Goal
The goal of this workshop is facilitate collaboration between RIKEN-AIP and IITH.
Venue
All talks will be in "Auditorium Block-A".
Program
All talks will be in "Auditorium Block-A" and poster session will be at "Atrium Block-A".
March 15, 2019
- Session I
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- 11:30-11:50 Welcome and MoU signing
- 11:50-12:10 Masashi Sugiyama (RIKEN), Weakly Supervised Learning
- 12:10-12:30 Tomasz Rutkowski (RIKEN), Brain Correlates of Task-load and Dementia Elucidation with Tensor Machine Learning
- 12:30-12:50 CV Jawahar (Invited), Computer Vision for Sports
- Session II
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- 14:10-14:30 Tatsuya Harada (RIKEN), Knowledge Transfer for Visual Recognition
- 14:30-14:50 Dinesh Babu J (Invited), Applied human behavior tracking and perception
- 14:50-15:10 C Krishna Mohan (IITH), Representation Learning For Action Recognition
- 15:10-15:30 Vineeth N Balasubramanian (IITH), Zero-shot Task Transfer
- 15:30-16:30 Posters (Atrium Block-A)
- Session III
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- 16:30-16:50 Maunendra Sankar Desarkar (IITH), Event Recommendation from Social Media
- 16:50-17:10 Chao Li (RIKEN), Exact Matrix Completion with Multiple Linear Transformations
- 17:10-17:30 Sparsh Mittal (IITH), Hardware Acceleration of Autonomous Driving
- 17:30-17:50 Jill-Jênn Vie (RIKEN), Knowledge Tracing Machines:Predicting and Optimizing Human Learning
March 16, 2019
- Session IV
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- 10:00-10:20 Chandra Sekhar Seelamantula (Invited), TBD (Deep Learning, Signal Processing)
- 10:20-10:40 K Sri Rama Murty (IITH), Unsupervised Speech Signal-to-Symbol Transformation for Zero Resource Speech Processing
- 10:40-11:00 Sumohana C (IITH), Generating Image Distortion Maps Using Convolutional Autoencoders with Application to No Reference Image Quality Assessment
- 11:00-11:50 Posters (Atrium Block-A)
- Session V
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- 11:50-12:10 Piyush Rai (Invited), Probabilistic Models for Zero-Shot Learning
- 12:10-12:30 Emtiyaz Khan (RIKEN), Fast Computation of Uncertainty in Deep Learning
- 12:30-12:50 Srijith PK (IITH), Convolutional Deep Gaussian Processes
- Session VI
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- 14:10-14:30 Osamu Sakura (RIKEN), Cultural aspects of public attitudes towards AI/robot
- 14:30-14:50 Shantanu Desai (IITH), Statistics, Data mining and machine learning in Astrophysics
- 14:50-15:10 Hiromi Arai (RIKEN), Privacy-preseving Anomaly Detection
- 15:10-15:30 Workshop Organizers, Organizers' Summary and Collaboration Action Items
List of Participants
RIKEN-AIP (names in no particular order)
- Masashi Sugiyama (Weakly supervised learning)
- Tomasz Rutkowski (Brain-computer interface; ML for signal processing)
- Bahareh Kalantar (ML for disaster application)
- Dinesh Singh (Scalable ML, computer vision)
- Chao Li (Matrix/Tensor factorization and linear inverse problem)
- Ming Hou (tensor decomposition for deep multitask learning)
- Ryuichiro Hataya (Deep meta learning)
- Osamu Sakura (cultural and social studies of AI/robotics)
- Tanuj Aasawat (HPC, large scale graph processing)
- Anand Subramanian (Bayesian deep learning)
- Isao Ishikawa (Dynamical system, RKHS, machine learning)
- Tatsuya Harada (Computer Vision)
- Jill-Jênn Vie (Matrix factorization, deep generative models, educational data mining)
- Masahiro Ikeda (Spectral clustering, Dynamical system, Machine learning)
- Emtiyaz Khan (Approximate Bayesian Inference, Bayesian deep learning)
IITH
- C Krishna Mohan (Video Analytics)
- Vineeth N Balasubramanian (Machine Learning, Deep Learning, Causality)
- Srijith P. K. (Machine learning, Bayesian learning, Deep learning)
- K Sri Rama Murty (Acoustic impulse response, Independent component analysis)
- Sumohana S. (No reference image quality assessment, Autoencoders, Distortion maps)
- Maunendra Sankar Desarkar (Information Retrieval, data mining)
- Sparsh Mittal (architectures for machine learning, neural network accelerators)
- Shantanu Desai (Astrophysical data analysis)
Invited Speakers
- Dinesh Babu Jayagopi (IIIT Bangalore, India)
- Chandra Sekhar Seelamantula (IISc Bangalore, India)
- Piyush Rai (IIT Kanpur, India)
- C.V. Jawahar (IIIT Hyderabad, India)