Data Science & Analytics

Dimension Reduction with Locally Adjusted Graphs AAAI 2025 Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations AAAI 2025 DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster Management EMNLP 2025 DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation AAAI 2025 Discovering Latent Causal Graphs from Spatiotemporal Data ICML 2025 Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation IJCAI 2025 Disentangled Modeling of Preferences and Social Influence for Group Recommendation AAAI 2025 Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting AAAI 2025 Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data IJCAI 2025 Distribution-Consistency-Guided Multi-modal Hashing AAAI 2025 Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters JMLR 2025 DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation AAAI 2025 Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation AAAI 2025 Donate or Create? Comparing Data Collection Strategies for Emotion-labeled Multimodal Social Media Posts ACL 2025 Double Machine Learning for Causal Inference under Shared-State Interference ICML 2025 Do We Really Need Message Passing in Brain Network Modeling? ICML 2025 DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers ACL 2025 DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval AAAI 2025 Drift-Adapter: A Practical Approach to Near Zero-Downtime Embedding Model Upgrades in Vector Databases EMNLP 2025 DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025 DSBC : Data Science task Benchmarking with Context engineering IJCNLP 2025 DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis AAAI 2025 DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation AAAI 2025 DyCAST: Learning Dynamic Causal Structure from Time Series ICLR 2025 Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models ICLR 2025