Paper Sessions

See the program for the schedule.

  • Each oral presentation consists of a 12-minute talk and a 2-minute discussion.
  • Each spotlight presentation consists of 2.5-minute talk.
  • Both oral and spotlight presentations are also presented in the poster session.

Session 1: Deep Learning

Day 2 (Nov.18), talks: 09:00-11:00, poster session: 11:00-13:30

  • Oral] [Poster #1] Gradient Descent Optimizes Over-parameterized Deep ReLU Networks
    • DifanZou (University of California, Los Angeles); Yuan Cao (UCLA); Dongruo Zhou (UCLA); Quanquan Gu (University of California, Los Angeles) [Journal Track, Paper ID: 148]
  • Oral] [Poster #7] Efficient Diversified Mini-Batch Selection using Variable High-layer Features
    • Wanming Huang (UTS); Richard Yi Da Xu (University of Technology, Sydney); Ian Oppermann (The Treasury) [Conference Track, Paper ID: 132]
  • Spotlight] [Poster #2] ResNet and Batch-normalization Improve Data Separability
    • Yasutaka Furusho (Nara Institute of Science and Technology); Kazushi Ikeda (Nara Institute of Science and Technology) [Conference Track, Paper ID: 71]
  • Spotlight] [Poster #3] Focused Anchors Loss:cost-sensitive learning ofdiscriminative features for imbalanced classification
    • Bahram Baloch (NUCES); Sateesh Kumar (NUCES); Sanjay Haresh (NUCES); Tahir Syed (National University of Computer and Emerging Sciences) [Conference Track, Paper ID: 324]
  • Spotlight] [Poster #4] Adaptive truncated residual regression for fine-grained regression problems
    • Hirotaka Hachiya (Center for Advanced Intelligence Project, RIKEN); Yamamoto Yu (Center for Advanced Intelligence Project, RIKEN); Kazuro HIrahara (Center for Advance Intelligence Project, RIKEN); Naonori Ueda (NTT) [Conference Track, Paper ID: 336]
  • Spotlight] [Poster #5] G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based Detectors
    • Xing Wu (SunYat-sen university); Lifeng Huang (SunYat-sen university); Chengying Gao (SunYat-sen university) [Conference Track, Paper ID: 419]
  • Spotlight] [Poster #6] Towards Governing Agent’s Efficacy:Action-Conditional β-VAE for Deep Transparent Reinforcement Learning
    • John Yang (Seoul National University); Gyuejeong Lee (Seoul National University); Simyung Chang (Seoul National University); Nojun Kwak (Seoul National University) [Conference Track, Paper ID: 53]
  • Spotlight] [Poster #8] Convolutional Neural Collaborative Filtering with Stacked Embeddings
    • Liu Han (Huazhong University of Science and Technology); Hailong Wu (Huazhong University of Science and Technology); Nan Hu (Huazhong University of Science and Technology); Binbin Qu (Huazhong University of Science and Technology) [Conference Track, Paper ID: 288]
  • Spotlight] [Poster #9] Investigating the effect of novel classes in semi-supervised learning
    • Yuxuan(Alex) Peng (University of Auckland); Yun Sing Koh (The University of Auckland, New Zealand); Patricia Riddle (University of Auckland, New Zealand); Bernhard Pfahringer (University of Waikato) [Conference Track, Paper ID: 271]
  • Spotlight] [Poster #10] From Implicit to Explicit Feedbacks: A deep neural network for modeling the sequential behaviors of online users
    • Anh Phan Tuan (Hanoi University of Science and Technology); Nhat Nguyen Trong (VCCorp Corporation); Duong Bui Trong (VCcorp Corporation); Linh Ngo Van (Hanoi University of Science and Technology); Khoat Than (Hanoi University of Science and Technology) [Conference Track, Paper ID: 416]
