MP6b.4

Joint Source-Environment Adaptation for Deep Learning-Based Underwater Acoustic Source Ranging

Dariush Kari, University of Illinois Urbana-Champaign, United States; Andrew Singer, Stony Brook University, United States
Session:
MP6b: Deep Learning and Transformers Lecture
Track:
Adaptive Systems, Machine Learning, and Data Analytics
Location:
Evergreen
Presentation Time:
Mon, 28 Oct, 16:45 - 17:10 PT (UTC -8)
Session Chair:
Shahana Ibrahim, University of Central Florida
Presentation
Discussion
Resources
No resources available.
Session MP6b
MP6b.1: Expert-Guided Transformers: Advancing CAD Diagnosis
Riya Salian, Ayan Banerjee, Payal Kamboj, Anil Sriramoju, Srivathsan Komandoor, Sandeep Gupta, Arizona State University, United States
MP6b.2: Deep Learning under Instance-dependent Label Noise: A Tensor Factorization Perspective
Diego Linares Gonzalez, Shahana Ibrahim, University of Central Florida, United States
MP6b.3: Vision Transformer for Arrhythmia Classification
Dorsa Esmaeilpourmoghaddam, Rice University, United States; Mehdi Razavi, The Texas Heart Institute, United States; Behnaam Aazhang, Rice University, United States
MP6b.4: Joint Source-Environment Adaptation for Deep Learning-Based Underwater Acoustic Source Ranging
Dariush Kari, University of Illinois Urbana-Champaign, United States; Andrew Singer, Stony Brook University, United States
Contacts