2 papers
cs.CV2024
Diffusion Models For Multi-Modal Generative Modeling
Changyou Chen, Han Ding, Bunyamin Sisman +5
Diffusion-based generative modeling has been achieving state-of-the-art results on various generation tasks. Most diffusion models, however, are limited to a single-generation mode…
cs.LG2024
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
Yue Xing, Xiaofeng Lin, Qifan Song +3
Pre-training is known to generate universal representations for downstream tasks in large-scale deep learning such as large language models. Existing literature, e.g., \cite{kim202…