conftrace_
← Learning Types
Deep Learning › Learning Types ›

Generative Model

20 papers

Papers per year

1
2
1
1
2
6
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