6 citations · 9 across the 2 of their papers we have counts for
3 papers
Leveraging Organizational Resources to Adapt Models to New Data Modalities
Sahaana Suri, Raghuveer Chanda, Neslihan Bulut +7
As applications in large organizations evolve, the machine learning (ML) models that power them must adapt the same predictive tasks to newly arising data modalities (e.g., a new v…
HUSE: Hierarchical Universal Semantic Embeddings
Pradyumna Narayana, Aniket Pednekar, Abishek Krishnamoorthy +2
There is a recent surge of interest in cross-modal representation learning corresponding to images and text. The main challenge lies in mapping images and text to a shared latent s…
A Framework for Deep Constrained Clustering -- Algorithms and Advances
Hongjing Zhang, Sugato Basu, Ian Davidson
The area of constrained clustering has been extensively explored by researchers and used by practitioners. Constrained clustering formulations exist for popular algorithms such as…