Technical Program

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MLSP-P11: Neural Networks and Pattern Recognition

Session Type: Poster
Time: Thursday, 7 May, 11:30 - 13:30
Location: On-Demand
Virtual Session: View on Virtual Platform
Session Chair: Wee Peng Tay, Nanyang Technological University
 
 MLSP-P11.1: MANGO: A PYTHON LIBRARY FOR PARALLEL HYPERPARAMETER TUNING
         Sandeep Singh Sandha; University of California, Los Angeles
         Mohit Aggarwal; Arm
         Igor Fedorov; Arm
         Mani Srivastava; University of California, Los Angeles
 
 MLSP-P11.2: ANYTIME MINIBATCH WITH DELAYED GRADIENTS: SYSTEM PERFORMANCE AND CONVERGENCE ANALYSIS
         Haider Al-Lawati; University of Toronto
         Stark Draper; University of Toronto
 
 MLSP-P11.3: ON EXPONENTIALLY CONSISTENCY OF LINKAGE-BASED HIERARCHICAL CLUSTERING ALGORITHM USING KOLMOGROV-SMIRNOV DISTANCE
         Tiexing Wang; Syracuse University
         Yang Liu; Syracuse University
         Biao Chen; Syracuse University
 
 MLSP-P11.5: A NEURAL NETWORK BASED ON FIRST PRINCIPLES
         Paul Baggenstoss; Fraunhofer FKIE
 
 MLSP-P11.6: AL2: PROGRESSIVE ACTIVATION LOSS FOR LEARNING GENERAL REPRESENTATIONS IN CLASSIFICATION NEURAL NETWORKS
         Majed El Helou; Ecole Polytechnique Fédérale de Lausanne (EPFL)
         Frederike Dümbgen; Ecole Polytechnique Fédérale de Lausanne (EPFL)
         Sabine Süsstrunk; Ecole Polytechnique Fédérale de Lausanne (EPFL)
 
 MLSP-P11.7: LABEL PROPAGATION ADAPTIVE RESONANCE THEORY FOR SEMI-SUPERVISED CONTINUOUS LEARNING
         Taehyeong Kim; Seoul National University
         Injune Hwang; Seoul National University
         Gi-Cheon Kang; Seoul National University
         Won-Seok Choi; Seoul National University
         Hyunseo Kim; Seoul National University
         Byoung-Tak Zhang; Seoul National University
 
 MLSP-P11.8: A PROBABILISTIC SCHEME FOR REPRESENTATION LEARNING WITH RADIAL TRANSFORM IMAGES
         Hojjat Salehinejad; University of Toronto
         Shahrokh Valaee; University of Toronto
 
 MLSP-P11.9: PERCEPTION-DISTORTION TRADE-OFF WITH RESTRICTED BOLTZMANN MACHINES
         Chris Cannella; Duke University
         Jie Ding; University of Minnesota
         Mohammadreza Soltani; Duke University
         Yi Zhou; University of Utah
         Vahid Tarokh; Duke University
 
 MLSP-P11.10: AN EFFICIENT ALTERNATIVE TO NETWORK PRUNING THROUGH ENSEMBLE LEARNING
         Martin Pöllot; Friedrich-Alexander Universität Erlangen-Nürnberg
         Rui Zhang; Friedrich-Alexander Universität Erlangen-Nürnberg
         André Kaup; Friedrich-Alexander Universität Erlangen-Nürnberg
 
 MLSP-P11.11: A NOVEL PRUNING APPROACH FOR BAGGING ENSEMBLE REGRESSION BASED ON SPARSE REPRESENTATION
         Amir Ehsan Khorashadi-Zadeh; Sharif University of Technology
         Massoud Babaie-Zadeh; Sharif University of Technology
         Christian Jutten; University Grenoble Alpes
 
 MLSP-P11.12: K-AUTOENCODERS DEEP CLUSTERING
         Yaniv Opochinsky; Bar-Ilan University
         Shlomo E. Chazan; Bar-Ilan University
         Sharon Gannot; Bar-Ilan University
         Jacob Goldberger; Bar-Ilan University