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My ICASSP 2020 Schedule

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WE1.I: Pattern Recognition and Machine Learning

Session Type: Poster
Time: Wednesday, 6 May, 09:00 - 11:00
Location: On-Demand
Session Chair: Karim Seghouane, University of Melbourne
 
   WE1.I.1: IMPROVING CONVERGENT CROSS MAPPING FOR CAUSAL DISCOVERY WITH GAUSSIAN PROCESSES
         Guanchao Feng; Stony Brook University
         Kezi Yu; IQVIA
         Yunlong Wang; IQVIA
         Yilian Yuan; IQVIA
         Petar Djuric; Stony Brook University
 
   WE1.I.2: LABEL REUSE FOR EFFICIENT SEMI-SUPERVISED LEARNING
         Tsung-Hung Hsieh; Academia Sinica
         Jun-Cheng Chen; Academia Sinica
         Chu-Song Chen; Academia Sinica
 
   WE1.I.3: DECENTRALIZED OPTIMIZATION WITH NON-IDENTICAL SAMPLING IN PRESENCE OF STRAGGLERS
         Tharindu Adikari; University of Toronto
         Stark Draper; University of Toronto
 
   WE1.I.4: CONTENT VS CONTEXT: HOW ABOUT “WALKING HAND-IN-HAND" FOR IMAGE CLUSTERING?
         Shizhe Hu; Zhengzhou University
         Zhenquan Hou; Zhengzhou University
         Zhengzheng Lou; Zhengzhou University
         Yangdong Ye; Zhengzhou University
 
   WE1.I.5: FIXED SMOOTH CONVOLUTIONAL LAYER FOR AVOIDING CHECKERBOARD ARTIFACTS IN CNNS
         Yuma Kinoshita; Tokyo Metropolitan University
         Hitoshi Kiya; Tokyo Metropolitan University
 
   WE1.I.6: THIS DATASET DOES NOT EXIST: TRAINING MODELS FROM GENERATED IMAGES
         Victor Besnier; Sorbonne University
         Himalaya Jain; Valeo AI
         Andrei Bursuc; Valeo AI
         Matthieu Cord; Valeo AI, Sorbonne University
         Patrick Pérez; Valeo AI
 
   WE1.I.7: LET-SNE: A HYBRID APPROACH TO DATA EMBEDDING AND VISUALIZATION OF HYPERSPECTRAL IMAGERY
         Megh Shukla; Mercedes-Benz Research and Development India Pvt. Ltd.
         Biplab Banerjee; Indian Institute of Technology Bombay
         Krishna Mohan Buddhiraju; Indian Institute of Technology Bombay
 
   WE1.I.8: ADVERSARIAL MIXUP SYNTHESIS TRAINING FOR UNSUPERVISED DOMAIN ADAPTATION
         Yuhua Tang; National University of Defense Technology
         Zhipeng Lin; National University of Defense Technology
         Haotian Wang; National University of Defense Technology
         Liyang Xu; National University of Defense Technology
 
   WE1.I.9: RATE-INVARIANT AUTOENCODING OF TIME-SERIES
         Kaushik Koneripalli; Arizona State University
         Suhas Lohit; Arizona State University
         Rushil Anirudh; Lawrence Livermore National Laboratory
         Pavan Turaga; Arizona State University
 
   WE1.I.10: SELF-PACED PROBABILISTIC PRINCIPAL COMPONENT ANALYSIS FOR DATA WITH OUTLIERS
         Bowen Zhao; Tsinghua University
         Xi Xiao; Tsinghua University
         Wanpeng Zhang; Tsinghua University
         Bin Zhang; Peng Cheng Laboratory
         Guojun Gan; University of Connecticut
         Shu-Tao Xia; Tsinghua University
 
   WE1.I.11: CORRDROP: CORRELATION BASED DROPOUT FOR CONVOLUTIONAL NEURAL NETWORKS
         Yuyuan Zeng; Tsinghua University
         Tao Dai; Tsinghua University
         Shu-Tao Xia; Tsinghua University
 
   WE1.I.12: WITCHCRAFT: EFFICIENT PGD ATTACKS WITH RANDOM STEP SIZE
         Ping-Yeh Chiang; University of Maryland
         Jonas Geiping; University of Siegen
         Micah Goldblum; University of Maryland
         Tom Goldstein; University of Maryland
         Renkun Ni; University of Maryland
         Steven Reich; University of Maryland
         Ali Shafahi; University of Maryland