WP.L7: Special Session - Explainable Machine Learning for Image Processing |
Session Type: Lecture |
Time: Wednesday, September 25, 14:10 - 15:58 |
Location: Room 201DE (2F) |
Session Chairs: Konstantinos Plataniotis, University of Toronto and Arash Mohammadi, Concordia University |
WP.L7.1: ENSEMBLES OF FEEDFORWARD-DESIGNED CONVOLUTIONAL NEURAL NETWORKS |
Yueru Chen; University of Southern California |
Yijing Yang; University of Southern California |
Wei Wang; University of Southern California |
C.-C. Jay Kuo; University of Southern California |
WP.L7.2: IMPROVING ROBUSTNESS TO ADVERSARIAL EXAMPLES BY ENCOURAGING DISCRIMINATIVE FEATURES |
Chirag Agarwal; University of Illinois at Chicago |
Anh Nguyen; Auburn University |
Dan Schonfeld; University of Illinois at Chicago |
WP.L7.3: TOWARDS EXPLAINABLE FACE AGING WITH GENERATIVE ADVERSARIAL NETWORKS |
Angelo Genovese; Università degli Studi di Milano |
Vincenzo Piuri; Università degli Studi di Milano |
Fabio Scotti; Università degli Studi di Milano |
WP.L7.4: WHEN CAUSAL INTERVENTION MEETS ADVERSARIAL EXAMPLES AND IMAGE MASKING FOR DEEP NEURAL NETWORKS |
Chao-Han Huck Yang; Georgia Institute of Technology |
Yi-Chieh Liu; Georgia Institute of Technology |
Pin-Yu Chen; IBM Research |
Xiaoli Ma; Georgia Institute of Technology |
Yi-Chang James Tsai; Georgia Institute of Technology |
WP.L7.5: CAPSULE NETWORKS' INTERPRETABILITY FOR BRAIN TUMOR CLASSIFICATION VIA RADIOMICS ANALYSES |
Parnian Afshar; Concordia University |
Konstantinos N. Plataniotis; University of Toronto |
Arash Mohammadi; Concordia University |
WP.L7.6: PROBENET: PROBING DEEP NETWORKS |
Jae-Hyeok Lee; Korea Advanced Institute of Science and Technology (KAIST) |
Seong Tae Kim; Korea Advanced Institute of Science and Technology (KAIST) |
Yong Man Ro; Korea Advanced Institute of Science and Technology (KAIST) |