Showing 1–20 of 32 results
/ Date/ Name
Oct 12, 2020PECOS: Prediction for Enormous and Correlated Output SpacesSep 28, 2015High-dimensional Time Series Prediction with Missing ValuesOct 11, 2016A Greedy Approach for Budgeted Maximum Inner Product SearchDec 16, 2014A Scalable Asynchronous Distributed Algorithm for Topic ModelingApr 6, 2015PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate DescentJul 18, 2013Large-scale Multi-label Learning with Missing LabelsMay 7, 2019Taming Pretrained Transformers for Extreme Multi-label Text ClassificationOct 16, 2022ELIAS: End-to-End Learning to Index and Search in Large Output SpacesMay 31, 2016Extreme Stochastic Variational Inference: Distributed and AsynchronousOct 18, 2022Uncertainty in Extreme Multi-label ClassificationMay 21, 2023PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood AggregationJun 23, 2021Extreme Multi-label Learning for Semantic Matching in Product SearchOct 8, 2023MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question AnsweringMay 31, 2023Representer Point Selection for Explaining Regularized High-dimensional ModelsMay 9, 2019Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series ForecastingMar 13, 2020Learning to Encode Position for Transformer with Continuous Dynamical ModelMay 29, 2019Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative FilteringJun 24, 2021Label Disentanglement in Partition-based Extreme Multilabel ClassificationDec 16, 2021Extreme Zero-Shot Learning for Extreme Text ClassificationFeb 21, 2022Accelerating Primal-dual Methods for Regularized Markov Decision Processes