event Detection Network


MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine Learning


MLCheck- Property-Driven Testing of Machine Learning Models


MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks


MLDT: Multi-Level Decomposition for Complex Long-Horizon Robotic Task Planning with Open-Source Large Language Model


MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios


MLDev: Data Science Experiment Automation and Reproducibility Software


MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering


MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering


MLE-guided parameter search for task loss minimization in neural sequence modeling


MLEM: Generative and Contrastive Learning as Distinct Modalities for Event Sequences


MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies


MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection


MLFMF: Data Sets for Machine Learning for Mathematical Formalization


MLGO: a Machine Learning Guided Compiler Optimizations Framework


MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge


MLI-NeRF: Multi-Light Intrinsic-Aware Neural Radiance Fields


MLIC: A MaxSAT-Based framework for learning interpretable classification rules


MLKAPS: Machine Learning and Adaptive Sampling for HPC Kernel Auto-tuning


MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage


MLKV: Multi-Layer Key-Value Heads for Memory Efficient Transformer Decoding


MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image Segmentation


MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation


MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria


MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs


MLLM-DataEngine: An Iterative Refinement Approach for MLLM


MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance


MLLM-SUL: Multimodal Large Language Model for Semantic Scene Understanding and Localization in Traffic Scenarios


MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models


MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs


MLLMs-Augmented Visual-Language Representation Learning


MLLess: Achieving Cost Efficiency in Serverless Machine Learning Training


MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities


MLMC-based Resource Adequacy Assessment with Active Learning Trained Surrogate Models


MLMOD: Machine Learning Methods for Data-Driven Modeling in LAMMPS


MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization


MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation


MLOmics: Cancer Multi-Omics Database for Machine Learning


MLP Architectures for Vision-and-Language Modeling: An Empirical Study


MLP Fusion: Towards Efficient Fine-tuning of Dense and Mixture-of-Experts Language Models


MLP-AMDC: An MLP Architecture for Adaptive-Mask-based Dual-Camera snapshot hyperspectral imaging


MLP-Hash: Protecting Face Templates via Hashing of Randomized Multi-Layer Perceptron


MLP-KAN: Unifying Deep Representation and Function Learning


MLP-SRGAN: A Single-Dimension Super Resolution GAN using MLP-Mixer


MLP: Motion Label Prior for Temporal Sentence Localization in Untrimmed 3D Human Motions


MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks


MLPGradientFlow: going with the flow of multilayer perceptrons (and finding minima fast and accurately)


MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization


MLProxy: SLA-Aware Reverse Proxy for Machine Learning Inference Serving on Serverless Computing Platforms


MLPs Learn In-Context on Regression and Classification Tasks


MLPs and KANs for data-driven learning in physical problems: A performance comparison


MLQAOA: Graph Learning Accelerated Hybrid Quantum-Classical Multilevel QAOA


MLQD: A package for machine learning-based quantum dissipative dynamics


MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset


MLQM: Machine Learning Approach for Accelerating Optimal Qubit Mapping


MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research


MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents


MLRS-PDS: A Meta-learning recommendation of dynamic ensemble selection pipelines


MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding


MLRan: A Behavioural Dataset for Ransomware Analysis and Detection


MLRegTest: A Benchmark for the Machine Learning of Regular Languages


MLS: A Large-Scale Multilingual Dataset for Speech Research


MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling


MLScent A tool for Anti-pattern detection in ML projects


MLT-LE: predicting drug-target binding affinity with multi-task residual neural networks


MLTEing Models: Negotiating, Evaluating, and Documenting Model and System Qualities


MLV$^2$-Net: Rater-Based Majority-Label Voting for Consistent Meningeal Lymphatic Vessel Segmentation


MLXP: A Framework for Conducting Replicable Experiments in Python


MLZero: A Multi-Agent System for End-to-end Machine Learning Automation


MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models


MLatom software ecosystem for surface hopping dynamics in Python with quantum mechanical and machine learning methods


