Technical Program

MLSP-L2: Learning Theory

Session Type: Lecture
Time: Wednesday, March 23, 13:30 - 15:30
Location: Room 3C+3D
Session Chair: Li Deng, Microsoft
 
MLSP-L2.1: DEEP UNFOLDING INFERENCE FOR SUPERVISED TOPIC MODEL
         Chao-Hsi Lee; National Chiao Tung University
         Jen-Tzung Chien; National Chiao Tung University
 
MLSP-L2.2: SIMPLIFYING LONG SHORT-TERM MEMORY ACOUSTIC MODELS FOR FAST TRAINING AND DECODING
         Yajie Miao; Carnegie Mellon University
         Jinyu Li; Microsoft Corporation
         Yongqiang Wang; Microsoft Corporation
         Shi-Xiong Zhang; Microsoft Corporation
         Yifan Gong; Microsoft Corporation
 
MLSP-L2.3: ONLINE LEARNING AND OPTIMIZATION OF MARKOV JUMP LINEAR MODELS
         Sevi Baltaoglu; Cornell University
         Lang Tong; Cornell University
         Qing Zhao; Cornell University
 
MLSP-L2.4: CONSENSUS INFERENCE ON MOBILE PHONE SENSORS FOR ACTIVITY RECOGNITION
         Huan Song; Arizona State University
         Jayaraman J. Thiagarajan; Lawrence Livermore National Laboratory
         Karthikeyan Natesan Ramamurthy; IBM Thomas J. Watson Research Center
         Andreas Spanias; Arizona State University
         Pavan Turaga; Arizona State University
 
MLSP-L2.5: OBJECT RECOGNITION IN ART DRAWINGS: TRANSFER OF A NEURAL NETWORK
         Rujie Yin; Duke University
         Eric Monson; Duke University
         Elizabeth Honig; University of California, Berkeley
         Ingrid Daubechies; Duke University
         Mauro Maggioni; Duke University
 
MLSP-L2.6: DEEP COMPLEMENTARY BOTTLENECK FEATURES FOR VISUAL SPEECH RECOGNITION
         Stavros Petridis; Imperial College London
         Maja Pantic; Imperial College London
 

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