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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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62
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4276
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Papers (including subtopics)

Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling NIPS 2016
An Architecture for Deep, Hierarchical Generative Models NIPS 2016
Towards Conceptual Compression NIPS 2016
Coupled Generative Adversarial Networks NIPS 2016
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models NIPS 2016
A Powerful Generative Model Using Random Weights for the Deep Image Representation NIPS 2016
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks NIPS 2016
Ladder Variational Autoencoders NIPS 2016
Wasserstein Training of Restricted Boltzmann Machines NIPS 2016
Linear dynamical neural population models through nonlinear embeddings NIPS 2016
Rényi Divergence Variational Inference NIPS 2016
Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages NIPS 2016
Improved Techniques for Training GANs NIPS 2016
Variational Inference in Mixed Probabilistic Submodular Models NIPS 2016
Deep Learning Models of the Retinal Response to Natural Scenes NIPS 2016
Learning What and Where to Draw NIPS 2016
Conditional Image Generation with PixelCNN Decoders NIPS 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm NIPS 2016
Stochastic Variational Deep Kernel Learning NIPS 2016
Deep Learning Games NIPS 2016
A Probabilistic Framework for Deep Learning NIPS 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization NIPS 2016
Operator Variational Inference NIPS 2016
Improved Variational Inference with Inverse Autoregressive Flow NIPS 2016
Variational Autoencoder for Deep Learning of Images, Labels and Captions NIPS 2016