MLatticeABC: Generic Lattice Constant Prediction of Crystal Materials using Machine Learning


MLody -- Deep Learning Generated Polarized Synchrotron Coefficients


MLonMCU: TinyML Benchmarking with Fast Retargeting


MLtuner: System Support for Automatic Machine Learning Tuning


MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem


MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences


MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic


MM-BSN: Self-Supervised Image Denoising for Real-World with Multi-Mask based on Blind-Spot Network


MM-BigBench: Evaluating Multimodal Models on Multimodal Content Comprehension Tasks


MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios


MM-Claims: A Dataset for Multimodal Claim Detection in Social Media


MM-DAG: Multi-task DAG Learning for Multi-modal Data -- with Application for Traffic Congestion Analysis


MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation


MM-Eval: A Hierarchical Benchmark for Modern Mongolian Evaluation in LLMs


MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing


MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models


MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation


MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution


MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction


MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis


MM-IFEngine: Towards Multimodal Instruction Following


MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models


MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer


MM-KTD: Multiple Model Kalman Temporal Differences for Reinforcement Learning


MM-LDM: Multi-Modal Latent Diffusion Model for Sounding Video Generation


MM-LINS: a Multi-Map LiDAR-Inertial System for Over-Degenerate Environments


MM-Locate-News: Multimodal Focus Location Estimation in News


MM-MATH: Advancing Multimodal Math Evaluation with Process Evaluation and Fine-grained Classification


MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments


MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment


MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision


MM-Path: Multi-modal, Multi-granularity Path Representation Learning -- Extended Version


MM-PoE: Multiple Choice Reasoning via. Process of Elimination using Multi-Modal Models


MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding


MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering


MM-Pyramid: Multimodal Pyramid Attentional Network for Audio-Visual Event Localization and Video Parsing


MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action


MM-RealSR: Metric Learning based Interactive Modulation for Real-World Super-Resolution


MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception


MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks


MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models


MM-Skin: Enhancing Dermatology Vision-Language Model with an Image-Text Dataset Derived from Textbooks


MM-StoryAgent: Immersive Narrated Storybook Video Generation with a Multi-Agent Paradigm across Text, Image and Audio


MM-Tracker: Motion Mamba with Margin Loss for UAV-platform Multiple Object Tracking


MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification


MM2Latent: Text-to-facial image generation and editing in GANs with multimodal assistance


MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles


MMA Training: Direct Input Space Margin Maximization through Adversarial Training


MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild


MMA-RNN: A Multi-level Multi-task Attention-based Recurrent Neural Network for Discrimination and Localization of Atrial Fibrillation


MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection


MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs


MMANet: Margin-aware Distillation and Modality-aware Regularization for Incomplete Multimodal Learning


MMAPS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization


MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix


MMASD+: A Novel Dataset for Privacy-Preserving Behavior Analysis of Children with Autism Spectrum Disorder


MMASD: A Multimodal Dataset for Autism Intervention Analysis


MMATH: A Multilingual Benchmark for Mathematical Reasoning


MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis


MMBERT: Multimodal BERT Pretraining for Improved Medical VQA


MMBench: Benchmarking End-to-End Multi-modal DNNs and Understanding Their Hardware-Software Implications


MMBoundary: Advancing MLLM Knowledge Boundary Awareness through Reasoning Step Confidence Calibration


MMCBE: Multi-modality Dataset for Crop Biomass Prediction and Beyond


MMCL: Boosting Deformable DETR-Based Detectors with Multi-Class Min-Margin Contrastive Learning for Superior Prohibited Item Detection


MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training


MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models


MMD-B-Fair: Learning Fair Representations with Statistical Testing


MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting


MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID


MMD-Regularized Unbalanced Optimal Transport


MMDRFuse: Distilled Mini-Model with Dynamic Refresh for Multi-Modality Image Fusion


