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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
Does the Generator Mind Its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer
COLING 2024
Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
NIPS 2024
Nuclear Norm Regularization for Deep Learning
NIPS 2024
Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning
NIPS 2024
High Rank Path Development: an approach to learning the filtration of stochastic processes
NIPS 2024
Unsupervised Discovery of Formulas for Mathematical Constants
NIPS 2024
NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory
NIPS 2024
3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization
NIPS 2024
VFIMamba: Video Frame Interpolation with State Space Models
NIPS 2024
MAFIA: Multi-Adapter Fused Inclusive Language Models
EACL 2024
Trajectory Flow Matching with Applications to Clinical Time Series Modelling
NIPS 2024
Pessimistic Backward Policy for GFlowNets
NIPS 2024
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-Weighted Brain MR Images
WACV 2024
Adversarial Likelihood Estimation With One-Way Flows
WACV 2024
Towards Realistic Generative 3D Face Models
WACV 2024
GFlowNet Assisted Biological Sequence Editing
NIPS 2024
A Generative Multi-Resolution Pyramid and Normal-Conditioning 3D Cloth Draping
WACV 2024
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
NIPS 2024
Video Instance Matting
WACV 2024
Optimal Flow Matching: Learning Straight Trajectories in Just One Step
NIPS 2024
GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics
NIPS 2024
VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models
ACL 2024
Mixture of Tokens: Continuous MoE through Cross-Example Aggregation
NIPS 2024
Holistic Evaluation for Interleaved Text-and-Image Generation
EMNLP 2024
Simplified and Generalized Masked Diffusion for Discrete Data
NIPS 2024
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