| 10:45-11:45 | Keynote talk IV: Tetsuya Ogata (Waseda University & AIST) | Dynamical Integration of Language and Robot Actions by Deep Learning |
| 11:45-12:10 | Invited talk: Karen Livescu (TTI-Chicago) | Semantic speech retrieval with a visually grounded model of untranscribed speech |
| 12:10-13:00 | Lunch break | |
| 13:00-13:50 | Poster session | |
| Miao Xu (RIKEN), Gang Niu (RIKEN), Bo Han (UTS), Ivor W. Tsang (UTS), Zhi-Hua Zhou (NJU), and Masashi Sugiyama (RIKEN/UTokyo) | Matrix Co-completion for Multi-label Classification with Missing Features and Labels |
| Ikko Yamane (The University of Tokyo/RIKEN), Florian Yger (Paris Dauphine University), Jamal Atif (Paris Dauphine University), and Masashi Sugiyama (RIKEN/The University of Tokyo) | Uplift Modeling from Separate Labels |
| Futoshi Futami (The University of Tokyo/RIKEN), Zhenghang Cui (The University of Tokyo/RIKEN), Issei Sato (The University of Tokyo/RIKEN), and Masashi Sugiyama(RIKEN/The University of Tokyo) | Frank-Wolfe Stein Sampling |
| Bo Han (UTS & RIKEN), Quanming Yao (4Paradigm), Xingrui Yu (UTS), Gang Niu (UTS), Miao Xu (UTS), Weihua Hu (The University of Tokyo/RIKEN), Ivor Tsang (UTS), and Masashi Sugiyama (RIKEN/The University of Tokyo) | Co-teaching: Robust Training Deep Neural Networks with Extremely Noisy Labels |
| Nan Lu (The University of Tokyo), Gang Niu (Riken), Aditya Krishna Menon (The Australian National University), and Masashi Sugiyama (RIKEN/The University of Tokyo | On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data |
| Takuo Kaneko (The University of Tokyo), Masashi Sugiyama (RIKEN/The University of Tokyo), and Issei Sato (The University of Tokyo/RIKEN) | Online Multiclass Classification with Partial Feedback based on Complementary Learning |
| Muhammad Haris (TTI), Greg Shakhnarovich (TTIC), and Norimichi Ukita (TTI) | Deep Back-Projection Networks for Super-Resolution |
| Takashi Wada (Nara Institute of Science and Technology) and Tomoharu Iwata (NTT Communication Science Laboratories) | Unsupervised Cross-lingual Word Embedding by Multilingual Neural Language Model |
| Hideaki Imamura (The University of Tokyo), Issei Sato (The University of Tokyo/RIKEN), and Masashi Sugiyama (RIKEN/The University of Tokyo) | Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model |
| Hayato Futase (TTI), Yuta Hayashida (TTI),Tomoki Tsujimura (TTI), Makoto Miwa (TTI), and Yutaka Sasaki (TTI) | Prediction Forging Dies via Generative Adversarial Networks for Pairs in Sequences |
| Marc Evrard (Toyota Technological Institute), Makoto Miwa (Toyota Technological Institute), and Yutaka Sasaki (Toyota Technological Institute) | Semantic Graph Embeddings and a Neural Language Model for Word Sense Disambiguation |
| Yin Jun Phua (Tokyo Institute of Technology) and Katsumi Inoue (Tokyo Institute of Technology/National Institute of Informatics) | Learning from Noisy Transition Data |
| Tsuyoshi Okita (Kyushu Institute of Technology) and Sozo Inoue (Kyushu Institute of Technology) | Language Grounded Activity Recognition and Planning |
| Yuki Kawana (NAIST), Norimichi Ukita (TTI), Jia-Bin Huang (Virginia Tech), and Ming-Hsuan Yang (UC Merced) | Ensemble Convolutional Neural Networks for Pose Estimation |
| 13:50-14:00 | Break | |
| 14:00-15:00 | Keynote talk V: Naonori Ueda (NTT & RIKEN) | Simulation Based Machine Learning |
| 15:00-15:25 | Invited talk: Asako Kanezaki (AIRC/AIST) | Learning-based Visual Perception for Robot Navigation |
| 15:25-15:45 | Coffee break | |
| 15:45-16:10 | Invited talk: Daichi Mochihashi (The Institute of Statistical Mathematics) | The Infinite Tree Hidden Markov Model |
| 16:10-16:35 | Invited talk: Michael Maire (TTI-Chicago) | Regularizing Deep Networks by Modeling and Predicting Label Structure |
| 16:35-17:00 | Invited talk: Makoto Miwa (Toyota Technological Institute) | Neural Methods for Semantic Relation Extraction from Texts and Databases |
| 17:00-17:10 | Closing | |