MLSP-P6: Pattern Recognition and Machine Learning |
Session Type: Poster |
Time: Wednesday, 6 May, 09:00 - 11:00 |
Location: On-Demand |
Virtual Session: View on Virtual Platform |
Session Chair: Karim Seghouane, University of Melbourne |
MLSP-P6.1: 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 |
MLSP-P6.2: LABEL REUSE FOR EFFICIENT SEMI-SUPERVISED LEARNING |
Tsung-Hung Hsieh; Academia Sinica |
Jun-Cheng Chen; Academia Sinica |
Chu-Song Chen; Academia Sinica |
MLSP-P6.3: DECENTRALIZED OPTIMIZATION WITH NON-IDENTICAL SAMPLING IN PRESENCE OF STRAGGLERS |
Tharindu Adikari; University of Toronto |
Stark Draper; University of Toronto |
MLSP-P6.4: 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 |
MLSP-P6.5: FIXED SMOOTH CONVOLUTIONAL LAYER FOR AVOIDING CHECKERBOARD ARTIFACTS IN CNNS |
Yuma Kinoshita; Tokyo Metropolitan University |
Hitoshi Kiya; Tokyo Metropolitan University |
MLSP-P6.6: 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 |
MLSP-P6.7: 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 |
MLSP-P6.8: 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 |
MLSP-P6.9: 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 |
MLSP-P6.10: 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 |
MLSP-P6.11: CORRDROP: CORRELATION BASED DROPOUT FOR CONVOLUTIONAL NEURAL NETWORKS |
Yuyuan Zeng; Tsinghua University |
Tao Dai; Tsinghua University |
Shu-Tao Xia; Tsinghua University |
MLSP-P6.12: 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 |