Deep Learning

1. Exact deep learning machinesArni S.R. Srinivasa Rao2. Multiscale representation learning for biomedical analysisAbhishek Singh, Utkarsh Porwal, Anurag Bhardwaj, and Wei Jin3. Adversarial attacks and robust defenses in deep learningChun Pong Lau, Jiang Liu, Wei-An Lin, Hossein Souri, Pirazh Khorramshahi, and Rama Chellappa4. Deep metric learning for computer vision: A brief overview Deen Dayal Mohan, Bhavin Jawade, Srirangaraj Setlur, and Venu Govindaraju5. Source distribution weighted multisource domain adaptation without access to source dataSk Miraj Ahmed, Dripta S. Raychaudhuri, Samet Oymak, and Amit K. Roy-Chowdhury6. Deep learning methods for scientific and industrial researchG.K. Patra, Kantha Rao Bhimala, Ashapurna Marndi, Saikat Chowdhury, Jarjish Rahaman, Sutanu Nandi, Ram Rup Sarkar, K.C. Gouda, K.V. Ramesh, Rajesh P. Barnwal, Siddhartha Raj, and Anil Saini7. On bias and fairness in deep learning-based facial analysisSurbhi Mittal, Puspita Majumdar, Mayank Vatsa, and Richa Singh8. Manipulating faces for identity theft via morphing and deepfake: Digital privacyAkshay Agarwal and Nalini Ratha