MP6b: Deep Learning and Transformers
Mon, 28 Oct, 15:30 - 17:10 PT (UTC -7)
Location: Evergreen
Session Type: Lecture
Track: Adaptive Systems, Machine Learning, and Data Analytics
Mon, 28 Oct, 15:30 - 15:55 PT (UTC -7)

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
Mon, 28 Oct, 15:55 - 16:20 PT (UTC -7)

MP6b.2: Deep Learning under Instance-dependent Label Noise: A Tensor Factorization Perspective
Diego Linares Gonzalez, Shahana Ibrahim, University of Central Florida, United States
Mon, 28 Oct, 16:20 - 16:45 PT (UTC -7)

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
Mon, 28 Oct, 16:45 - 17:10 PT (UTC -7)

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