Applications

Manipulation of k-Coalitional Games on Social Networks IJCAI 2021 Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations ACML 2021 MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking CVPR 2021 Mega-COV: A Billion-Scale Dataset of 100+ Languages for COVID-19 EACL 2021 MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data NeurIPS 2021 Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract) AAAI 2021 Modeling Language Usage and Listener Engagement in Podcasts ACL 2021 Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval EMNLP 2021 Multimodal Multi-Speaker Merger & Acquisition Financial Modeling: A New Task, Dataset, and Neural Baselines ACL 2021 Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews ACL 2021 Multiple Kernel Clustering with Kernel k-Means Coupled Graph Tensor Learning AAAI 2021 Multi-task Learning to Enable Location Mention Identification in the Early Hours of a Crisis Event EMNLP 2021 Multi-version Tensor Completion for Time-delayed Spatio-temporal Data IJCAI 2021 mvlearn: Multiview Machine Learning in Python JMLR 2021 Network Inference and Influence Maximization from Samples ICML 2021 Neural Graph Filtering for Context-aware Recommendation ACML 2021 Neural News Recommendation with Collaborative News Encoding and Structural User Encoding EMNLP 2021 Neural Re-rankers for Evidence Retrieval in the FEVEROUS Task EMNLP 2021 Neural Utility Functions AAAI 2021 Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation AAAI 2021 Objective-Based Hierarchical Clustering of Deep Embedding Vectors AAAI 2021 On Component Interactions in Two-Stage Recommender Systems NeurIPS 2021 On efficient multilevel Clustering via Wasserstein distances JMLR 2021 One-Pass Multi-View Clustering for Large-Scale Data ICCV 2021 On Estimating Recommendation Evaluation Metrics under Sampling AAAI 2021