Data Science & Analytics

Interpretable Classification of Categorical Time Series Using the Spectral Envelope and Optimal Scalings JMLR 2022 Interval-censored Hawkes processes JMLR 2022 In the Eye of the Beholder: Robust Prediction with Causal User Modeling NeurIPS 2022 I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding AAAI 2022 Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics NAACL 2022 It's Time for Artistic Correspondence in Music and Video CVPR 2022 Jointly Identifying and Fixing Inconsistent Readings from Information Extraction Systems ACL 2022 Keyphrase Generation Beyond the Boundaries of Title and Abstract EMNLP 2022 Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search EMNLP 2022 Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract) AAAI 2022 Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence ICML 2022 Leaping through Time with Gradient-Based Adaptation for Recommendation AAAI 2022 Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration AAAI 2022 Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract) AAAI 2022 Learning interacting dynamical systems with latent Gaussian process ODEs NeurIPS 2022 Learning Latent Seasonal-Trend Representations for Time Series Forecasting NeurIPS 2022 Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback AISTATS 2022 Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting AISTATS 2022 Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance AAAI 2022 Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences AAAI 2022 Learning When and What to Quote: A Quotation Recommender System with Mutual Promotion of Recommendation and Generation EMNLP 2022 Light Agents Searching for Hot Information IJCAI 2022 LIMESegment: Meaningful, Realistic Time Series Explanations AISTATS 2022 LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data AAAI 2022 Linear Bandit Algorithms with Sublinear Time Complexity ICML 2022