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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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Papers (including subtopics)

Sample Elicitation AISTATS 2021
Variational inference for nonlinear ordinary differential equations AISTATS 2021
A Change of Variables Method For Rectangular Matrix-Vector Products AISTATS 2021
Automatic Differentiation Variational Inference with Mixtures AISTATS 2021
Hyperbolic graph embedding with enhanced semi-implicit variational inference. AISTATS 2021
Scalable Gaussian Process Variational Autoencoders AISTATS 2021
Causal Autoregressive Flows AISTATS 2021
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders AISTATS 2021
Learning Bijective Feature Maps for Linear ICA AISTATS 2021
GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences AISTATS 2021
Latent Gaussian process with composite likelihoods and numerical quadrature AISTATS 2021
Deep Generative Missingness Pattern-Set Mixture Models AISTATS 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021
Learning Temporal Point Processes with Intermittent Observations AISTATS 2021
Rate-Regularization and Generalization in Variational Autoencoders AISTATS 2021
On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models AISTATS 2021
Meta-Learning Divergences for Variational Inference AISTATS 2021
Statistical guarantees for generative models without domination ALT 2021
On Empirical Bayes Variational Autoencoder: An Excess Risk Bound COLT 2021
Exploring Metaphoric Paraphrase Generation CONLL 2021
Controlling Prosody in End-to-End TTS: A Case Study on Contrastive Focus Generation CONLL 2021
Predicting non-native speech perception using the Perceptual Assimilation Model and state-of-the-art acoustic models CONLL 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction CVPR 2021
Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo CVPR 2021
Visually Informed Binaural Audio Generation without Binaural Audios CVPR 2021