MLSP-14: Learning Algorithms 1 |
Session Type: Poster |
Time: Wednesday, 9 June, 13:00 - 13:45 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
Session Chair: Robert Jenssen, UiT The Arctic University of Norway
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MLSP-14.1: HEBBNET: A SIMPLIFIED HEBBIAN LEARNING FRAMEWORK TO DO BIOLOGICALLY PLAUSIBLE LEARNING |
Manas Gupta; Institute for Infocomm Research, A*STAR |
Arulmurugan Ambikapathi; Institute for Infocomm Research, A*STAR |
Savitha Ramasamy; Institute for Infocomm Research, A*STAR |
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MLSP-14.2: T-K-MEANS: A ROBUST AND STABLE K-MEANS VARIANT |
Yiming Li; Tsinghua University |
Yang Zhang; Tsinghua University |
Qingtao Tang; Tsinghua University |
Weipeng Huang; University College Dublin |
Yong Jiang; Tsinghua University |
Shu-Tao Xia; Tsinghua University |
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MLSP-14.3: ADAPTIVE FEATURE WEIGHT LEARNING FOR ROBUST CLUSTERING PROBLEM WITH SPARSE CONSTRAINT |
Feiping Nie; Northwestern Polytechnical University |
Wei Chang; Northwestern Polytechnical University |
Xuelong Li; Northwestern Polytechnical University |
Jin Xu; Tencent Inc |
Gongfu Li; Tencent Inc |
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MLSP-14.4: ASSISTED LEARNING: COOPERATIVE AI WITH AUTONOMY |
Jiaying Zhou; University of Minnesota |
Xun Xian; University of Minnesota |
Na Li; Harvard University |
Jie Ding; University of Minnesota |
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MLSP-14.5: GEOM-SPIDER-EM: FASTER VARIANCE REDUCED STOCHASTIC EXPECTATION MAXIMIZATION FOR NONCONVEX FINITE-SUM OPTIMIZATION |
Gersende Fort; Institut de Mathématiques de Toulouse, CNRS |
Eric Moulines; CMAP, Ecole Polytechnique |
Hoi-To Wai; The Chinese University of Hong-Kong |
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MLSP-14.6: LEARNING A TREE OF NEURAL NETS |
Arman Zharmagambetov; University of California, Merced |
Miguel Á. Carreira-Perpiñán; University of California, Merced |
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