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← Models
Deep Learning
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Models
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Generative Models
6,381 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
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
NIPS 2023
AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution
NIPS 2023
Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system
NIPS 2023
D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts
NIPS 2023
Dynamically Masked Discriminator for GANs
NIPS 2023
Moment Matching Denoising Gibbs Sampling
NIPS 2023
$\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
NIPS 2023
Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events
NIPS 2023
Gaussian Mixture Solvers for Diffusion Models
NIPS 2023
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
NIPS 2023
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability
NIPS 2023
NeRF Revisited: Fixing Quadrature Instability in Volume Rendering
NIPS 2023
Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States
NIPS 2023
Towards Test-Time Refusals via Concept Negation
NIPS 2023
VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation
NIPS 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
NIPS 2023
Canonical normalizing flows for manifold learning
NIPS 2023
Regularizing Neural Networks with Meta-Learning Generative Models
NIPS 2023
Energy Transformer
NIPS 2023
High-Fidelity Audio Compression with Improved RVQGAN
NIPS 2023
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift
NIPS 2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling
NIPS 2023
Beta Diffusion
NIPS 2023
A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design
NIPS 2023
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
NIPS 2023
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