Deep unfolding inference for supervised topic model
Explore this paper's citation graph
- Type
- article
- Published
- 2016-03-20
- Cited by
- 10
- References
- 22
- OpenAlex
- https://openalex.org/W2396848693
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:12991956
Keywords
Inference, Artificial intelligence, Computer science, Machine learning, Bayes' theorem
References
- Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures
- Dirichlet Class Language Models for Speech Recognition
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Hierarchical Pitman–Yor–Dirichlet Language Model
- Exponentiated Gradient Versus Gradient Descent for Linear Predictors
- Estimating the "Wrong" Graphical Model: Benefits in the Computation-Limited Setting
- Latent Dirichlet learning for document summarization
- Supervised Topic Models
- A discriminative framework for modelling object classes
- Variational algorithms for approximate Bayesian inference
- DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
- Topic-Based Hierarchical Segmentation
- MedLDA: maximum margin supervised topic models
- A Probabilistic Latent Variable Model for Acoustic Modeling
- Adaptive Bayesian Latent Semantic Analysis
- Principled Hybrids of Generative and Discriminative Models
- Structured Learning with Approximate Inference
- Simultaneous image classification and annotation
- Probabilistic topic models
- Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure
Cited by
- Deep Unfolding for Topic Models
- Building recurrent networks by unfolding iterative thresholding for sequential sparse recovery
- Variational manifold learning for speaker recognition
- Stochastic Recurrent Neural Network for Speech Recognition
- Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation
- Improving and Unfolding Statistical Models of Nonstationary Signals
- Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling
- Deep Autoencoding Topic Model With Scalable Hybrid Bayesian Inference
- Joint Music Segmentation and Clustering Based on Self-Attentive Contrastive Learning of Multifaceted Self-Similarity Representation
- UKF-Based Model Parameter Estimation to Localize the Seizure Onset Zone in ECoG
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