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
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48
62
73
103
87
76
122
183
242
372
445
423
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515
754
818
117
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Papers (including subtopics)
SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise
NeurIPS 2023
Sample-Level Multi-View Graph Clustering
CVPR 2023
SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives
ACL 2023
Scalable and Effective Conductance-Based Graph Clustering
AAAI 2023
Scalable Spatiotemporal Graph Neural Networks
AAAI 2023
Scaling Law for Recommendation Models: Towards General-Purpose User Representations
AAAI 2023
Scientific Document Retrieval using Multi-level Aspect-based Queries
NeurIPS 2023
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation
AAAI 2023
Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning
IJCAI 2023
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation
AAAI 2023
Self Weighted Multiplex Modularity Maximization for Multiview Clustering
ACML 2023
Semantic Similarity Covariance Matrix Shrinkage
EMNLP 2023
Semi-supervised Community Detection via Structural Similarity Metrics
ICLR 2023
Sequential Monte Carlo Learning for Time Series Structure Discovery
ICML 2023
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series
ICML 2023
Sequential Predictive Conformal Inference for Time Series
ICML 2023
Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation
AAAI 2023
SIGMORPHON 2022 Shared Task on Grapheme-to-Phoneme Conversion Submission Description: Sequence Labelling for G2P
ACL 2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
NeurIPS 2023
Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion
ACL 2023
SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies
AAAI 2023
SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting
IJCAI 2023
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities
NeurIPS 2023
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series
ICML 2023
Sparse Markov Models for High-dimensional Inference
JMLR 2023