  • Spotlight] [Poster #11] Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders
    • Yunxiao Wang (Nanjing University of Posts and Telecommunications); Zheng Liu (Nanjing University of Posts and Telecommunications); Di Hu (Nanjing University of Posts and Telecommunications); Mian Zhang (Nanjing University of Posts and Telecommunications) [Conference Track, Paper ID: 106]
  • Oral] [Poster #13] Regularizing Neural Networks via Stochastic Branch Layers
    • Wonpyo Park (POSTECH); Paul Hongsuck Seo (POSTECH); Bohyung Han (Seoul National University); Minsu Cho (POSTECH) [Conference Track, Paper ID: 277]
  • Oral] [Poster #19] Variational Conditional GAN for Fine-grained Controllable Image Generation
    • Mingqi Hu (Southeast University); Deyu Zhou (Southeast University); Yulan He (University of Warwick) [Conference Track, Paper ID: 75]
  • Spotlight] [Poster #12] An Anchor-Free Oriented Text Detector with Connectionist Text Proposal Network
    • Chenhui Huang (East China Normal University); Jinhua Xu (East China Normal University) [Conference Track, Paper ID: 273]
  • Spotlight] [Poster #14] Nuclei segmentation by using convolutional network withdistance map and contour information
    • Xiaoming Liu (Wuhan University of Science and Technology); Zhengsheng Guo (Wuhan University of Science and Technology); Bo Li (Wuhan University of Science and Technology); Jun Cao (Wuhan University of Science and Technology) [Conference Track, Paper ID: 359]
  • Spotlight] [Poster #15] Multi-branch Siamese Network for High Performance Online Visual Tracking
    • Junfei Zhuang (Beijing University of Posts and Telecommunications & Beijing FaceAll Co); Yuan Dong ( Beijing University of Posts and Telecommunications); Hongliang Bai (Beijing Faceall Technology Co.,Ltd); wang gang (srcb) [Conference Track, Paper ID: 252]
  • Spotlight] [Poster #16] Forward-Backward Generative Adversarial Networks for Anomaly Detection
    • Youngnam Kim (Pohang University of Science and Technology); Seungjin Choi (BARO) [Conference Track, Paper ID: 403]
  • Spotlight] [Poster #17] Unpaired Data based Cross-domain Synthesis and Segmentation Using Attention Neural Network
    • Xiaoming Liu (Wuhan University of Science and Technology); Xiangkai Wei (Wuhan University of Science and Technology); Aihui Yu (Wuhan University of Science and Technology); Zhifang Pan (Wenzhou Medical University) [Conference Track, Paper ID: 364]
  • Spotlight] [Poster #18] Surface Reconstruction based on Self-Merging Octree with Deep Learning
    • Jian Lv (North University of China); Xie Han (North University of China); Jiajie Zheng (North University of China); Fengguang Xiong (North University of China); Min Pang (North University of China) [Conference Track, Paper ID: 342]
  • Spotlight] [Poster #20] Realistic Image Generation using Region-phrase Attention
    • Wanming Huang (UTS); Richard Yi Da Xu (University of Technology, Sydney); Ian Oppermann (The Treasury) [Conference Track, Paper ID: 128]
  • Spotlight] [Poster #21] An Encoding Adversarial Network for Anomaly Detection
    • Elies gherbi (irt-SystemX / Evry University); Blaize Hanczar (University of Evry); Jean-Christophe Janodet (University of Evry); Witold Klaudel (Renault) [Conference Track, Paper ID: 115]

