Data Science & Analytics

Fairness-Aware Demand Prediction for New Mobility AAAI 2020 Fashion Outfit Complementary Item Retrieval CVPR 2020 Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback AAAI 2020 Fast and Accurate k-means++ via Rejection Sampling NeurIPS 2020 Fast geometric learning with symbolic matrices NeurIPS 2020 Fatigue-Aware Bandits for Dependent Click Models AAAI 2020 Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining IJCAI 2020 Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection IJCAI 2020 FlowScope: Spotting Money Laundering Based on Graphs AAAI 2020 Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel AAAI 2020 From Paris to Berlin: Discovering Fashion Style Influences Around the World CVPR 2020 From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering NeurIPS 2020 Frugal neural reranking: evaluation on the Covid-19 literature EMNLP 2020 Functionality Discovery and Prediction of Physical Objects AAAI 2020 Gandalf: An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure NSDI 2020 Gaussian Sum-Product Networks Learning in the Presence of Interval Censored Data PGM 2020 General Identification of Dynamic Treatment Regimes Under Interference AISTATS 2020 Generating Realistic Stock Market Order Streams AAAI 2020 Generative Semantic Hashing Enhanced via Boltzmann Machines ACL 2020 GluonTS: Probabilistic and Neural Time Series Modeling in Python JMLR 2020 Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval CVPR 2020 Gradient-Based Optimization for Bayesian Preference Elicitation AAAI 2020 Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters ICML 2020 Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering AISTATS 2020 GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks AAAI 2020