MMDVS-LF: Multi-Modal Dynamic Vision Sensor and Eye-Tracking Dataset for Line Following


MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation


MMDisCo: Multi-Modal Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation


MMEAD: MS MARCO Entity Annotations and Disambiguations


MMER: Multimodal Multi-task Learning for Speech Emotion Recognition


MMES: Mixture Model based Evolution Strategy for Large-Scale Optimization


MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning


MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation


MMF-Track: Multi-modal Multi-level Fusion for 3D Single Object Tracking


MMFT-BERT: Multimodal Fusion Transformer with BERT Encodings for Visual Question Answering


MMFuser: Multimodal Multi-Layer Feature Fuser for Fine-Grained Vision-Language Understanding


MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization


MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer


MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation


MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation


MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation


MMGT: Motion Mask Guided Two-Stage Network for Co-Speech Gesture Video Generation


MMGenBench: Evaluating the Limits of LMMs from the Text-to-Image Generation Perspective


MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation


MMICT: Boosting Multi-Modal Fine-Tuning with In-Context Examples


MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation


MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models


MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity


MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge


MML: Maximal Multiverse Learning for Robust Fine-Tuning of Language Models


MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark


MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMs


MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment Analysis


MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly


MMM and MMMSynth: Clustering of heterogeneous tabular data, and synthetic data generation


MMME: A Spontaneous Multi-Modal Micro-Expression Dataset Enabling Visual-Physiological Fusion


MMMNA-Net for Overall Survival Time Prediction of Brain Tumor Patients


MMNet: Muscle motion-guided network for micro-expression recognition


MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model


MMO: Meta Multi-Objectivization for Software Configuration Tuning


MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation


MMOne: Representing Multiple Modalities in One Scene


MMP++: Motion Manifold Primitives with Parametric Curve Models


MMP-2K: A Benchmark Multi-Labeled Macro Photography Image Quality Assessment Database


MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance


MMPolymer: A Multimodal Multitask Pretraining Framework for Polymer Property Prediction


MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation


MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models


MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models


MMRel: A Relation Understanding Benchmark in the MLLM Era


MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents


MMS-LLaMA: Efficient LLM-based Audio-Visual Speech Recognition with Minimal Multimodal Speech Tokens


MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System


MMSE Bounds Under Kullback-Leibler Divergence Constraints on the Joint Input-Output Distribution


MMSFormer: Multimodal Transformer for Material and Semantic Segmentation


MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer


MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark


MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding


MMSearch-R1: Incentivizing LMMs to Search


MMTAfrica: Multilingual Machine Translation for African Languages


MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception


MMTSA: Multimodal Temporal Segment Attention Network for Efficient Human Activity Recognition


MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark


MMTrail: A Multimodal Trailer Video Dataset with Language and Music Descriptions


MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models


MMVP: A Multimodal MoCap Dataset with Vision and Pressure Sensors


MMVP: Motion-Matrix-based Video Prediction


MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception


MMVU: Measuring Expert-Level Multi-Discipline Video Understanding


MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for Image-to-Image Transformation


MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos


MMXU: A Multi-Modal and Multi-X-ray Understanding Dataset for Disease Progression


MMaDA: Multimodal Large Diffusion Language Models


MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models


MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization


MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts


MMoFusion: Multi-modal Co-Speech Motion Generation with Diffusion Model


MN-DS: A Multilabeled News Dataset for News Articles Hierarchical Classification


MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era


MNIST Dataset Classification Utilizing k-NN Classifier with Modified Sliding-window Metric


MNN: A Universal and Efficient Inference Engine


MNN: Mixed Nearest-Neighbors for Self-Supervised Learning


MNeRV: A Multilayer Neural Representation for Videos


MO-CTranS: A unified multi-organ segmentation model learning from multiple heterogeneously labelled datasets


MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization


MOA-2009-BLG-319Lb: A Sub-Saturn Planet Inside the Predicted Mass Desert


MOAB: Multi-Modal Outer Arithmetic Block For Fusion Of Histopathological Images And Genetic Data For Brain Tumor Grading


MOAT: Evaluating LMMs for Capability Integration and Instruction Grounding


MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification


MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning


MOC-RVQ: Multilevel Codebook-Assisted Digital Generative Semantic Communication


MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments


MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection


MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics


MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive Perspective


MOD-CL: Multi-label Object Detection with Constrained Loss


MOD-Finder: Identify multi-omics data sets related to defined chemical exposure


MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos


MOD: A Deep Mixture Model with Online Knowledge Distillation for Large Scale Video Temporal Concept Localization


MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image Recovery


MODIFY: Model-driven Face Stylization without Style Images


MODIPHY: Multimodal Obscured Detection for IoT using PHantom Convolution-Enabled Faster YOLO


MODIS: Multi-Omics Data Integration for Small and Unpaired Datasets


MODNet: Multi-offset Point Cloud Denoising Network Customized for Multi-scale Patches


MODOC: A Modular Interface for Flexible Interlinking of Text Retrieval and Text Generation Functions


MOEA/D with Adaptative Number of Weight Vectors


MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate Prediction


MOELA: A Multi-Objective Evolutionary/Learning Design Space Exploration Framework for 3D Heterogeneous Manycore Platforms


MOFA: A Model Simplification Roadmap for Image Restoration on Mobile Devices


MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models


MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference


MOFI: Learning Image Representations from Noisy Entity Annotated Images


MOFO: MOtion FOcused Self-Supervision for Video Understanding


MOGAN: Morphologic-structure-aware Generative Learning from a Single Image


MOKA: Moral Knowledge Augmentation for Moral Event Extraction


MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution


MOLE: Digging Tunnels Through Multimodal Multi-Objective Landscapes


MOLIERE: Automatic Biomedical Hypothesis Generation System


MOLPIPx: an end-to-end differentiable package for permutationally invariant polynomials in Python and Rust


MOLUCINATE: A Generative Model for Molecules in 3D Space


MOMAV: A highly symmetrical fully-actuated multirotor drone using optimizing control allocation


MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets


MONA: An Efficient and Scalable Strategy for Targeted k-Nodes Collapse


MONAH: Multi-Modal Narratives for Humans to analyze conversations


MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices


MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation


MONET: Multiview Semi-supervised Keypoint Detection via Epipolar Divergence


MONICA: Benchmarking on Long-tailed Medical Image Classification


MONKES: a fast neoclassical code for the evaluation of monoenergetic transport coefficients


MONOVAB : An Annotated Corpus for Bangla Multi-label Emotion Detection


MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Networks


MOOCRep: A Unified Pre-trained Embedding of MOOC Entities


MOOD: Multi-level Out-of-distribution Detection


MOODE: An R Package for Multi-Objective Optimal Design of Experiments


MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental Feedback


MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses


MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning


MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation


MORA: Improving Ensemble Robustness Evaluation with Model-Reweighing Attack


MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning


MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces


MORE: A Metric Learning Based Framework for Open-domain Relation Extraction


MORE: A Multimodal Object-Entity Relation Extraction Dataset with a Benchmark Evaluation


MORE: Measurement and Correlation Based Variational Quantum Circuit for Multi-classification


MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes


MORE: Simultaneous Multi-View 3D Object Recognition and Pose Estimation


MORESANE: MOdel REconstruction by Synthesis-ANalysis Estimators. A sparse deconvolution algorithm for radio interferometric imaging


MORI-RAN: Multi-view Robust Representation Learning via Hybrid Contrastive Fusion


MOROCO: The Moldavian and Romanian Dialectal Corpus


MORPH-LER: Log-Euclidean Regularization for Population-Aware Image Registration


MORSE-500: A Programmatically Controllable Video Benchmark to Stress-Test Multimodal Reasoning


MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation


MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning


MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection


MOS: Modeling Object-Scene Associations in Generalized Category Discovery


MOSA: Music Motion with Semantic Annotation Dataset for Cross-Modal Music Processing


MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Learning via Interactive Perception


MOSAIC: Mobile Segmentation via decoding Aggregated Information and encoded Context


MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations


MOSAIC: Multiple Observers Spotting AI Content, a Robust Approach to Machine-Generated Text Detection


MOSAIK: Multi-Origin Spatial Transcriptomics Analysis and Integration Kit


MOSEAC: Streamlined Variable Time Step Reinforcement Learning


MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languages


MOSES: A Streaming Algorithm for Linear Dimensionality Reduction


MOSGA: Modular Open-Source Genome Annotator


MOSP: A User-interface Package for Simulating Metal Nanoparticle Structure and Reactivity under Operando Conditions


MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection


MOSS: A Large-scale Open Microscopic Traffic Simulation System


MOSS: Enabling Code-Driven Evolution and Context Management for AI Agents


MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning


MOStream: A Modular and Self-Optimizing Data Stream Clustering Algorithm


MOT-DETR: 3D Single Shot Detection and Tracking with Transformers to build 3D representations for Agro-Food Robots


MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels


MOTIVE: A Drug-Target Interaction Graph For Inductive Link Prediction


MOTIVE: Micropayments for trusted vehicular services


MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local Explanations


MOVE: Effective and Harmless Ownership Verification via Embedded External Features


MOVE: Unsupervised Movable Object Segmentation and Detection


MOVER: Mask, Over-generate and Rank for Hyperbole Generation


MOVES V. Modelling star-planet magnetic interactions of HD 189733


MOVESTAR: An Open-Source Vehicle Fuel and Emission Model based on USEPA MOVES


MOVO: a dApp for DLT-based Smart Mobility


MOoSE: Multi-Orientation Sharing Experts for Open-set Scene Text Recognition


MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series Forecasting


MP-Former: Mask-Piloted Transformer for Image Segmentation


MP-GUI: Modality Perception with MLLMs for GUI Understanding


MP-HSIR: A Multi-Prompt Framework for Universal Hyperspectral Image Restoration


MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo


MP-ResNet: Multi-path Residual Network for the Semantic segmentation of High-Resolution PolSAR Images


MP-SfM: Monocular Surface Priors for Robust Structure-from-Motion


MP2-based composite extrapolation schemes can predict core-ionization energies for first-row elements with coupled-cluster level accuracy


MP3 Compression To Diminish Adversarial Noise in End-to-End Speech Recognition


MP3net: coherent, minute-long music generation from raw audio with a simple convolutional GAN


MPADA: Open source framework for multimodal time series antenna array measurements


MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans


MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control


MPC-Net: A First Principles Guided Policy Search


MPCC: Matching Priors and Conditionals for Clustering


MPCFormer: fast, performant and private Transformer inference with MPC


MPCGPU: Real-Time Nonlinear Model Predictive Control through Preconditioned Conjugate Gradient on the GPU


MPCHAT: Towards Multimodal Persona-Grounded Conversation


MPCNN: A Novel Matrix Profile Approach for CNN-based Sleep Apnea Classification


MPCODER: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning


MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention


MPCritic: A plug-and-play MPC architecture for reinforcement learning


MPD: Moving Target Defense through Communication Protocol Dialects


MPDAF - A Python package for the analysis of VLT/MUSE data


MPED: Quantifying Point Cloud Distortion based on Multiscale Potential Energy Discrepancy


MPFit: A robust method for fitting atomic resolution images with multiple Gaussian peaks


MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation


MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs


MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization


MPI-Flow: Learning Realistic Optical Flow with Multiplane Images


MPI-Rockstar: a Hybrid MPI and OpenMP Parallel Implementation of the Rockstar Halo finder


