1 code implementation • 10 Apr 2024 • Lucas Goncalves, Prashant Mathur, Chandrashekhar Lavania, Metehan Cekic, Marcello Federico, Kyu J. Han
Recent advancements in audio-visual generative modeling have been propelled by progress in deep learning and the availability of data-rich benchmarks.
no code implementations • NeurIPS 2021 • Shengjie Wang, Tianyi Zhou, Chandrashekhar Lavania, Jeff A. Bilmes
Robust submodular partitioning promotes the diversity of every block in the partition.
no code implementations • 16 Oct 2020 • Suraj Kothawade, Jiten Girdhar, Chandrashekhar Lavania, Rishabh Iyer
Unfortunately, these models only learn the relative importance of the different submodular functions (such as diversity, representation or importance), but cannot learn more complex feature representations, which are often required for state-of-the-art performance.