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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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Papers (including subtopics)

Improved Multimodal Deep Learning with Variation of Information NIPS 2014
Learning Generative Models with Visual Attention NIPS 2014
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NIPS 2014
Sequence to Sequence Learning with Neural Networks NIPS 2014
Semi-supervised Learning with Deep Generative Models NIPS 2014
Convolutional Kernel Networks NIPS 2014
Automated Variational Inference for Gaussian Process Models NIPS 2014
General Stochastic Networks for Classification NIPS 2014
Restricted Boltzmann machines modeling human choice NIPS 2014
Iterative Neural Autoregressive Distribution Estimator NADE-k NIPS 2014
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations NIPS 2014
Generative Adversarial Nets NIPS 2014
Factoring Variations in Natural Images with Deep Gaussian Mixture Models NIPS 2014
Variational Gaussian Inference for Bilinear Models of Count Data ACML 2014
Black Box Variational Inference AISTATS 2014
The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities CVPR 2014
Learning Non-Linear Reconstruction Models for Image Set Classification CVPR 2014
Modeling Image Patches with a Generic Dictionary of Mini-Epitomes CVPR 2014
Blind Image Quality Assessment using Semi-supervised Rectifier Networks CVPR 2014
Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction ICML 2014
Deep Generative Stochastic Networks Trainable by Backprop ICML 2014
Deep AutoRegressive Networks ICML 2014
Stochastic Backpropagation and Approximate Inference in Deep Generative Models ICML 2014
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets ICML 2014
Neural Variational Inference and Learning in Belief Networks ICML 2014