Citation Impact
Citing Papers
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
2018 StandoutScienceNobel
Self Supervised Boosting
2002 StandoutNobel
Visualizing Data using t-SNE
2008 StandoutNobel
Temporal difference learning applied to a high-performance game-playing program
2001
Convex Neural Networks
2005
Bootstrapping from Game Tree Search
2009
Learning Multiple Tasks with Kernel Methods
2005
Transfer Learning for Reinforcement Learning Domains: A Survey
2009
Boosting as a Regularized Path to a Maximum Margin Classifier
2004
Understanding the difficulty of training deep feedforward neural networks
2010 Standout
Neural Mechanisms of Hierarchical Planning in a Virtual Subway Network
2016 StandoutNobel
Advancing mathematics by guiding human intuition with AI
2021 StandoutNatureNobel
Metalearning and neuromodulation
2002
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
2018 Standout
Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data
2020
Mastering the game of Go without human knowledge
2017 StandoutNatureNobel
Reinforcement learning of motor skills with policy gradients
2008
Transfer learning for activity recognition: a survey
2013
Backpropagation and the brain
2020 StandoutNobel
Collegial activity learning between heterogeneous sensors
2017
Dermatologist-level classification of skin cancer with deep neural networks
2017 StandoutNature
Human-level control through deep reinforcement learning
2015 StandoutNatureNobel
The free-energy principle: a unified brain theory?
2010 Standout
Effects of extracellular matrix viscoelasticity on cellular behaviour
2020 StandoutNature
A Fast Learning Algorithm for Deep Belief Nets
2006 StandoutNobel
Reinforcement Learning, Fast and Slow
2019 StandoutNobel
Learning to Learn Causal Models
2010
A distributional code for value in dopamine-based reinforcement learning
2020 StandoutNatureNobel
Rotation Forest: A New Classifier Ensemble Method
2006
Deep learning in histopathology: the path to the clinic
2021 Standout
A guide to deep learning in healthcare
2018 Standout
Mastering the game of Go with deep neural networks and tree search
2016 StandoutNatureNobel
Deep learning
2015 StandoutNatureNobel
Representation Learning: A Review and New Perspectives
2013 Standout
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
Discovering faster matrix multiplication algorithms with reinforcement learning
2022 StandoutNatureNobel
Frequency dependent viscoelastic properties of porcine brain tissue
2019
Prefrontal cortex as a meta-reinforcement learning system
2018 StandoutNobel
Artificial intelligence in radiology
2018 Standout
Deep learning in neural networks: An overview
2014 Standout
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
All-optical machine learning using diffractive deep neural networks
2018 StandoutScience
Inductive Transfer of Knowledge: Application of Multi-Task Learning and Feature Net Approaches to Model Tissue-Air Partition Coefficients
2009
Reinforcement learning in robotics: A survey
2013 Standout
Active learning machine learns to create new quantum experiments
2018 StandoutNobel
Transfer Learning by Structural Analogy
2011
The WEKA data mining software
2009 Standout
Temporal difference learning applied to game playing and the results of application to shogi
2001
High Performance Outdoor Navigation from Overhead Data using Imitation Learning
2008
Machine Learning in Medicine
2015 Standout
Big Data and Machine Learning in Health Care
2018 Standout
Temporal-difference search in computer Go
2012
MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets
2009 Standout
Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks
2019
A Comprehensive Survey on Transfer Learning
2020 Standout
Soft Margins for AdaBoost
2001
From Aardvark to Zorro: A Benchmark for Mammal Image Classification
2007
Deep learning for AI
2021 StandoutNobel
Human-level performance in 3D multiplayer games with population-based reinforcement learning
2019 StandoutScienceNobel
Large-Scale Optimization for Evaluation Functions with Minimax Search
2014
ImageNet: A large-scale hierarchical image database
2009 Standout
Time-Resolved Line Shapes of Single Quantum Emitters via Machine Learned Photon Correlations
2023 StandoutNobel
Least angle regression
2004 Standout
Acquisition of chess knowledge in AlphaZero
2022 StandoutNobel
Rapid Classification of Quantum Sources Enabled by Machine Learning
2020
Programming backgammon using self-teaching neural nets
2002
Estimating pixel-scale land cover classification confidence using nonparametric machine learning methods
2001
KNOWLEDGE TRANSFER IN DEEP CONVOLUTIONAL NEURAL NETS
2008
Learning Deep Architectures for AI
2009 Standout
Meta-learning within Projective Simulation
2016
Probabilistic Incremental Program Evolution
1997
Metal–Organic Frameworks in Biomedicine
2011 Standout
Regularization and Variable Selection Via the Elastic Net
2005 Standout
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
2016 Standout
Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain
2010
Greedy function approximation: A gradient boosting machine.
2001 Standout
Top-down design of protein architectures with reinforcement learning
2023 StandoutScienceNobel
Works of Jonathan Baxter being referenced
The Canonical Distortion Measure in Feature Space and 1-NN Classification
1997
Direct Optimization of Margins Improves Generalization in Combined Classifiers
1998
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
2004
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
2001
KnightCap: A Chess Programm That Learns by Combining TD(lambda) with Game-Tree Search
1998
Boosting Algorithms as Gradient Descent
1999
A Bayesian/Information Theoretic Model of Learning to Learn via Multiple Task Sampling
1997
Learning to Learn
1998
Improved Generalization Through Explicit Optimization of Margins
2000
2000
Viscoelastic properties of mitral valve leaflets: An analysis of regional variation and frequency-dependency
2017