Citation Impact
Citing Papers
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
Distributed Training Strategies for the Structured Perceptron
2010
Deep Neural Networks for Acoustic Modeling in Speech Recognition
2012 StandoutNobel
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
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
Preparing Medical Imaging Data for Machine Learning
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
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Brain Intelligence: Go beyond Artificial Intelligence
2017 Standout
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
2021 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
Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs
2022 Standout
Big Data: Survey, Technologies, Opportunities, and Challenges
2014 Standout
Deep Learning for Health Informatics
2016 Standout
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
2012 StandoutNobel
Scaling big data mining infrastructure
2013
A Survey of Research on Cloud Robotics and Automation
2015 Standout
Deep High-Resolution Representation Learning for Visual Recognition
2020 Standout
Deep Reinforcement Learning: A Brief Survey
2017 Standout
Recent advances in convolutional neural networks
2017 Standout
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
Deep learning applications and challenges in big data analytics
2015 Standout
DGM: A deep learning algorithm for solving partial differential equations
2018 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 Nathan Silberman being referenced
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models
2009
The Devil is in the Decoder
2017