2 papers
cs.CV2026
BLENDER: Blended Text Embeddings and Diffusion Residuals for Intra-Class Image Synthesis in Deep Metric Learning
Jan Niklas Kolf, Ozan Tezcan, Justin Theiss +7
The rise of Deep Generative Models (DGM) has enabled the generation of high-quality synthetic data. When used to augment authentic data in Deep Metric Learning (DML), these synthet…
cs.CL2025
Language Modeling with Learned Meta-Tokens
Alok N. Shah, Khush Gupta, Keshav Ramji +1
While modern Transformer-based language models (LMs) have achieved major success in multi-task generalization, they often struggle to capture long-range dependencies within their c…