Program Highlights
An Overview of Leading AI/ML/DS centers in India
10:15AM - 11:15AM (IST)
This session will provide introductory overviews to a few large interdisciplinary AI centers that have come up in the top academic institutes in India in the recent years from respective leaders.
Robert Bosch Centre for Data Science and AI (RBCDSAI) by
IIT Madras
School of Artificial Intelligence (ScAI) by
IIT Delhi
Center for Machine Intelligence and Data Science (C-MInDS) by
IIT Bombay
Centre of Excellence in Artificial Intelligence (CAI) by
IIT Kharagpur
Machine Intelligence and Robotics Center (MINRO) by
IIIT Bangalore
Kohli Center on Intelligent Systems (KCIS) by
IIIT Hyderabad
A Kaleidoscope of Sample Papers from India in Top Data Science Conferences
08:45AM - 9:15AM (IST)
This segment will feature a video kaleidoscope of a representative sample of relevant research papers from Indian institutions which appeared in recent editions of CORE A* Data Science conferences. The session will have papers presented at ECCV’20, NeurIPS’20, AAMAS’21, AAAI’21, ACL’21, SIGIR’21 and ICML’21.
ACL 2021
Explanations for CommonSenseQA: New Dataset and Models
Shourya Aggarwal (IIT Delhi), Divyanshu Mandowara (IIT Delhi), Vishwajeet Agrawal, Dinesh Khandelwal (IBM Research India), Parag Singla (IIT Delhi) and Dinesh Garg (IBM Research India)
ACL 2021
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study
Yash Khemchandani (IIT Bombay), Sarvesh Mehtani (IIT Bombay), Vaidehi Patil (IIT Bombay), Abhijeet Awasthi (IIT Bombay), Partha Talukdar (Google Research India) and Sunita Sarawagi (IIT Bombay)
NeurIPS 2020
Calibrating CNNs for Lifelong Learning
Pravendra Singh (IIT Kanpur), Vinay Verma (Duke U.), Pratik Mazumder (IIT Kanpur), Lawrence Carin (Duke U.), Piyush Rai (IIT Kanpur)
NeurIPS 2020
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms
G. Bresler (MIT), P. Jain (Microsoft Research India), D. Nagaraj (MIT), P. Netrapalli (Microsoft Research India) and X. Wu (Stanford)
AAMAS 2021
Sample Efficient Ensemble Reinforcement Learning
Saphal, R. (IIT Madras), Ravindran, B. (IIT Madras), Mudigere, D. (Facebook), Avancha, S. (Intel India), and Kaul, B. (Intel India)
AAAI 2021
More the Merrier: Towards Multi-Emotion and Intensity Controllable Response Generation
Mauajama Firdaus, Asif Ekbal and Pushpak Bhattacharyya (IIT Patna)
SIGIR 2021
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering
Aman Jain (IIT Bombay), Mayank Kothyari (IIT Bombay), Vishwajeet Kumar (IBM Research India), Preethi Jyothi (IIT Bombay), Ganesh Ramakrishnan (IIT Bombay), Soumen Chakrabarti (IIT Bombay)
ICML 2021
Adversarial Dueling Bandits
Aadirupa Saha (Indian Institute of Science (IISc), Bangalore), Tomer Koren (Tel Aviv University and Google), Yishay Mansour (Google and Tel Aviv University)
ICML 2021
On Characterizing GAN Convergence Through Proximal Duality Gap
Sahil Sidheekh, Aroof Aimen, Narayanan Chatapuram Krishnan (Indian Institute of Techology, Ropar)
ECCV 2020
Table Structure Recognition using Top-Down and Bottom-Up Cues
Sachin Raja, Ajoy Mondal and C. V. Jawahar (IIIT Hyderabad)
Reflections on Data science in India
09:15AM - 10:15AM (IST)
This session will feature a conversation between a diverse mix of experts on the evolution and role of data science in the Indian context.
Career Panels and Networking Sessions
This Q&A panel has been put together to help data scientists learn from eminent leaders about opportunities in industry research labs and startups.
Career Panel: Opportunities in Industry
11:30AM - 12:15PM (IST)
Career Panel: Opportunities in Startups
11:30AM - 12:15PM (IST)
Networking Sessions
12:15PM - 01:00PM (IST)
An opportunity for researchers with similar interests to connect with each other in virtual breakout rooms and discuss mutual interests.
| Topic/Group |
Distinguished Guest |
Session Chair |
Session Host |
| Database/Systems |
Maya Ramanath
(IIT Delhi) |
Goutham Tholpadi
(Peritus.ai) |
Vishal Agarwal
(Microsoft Research) |
| Facct ML/Responsible AI |
Sameep Mehta
(IBM Research) |
Uma Sawant
(LinkedIn) |
Sharut Gupta
(Google Research, IIT Delhi) |
| ML Theory |
Prateek Jain
(Google Research) |
Pooja
(Amazon) |
Vatsalya Chaubey
(Paypal) |
| Multi-modal AI |
Vikas Raykar
(Microsoft) |
Somya Gupta
(LinkedIn) |
Anukriti
(Microsoft Research) |
| Natural Language Processing (1) |
Anoop Kunchukuttan
(Microsoft) |
Sharmishta Jat
(IISc) |
Ananya Sai
(Google Research, IITM) |
| Natural Language Processing (2) |
Monojit Choudhury
(Microsoft Research) |
Dinesh Raghu
(IBM Research) |
Simran Kanuja
(Google Research) |
| India-specific ML Challenges (1) |
Manish Gupta
(Google Research) |
Vineet Chaoji
(Amazon) |
Siddhanth
(Wadhwani AI, U Mass Amherst) |
| India-specific ML Challenges (2) |
Shantanu Godbole
(IBM Research) |
Shreya Khare
(IBM Research) |
Harshita
(Microsoft Research) |
