Data Science & Analytics

Temporal aware Multi-Interest Graph Neural Network for Session-based Recommendation ACML 2022 Tencent-MVSE: A Large-Scale Benchmark Dataset for Multi-Modal Video Similarity Evaluation CVPR 2022 Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems NeurIPS 2022 Text-Based Interactive Recommendation via Offline Reinforcement Learning AAAI 2022 The Correlation-assisted Missing Data Estimator JMLR 2022 The Dollar Street Dataset: Images Representing the Geographic and Socioeconomic Diversity of the World NeurIPS 2022 The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks JMLR 2022 The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm NeurIPS 2022 Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data JMLR 2022 The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model NeurIPS 2022 Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting NeurIPS 2022 Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation EMNLP 2022 Together about Dementia IJCAI 2022 Topic Modeling by Clustering Language Model Embeddings: Human Validation on an Industry Dataset EMNLP 2022 Toward Knowledge-Enriched Conversational Recommendation Systems ACL 2022 Towards a Rigorous Evaluation of Time-Series Anomaly Detection AAAI 2022 Towards Better Evaluation for Dynamic Link Prediction NeurIPS 2022 Towards Resolving Propensity Contradiction in Offline Recommender Learning IJCAI 2022 Tracking COVID-19 protest events in the United States. Shared Task 2: Event Database Replication, CASE 2022 EMNLP 2022 Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach IJCAI 2022 Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting IJCAI 2022 TS2Vec: Towards Universal Representation of Time Series AAAI 2022 T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification IJCAI 2022 Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation NeurIPS 2022 TUSK: Task-Agnostic Unsupervised Keypoints NeurIPS 2022