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heterogeneous data

136 papers

Papers

Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions JMLR 2022 Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data JMLR 2022 Subspace Recovery from Heterogeneous Data with Non-isotropic Noise NeurIPS 2022 Tutorial on Multimodal Machine Learning NAACL 2022 Using Multimodal Data and AI to Dynamically Map Flood Risk AAAI 2022 An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios IJCAI 2021 Data-Free Knowledge Distillation for Heterogeneous Federated Learning ICML 2021 DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting AAAI 2021 Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity ICML 2021 Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes AISTATS 2021 Latent Gaussian process with composite likelihoods and numerical quadrature AISTATS 2021 On Generalization in Coreference Resolution EMNLP 2021 RelaySum for Decentralized Deep Learning on Heterogeneous Data NeurIPS 2021 Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data AISTATS 2021 A Federated Approach in Training Acoustic Models Interspeech 2020 Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms NeurIPS 2020 General Latent Feature Models for Heterogeneous Datasets JMLR 2020 VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data NeurIPS 2020 AE2-Nets: Autoencoder in Autoencoder Networks CVPR 2019 End-to-End Multi-Perspective Matching for Entity Resolution IJCAI 2019 Iterative Bayesian Learning for Crowdsourced Regression AISTATS 2019 Multi-Group Encoder-Decoder Networks to Fuse Heterogeneous Data for Next-Day Air Quality Prediction IJCAI 2019 Social Media-based User Embedding: A Literature Review IJCAI 2019 Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data ICML 2019 LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning NeurIPS 2018