Data Science & Analytics
4,995 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
2
2
33
26
35
40
48
62
73
103
87
76
122
183
242
372
445
423
416
515
754
818
117
'5
'10
'15
'20
'25
Papers (including subtopics)
Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts
AAAI 2023
Phase transition for detecting a small community in a large network
ICLR 2023
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation
AAAI 2023
Practical Cross-System Shilling Attacks with Limited Access to Data
AAAI 2023
Predicting Temporal Sets with Simplified Fully Connected Networks
AAAI 2023
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting
NeurIPS 2023
Predict the Future from the Past? On the Temporal Data Distribution Shift in Financial Sentiment Classifications
EMNLP 2023
Prefix-Tree Decoding for Predicting Mass Spectra from Molecules
NeurIPS 2023
Pre-trained Personalized Review Summarization with Effective Salience Estimation
ACL 2023
PrimeNet: Pre-training for Irregular Multivariate Time Series
AAAI 2023
Probabilistic Attention-to-Influence Neural Models for Event Sequences
ICML 2023
Probabilistic Masked Attention Networks for Explainable Sequential Recommendation
IJCAI 2023
Probabilistic Querying of Continuous-Time Event Sequences
AISTATS 2023
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models
ICML 2023
Probing Traffic Trend Forecasting via Spatial-Temporal Aware Learning-Graph Attention
ACML 2023
Prompt-augmented Temporal Point Process for Streaming Event Sequence
NeurIPS 2023
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data
IJCAI 2023
Propensity Matters: Measuring and Enhancing Balancing for Recommendation
ICML 2023
Prototype-oriented unsupervised anomaly detection for multivariate time series
ICML 2023
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting
IJCAI 2023
PUNR: Pre-training with User Behavior Modeling for News Recommendation
EMNLP 2023
QUADRo: Dataset and Models for QUestion-Answer Database Retrieval
EMNLP 2023
Query-Aware Quantization for Maximum Inner Product Search
AAAI 2023
Random Forests for Change Point Detection
JMLR 2023
Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation
ACL 2023