Data Science & Analytics

Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss NeurIPS 2023 Enabling Team of Teams: A Trust Inference and Propagation (TIP) Model in Multi-Human Multi-Robot Teams RSS 2023 Enhanced Multi-Relationships Integration Graph Convolutional Network for Inferring Substitutable and Complementary Items AAAI 2023 Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering AAAI 2023 Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training ACML 2023 Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors EMNLP 2023 Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns NeurIPS 2023 ES-Mask: Evolutionary Strip Mask for Explaining Time Series Prediction (Student Abstract) AAAI 2023 Estimating Propensity for Causality-based Recommendation without Exposure Data NeurIPS 2023 Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders AAAI 2023 Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis EMNLP 2023 Everyone’s Preference Changes Differently: A Weighted Multi-Interest Model For Retrieval ICML 2023 Explainable Recommendation with Personalized Review Retrieval and Aspect Learning ACL 2023 Exploring and Verbalizing Academic Ideas by Concept Co-occurrence ACL 2023 Exploring Context-Aware Evaluation Metrics for Machine Translation EMNLP 2023 Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract) AAAI 2023 Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives ICCV 2023 Factual and Informative Review Generation for Explainable Recommendation AAAI 2023 FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels ICML 2023 Fair Densities via Boosting the Sufficient Statistics of Exponential Families ICML 2023 FairLISA: Fair User Modeling with Limited Sensitive Attributes Information NeurIPS 2023 Fair Neighbor Embedding ICML 2023 Fair, Polylog-Approximate Low-Cost Hierarchical Clustering NeurIPS 2023 Fair Representation Learning for Recommendation: A Mutual Information Perspective AAAI 2023 Fast and Simple Spectral Clustering in Theory and Practice NeurIPS 2023