Session 2: Multi-task Learning, NLP, Computer Vision, Applications

Day 2 (Nov.18), talks: 09:00-11:00, poster session: 11:00-13:30

  • Oral] [Poster #25] Communication-Efficient Distributed Multi-Task Learning with Matrix Sparsity Regularization
    • Qiang Zhou (NTU, Singapore); Yu Chen (Nanyang Technological University); Sinno Pan (NTU, Singapore) [Journal Track, Paper ID: 162]
  • Oral] [Poster #31] Few-Shot Learning with Adaptively Initialized Task Optimizer
    • Han-Jia Ye (Nanjing University); Xiang-Rong Sheng (National Key Laboratory of Novel Software Technology, Nanjing University); De-Chuan Zhan (Nanjing University) [Journal Track, Paper ID: 187]
  • Spotlight] [Poster #22] KG-to-Text Generation with Slot-Aware Attention and Position Self-Attention
    • Yashen Wang (China Academy of Electronics and Information Technology of CETC) [Conference Track, Paper ID: 117]
  • Spotlight] [Poster #23] A Model of Text-Enhanced Knowledge Graph Representation Learning with Mutual Attention
    • Yashen Wang (China Academy of Electronics and Information Technology of CETC) [Conference Track, Paper ID: 120]
  • Spotlight] [Poster #24] A New Multi-choice Reading Comprehension Dataset for Curriculum Learning
    • Yichan Liang (Sun Yat-sen University, China); Jianheng Li (Sun Yat-sen University, China); Jian Yin (Sun Yat-Sen University) [Conference Track, Paper ID: 295]
  • Spotlight] [Poster #26] An Attentive Memory Network Integrated with Aspect Dependency for Document-Level Multi-Aspect Sentiment Classification
    • Qingxuan Zhang (Beijing Institute of Technology); Chongyang Shi (Beijing Institute of Technology) [Conference Track, Paper ID: 223]
  • Spotlight] [Poster #27] Improving Statute Prediction via Mining Correlations between Statutes
    • Yi Feng (Nanjing University); Chuanyi Li (Nanjing University); Jidong Ge (Nanjing University); Bin Luo (Nanjing University) [Conference Track, Paper ID: 284]
  • Spotlight] [Poster #28] Cell-aware Stacked LSTMs for Modeling Sentences
    • Jihun Choi (Seoul National University); Taeuk Kim (Seoul National University); Sang-goo Lee (Seoul National University) [Conference Track, Paper ID: 415]
  • Spotlight] [Poster #29] Text Length Adaptation in Sentiment Classification
    • Reinald Kim Amplayo (University of Edinburgh); Seonjae Lim (Yonsei University); Seungwon Hwang (Yonsei University, Korea) [Conference Track, Paper ID: 275]
  • Spotlight] [Poster #30] Forward and Backward Knowledge Transfer for Sentiment Classification
    • Hao Wang (Southwest Jiaotong University); Bing Liu (UIC); Shuai Wang (University of Illinois at Chicago, USA); Nianzu Ma (UIC); Yan Yang (Southwest Jiaotong University) [Conference Track, Paper ID: 231]
  • Spotlight] [Poster #32] Effective Sentence Scoring Method Using BERT for Speech Recognition
    • Joongbo Shin (Seoul National University); Yoonhyung Lee (Seoul National University); Kyomin Jung (Seoul National University) [Conference Track, Paper ID: 392]
  • Oral] [Poster #37] Differentially Private Community Detection in Attributed Social Networks
    • Tianxi Ji (Case Western Reserve University); Changqing Luo (Virginia Commonwealth University); Yifan Guo (Case Western Reserve University); Jinlong Ji (Case Western Reserve University); Weixian Liao (Towson University); Pan Li (Case Western Reserve University) [Conference Track, Paper ID: 30]
  • Oral] [Poster #43] Fusing Recalibrated Features and Depthwise Separable Convolution for the Mangrove Bird Sound Classification
    • Chongqin Lei (CHONGQING UNIVERSITY); Gong Weiguo (Chongqing University); Zixu Wang (CHONGQING UNIVERSITY) [Conference Track, Paper ID: 347]
  • Spotlight] [Poster #33] SPCDet: Enhancing Object Detection with Combined Feature Fusing
    • haixin wang (Beijing Institute of Technology); lintao wu (Intel Labs China); qiongzhi wu (Beijing Institute of Technology) [Conference Track, Paper ID: 122]
  • Spotlight] [Poster #34] AnArticulated Structure-Aware Network for 3D Human Pose Estimation
    • Zhenhua Tang (College of Computer Science and Software Engineering, Shenzhen University); Xiaoyan Zhang (College of Computer Science and Software Engineering, Shenzhen University); Junhui Hou (City University of Hong Kong, Hong Kong) [Conference Track, Paper ID: 59]
  • Spotlight] [Poster #35] Multi-Scale Visual Semantics Aggregation with Self-Attention for End-to-End Image-Text Matching
    • Zhuobin Zheng ( Tsinghua University); Youcheng Ben (Tsinghua University); Chun Yuan (Tsinghua University) [Conference Track, Paper ID: 348]
  • Spotlight] [Poster #36] Cascaded and Dual: Discrimination Oriented Network for Brain Tumor Classification
    • Wenxuan Zhang (Nanjing University of Science and Technology); Dong Zhang (Nanjing University of Science and Technology); Xinguang Xiang (NJUST) [Conference Track, Paper ID: 206]
  • Spotlight] [Poster #38] Software Component Prediction for Bug Reports
    • Wei Zhang (Adobe); Chris Challis (adobe) [Conference Track, Paper ID: 317]
  • Spotlight] [Poster #39] SDC-causing Error Detection based on Lightweight Vulnerability Prediction
    • Cheng Liu (Nanjing University of Aeronautics and Astronautics); Jingjing Gu (Nanjing University of Aeronautics and Astronautics); Zujia Yan (Nanjing University of Aeronautics and Astronautics); Fuzhen Zhuang (Institute of Computing Technology, Chinese Academy of Sciences); Yunyun Wang (Nanjing University of Posts and Telecommunications) [Conference Track, Paper ID: 386]
  • Spotlight] [Poster #40] Improving Relation Classification by Entity Pair Graph
    • Yi Zhao (Beijing Jiaotong University); Huaiyu Wan (Beijing Jiaotong University); Jianwei Gao (Beijing Jiaotong University); Youfang Lin (Beijing Jiaotong University) [Conference Track, Paper ID: 406]
  • Spotlight] [Poster #41] Multi-modal Representation Learning for Successive POI Recommendation
    • Lishan Li (Tsinghua University); Ying Liu (Tsinghua University); Jianping Wu (Tsinghua University); Lin He (Tsinghua University); Gang Ren (Tsinghua University) [Conference Track, Paper ID: 224]
  • Spotlight] [Poster #42] Learning to Sample Hard Instances for Graph Algorithms
    • Ryoma Sato (Kyoto University); Makoto Yamada (RIKEN AIP / Kyoto University); Hisashi Kashima (Kyoto University/RIKEN Center for AIP) [Conference Track, Paper ID: 244]

