Citation Impact
Citing Papers
Distributed Dual Averaging In Networks
2010
Large Scale Distributed Deep Networks
2012 Standout
Cyclic Equilibria in Markov Games
2005
Paraphrase-Driven Learning for Open Question Answering
2013
Best-Response Multiagent Learning in Non-Stationary Environments
2004
Mapreduce is Good Enough?If All You Have is a Hammer, Throw Away Everything That's Not a Nail!
2013
Text Data Augmentation for Deep Learning
2021 Standout
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
Preparing Medical Imaging Data for Machine Learning
2020 Standout
Mastering the game of Go with deep neural networks and tree search
2016 StandoutNatureNobel
If multi-agent learning is the answer, what is the question?
2007
How can primary school students learn self-regulated learning strategies most effectively?
2008 Standout
Multiagent learning in the presence of agents with limitations
2003
Brain Intelligence: Go beyond Artificial Intelligence
2017 Standout
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
2020 Standout
Big Data: Survey, Technologies, Opportunities, and Challenges
2014 Standout
Cooperative Multi-Agent Learning: The State of the Art
2005
Convergence and No-Regret in Multiagent Learning
2004
ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models
2022
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications
2020 Standout
A Tucker Deep Computation Model for Mobile Multimedia Feature Learning
2017 Standout
Multi-agent learning and the descriptive value of simple models
2007 StandoutNobel
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
Multiagent systems: algorithmic, game-theoretic, and logical foundations
2009 Standout
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
2019 Standout
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
2010 Standout
AWESOME: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents
2006
A Comprehensive Survey of Multiagent Reinforcement Learning
2008 Standout
Deep Reinforcement Learning: A Brief Survey
2017 Standout
Recent advances in convolutional neural networks
2017 Standout
A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures
2019 Standout
An Efficient Optimal-Equilibrium Algorithm for Two-player Game Trees
2012
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
2017 Standout
A survey and critique of multiagent deep reinforcement learning
2019
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
2019 Standout
A Survey on Applications of Model-Free Strategy Learning in Cognitive Wireless Networks
2016
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
Counterfactual Multi-Agent Policy Gradients
2018 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 Keith Hall being referenced
Correlated-Q learning
2003
Distributed Training Strategies for the Structured Perceptron
2010
Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset
2020