Technical Program

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MLSP-P14: Topics in Machine Learning

Session Type: Poster
Time: Friday, 8 May, 11:45 - 13:45
Location: On-Demand
Virtual Session: View on Virtual Platform
Session Chair: Chandra Murthy, Indian Institute of Science
 
 MLSP-P14.1: MULTI-TASK LEARNING VIA SA-FPN AND EJ-HEAD
         Feng Ni; Peking University
         Zhipeng Luo; DeepBlue Technology (Shanghai) Co.,Ltd
         Xixin Cao; Peking University
         Zhenyu Xu; DeepBlue Technology (Shanghai) Co.,Ltd
         Yuehan Yao; DeepBlue Technology (Shanghai) Co.,Ltd
 
 MLSP-P14.2: DIFFERENTIABLE BRANCHING IN DEEP NETWORKS FOR FAST INFERENCE
         Simone Scardapane; Sapienza University of Rome
         Danilo Comminiello; Sapienza University of Rome
         Michele Scarpiniti; Sapienza University of Rome
         Enzo Baccarelli; Sapienza University of Rome
         Aurelio Uncini; Sapienza University of Rome
 
 MLSP-P14.3: MULTI-STEP ONLINE UNSUPERVISED DOMAIN ADAPTATION
         J. H. Moon; Purdue University
         Debasmit Das; Purdue University
         C. S. George Lee; Purdue University
 
 MLSP-P14.4: SELF-ADAPTIVE FEATURE FOOL
         Xinyi Liu; Tsinghua University
         Yang Bai; Tsinghua University
         Shu-Tao Xia; Tsinghua University
         Yong Jiang; Tsinghua University
 
 MLSP-P14.5: MULTI-MOTIFGAN (MMGAN): MOTIF-TARGETED GRAPH GENERATION AND PREDICTION
         Anuththari Gamage; University of Illinois at Urbana–Champaign
         Eli Chien; University of Illinois at Urbana–Champaign
         Jianhao Peng; University of Illinois at Urbana–Champaign
         Olgica Milenkovic; University of Illinois at Urbana–Champaign
 
 MLSP-P14.6: FEDERATED CLASSIFICATION WITH LOW COMPLEXITY REPRODUCING KERNEL HILBERT SPACE REPRESENTATIONS
         Maria Peifer; University of Pennsylvania
         Alejandro Ribeiro; University of Pennsylvania
 
 MLSP-P14.7: MAXPOLYNOMIAL DIVISION WITH APPLICATION TO NEURAL NETWORK SIMPLIFICATION
         Georgios Smyrnis; National Technical University of Athens
         Petros Maragos; National Technical University of Athens
         George Retsinas; National Technical University of Athens
 
 MLSP-P14.8: BALANCED BINARY NEURAL NETWORKS WITH GATED RESIDUAL
         Mingzhu Shen; Beihang University
         Xianglong Liu; Beihang University
         Ruihao Gong; Beihang University
         Kai Han; University of Chinese Academy of Sciences
 
 MLSP-P14.9: A GEOMETRIC APPROACH FOR UNSUPERVISED SIMILARITY LEARNING
         Ujjal K. R. Dutta; Indian Institute of Technology Madras
         Chandra Sekhar C; Indian Institute of Technology Madras
 
 MLSP-P14.10: GRADIENT DELAY ANALYSIS IN ASYNCHRONOUS DISTRIBUTED OPTIMIZATION
         Haider Al-Lawati; University of Toronto
         Stark Draper; University of Toronto
 
 MLSP-P14.11: SEQUENTIAL IOT DATA AUGMENTATION USING GENERATIVE ADVERSARIAL NETWORKS
         Maximilian Ernst Tschuchnig; Salzburg University of Applied Sciences
         Cornelia Ferner; Salzburg University of Applied Sciences
         Stefan Wegenkittl; Salzburg University of Applied Sciences
 
 MLSP-P14.12: ROBUST RANK CONSTRAINED SPARSE LEARNING: A GRAPH-BASED METHOD FOR CLUSTERING
         Ran Liu; Northwestern Polytechnical University
         Mulin Chen; Northwestern Polytechnical University
         Qi Wang; Northwestern Polytechnical University
         Xuelong Li; Northwestern Polytechnical University