Agenda

Session 2: Natural Language Processing (1 hour, 10 mins for each talk, 10mins QnA)

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)

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)

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)

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)

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