Session 3: Supervised and General Machine Learning

Day 3 (Nov.19), talks: 10:50-11:30, poster session: 11:30-14:00

  • Spotlight] [Poster #2] Learning Weighted Top-k Support Vector Machine
    • Tsuyoshi Kato (Gunma University); Yoshihiro Hirohashi (DENSO CORPORATION) [Conference Track, Paper ID: 304]
  • Spotlight] [Poster #4] Multiple Empirical Kernel Learning with Discriminant Locality Preservation
    • Bolu Wang (East China University of Science and Technology); Dongdong Li (East China University of Science and Technology); Zhe Wang ( East China University of Science and Technology ) [Conference Track, Paper ID: 67]
  • Spotlight] [Poster #6] Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter
    • Puja Sahu (Indian Institute of Technology Bombay); Nandyala Hemachandra (Indian Institute of Technology Bombay) [Conference Track, Paper ID: 125]
  • Spotlight] [Poster #8] Zero-shot Domain Adaptation Based on Attribute Information
    • Masato Ishii (The University of Tokyo/RIKEN/NEC); Takashi Takenouchi (Future University Hakodate/RIKEN Center for Advanced Intelligence Project); Masashi Sugiyama (RIKEN/The University of Tokyo) [Conference Track, Paper ID: 237]
  • Spotlight] [Poster #10] Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators
    • Naoya Takeishi (RIKEN) [Conference Track, Paper ID: 352]
  • Spotlight] [Poster #12] Stochastic Gradient Trees
    • Henry Gouk (University of Edinburgh); Bernhard Pfahringer (University of Waikato); Eibe Frank (University of Waikato) [Conference Track, Paper ID: 395]
  • Spotlight] [Poster #14] Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation
    • Kenta Konagayoshi (Kyushu University); Kazuho Watanabe (Toyohashi University of Technology) [Conference Track, Paper ID: 81]
  • Spotlight] [Poster #16] Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA
    • Vitalik Melnikov (Paderborn University); Eyke Hüllermeier (University of Paderborn) [Conference Track, Paper ID: 397]
  • Spotlight] [Poster #18] Learning to Augment with Feature Side-information
    • Amina Mollaysa (university of geneva); Alexandros Kalousis (AU Geneva); Eric Bruno (Expedia); Maurits Diephuis (University of Geneva) [Conference Track, Paper ID: 111]
  • Spotlight] [Poster #20] Self-Paced Multi-Label Learning with Diversity
    • Seyed Amjad Seyedi (University of Kurdistan); S.Siamak Ghodsi (University of Kurdistan); Fardin Akhlaghian Tab (University of Kurdistan); Mahdi Jalili (RMIT University); Parham Moradi (University of Kurdistan) [Conference Track, Paper ID: 316]
  • Spotlight] [Poster #22] FEARS: a FEature And Representation Selection approach for time series classification
    • Alexis Bondu (Orange); Dominique Gay (Université de La Réunion); Vincent Lemaire (Orange); Marc Boulle (Orange Labs); Eole Cervenka (Orange) [Conference Track, Paper ID: 213]
  • Spotlight] [Poster #23] Prediction of Crowd Flow in City Complex with Missing Data
    • Shiyang Qiu (University of Science and Technology of China); Peng Xu (University of Science and Technology of China); Wei Zheng (Kehang Technology and Information); Wang Junjie (University of Science and Technology of China); Guo Yu (China People's Police University); Mingyao Hou (Kehang Technology and Information); Hengchang Liu (USTC) [Conference Track, Paper ID: 298]

