Citation Impact
Citing Papers
Generative AI in Higher Education
2024 Standout
Unsupervised feature learning for audio classification using convolutional deep belief networks
2009
Tensor decompositions for learning latent variable models
2014 Standout
Collapsed Variational Inference for HDP
2007
Syntactic Stylometry for Deception Detection
2012
Using Universal Linguistic Knowledge to Guide Grammar Induction
2010
Stochastic Variational Inference for Bayesian Time Series Models
2014
Covariance in Unsupervised Learning of Probabilistic Grammars
2010
Spectral Learning for Non-Deterministic Dependency Parsing
2012
Collective Generation of Natural Image Descriptions
2012
Deep Neural Networks for Acoustic Modeling in Speech Recognition
2012 StandoutNobel
Modeling documents with a Deep Boltzmann Machine
2013 StandoutNobel
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Reinforcement Learning, Fast and Slow
2019 StandoutNobel
Probabilistic models of cognition: exploring representations and inductive biases
2010
Web of Science use in published research and review papers 1997–2017: a selective, dynamic, cross-domain, content-based analysis
2017
Representation Learning: A Review and New Perspectives
2013 Standout
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change
2016
Deep learning in neural networks: An overview
2014 Standout
Whatever next? Predictive brains, situated agents, and the future of cognitive science
2013 Standout
A survey on opinion mining and sentiment analysis: Tasks, approaches and applications
2015 Standout
A tale of two databases: the use of Web of Science and Scopus in academic papers
2020 Standout
A Survey on Evaluation of Large Language Models
2024 Standout
A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions
2018 Standout
Fake News Detection on Social Media
2017 Standout
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
2012 StandoutNobel
Simultaneously Discovering and Quantifying Risk Types from Textual Risk Disclosures
2014 Standout
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
2015 Standout
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
2010
Probabilistic grammars and hierarchical Dirichlet processes
2018
1D convolutional neural networks and applications: A survey
2022 Standout
Human-level concept learning through probabilistic program induction
2015 StandoutScience
Acquisition of chess knowledge in AlphaZero
2022 StandoutNobel
A survey of deep neural network architectures and their applications
2016 Standout
Variational Inference: A Review for Statisticians
2023 Standout
Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World
2021 Standout
Probabilistic topic models
2012 Standout
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
2016 Standout
Web of Science as a data source for research on scientific and scholarly activity
2020 Standout
Word embeddings quantify 100 years of gender and ethnic stereotypes
2018 Standout
Church: a language for generative models
2012
Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters
2013
Predicting crime using Twitter and kernel density estimation
2014 Standout
Talk-to-Resolve: Combining scene understanding and spatial dialogue to resolve granular task ambiguity for a collocated robot
2022
Knowledge Graph Embedding: A Survey of Approaches and Applications
2017 Standout
The Discrete Infinite Logistic Normal Distribution
2012
A Model of Text for Experimentation in the Social Sciences
2016 Standout
Multimodal Machine Learning: A Survey and Taxonomy
2018 Standout
Deep Learning for Intelligent Human–Computer Interaction
2022 Standout
Syntactic Topic Models
2010
Structural Topic Models for Open‐Ended Survey Responses
2014 Standout
A tutorial on Bayesian nonparametric models
2011
A review of topic modeling methods
2020 Standout
Emergent linguistic structure in artificial neural networks trained by self-supervision
2020
Works of Slav Petrov being referenced
The Infinite PCFG Using Hierarchical Dirichlet Processes
2007
Universal Dependencies v1: A Multilingual Treebank Collection
2016
Learning Structured Models for Phone Recognition
2007
Syntactic Annotations for the Google Books NGram Corpus
2012
Improved Inference for Unlexicalized Parsing
2007
Learning and inference for hierarchically split PCFGs
2007
A Universal Part-of-Speech Tagset
2011
Natural Questions: A Benchmark for Question Answering Research
2019