2 papers
cs.LG2026
Trainable Bitwise Soft Quantization for Input Feature Compression
Karsten Schrödter, Jan Stenkamp, Nina Herrmann +1
The growing demand for machine learning applications in the context of the Internet of Things calls for new approaches to optimize the use of limited compute and memory resources.…
cs.IR2024
CLIP-Branches: Interactive Fine-Tuning for Text-Image Retrieval
Christian Lülf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles +2
The advent of text-image models, most notably CLIP, has significantly transformed the landscape of information retrieval. These models enable the fusion of various modalities, such…