KDD 2023 - M3PT: A Multi-Modal Model for POI Tagging

KDD 2023 - M3PT: A Multi-Modal Model for POI Tagging

KDD 2023 - Multi-Grained Multimodal Interaction Network for Entity LinkingПодробнее

KDD 2023 - Multi-Grained Multimodal Interaction Network for Entity Linking

KDD 2023 - FedMultimodal: A Benchmark for Multimodal Federated LearningПодробнее

KDD 2023 - FedMultimodal: A Benchmark for Multimodal Federated Learning

KDD 2023 - Multimodal Spatiotemporal Data (MST)Подробнее

KDD 2023 - Multimodal Spatiotemporal Data (MST)

KDD 2023 - Fewshot Low-resource Knowledge Graph Completion with Multi-view Representation GenerationПодробнее

KDD 2023 - Fewshot Low-resource Knowledge Graph Completion with Multi-view Representation Generation

KDD 2023 - Fusing Multimodal Signals on Hyper-complex SpaceПодробнее

KDD 2023 - Fusing Multimodal Signals on Hyper-complex Space

KDD 2023 - Learning from positive and unlabeled multi-instance bags in anomaly detectionПодробнее

KDD 2023 - Learning from positive and unlabeled multi-instance bags in anomaly detection

KDD 2023 - Dual Attention Contrastive Representation Learning for Time Series Anomaly DetectionПодробнее

KDD 2023 - Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection

KDD 2023 - MM-DAG: Multi-task DAG Learning for Multi-modal DataПодробнее

KDD 2023 - MM-DAG: Multi-task DAG Learning for Multi-modal Data

KDD 2023 - M5: Multi-Modal Multi-Interest Multi-Scenario Matching for Over-the-Top RecommendationПодробнее

KDD 2023 - M5: Multi-Modal Multi-Interest Multi-Scenario Matching for Over-the-Top Recommendation

KDD 2023 - Sampling Mini-Batches for Contrastive Learning in Vision, Language, and GraphsПодробнее

KDD 2023 - Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs

KDD 2023 - Multi-Temporal Relationship Inference in Urban AreasПодробнее

KDD 2023 - Multi-Temporal Relationship Inference in Urban Areas

KDD 2023 - Taming the Domain Shift in Multi-source Learning for Energy DisaggregationПодробнее

KDD 2023 - Taming the Domain Shift in Multi-source Learning for Energy Disaggregation

KDD 2023 - MetricPrompt: Prompting Model as a Relevance Metric for Few-Shot Text ClassificationПодробнее

KDD 2023 - MetricPrompt: Prompting Model as a Relevance Metric for Few-Shot Text Classification

KDD 2023 - A Study of Situational Reasoning for Traffic UnderstandingПодробнее

KDD 2023 - A Study of Situational Reasoning for Traffic Understanding

KDD 2023 - MBrain: A Multi-channel Self-Supervised Learning Framework for Brain SignalsПодробнее

KDD 2023 - MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals

KDD 2023 - Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time SeriesПодробнее

KDD 2023 - Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series

KDD 2023 - Contrastive Meta-Learning for Few-shot Node ClassificationПодробнее

KDD 2023 - Contrastive Meta-Learning for Few-shot Node Classification

KDD 2023 - Lighttoken: A task and model-agnostic lightweight token embeddingПодробнее

KDD 2023 - Lighttoken: A task and model-agnostic lightweight token embedding