MPI-rical: Data-Driven MPI Distributed Parallelism Assistance with Transformers


MPI: Multi-receptive and Parallel Integration for Salient Object Detection


MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects


MPI_XSTAR: MPI-based Parallelization of the XSTAR Photoionization Program


MPInspector: A Systematic and Automatic Approach for Evaluating the Security of IoT Messaging Protocols


MPL: Lifting 3D Human Pose from Multi-view 2D Poses


MPL: Multiple Programming Languages with Large Language Models for Information Extraction


MPMQA: Multimodal Question Answering on Product Manuals


MPO: Boosting LLM Agents with Meta Plan Optimization


MPO: Multilingual Safety Alignment via Reward Gap Optimization


MPPI-IPDDP: Hybrid Method of Collision-Free Smooth Trajectory Generation for Autonomous Robots


MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models


MPS-ATLAS library of stellar model atmospheres and spectra


MPSN: Motion-aware Pseudo Siamese Network for Indoor Video Head Detection in Buildings


MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification


MPVNN: Mutated Pathway Visible Neural Network Architecture for Interpretable Prediction of Cancer-specific Survival Risk


MPViT: Multi-Path Vision Transformer for Dense Prediction


MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs Embedding


MPrompt: Exploring Multi-level Prompt Tuning for Machine Reading Comprehension


MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition


MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging


MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization


MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment


MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions


MR Slice Profile Estimation by Learning to Match Internal Patch Distributions


MR sequence design to account for non-ideal gradient performance


MR-COGraphs: Communication-efficient Multi-Robot Open-vocabulary Mapping System via 3D Scene Graphs


MR-GDINO: Efficient Open-World Continual Object Detection


MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions


MR-MT3: Memory Retaining Multi-Track Music Transcription to Mitigate Instrument Leakage


MR-RawNet: Speaker verification system with multiple temporal resolutions for variable duration utterances using raw waveforms


MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging


MR-WAVES: MR Water-diffusion And Vascular Effects Simulations


MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity


MR3D-Net: Dynamic Multi-Resolution 3D Sparse Voxel Grid Fusion for LiDAR-Based Collective Perception


MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation


MRAttractor: Detecting Communities from Large-Scale Graphs


MRBTP: Efficient Multi-Robot Behavior Tree Planning and Collaboration


MRC-Net: 6-DoF Pose Estimation with MultiScale Residual Correlation


MRCBert: A Machine Reading ComprehensionApproach for Unsupervised Summarization


MRCEval: A Comprehensive, Challenging and Accessible Machine Reading Comprehension Benchmark


MRD-RAG: Enhancing Medical Diagnosis with Multi-Round Retrieval-Augmented Generation


MREC: a fast and versatile framework for aligning and matching point clouds with applications to single cell molecular data


MRF-UNets: Searching UNet with Markov Random Fields


MRFI: An Open Source Multi-Resolution Fault Injection Framework for Neural Network Processing


MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation


MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated Modalities


MRI Parameter Mapping via Gaussian Mixture VAE: Breaking the Assumption of Independent Pixels


MRI Reconstruction Using Deep Energy-Based Model


MRI Reconstruction via Cascaded Channel-wise Attention Network


MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures


MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting


MRI-GAN: A Generalized Approach to Detect DeepFakes using Perceptual Image Assessment


MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site Validation


MRIReco.jl: An MRI Reconstruction Framework written in Julia


MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI


MRM3: Machine Readable ML Model Metadata


MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognition


MRPB 1.0: A Unified Benchmark for the Evaluation of Mobile Robot Local Planning Approaches


MRPD: Undersampled MRI reconstruction by prompting a large latent diffusion model


MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension


MRQy: An Open-Source Tool for Quality Control of MR Imaging Data


MRSch: Multi-Resource Scheduling for HPC


MRSegmentator: Multi-Modality Segmentation of 40 Classes in MRI and CT


MRWeb: An Exploration of Generating Multi-Page Resource-Aware Web Code from UI Designs


