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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)

Unbiased Implicit Variational Inference AISTATS 2019
Pathwise Derivatives for Multivariate Distributions AISTATS 2019
Efficient Inference in Multi-task Cox Process Models AISTATS 2019
Forward Amortized Inference for Likelihood-Free Variational Marginalization AISTATS 2019
Auto-Encoding Total Correlation Explanation AISTATS 2019
Adversarial Variational Optimization of Non-Differentiable Simulators AISTATS 2019
Fast and Robust Shortest Paths on Manifolds Learned from Data AISTATS 2019
Inverting Supervised Representations with Autoregressive Neural Density Models AISTATS 2019
Deep learning with differential Gaussian process flows AISTATS 2019
Implicit Kernel Learning AISTATS 2019
Training Variational Autoencoders with Buffered Stochastic Variational Inference AISTATS 2019
Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes AISTATS 2019
Avoiding Latent Variable Collapse with Generative Skip Models AISTATS 2019
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization AISTATS 2019
Doubly Semi-Implicit Variational Inference AISTATS 2019
Variance reduction properties of the reparameterization trick AISTATS 2019
Variational Noise-Contrastive Estimation AISTATS 2019
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference AISTATS 2019
A recurrent Markov state-space generative model for sequences AISTATS 2019
Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators AISTATS 2019
Reparameterizing Distributions on Lie Groups AISTATS 2019
The LORACs Prior for VAEs: Letting the Trees Speak for the Data AISTATS 2019
Structured Neural Topic Models for Reviews AISTATS 2019
Theoretical guarantees for sampling and inference in generative models with latent diffusions COLT 2019
Improving Pre-Trained Multilingual Model with Vocabulary Expansion CONLL 2019