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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

2
20
62
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4276
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Papers (including subtopics)

Learning Sparse Prototypes for Text Generation NIPS 2020
Implicit Rank-Minimizing Autoencoder NIPS 2020
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks NIPS 2020
The Autoencoding Variational Autoencoder NIPS 2020
Markovian Score Climbing: Variational Inference with KL(p||q) NIPS 2020
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows NIPS 2020
On the Expressiveness of Approximate Inference in Bayesian Neural Networks NIPS 2020
Variational Bayesian Unlearning NIPS 2020
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding NIPS 2020
Variational Amodal Object Completion NIPS 2020
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation NIPS 2020
Bayesian Attention Modules NIPS 2020
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds NIPS 2020
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks NIPS 2020
GAN Memory with No Forgetting NIPS 2020
Relative gradient optimization of the Jacobian term in unsupervised deep learning NIPS 2020
Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds NIPS 2020
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample NIPS 2020
MPNet: Masked and Permuted Pre-training for Language Understanding NIPS 2020
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis NIPS 2020
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization NIPS 2020
f-Divergence Variational Inference NIPS 2020
Neural Manifold Ordinary Differential Equations NIPS 2020
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data NIPS 2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models NIPS 2020