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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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)
Fast Combinatorial Algorithms for Min Max Correlation Clustering
ICML 2023
Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics
JMLR 2023
Fast Online Hashing with Multi-Label Projection
AAAI 2023
Fast Optimal Locally Private Mean Estimation via Random Projections
NeurIPS 2023
Feature Decomposition for Reducing Negative Transfer: A Novel Multi-Task Learning Method for Recommender System (Student Abstract)
AAAI 2023
Feature Programming for Multivariate Time Series Prediction
ICML 2023
Federated Heavy Hitter Recovery under Linear Sketching
ICML 2023
FFF: Fragment-Guided Flexible Fitting for Building Complete Protein Structures
CVPR 2023
Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network
IJCAI 2023
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction
AAAI 2023
Finding Groups of Cross-Correlated Features in Bi-View Data
JMLR 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning
NeurIPS 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
ICML 2023
Fine-Grained Activities of People Worldwide
WACV 2023
Fine-Grained Retrieval Prompt Tuning
AAAI 2023
FLIP: A Utility Preserving Privacy Mechanism for Time Series
JMLR 2023
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
NeurIPS 2023
Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management
IJCAI 2023
Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose
AAAI 2023
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
NeurIPS 2023
Forgotten Knowledge: Examining the Citational Amnesia in NLP
ACL 2023
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective
NeurIPS 2023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
NeurIPS 2023
From Key Points to Key Point Hierarchy: Structured and Expressive Opinion Summarization
ACL 2023
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification
EMNLP 2023