Citation Impact
Citing Papers
Fast dropout training
2013
Dropout: a simple way to prevent neural networks from overfitting
2014 StandoutNobel
Learning with Marginalized Corrupted Features
2013
Learning in Markov Random Fields using Tempered Transitions
2009
Transferring naive bayes classifiers for text classification
2007
To transfer or not to transfer
2005
Two Distributed-State Models For Generating High-Dimensional Time Series
2011 StandoutNobel
Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation
2016
Extraction of semantic biomedical relations from text using conditional random fields
2008
DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants
2016 Standout
Hybrid computing using a neural network with dynamic external memory
2016 StandoutNatureNobel
Accurate calculation of side chain packing and free energy with applications to protein molecular dynamics
2018 StandoutNobel
A Fast Learning Algorithm for Deep Belief Nets
2006 StandoutNobel
Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria
2010 Standout
The Impact of Climate Change on Indigenous Arabica Coffee (Coffea arabica): Predicting Future Trends and Identifying Priorities
2012 Standout
SMOTE for high-dimensional class-imbalanced data
2013
Interpreting single trial data using groupwise regularisation
2009
Trajectory-based training enables protein simulations with accurate folding and Boltzmann ensembles in cpu-hours
2018 StandoutNobel
Representation Learning: A Review and New Perspectives
2013 Standout
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
2012 Standout
Sample selection bias and presence‐only distribution models: implications for background and pseudo‐absence data
2009 Standout
Learning multiple layers of representation
2007 StandoutNobel
Toward Integrated Scene Text Reading
2013
Deep learning in neural networks: An overview
2014 Standout
Potential Geographic Distribution of Brown Marmorated Stink Bug Invasion (Halyomorpha halys)
2012
Scene Text Recognition Using Similarity and a Lexicon with Sparse Belief Propagation
2009
Whatever next? Predictive brains, situated agents, and the future of cognitive science
2013 Standout
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
2017 Standout
An empirical study of classification algorithm evaluation for financial risk prediction
2010
Text Detection and Recognition in Imagery: A Survey
2014 Standout
Learning with tensors: a framework based on convex optimization and spectral regularization
2013
Essence of digital transformation—Manifestations at large financial institutions from North America
2019 Standout
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Inverting the Generator of a Generative Adversarial Network
2018
Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation
2007
Joint Conditional Random Field Filter for Multi-Object Tracking
2011
Incremental Slow Feature Analysis: Adaptive Low-Complexity Slow Feature Updating from High-Dimensional Input Streams
2012
Climate informed long term seasonal forecasts of hydroenergy inflow for the Brazilian hydropower system
2009
Generative Adversarial Networks: An Overview
2018 Standout
An Alternative Prior Process for Nonparametric Bayesian Clustering
2008
Search-based structured prediction
2009
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination
2015 Standout
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
2017 Standout
A Comprehensive Survey on Transfer Learning
2020 Standout
Simultaneously Discovering and Quantifying Risk Types from Textual Risk Disclosures
2014 Standout
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
2017 Standout
Global Contrast Based Salient Region Detection
2014 Standout
An Efficient Learning Procedure for Deep Boltzmann Machines
2012 StandoutNobel
Integrating multiple character proposals for robust scene text extraction
2013
A practical guide to MaxEnt for modeling species' distributions: what it does, and why inputs and settings matter
2013 Standout
A circadian gene expression atlas in mammals: Implications for biology and medicine
2014 Standout
Reduction of wasted energy in a volunteer computing system through Reinforcement Learning
2014
Support vector machines under adversarial label contamination
2015
A discriminative semi-Markov model for robust scene text recognition
2008
Deep learning enabled intelligent fault diagnosis: Overview and applications
2018
Wikidata
2014 Standout
Transfer learning in heterogeneous collaborative filtering domains
2013
Graphical Models, Exponential Families, and Variational Inference
2007
The art of modelling range-shifting species
2010 Standout
Multi-view latent variable discriminative models for action recognition
2012
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
2010 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Deep High-Resolution Representation Learning for Visual Recognition
2020 Standout
Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
2008 Standout
Impact of the Invasive Brown Marmorated Stink Bug in North America and Europe: History, Biology, Ecology, and Management
2017 Standout
D-Confidence: an active learning strategy to reduce label disclosure complexity in the presence of imbalanced class distributions
2012
Fields of Experts
2009
ImageSpirit
2014
Deep Reinforcement Learning: A Brief Survey
2017 Standout
Recent advances in convolutional neural networks
2017 Standout
Soft Robotic Grippers
2018 Standout
Sequential Labeling Using Deep-Structured Conditional Random Fields
2010
A statistical explanation of MaxEnt for ecologists
2010 Standout
A Survey on Transfer Learning
2009 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Probabilistic topic models
2012 Standout
A state-of the-art survey of TOPSIS applications
2012 Standout
Energy savings by energy management systems: A review
2015 Standout
A review on energy scenario and sustainable energy in Indonesia
2012 Standout
Multimodal Machine Learning: A Survey and Taxonomy
2018 Standout
Cloud computing: state-of-the-art and research challenges
2010 Standout
A Survey on Mobile Edge Computing: The Communication Perspective
2017 Standout
Boosting for transfer learning
2007
Building Watson: An Overview of the DeepQA Project
2010
FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data
2010 Standout
TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context
2007
Works of Charles Sutton being referenced
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
2017
Learning in Markov Random Fields with Contrastive Free Energies
2005
Exploiting machine learning to subvert your spam filter
2008
Statistical machine learning makes automatic control practical for internet datacenters
2009
Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data
2007
Reducing weight undertraining in structured discriminative learning
2006
Piecewise Training for Undirected Models
2012
Word storms
2014
Piecewise training for structured prediction
2009
Composition of conditional random fields for transfer learning
2005
Bayesian Modeling of Dependency Trees Using Hierarchical Pitman-Yor Priors
2008
Dynamic conditional random fields
2004
Feature Bagging: Preventing Weight Undertraining in Structured Discriminative Learning
2005
Sparse Forward-Backward Using Minimum Divergence Beams for Fast Training Of Conditional Random Fields
2006
Piecewise pseudolikelihood for efficient training of conditional random fields
2007