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Data Science & Analytics

4,995 papers (1 classified directly here)

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Papers (including subtopics)

High-dimensional Clustering onto Hamiltonian Cycle ICML 2023 HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World ICCV 2023 HOPE: High-order Graph ODE For Modeling Interacting Dynamics ICML 2023 How Bad is Top-K Recommendation under Competing Content Creators? ICML 2023 How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval EMNLP 2023 HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System EMNLP 2023 Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval EMNLP 2023 Identifying and Eliminating Majority Illusion in Social Networks AAAI 2023 Identity Construction in a Misogynist Incels Forum ACL 2023 IDRISI-D: Arabic and English Datasets and Benchmarks for Location Mention Disambiguation over Disaster Microblogs EMNLP 2023 Improved Approximation for Fair Correlation Clustering AISTATS 2023 Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation EMNLP 2023 Improving *day-ahead* Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context NeurIPS 2023 Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining AISTATS 2023 Improving Fairness in Information Exposure by Adding Links AAAI 2023 IM-TQA: A Chinese Table Question Answering Dataset with Implicit and Multi-type Table Structures ACL 2023 IncDSI: Incrementally Updatable Document Retrieval ICML 2023 Inference for mark-censored temporal point processes UAI 2023 Inflow, Outflow, and Reciprocity in Machine Learning ICML 2023 InfoSync: Information Synchronization across Multilingual Semi-structured Tables ACL 2023 InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting AAAI 2023 Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks NeurIPS 2023 Interactive Learning with Pricing for Optimal and Stable Allocations in Markets AISTATS 2023 Interpret ESG Rating’s Impact on the Industrial Chain Using Graph Neural Networks IJCAI 2023 Intrinsic Persistent Homology via Density-based Metric Learning JMLR 2023