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Models

16,617 papers (23 classified directly here)

Subtopics

Generative Models (7,221) Diffusion Models (4,421) Large Language Models (2,733) Variational Inference (1,952) Language Models (732) Vision-Language Models (718) Foundation Models (278) Language Modeling (77) Sequence-to-Sequence (16) Variational Autoencoders (10) Neural Radiance Fields (9) Variational Autoencoder (8)

Papers per year

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20
62
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4276
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Papers (including subtopics)

Learning to Generate with Memory ICML 2016
Factored Temporal Sigmoid Belief Networks for Sequence Learning ICML 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images ICML 2016
Auxiliary Deep Generative Models ICML 2016
One-Shot Generalization in Deep Generative Models ICML 2016
Autoencoding beyond pixels using a learned similarity metric ICML 2016
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors ICML 2016
Neural Variational Inference for Text Processing ICML 2016
Pixel Recurrent Neural Networks ICML 2016
Variational Inference for Monte Carlo Objectives ICML 2016
Bidirectional Helmholtz Machines ICML 2016
A Theory of Generative ConvNet ICML 2016
Speech Bandwidth Extension Using Bottleneck Features and Deep Recurrent Neural Networks INTERSPEECH 2016
Voice Conversion Based on Trajectory Model Training of Neural Networks Considering Global Variance INTERSPEECH 2016
A Feature Study for Masking-Based Reverberant Speech Separation INTERSPEECH 2016
Generative Acoustic-Phonemic-Speaker Model Based on Three-Way Restricted Boltzmann Machine INTERSPEECH 2016
Assessing Speech Quality in Speech-Aware Hearing Aids Based on Phoneme Posteriorgrams INTERSPEECH 2016
Modeling and Transforming Speech Using Variational Autoencoders INTERSPEECH 2016
Maximum a posteriori Based Decoding for CTC Acoustic Models INTERSPEECH 2016
Language Identification Based on Generative Modeling of Posteriorgram Sequences Extracted from Frame-by-Frame DNNs and LSTM-RNNs INTERSPEECH 2016
An Iterative Phase Recovery Framework with Phase Mask for Spectral Mapping with an Application to Speech Enhancement INTERSPEECH 2016
A Novel Research to Artificial Bandwidth Extension Based on Deep BLSTM Recurrent Neural Networks and Exemplar-Based Sparse Representation INTERSPEECH 2016
Semi-Supervised Speaker Adaptation for In-Vehicle Speech Recognition with Deep Neural Networks INTERSPEECH 2016
Semi-Supervised Training in Deep Learning Acoustic Model INTERSPEECH 2016
BayesPy: Variational Bayesian Inference in Python JMLR 2016