Session 4: Unsupervised, Semi-supervised Learning, Reinforcement Learning

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Information

Day 3 (Nov.19), talks: 10:50-11:30 (5th floor Hall 2), poster session: 11:30-14:00

• Each oral presentation consists of a 12-minute talk and a 2-minute discussion.
• Each spotlight presentation consists of a 2.5-minute talk.
• Each best paper presentation consists of a 15-minute talk and a 5-minute discussion.
• Each presentation (all of the above) are to be presented in the poster session on the same day. The size of a poster should be at largest A0 vertical (1189mm height × 841mm width) (A0 horizontal posters cannot be put up).

Program

• 10:50 Spotlight Poster Tue13 Self-Weighted Multi-View Clustering with Deep Matrix Factorization
  • Beilei Cui (Dalian University of Technology); Hong Yu (Dalian University of Technology); Tiantian Zhang (Dalian University of Technology); Siwen Li (Dalian University of Technology) [Conference Track, Paper ID: 263] <Download paper>
• 10:53 Spotlight Poster Tue14 Latent Multi-view Semi-Supervised Classification
  • Xiaofan Bo (University of Electronic Science and Technology); Zhao Kang (University of Electronic Science and Technology of China); Zhitong Zhao (University of Electronic Science and Technology); yuanzhang su (University of Electronic Science and Technology); Wenyu Chen (University of Electronic Science and Technology of China) [Conference Track, Paper ID: 202] <Download paper>
• 10:56 Spotlight Poster Tue15 Self-Supervised Deep Multi-View Subspace Clustering
  • Xiukun Sun (Beijing Jiaotong University); Miaomiao Cheng (Beijing Jiaotong University); Chen Min (Beijing Jiaotong University); Liping Jing (Beijing Jiaotong University) [Conference Track, Paper ID: 374] <Download paper>
• 10:59 Spotlight Poster Tue16 Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension
  • Marina Gomtsyan (Skolkovo Institute of Science and Technology); Nikita Mokrov (Skolkovo Institute of Science and Technology); Maxim Panov (Skolkovo Institute of Science and Technology); Yury Yanovich (Skolkovo Institute of Science and Technology) [Conference Track, Paper ID: 399] <Download paper>
• 11:02 Spotlight Poster Tue17 Exemplar Based Mixture Models with Censored Data
  • Masahiro Kohjima (NTT Corporation); Tatsushi Matsubayashi (NTT Corporation); Hiroyuki Toda (NTT) [Conference Track, Paper ID: 257] <Download paper>
• 11:05 Spotlight Poster Tue18 Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates
  • Vidyadhar Upadhya (Indian Institute of Science, Bangalore); P. S.Sastry (Indian Institute of Science) [Conference Track, Paper ID: 325] <Download paper>
• 11:08 Spotlight Poster Tue19 Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening
  • Merlin Schueler (RUB); Hlynur Davíð Hlynsson (RUB); Laurenz Wiskott (RUB) [Conference Track, Paper ID: 139] <Download paper>
• 11:11 Spotlight Poster Tue20 Random Projection in Neural Episodic Control
  • Daichi Nishio (Kanazawa University); Satoshi Yamane (Kanazawa University) [Conference Track, Paper ID: 20] <Download paper>
• 11:14 Spotlight Poster Tue21 Active Change-Point Detection
  • Shogo Hayashi (Kyoto University); Yoshinobu Kawahara (Kyushu University / RIKEN); Hisashi Kashima (Kyoto University/RIKEN Center for AIP) [Conference Track, Paper ID: 382] <Download paper>
• 11:17 Spotlight Poster Tue22 Trust Region Sequential Variational Inference
  • Geon-Hyeong Kim (KAIST); Youngsoo Jang (KAIST); Jongmin Lee (KAIST); Wonseok Jeon (MILA, McGill University); Hongseok Yang (KAIST); Kee-Eung Kim (KAIST) [Conference Track, Paper ID: 385] <Download paper>
• 11:20 Spotlight Poster Tue23 Functional Isolation Forest
  • Guillaume Staerman (Télécom Paris); Pavlo Mozharovskyi (Télécom Paristech); Stéphan Clémençon (Télécom ParisTech); Florence d’Alche-Buc (Télécom ParisTech) [Conference Track, Paper ID: 191] <Download paper>