Citation Impact
Citing Papers
Distributed Dual Averaging In Networks
2010
Monotonic calibrated interpolated look-up tables
2016
Large Scale Distributed Deep Networks
2012 Standout
On optimization methods for deep learning
2011
Parallelized Stochastic Gradient Descent
2010
Efficient and robust automated machine learning
2015
Deep Neural Networks for Acoustic Modeling in Speech Recognition
2012 StandoutNobel
Paraphrase-Driven Learning for Open Question Answering
2013
Deep feature learning using target priors with applications in ECoG signal decoding for BCI
2013
Google Earth Engine: A Global Analysis and Future Trends
2023 Standout
Mapreduce is Good Enough?If All You Have is a Hammer, Throw Away Everything That's Not a Nail!
2013
Mastering the game of Go without human knowledge
2017 StandoutNatureNobel
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
2018 Standout
Hybrid computing using a neural network with dynamic external memory
2016 StandoutNatureNobel
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 Standout
MLBCD: a machine learning tool for big clinical data
2015
Preparing Medical Imaging Data for Machine Learning
2020 Standout
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
2020 Standout
Mastering the game of Go with deep neural networks and tree search
2016 StandoutNatureNobel
Representation Learning: A Review and New Perspectives
2013 Standout
Taking the Human Out of the Loop: A Review of Bayesian Optimization
2015 Standout
A review of automatic selection methods for machine learning algorithms and hyper-parameter values
2016
Brain Intelligence: Go beyond Artificial Intelligence
2017 Standout
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
2020 Standout
A Google Earth Engine-enabled software for efficiently generating high-quality user-ready Landsat mosaic images
2018
Scalable Gaussian process-based transfer surrogates for hyperparameter optimization
2017
Big Data: Survey, Technologies, Opportunities, and Challenges
2014 Standout
Incremental Support Vector Learning for Ordinal Regression
2014 Standout
Deep Learning for Health Informatics
2016 Standout
Initializing Bayesian Hyperparameter Optimization via Meta-Learning
2015
Transductive Ordinal Regression
2012
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
2012 StandoutNobel
Deep learning for healthcare: review, opportunities and challenges
2017 Standout
A Tucker Deep Computation Model for Mobile Multimedia Feature Learning
2017 Standout
Scaling big data mining infrastructure
2013
A Survey of Research on Cloud Robotics and Automation
2015 Standout
Dynamic Differential Privacy for ADMM-Based Distributed Classification Learning
2016
Fully Scalable Methods for Distributed Tensor Factorization
2016
Distributed Mean Estimation with Limited Communication
2016
1D convolutional neural networks and applications: A survey
2022 Standout
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
2010 Standout
A survey on semi-supervised learning
2019 Standout
On hyperparameter optimization of machine learning algorithms: Theory and practice
2020 Standout
Deep Reinforcement Learning: A Brief Survey
2017 Standout
Recent advances in convolutional neural networks
2017 Standout
Machine Learning Paradigms for Speech Recognition: An Overview
2013
Active Learning Literature Survey
2009 Standout
A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures
2019 Standout
Sequential Labeling Using Deep-Structured Conditional Random Fields
2010
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
2017 Standout
A comparative study of fine-tuning deep learning models for plant disease identification
2018 Standout
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
2019 Standout
Distributed optimization with arbitrary local solvers
2017
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning
2019
Deep learning applications and challenges in big data analytics
2015 Standout
Knowledge Graph Embedding: A Survey of Approaches and Applications
2017 Standout
DGM: A deep learning algorithm for solving partial differential equations
2018 Standout
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
2018 Standout
Deep learning with convolutional neural networks for EEG decoding and visualization
2017 Standout
Communication-Efficient Distributed Dual Coordinate Ascent
2014
Deep Learning in Medical Image Analysis
2017 Standout
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
2016 Standout
Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues
2019 Standout
Very Deep Convolutional Networks for Large-Scale Image Recognition
2014 Standout
Works of Gideon Mann being referenced
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models
2009
Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields
2008
Distributed Training Strategies for the Structured Perceptron
2010
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
2010
Efficient Transfer Learning Method for Automatic Hyperparameter Tuning
2014