Co-occurring keywords · papers mentioning both
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