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

Day 3 (Nov.19), talks: 10:50-11:30, poster session: 11:30-14:00

  • Spotlight] [Poster #25] 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]
  • Spotlight] [Poster #27] 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]
  • Spotlight] [Poster #29] 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]
  • Spotlight] [Poster #31] 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]
  • Spotlight] [Poster #33] Exemplar Based Mixture Models with Censored Data
    • Masahiro Kohjima (NTT Corporation); Tatsushi Matsubayashi (NTT Corporation); Hiroyuki Toda (NTT) [Conference Track, Paper ID: 257]
  • Spotlight] [Poster #35] 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]
  • Spotlight] [Poster #37] 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]
  • Spotlight] [Poster #39] Random Projection in Neural Episodic Control
    • Daichi Nishio (Kanazawa University); Satoshi Yamane (Kanazawa University) [Conference Track, Paper ID: 20]
  • Spotlight] [Poster #41] 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]
  • Spotlight] [Poster #43] 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]
  • Spotlight] [Poster #44] 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]

Session 5: Computer Vision

Day 3 (Nov.19), poster session: 11:30-14:00, talks: 14:10-15:25

  • Oral] [Poster #1] Multi-width Activation and Multiple Receptive Field Networks for Dynamic Scene Deblurring
    • Cui Jinkai (Chongqing University); Li Weihong (Chongqing University); Wei Guo (Chongqing university); Gong Weiguo (Chongqing University) [Conference Track, Paper ID: 331]
  • Oral] [Poster #3] LADet:A Light-weight and Adaptive Network for Multi-scale Object Detection
    • Jiaming Zhou (Beihang University); Yuqiao Tian (Beihang University); Weicheng Li (Beihang University); Rui Wang (Beihang University); Zhongzhi Luan (Beihang University); Depei Qian (Beihang University) [Conference Track, Paper ID: 344]
  • Oral] [Poster #5] Separate Loss for Basic and Compound Facial Expression Recognition in the Wild
    • Yingjian Li (Harbin Institute of Technology (Shenzhen), Shenzhen); Yao Lu ( Harbin Institute of Technology (Shenzhen), Shenzhen); Jinxing Li (The Chinese University of Hong Kong (Shenzhen)); Guangming Lu ( Harbin Institute of Technology (Shenzhen), Shenzhen) [Conference Track, Paper ID: 343]
  • Oral] [Poster #7] SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA
    • Satoshi Hara (Osaka University); Weichih Chen (National Taiwan University); Takashi Washio (The Institute of Scienti c and Industrial Research, Osaka University); Tetsuichi Wazawa (Osaka University); Takeharu Nagai (Osaka University) [Conference Track, Paper ID: 283]
  • Oral] [Poster #9] Capsule Networks Need an Improved Routing Algorithm
    • Inyoung Paik (Deep Bio Inc.); Injung Kim (Handong Global University); Tae-Yeong Kwak (Deep Bio Inc.) [Conference Track, Paper ID: 240]

Session 6: Supervised Learning

Day 3 (Nov.19), poster session: 11:30-14:00, talks: 14:10-15:25

  • Oral] [Poster #11] Multi-Label Optimal Margin Distribution Machine
    • Zhi-Hao Tan (Nanjing University); Peng Tan (Nanjing University); Yuan Jiang (Nanjing University); Zhi-Hua Zhou (Nanjing university) [Journal Track, Paper ID: 175]
  • Oral] [Poster #13] Multi-Label Learning with Regularization Enriched Label-Specific Features
    • Ze-Sen Chen (Southeast University); Min-Ling Zhang (Southeast University) [Conference Track, Paper ID: 222]
  • Oral] [Poster #15] Handling Concept Drift via Model Reuse
    • Peng Zhao (Nanjing University); Le-Wen Cai (Nanjing University); Zhi-Hua Zhou (Nanjing university) [Journal Track, Paper ID: 161]
  • Oral] [Poster #17] Deep Learning with a Rethinking Structure for Multi-label Classification
    • Yao-Yuan Yang (National Taiwan University); Yi-An Lin (National Taiwan University ); Hong-Min Chu (National Taiwan University); Hsuan-Tien Lin (National Taiwan University) [Conference Track, Paper ID: 79]
  • Oral] [Poster #19] Variational Inference from Ranked Samples with Features
    • Yuan Guo (Northeastern University); Jennifer Dy (Northeastern); Deniz Erdogmus (Northeastern University); Jayashree Kalpathy-Cramer (MGH/Harvard Medical School); Susan Ostmo (Oregon Health & Science University); J. Peter Campbell (Oregon Health & Science University); Michael F. Chiang (Oregon Health & Science University); Stratis Ioannidis (Northeastern University) [Conference Track, Paper ID: 267]

