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Methodology
← Models
Deep Learning
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Models
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Generative Models
6381 directly classified papers
Papers per year
2003: 2
2004: 1
2006: 3
2007: 3
2008: 6
2009: 5
2010: 11
2011: 14
2012: 17
2013: 23
2014: 17
2015: 34
2016: 64
2017: 150
2018: 286
2019: 566
2020: 626
2021: 827
2022: 730
2023: 1027
2024: 897
2025: 824
2026: 248
Papers
NVAE: A Deep Hierarchical Variational Autoencoder
NIPS 2020
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction
NIPS 2020
ContraGAN: Contrastive Learning for Conditional Image Generation
NIPS 2020
Flows for simultaneous manifold learning and density estimation
NIPS 2020
Deep Archimedean Copulas
NIPS 2020
Training Generative Adversarial Networks by Solving Ordinary Differential Equations
NIPS 2020
GANSpace: Discovering Interpretable GAN Controls
NIPS 2020
Distributional Robustness with IPMs and links to Regularization and GANs
NIPS 2020
MinMax Methods for Optimal Transport and Beyond: Regularization, Approximation and Numerics
NIPS 2020
Implicit Rank-Minimizing Autoencoder
NIPS 2020
Reciprocal Adversarial Learning via Characteristic Functions
NIPS 2020
Compositional Visual Generation with Energy Based Models
NIPS 2020
Autoregressive Score Matching
NIPS 2020
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
NIPS 2020
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification
NIPS 2020
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
NIPS 2020
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration
NIPS 2020
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
NIPS 2020
High-Fidelity Generative Image Compression
NIPS 2020
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling
NIPS 2020
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
NIPS 2020
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
NIPS 2020
Linear Time Sinkhorn Divergences using Positive Features
NIPS 2020
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
NIPS 2020
Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples
NIPS 2020
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