MRZ code extraction from visa and passport documents using convolutional neural networks


MReD: A Meta-Review Dataset for Structure-Controllable Text Generation


MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels


MS$^2$L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition


MS-BioGraphs: Sequence Similarity Graph Datasets


MS-DARTS: Mean-Shift Based Differentiable Architecture Search


MS-DETR: Efficient DETR Training with Mixed Supervision


MS-DETR: Multispectral Pedestrian Detection Transformer with Loosely Coupled Fusion and Modality-Balanced Optimization


MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction


MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval


MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance


MS-Former: Memory-Supported Transformer for Weakly Supervised Change Detection with Patch-Level Annotations


MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image Reconstruction


MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment


MS-LaTTE: A Dataset of Where and When To-do Tasks are Completed


MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition


MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data


MS-RANAS: Multi-Scale Resource-Aware Neural Architecture Search


MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive Learning


MS-Shift: An Analysis of MS MARCO Distribution Shifts on Neural Retrieval


MS-SincResNet: Joint learning of 1D and 2D kernels using multi-scale SincNet and ResNet for music genre classification


MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for Action Segmentation Using Sensor-Augmented Kinematics


MSA$^2$Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation


MSA-3D: dissecting galaxies at z~1 with high spatial and spectral resolution


MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training


MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation


MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets


MSCEqF: A Multi State Constraint Equivariant Filter for Vision-aided Inertial Navigation


MSCI: Addressing CLIP's Inherent Limitations for Compositional Zero-Shot Learning


MSCMNet: Multi-scale Semantic Correlation Mining for Visible-Infrared Person Re-Identification


MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems


MSCTD: A Multimodal Sentiment Chat Translation Dataset


MSCoT: Structured Chain-of-Thought Generation for Multiple Programming Languages


MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning


MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping


MSDS: A Large-Scale Chinese Signature and Token Digit String Dataset for Handwriting Verification


MSDT: Masked Language Model Scoring Defense in Text Domain


MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule


MSE-Adapter: A Lightweight Plugin Endowing LLMs with the Capability to Perform Multimodal Sentiment Analysis and Emotion Recognition


MSED: a multi-modal sleep event detection model for clinical sleep analysis


MSEG-VCUQ: Multimodal SEGmentation with Enhanced Vision Foundation Models, Convolutional Neural Networks, and Uncertainty Quantification for High-Speed Video Phase Detection Data


MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network


MSEval: A Dataset for Material Selection in Conceptual Design to Evaluate Algorithmic Models


MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences


MSFNet-CPD: Multi-Scale Cross-Modal Fusion Network for Crop Pest Detection


MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection


MSG-Chart: Multimodal Scene Graph for ChartQA


MSG: A software package for interpolating stellar spectra in pre-calculated grids


MSGCN: Multiplex Spatial Graph Convolution Network for Interlayer Link Weight Prediction


MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian


MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting


MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer


MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting


MSI-NeRF: Linking Omni-Depth with View Synthesis through Multi-Sphere Image aided Generalizable Neural Radiance Field


MSI: Maximize Support-Set Information for Few-Shot Segmentation


MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID


MSLAU-Net: A Hybird CNN-Transformer Network for Medical Image Segmentation


MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data Integration


MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection


MSN: Efficient Online Mask Selection Network for Video Instance Segmentation


MSN: Multi-Style Network for Trajectory Prediction


MSNGO: multi-species protein function annotation based on 3D protein structure and network propagation


MSNM-Sensor: An Applied Network Monitoring Tool for Anomaly Detection in Complex Networks and Systems


MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators


MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey bees


MSPLoRA: A Multi-Scale Pyramid Low-Rank Adaptation for Efficient Model Fine-Tuning


MSPred: Video Prediction at Multiple Spatio-Temporal Scales with Hierarchical Recurrent Networks


