WP.L8: Efficient CNNs for Image Analysis |
Session Type: Lecture |
Time: Wednesday, September 25, 14:10 - 15:58 |
Location: South Lounge (3F) |
Session Chair: Anastasios Tefas, Aristotle University of Thessaloniki |
WP.L8.1: OPTIMIZING THE BIT ALLOCATION FOR COMPRESSION OF WEIGHTS AND ACTIVATIONS OF DEEP NEURAL NETWORKS |
Zhe Wang; Stanford University |
Jie Lin; Institute for Infocomm Research (I2R) |
Vijay Chandrasekhar; Institute for Infocomm Research (I2R) |
Bernd Girod; Stanford University |
WP.L8.2: ACCELERATING FRAMEWORK FOR SIMULTANEOUS OPTIMIZATION OF MODEL ARCHITECTURES AND TRAINING HYPERPARAMETERS |
Youngjoon Choi; Samsung SDS |
Jongwon Choi; Samsung SDS |
Hankyu Moon; Samsung SDS |
Jaeyoung Lee; Samsung SDS |
Jin-Yeop Chang; Samsung SDS |
WP.L8.3: A FIXED-POINT QUANTIZATION TECHNIQUE FOR CONVOLUTIONAL NEURAL NETWORKS BASED ON WEIGHT SCALING |
Norbert Mitschke; Karlsruhe Institute of Technology |
Michael Heizmann; Karlsruhe Institute of Technology |
Klaus-Henning Noffz; Silicon Software |
Ralf Wittmann; Silicon Software |
WP.L8.4: DISCRIMINANT ANALYSIS REGULARIZATION IN LIGHTWEIGHT DEEP CNN MODELS |
Maria Tzelepi; Aristotle University of Thessaloniki |
Anastasios Tefas; Aristotle University of Thessaloniki |
WP.L8.5: AUTONOMOUS CHOICE OF DEEP NEURAL NETWORK PARAMETERS BY A MODIFIED GENERATIVE ADVERSARIAL NETWORK |
Yantao Lu; Syracuse University |
Senem Velipasalar; Syracuse University |
WP.L8.6: TUNABLE CNN COMPRESSION THROUGH DIMENSIONALITY REDUCTION |
Lucas Fernández Brillet; Université Grenoble Alpes and STMicroelectronics |
Stéphane Mancini; Université Grenoble Alpes |
Sébastien Cleyet-Merle; STMicroelectronics |
Marina Nicolas; STMicroelectronics |