Keynote by Srinivasan Venkatesan

Labelling a data set using sub-linearly many queries

by Prof. Sanjoy Dasgupta

A Bayesian approach for Online Learning

 by Prof. Nandan Sudarsanam

Keynote by Cheryl Ainoa

Incorporating structure into deep learning: Optimization, constraints, and physics in the loop

 by Prof. Zico Kolter

Interpretable Models for high-stake decisions 

by Prof. Cynthia Rudin

Keynote by Akhil Vishwanatham

Onboarding the next 500 million Indians 

Industry talk by Dr. Mayur Datar

Google Vertex — Google Cloud AI deeper dive

by Sam Silverberg

Responsible and Trustworthy AI systems

Industry talk by Dr. Sriram Raghavan

Theme – Customer Centricity and Customer Experience

Fireside chat with Walmart and industry leaders

Microsoft AI for digital marketing 

Industry talk by Lindsey Allen and Alexandre Vilcek

Smart Tags: A Smart Shipping Solution

AIR — Automated Item Recommendation for Site Assets

Multi Choice Modeling by Considering Context Effects, Comprehensive Empirical Analysis and Theoretical Results on Recommendation Optimization Problem

Embedding Quantization for Efficient Recommendation

Store Returns Anomaly Detection – a Deep Learning Approach

Sequence to Sequence Model for Extracting Multiple Product Name Entities

Automating Customer Care using BERT-based Hierarchical Model

Alert Rate Optimizer

Semantic Label Representation with An Application on Multimodal Product Categorization

Object-detection and Tracking in Large-scale Retail Environments

A Study of Image Quality Assessment in eCommerce

Grouping Search Results with Product Graphs in E-commerce Platforms

Hierarchical Multi-Armed Bandit for Realtime Optimization of User Engagement and Profit

From Pixels to Words: A Scalable Journey of Text Information from Product Images to Retail Catalog

Document Processing Engine (DPE)

Item Recognition As Service (IRAS)

Grouping Search Results with Product Graphs in E-commerce Platforms

Machine Learning for Doorstep Time Estimation

Heterogenous Graph Neural Networks for Supply Chain Simulation — Delivery time predictions of Order forecasts

Product Grouping for Walmart Items

Machine Learning for Doorstep Time Estimation