MSR-GAN: Multi-Segment Reconstruction via Adversarial Learning


MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction


MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation


MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction


MSSIDD: A Benchmark for Multi-Sensor Denoising


MSSNet: Multi-Scale-Stage Network for Single Image Deblurring


MSSPlace: Multi-Sensor Place Recognition with Visual and Text Semantics


MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer


MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair Face Recognition


MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation


MST5 -- Multilingual Question Answering over Knowledge Graphs


MST: Adaptive Multi-Scale Tokens Guided Interactive Segmentation


MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling


MSTFormer: Motion Inspired Spatial-temporal Transformer with Dynamic-aware Attention for long-term Vessel Trajectory Prediction


MSTG: A Flexible and Scalable Microservices Infrastructure Generator


MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams


MSTS: A Multimodal Safety Test Suite for Vision-Language Models


MSTT-199: MRI Dataset for Musculoskeletal Soft Tissue Tumor Segmentation


MSVD-Indonesian: A Benchmark for Multimodal Video-Text Tasks in Indonesian


MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion


MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation


MSVQ: Self-Supervised Learning with Multiple Sample Views and Queues


MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset


MSc-SQL: Multi-Sample Critiquing Small Language Models For Text-To-SQL Translation


MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference


MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving


MSnet: A BERT-based Network for Gendered Pronoun Resolution


MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation


MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues


MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction


MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models


MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees


MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation


MT-HCCAR: Multi-Task Deep Learning with Hierarchical Classification and Attention-based Regression for Cloud Property Retrieval


MT-LENS: An all-in-one Toolkit for Better Machine Translation Evaluation


MT-ORL: Multi-Task Occlusion Relationship Learning


MT-PATCHER: Selective and Extendable Knowledge Distillation from Large Language Models for Machine Translation


MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning


MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple Tables


MT-Ranker: Reference-free machine translation evaluation by inter-system ranking


MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations


MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification


MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels


MT2ST: Adaptive Multi-Task to Single-Task Learning


MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption


MT4SSL: Boosting Self-Supervised Speech Representation Learning by Integrating Multiple Targets


MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection


MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences


MTAdam: Automatic Balancing of Multiple Training Loss Terms


MTBench: A Multimodal Time Series Benchmark for Temporal Reasoning and Question Answering


MTC: Multiresolution Tensor Completion from Partial and Coarse Observations


MTCAE-DFER: Multi-Task Cascaded Autoencoder for Dynamic Facial Expression Recognition


MTCSNN: Multi-task Clinical Siamese Neural Network for Diabetic Retinopathy Severity Prediction


MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine Translation


MTD: Multi-Timestep Detector for Delayed Streaming Perception


MTDA-HSED: Mutual-Assistance Tuning and Dual-Branch Aggregating for Heterogeneous Sound Event Detection


MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval


MTFuzz: Fuzzing with a Multi-Task Neural Network


MTG: A Benchmark Suite for Multilingual Text Generation


MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading


MTGS: Multi-Traversal Gaussian Splatting


MTIL: Encoding Full History with Mamba for Temporal Imitation Learning


MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning


MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning


MTL-Split: Multi-Task Learning for Edge Devices using Split Computing


MTLB-STRUCT @PARSEME 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models


MTLComb: multi-task learning combining regression and classification tasks for joint feature selection


MTLDesc: Looking Wider to Describe Better


MTLE: A Multitask Learning Encoder of Visual Feature Representations for Video and Movie Description


MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs


MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Forecasting


MTNT: A Testbed for Machine Translation of Noisy Text


MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction


MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining


MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction


MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features


MTS-Net: Dual-Enhanced Positional Multi-Head Self-Attention for 3D CT Diagnosis of May-Thurner Syndrome


MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network


MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming


MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation


MTStereo 2.0: improved accuracy of stereo depth estimation withMax-trees


MTTM: Metamorphic Testing for Textual Content Moderation Software