2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

MLSP-14: Learning Algorithms 1

Session Type: Poster
Time: Wednesday, 9 June, 13:00 - 13:45
Location: Gather.Town
Session Chair: Robert Jenssen, UiT The Arctic University of Norway
 
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
 
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
 
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
 
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
 
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
 
MLSP-14.6: LEARNING A TREE OF NEURAL NETS
         Arman Zharmagambetov; University of California, Merced
         Miguel Á. Carreira-Perpiñán; University of California, Merced