Agenda
** Please do not cite or replicate any of the work by the speakers below without their prior consent, some of the work could be unpublished
Keynotes
Keynotes
- Jeff Dean's Keynote: Deep Learning to Solve Challenging Problems
- Prabhakar's Keynote: Reinventing productivity using AI
- Roberto's keynote: G Suite Search and Intelligence
- Rajen's Keynote: Cloud AI
Session 1: Deep Learning (1 hour, 10 mins for each talk, 10 mins QnA)
Session 1: Deep Learning (1 hour, 10 mins for each talk, 10 mins QnA)
Moderator: Sunita Sarawagi
Moderator: Sunita Sarawagi
- Balaraman Ravindran, IIT Madras: Structure in Deep RL
- Sunita Sarwagi, IIT Bombay: Generalizing Across Domains via Cross-Gradient Training
- Tanuja Ganu, DataGlen Technologies: IoT & AI powered platform for Energy Analytics
- Rushi Bhatt, LinkedIn: Overview of how we keep the linkedin feed clean and professional
Session 2: Natural Language Processing (1 hour, 10 mins for each talk, 10mins QnA)
Session 2: Natural Language Processing (1 hour, 10 mins for each talk, 10mins QnA)
Moderator: B Ravindran
Moderator: B Ravindran
- Sourangshu Bhattacharya, IIT Kharagpur: Task-Specific Representation Learning for Web-scale Entity Disambiguation
- Mausam, IIT Delhi: Hierarchical Pointer Memory Network for Task-Oriented Dialogue
- Partha Talukdar, IISc: Canonicalizing Open Knowledge Graph
- Manish Gupta, VideoKen: Applying Machine Learning to Support Human Learning
- Arjun Maheswaran and Pankaj Gupta: Agara Labs and Google: Smart Customer Support
Panel Discussion: Challenges and future of AI/ML Ecosystem in India (30 minutes)
Panel Discussion: Challenges and future of AI/ML Ecosystem in India (30 minutes)
Moderator: Pankaj Gupta
Moderator: Pankaj Gupta
Panel Members
Ashish Tendulkar, ML Engineer, Google India
Anirban Dasgupta, Associate Professor, IIT Gandhinagar
Chiranjib Bhattacharyya , Professor, IISc
Srinivas Raaghav, Sr. Engineer, Research & Machine Intelligence, Google
Shourya Roy, Head and VP, American Express Big Data Labs
Session 3: ML Systems (1 hour, 10 mins for each talk, 20 mins QnA)
Session 3: ML Systems (1 hour, 10 mins for each talk, 20 mins QnA)
Moderator: Manish Gupta
Moderator: Manish Gupta
- Goda Ramkumar, Ola: ML/Data Science algorithms that power Ola
- Prateek Jain, Microsoft Research India: Resource-efficient ML in 2 KB RAM for the Internet of Things
- Animesh Mukherjee, IIT Kharagpur: Ranking State-of-the-art Papers via Incomplete Tournaments Induced by Citations from Performance Tables
- Srujana Merugu, Independent Consultant: Building ML-based systems: A Practitioner's Perspective
Session 4: Computer Vision (1 hour, 10 mins for each talk, 10 mins QnA)
Session 4: Computer Vision (1 hour, 10 mins for each talk, 10 mins QnA)
Moderator: Mausam
Moderator: Mausam
- Vineeth N Balasubramanian, IIT Hyderabad: Explainability in Deep Learning: Generalized Gradient-based Visual Explanations for Deep Convolutional Networks (Grad-CAM++)
- Vinay P. Namboodiri, IIT Kanpur: Adversarial Machine Learning
- Vishnu Makkapati, Myntra: Generation of Fashion Designs Using Generative Adversarial Networks
- Varun Gulshan, Google: ML in Medical Imaging
- Soma Biswas, IISc: Preserving Semantic Similarity for Zero-Shot Learning
Session 5: Other Interesting topics (1 Hour, 10 mins for each talk, 10 mins QnA)
Session 5: Other Interesting topics (1 Hour, 10 mins for each talk, 10 mins QnA)
Moderator: Gopalan Sivathanu
Moderator: Gopalan Sivathanu
- Aditya Gopalan, IISc: Online and reinforcement learning in complex environments
- Ganesh Ramakrishnan, IIT Bombay: Human Assisted Machine Learning: Consensus, Domain Knowledge and Performance Measures
- Lavanya, Amazon: Bayesian Models for Product Size Recommendation
- Kabir Rustogi, Delhivery: Address Geocoding using Graph based Machine Learning Models
- Rahul Sami, Google: ML challenges in Google Maps Automoderation
- Mohit Kumar, Flipkart : Rev2 - Fraudulent user prediction in ratings platform