1k citations
- Stanford UniversityUS33 papers
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24 papers · 1 filter
Multi-Modal Multi-Task (M3T) Federated Foundation Models for Embodied AI: Potentials and Challenges for Edge Integration
Kasra Borazjani, Payam Abdisarabshali, Fardis Nadimi +5
As embodied AI systems become increasingly multi-modal, personalized, and interactive, they must learn effectively from diverse sensory inputs, adapt continually to user preference…
Evaluation and Incident Prevention in an Enterprise AI Assistant
Akash V. Maharaj, David Arbour, Daniel Lee +6
Enterprise AI Assistants are increasingly deployed in domains where accuracy is paramount, making each erroneous output a potentially significant incident. This paper presents a co…
ScaleViz: Scaling Visualization Recommendation Models on Large Data
Ghazi Shazan Ahmad, Shubham Agarwal, Subrata Mitra +4
Automated visualization recommendations (vis-rec) help users to derive crucial insights from new datasets. Typically, such automated vis-rec models first calculate a large number o…
Augmenting Knowledge Graph Hierarchies Using Neural Transformers
Sanat Sharma, Mayank Poddar, Jayant Kumar +2
Knowledge graphs are useful tools to organize, recommend and sort data. Hierarchies in knowledge graphs provide significant benefit in improving understanding and compartmentalizat…
Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint
Harshita Chopra, Atanu R. Sinha, Sunav Choudhary +5
Users' behavioral footprints online enable firms to discover behavior-based user segments (or, segments) and deliver segment specific messages to users. Following the discovery of…
Enhancing Cross-Modal Contextual Congruence for Crowdfunding Success using Knowledge-infused Learning
Trilok Padhi, Ugur Kursuncu, Yaman Kumar +2
The digital landscape continually evolves with multimodality, enriching the online experience for users. Creators and marketers aim to weave subtle contextual cues from various mod…