MA4b: Deep Neural Networks |
Session Type: Oral |
Time: Monday, October 29, 10:15 - 11:55 |
Location: Heather |
Session Chair: Rudolf Mathar, RWTH Aachen University |
MA4b-1: GRAPH REGULARIZED AUTOENCODER-BASED UNSUPERVISED FEATURE SELECTION |
Siwei Feng; University of Massachusetts Amherst |
Marco Duarte; University of Massachusetts Amherst |
MA4b-2: ON GENERATION OF ADVERSARIAL EXAMPLES USING CONVEX PROGRAMMING |
Emilio Rafael Balda; RWTH Aachen University |
Arash Behboodi; RWTH Aachen University |
Rudolf Mathar; RWTH Aachen University |
MA4b-3: DATA DROPOUT IN ARBITRARY BASIS FOR DEEP NETWORK REGULARIZATION |
Mostafa Rahmani; University of Central Florida |
George Atia; University of Central Florida |
MA4b-4: TRAINING RECURRENT NEURAL NETWORKS AGAINST NOISY COMPUTATIONS DURING INFERENCE |
Minghai Qin; WDC |
Dejan Vucinic; WDC |