Data Science & Analytics
4,995 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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48
62
73
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183
242
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Papers (including subtopics)
Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach
ICML 2024
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
AAAI 2024
IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing
NeurIPS 2024
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
NeurIPS 2024
KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation
IJCAI 2024
Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract)
AAAI 2024
K-means and hierarchical clustering of f0 contours
Interspeech 2024
Knowledge-Aware Explainable Reciprocal Recommendation
AAAI 2024
Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series
NeurIPS 2024
Knowledge-Enhanced Dual-stream Zero-shot Composed Image Retrieval
CVPR 2024
Knowledge Navigator: LLM-guided Browsing Framework for Exploratory Search in Scientific Literature
EMNLP 2024
Knowledge-Powered Recommendation for an Improved Diet Water Footprint
AAAI 2024
KoFREN: Comprehensive Korean Word Frequency Norms Derived from Large Scale Free Speech Corpora
COLING 2024
Kuro Siwo: 33 billion m^2 under the water. A global multi-temporal satellite dataset for rapid flood mapping
NeurIPS 2024
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection
IJCAI 2024
Large Language Models as Financial Data Annotators: A Study on Effectiveness and Efficiency
COLING 2024
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
COLING 2024
Large Language Models for Time Series: A Survey
IJCAI 2024
Large Pre-trained time series models for cross-domain Time series analysis tasks
NeurIPS 2024
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation
CVPR 2024
Latent Diffusion Transformer for Probabilistic Time Series Forecasting
AAAI 2024
Learn from View Correlation: An Anchor Enhancement Strategy for Multi-view Clustering
CVPR 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation
AAAI 2024
Learning Cartesian Product Graphs with Laplacian Constraints
AISTATS 2024
Learning Causal Relations from Subsampled Time Series with Two Time-Slices
ICML 2024