Data Science & Analytics
4,995 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
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2
33
26
35
40
48
62
73
103
87
76
122
183
242
372
445
423
416
515
754
818
117
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Papers (including subtopics)
Learning-Augmented Hierarchical Clustering
ICML 2025
Learning Changes in Graphon Attachment Network Models
ICML 2025
Learning Complex Heterogeneous Multimodal Fake News via Social Latent Network Inference
AAAI 2025
Learning from Sample Stability for Deep Clustering
ICML 2025
Learning Multi-interest Embedding with Dynamic Graph Cluster for Sequention Recommendation
UAI 2025
Learning Soft Sparse Shapes for Efficient Time-Series Classification
ICML 2025
Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes
ICML 2025
Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Optimizing Call Timing in Mobile Maternal Health
MLHC 2025
Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting
IJCAI 2025
Learning with Expected Signatures: Theory and Applications
ICML 2025
Learning With Multi-Group Guarantees For Clusterable Subpopulations
ICML 2025
LeCoPCR: Legal Concept-guided Prior Case Retrieval for European Court of Human Rights cases
NAACL 2025
LENS: Learning Entities from Narratives of Skin Cancer
COLING 2025
LETS-C: Leveraging Text Embedding for Time Series Classification
ACL 2025
LETS Forecast: Learning Embedology for Time Series Forecasting
ICML 2025
LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature Reviews
ACL 2025
LightGTS: A Lightweight General Time Series Forecasting Model
ICML 2025
Lightweight Online Adaption for Time Series Foundation Model Forecasts
ICML 2025
Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation
AAAI 2025
Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors
JMLR 2025
Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting
ICML 2025
LinkAlign: Scalable Schema Linking for Real-World Large-Scale Multi-Database Text-to-SQL
EMNLP 2025
Linking Industry Sectors and Financial Statements: A Hybrid Approach for Company Classification
AAAI 2025
LLM-based Online Prediction of Time-varying Graph Signals (Student Abstract)
AAAI 2025
LLM-Driven Estimation of Personal Carbon Footprint from Dialogues
ACL 2025