Citation Impact
Citing Papers
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
2010 Standout
Rectified Linear Units Improve Restricted Boltzmann Machines
2010 StandoutNobel
Reinforcement Learning with Factored States and Actions
2004 StandoutNobel
Online Incremental Feature Learning with Denoising Autoencoders
2012
Deep Neural Networks for Acoustic Modeling in Speech Recognition
2012 StandoutNobel
Two Distributed-State Models For Generating High-Dimensional Time Series
2011 StandoutNobel
Infrared molecular fingerprinting of blood-based liquid biopsies for the detection of cancer
2021 StandoutNobel
Continual lifelong learning with neural networks: A review
2019 Standout
Training confounder-free deep learning models for medical applications
2020
Ethical machines: The human-centric use of artificial intelligence
2021
The backtracking survey propagation algorithm for solving random K-SAT problems
2016 StandoutNobel
A Fast Learning Algorithm for Deep Belief Nets
2006 StandoutNobel
Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation
2006 StandoutNobel
Multimodal biomedical AI
2022 Standout
Sigmoid-weighted linear units for neural network function approximation in reinforcement learning
2018 Standout
FloatBoost learning and statistical face detection
2004
Digital medicine and the curse of dimensionality
2021
Representation Learning: A Review and New Perspectives
2013 Standout
Learning multiple layers of representation
2007 StandoutNobel
To recognize shapes, first learn to generate images
2007 StandoutNobel
Deep learning in neural networks: An overview
2014 Standout
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
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines
2010 StandoutNobel
Semidefinite programming relaxations for semialgebraic problems
2003 Standout
Complexity of Null- and Positivstellensatz proofs
2001
Acoustic Modeling Using Deep Belief Networks
2011 StandoutNobel
Recent applications of big data analytics in railway transportation systems: A survey
2018 Standout
EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks
2018 Standout
Training Products of Experts by Minimizing Contrastive Divergence
2002 Standout
The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
2013 Standout
Where Do Features Come From?
2013 StandoutNobel
Train Delay Prediction Systems: A Big Data Analytics Perspective
2017
Expander graphs and their applications
2006
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
2012 StandoutNobel
Ensemble approaches for regression
2012
An Efficient Learning Procedure for Deep Boltzmann Machines
2012 StandoutNobel
Application of Deep Belief Networks for Natural Language Understanding
2014 StandoutNobel
Artificial intelligence in cancer imaging: Clinical challenges and applications
2019 Standout
The Nature of Computation
2011
Structure Learning for Deep Neural Networks Based on Multiobjective Optimization
2017 Standout
Hilbert's nullstellensatz and an algorithm for proving combinatorial infeasibility
2008
How to Represent Part-Whole Hierarchies in a Neural Network
2022 StandoutNobel
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Comparing Classification Methods for Longitudinal fMRI Studies
2010 StandoutNobel
A survey of deep neural network architectures and their applications
2016 Standout
Learning Deep Architectures for AI
2009 Standout
Dynamic Delay Predictions for Large-Scale Railway Networks: Deep and Shallow Extreme Learning Machines Tuned via Thresholdout
2017
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
2011 Standout
Learning to represent visual input
2009 StandoutNobel
Deep, Narrow Sigmoid Belief Networks Are Universal Approximators
2008 StandoutNobel
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Vision based hand gesture recognition for human computer interaction: a survey
2012 Standout
High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning
2016 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Recognizing handwritten digits using hierarchical products of experts
2002 StandoutNobel
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth
2017
Topographic Product Models Applied to Natural Scene Statistics
2005 StandoutNobel
Deep learning applications and challenges in big data analytics
2015 Standout
Deep Learning in Medical Image Analysis
2017 Standout
Most Tensor Problems Are NP-Hard
2013 Standout
Ensemble learning: A survey
2018 Standout
Semantic hashing
2008 StandoutNobel
Works of Toniann Pitassi being referenced
A Gradient-Based Boosting Algorithm for Regression Problems
2000
The Relative Complexity of NP Search Problems
1998
Generalization in Adaptive Data Analysis and Holdout Reuse
2015
Rank bounds and integrality gaps for cutting planes procedures
2004
Linear Gaps between Degrees for the Polynomial Calculus Modulo Distinct Primes
2001
Flexibly Fair Representation Learning by Disentanglement
2019
The reusable holdout: Preserving validity in adaptive data analysis
2015 Science
Lower Bounds on Hilbert's Nullstellensatz and Propositional Proofs
1996
Good Degree Bounds on Nullstellensatz Refutations of the Induction Principle
1998
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
2017