1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SD2026
DINO-A: Adapting Self-Distillation Vision Transformers to General Audio Representation Learning
Tomasz Radzikowski, Mateusz Modrzejewski, Przemysław Rokita
We present DINO-A, an adaptation of self-distillation from vision to general audio representation learning. While DINO has become a canonical method in self-supervised vision and p…
cs.SD2025★ 1 cited
Prevailing Research Areas for Music AI in the Era of Foundation Models
Megan Wei, Mateusz Modrzejewski, Aswin Sivaraman +1
Parallel to rapid advancements in foundation model research, the past few years have witnessed a surge in music AI applications. As AI-generated and AI-augmented music become incre…