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Generative Models

197 papers

Papers per year

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14
31
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Papers

Reinforcement Learning for Topic Models ACL 2023
Text Augmentation Using Dataset Reconstruction for Low-Resource Classification ACL 2023
Scaling Up GANs for Text-to-Image Synthesis CVPR 2023
DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM EMNLP 2023
GenKIE: Robust Generative Multimodal Document Key Information Extraction EMNLP 2023
Dirichlet Diffusion Score Model for Biological Sequence Generation ICML 2023
Composer: Creative and Controllable Image Synthesis with Composable Conditions ICML 2023
Poisoning Generative Replay in Continual Learning to Promote Forgetting ICML 2023
Autoregressive Diffusion Model for Graph Generation ICML 2023
Exploring Chemical Space with Score-based Out-of-distribution Generation ICML 2023
Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness NIPS 2022
A Kernelised Stein Statistic for Assessing Implicit Generative Models NIPS 2022
Are GANs overkill for NLP? NIPS 2022
Private Set Generation with Discriminative Information NIPS 2022
Retrieval-Augmented Diffusion Models NIPS 2022
Poisson Flow Generative Models NIPS 2022
Regularized Molecular Conformation Fields NIPS 2022
First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data NIPS 2022
GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs NIPS 2022
Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN) NIPS 2022
Hiding Images in Deep Probabilistic Models NIPS 2022
Amortized Projection Optimization for Sliced Wasserstein Generative Models NIPS 2022
Whitening Convergence Rate of Coupling-based Normalizing Flows NIPS 2022
Neurosymbolic Deep Generative Models for Sequence Data with Relational Constraints NIPS 2022
Low-Light Image Enhancement with Normalizing Flow AAAI 2022