Session 7: Reinforcement Learning

Day 3 (Nov.19), poster session: 11:30-14:00, talks: 15:55-17:10

  • Oral] [Poster #21] X-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks
    • Leonard Torossian (INRA-IMT); Aurélien Garivier (ENS Lyon); Victor Picheny (Prowler) [Conference Track, Paper ID: 124]
  • Oral] [Poster #24] A Continuous Actor-Critic Reinforcement Learning Approach to Flocking with Fixed-Wing UAVs
    • Chang Wang (NUDT); Chao Yan (NUDT); XiaojiaXiang (NUDT); HanZhou (NUDT) [Conference Track, Paper ID: 62]
  • Oral] [Poster #26] Real-time tree search with pessimistic scenarios: Winning the NeurIPS 2018 Pommerman Competition
    • Takayuki Osogami (IBM Research - Tokyo); Toshihiro Takahashi (IBM) [Conference Track, Paper ID: 265]
  • Oral] [Poster #28] Unified Policy Optimization for Robust Reinforcement Learning
    • Zichuan Lin (Tsinghua University); Li Zhao (Microsoft Research); Jiang Bian (Microsoft Research); Tao Qin (Microsoft Research Asia); Guangwen Yang (Tsinghua University) [Conference Track, Paper ID: 215]
  • Oral] [Poster #30] Skill-based Curiosity for Intrinsically Motivated Reinforcement Learning
    • Nicolas Bougie (National Institute of Informatics); Ryutaro Ichise (National Institute of informatics) [Journal Track, Paper ID: 150]

Session 8: Unsupervised and Semi-supervised Learning

Day 3 (Nov.19), poster session: 11:30-14:00, talks: 15:55-17:10

  • Oral] [Poster #32] Joint Consensus and Diversity for Multi-view Semi-supervised Classification
    • Wenzhang Zhuge (National Universify of Defense Technology); Chenping Hou (National University of Defense Technology); Shaoliang Peng (Hunan University); Dongyun Yi () [Journal Track, Paper ID: 28]
  • Oral] [Poster #34] Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric
    • Yongchan Kwon (Seoul National University); Wonyoung Kim (Seoul National University); Masashi Sugiyama (RIKEN/The University of Tokyo); Myunghee Cho Paik (Seoul National University) [Journal Track, Paper ID: 152]
  • Oral] [Poster #36] Canonical Soft Time Warping
    • Keisuke Kawano (Toyota Central R&D Labs., Inc); Satoshi Koide (Toyota Central R&D Labs., Inc.); Takuro Kutsuna (Toyota Central R&D Labs. Inc.) [Conference Track, Paper ID: 260]
  • Oral] [Poster #38] Rank minimization on tensor ring: An efficient approach for tensor decomposition and completion
    • Longhao Yuan (Saitama Institute of Technology/RIKEN AIP); Chao Li (RIKEN); jianting cao (Saitama Institute of Technology); Qibin Zhao (RIKEN AIP) [Journal Track, Paper ID: 164]
  • Oral] [Poster #40] Hyperbolic Ordinal Embedding
    • Atsushi Suzuki (The University of Tokyo); Jing Wang (The University of Tokyo); Feng Tian (Bournemouth University); Atsushi Nitanda (The University of Tokyo / RIKEN); Kenji Yamanishi (The University of Tokyo) [Conference Track, Paper ID: 391]

Best Papers Session

Day 2 (Nov.18), poster session: 11:00-13:30, talks: 15:50-16:10 & 17:20-17:40

  • Best paper] [Poster #42] A Generalization Bound for Online Variational Inference
    • Badr-Eddine Chérief-Abdellatif (CREST); Pierre Alquier (RIKEN); Mohammad Emtiyaz Khan (RIKEN) [Conference Track, Paper ID: 276]
  • Best student paper] [Poster #45] Model-Based Reinforcement Learning Exploiting State-Action Equivalence
    • Mahsa Asadi (Inria); Mohammad Sadegh Talebi (Inria); Hippolyte Bourel (ENS Rennes); Odalric Maillard (Inria) [Conference Track, Paper ID: 116]