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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
VQ-Map: Bird's-Eye-View Map Layout Estimation in Tokenized Discrete Space via Vector Quantization
NIPS 2024
Neural Cover Selection for Image Steganography
NIPS 2024
A Tractable Inference Perspective of Offline RL
NIPS 2024
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
NIPS 2024
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models
NIPS 2024
EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals
NIPS 2024
Generative Retrieval Meets Multi-Graded Relevance
NIPS 2024
GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields
NIPS 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
NIPS 2024
Unity by Diversity: Improved Representation Learning for Multimodal VAEs
NIPS 2024
HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors
NIPS 2024
FastDrag: Manipulate Anything in One Step
NIPS 2024
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines
NIPS 2024
Full-Atom Peptide Design with Geometric Latent Diffusion
NIPS 2024
Structural Inference of Dynamical Systems with Conjoined State Space Models
NIPS 2024
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback
NIPS 2024
Pricing and Competition for Generative AI
NIPS 2024
Accelerating Relative Entropy Coding with Space Partitioning
NIPS 2024
On Divergence Measures for Training GFlowNets
NIPS 2024
Conditional Synthesis of 3D Molecules with Time Correction Sampler
NIPS 2024
Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering
NIPS 2024
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
NIPS 2024
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
NIPS 2024
Personalized Federated Learning via Feature Distribution Adaptation
NIPS 2024
Generating Highly Designable Proteins with Geometric Algebra Flow Matching
NIPS 2024
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