7 papers
Smart Timing for Mining: A Deep Learning Framework for Bitcoin Hardware ROI Prediction
Sithumi Wickramasinghe, Bikramjit Das, Dorien Herremans
Bitcoin mining hardware acquisition requires strategic timing due to volatile markets, rapid technological obsolescence, and protocol-driven revenue cycles. Despite mining's evolut…
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…
HHNAS-AM: Hierarchical Hybrid Neural Architecture Search using Adaptive Mutation Policies
Anurag Tripathi, Ajeet Kumar Singh, Rajsabi Surya +4
Neural Architecture Search (NAS) has garnered significant research interest due to its capability to discover architectures superior to manually designed ones. Learning text repres…
End-to-End Text-to-SQL with Dataset Selection: Leveraging LLMs for Adaptive Query Generation
Anurag Tripathi, Vaibhav Patle, Abhinav Jain +4
Text-to-SQL bridges the gap between natural language and structured database language, thus allowing non-technical users to easily query databases. Traditional approaches model tex…
Are We There Yet? A Brief Survey of Music Emotion Prediction Datasets, Models and Outstanding Challenges
Jaeyong Kang, Dorien Herremans
Deep learning models for music have advanced drastically in recent years, but how good are machine learning models at capturing emotion, and what challenges are researchers facing?…
To Embody or Not: The Effect Of Embodiment On User Perception Of LLM-based Conversational Agents
Kyra Wang, Boon-Kiat Quek, Jessica Goh +1
Embodiment in conversational agents (CAs) refers to the physical or visual representation of these agents, which can significantly influence user perception and interaction. Limite…