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
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48
62
73
103
87
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122
183
242
372
445
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416
515
754
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117
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Papers (including subtopics)
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions
ACL 2023
Data Structures for Density Estimation
ICML 2023
Decision-Making Context Interaction Network for Click-Through Rate Prediction
AAAI 2023
Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting
EMNLP 2023
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank
EMNLP 2023
Deep Latent State Space Models for Time-Series Generation
ICML 2023
Deep Metric Learning to Hierarchically Rank - An Application in Product Retrieval
EMNLP 2023
Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking
ACML 2023
Deep Semi-Supervised Metric Learning With Mixed Label Propagation
CVPR 2023
DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series
IJCAI 2023
Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer
NeurIPS 2023
Detecting Sources of Healthcare Associated Infections
AAAI 2023
DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM
EMNLP 2023
Developmental Articulatory and Acoustic Features for Six to Ten Year Old Children
Interspeech 2023
Differentiable Change-point Detection With Temporal Point Processes
AISTATS 2023
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model
NeurIPS 2023
Dimensions of Online Conflict: Towards Modeling Agonism
EMNLP 2023
DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment
EMNLP 2023
Directed Chain Generative Adversarial Networks
ICML 2023
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting
UAI 2023
Disentangled CVAEs with Contrastive Learning for Explainable Recommendation
AAAI 2023
Disentangled Representation Learning for Unsupervised Neural Quantization
CVPR 2023
Disentangling Cognitive Diagnosis with Limited Exercise Labels
NeurIPS 2023
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting
AAAI 2023
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data
IJCAI 2023