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Deep Learning
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Learning Types
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Generative Model
20 papers
Papers per year
2018: 1
1
2020: 2
2
2022: 1
1
2023: 1
1
2024: 2
2
2025: 6
6
2026: 7
7
Papers
SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation
ACL 2026
AFT-Tab: Adversarial Fine-Tuning for Tabular Data Synthesis with Long Text Columns
ACL 2026
CAML: A Conflict-Aware Molecular Language Model Merging Framework for Multi-Constraint Molecular Generation
ACL 2026
Data Pollination: An Emergent Ecological Process Driving AI Population Evolution
ACL 2026
On the Role of Discriminative Models in Generative Relation Extraction
ACL 2026
Reviving Iterative Refinement in Diffusion-based NER with an Initializer-Restorer Approach
ACL 2026
AesX: Enhance Your Images with Stunning Aesthetic Beauty
ACL 2026
JEN-1 Composer: A Unified Framework for High-Fidelity Multi-Track Music Generation
AAAI 2025
Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation
ACL 2025
Mitigating analytical variability in fMRI with style transfer
MIDL 2025
Causal PETS: Causality-Informed PET Synthesis from Multi-modal Data
MIDL 2025
Anatomy-Guided Surface Diffusion Model for Alzheimer’s Disease Normative Modeling
MIDL 2025
Point-Based Shape Representation Generation with a Correspondence-Preserving Diffusion Model
MIDL 2025
Diverse Yet Biased: Towards Mitigating Biases in Generative AI (Student Abstract)
AAAI 2024
A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction
IJCAI 2024
VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation
NIPS 2023
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization
NIPS 2022
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond
ACL 2020
Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation
EMNLP 2020
The Importance of Generation Order in Language Modeling
EMNLP 2018
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