19 citations · 29 across the 7 of their papers we have counts for
8 papers
Building Goal-Oriented Dialogue Systems with Situated Visual Context
Sanchit Agarwal, Jan Jezabek, Arijit Biswas +3
Most popular goal-oriented dialogue agents are capable of understanding the conversational context. However, with the surge of virtual assistants with screen, the next generation o…
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems
Anish Acharya, Suranjit Adhikari, Sanchit Agarwal +28
Traditional goal-oriented dialogue systems rely on various components such as natural language understanding, dialogue state tracking, policy learning and response generation. Trai…
Dialog Simulation with Realistic Variations for Training Goal-Oriented Conversational Systems
Chien-Wei Lin, Vincent Auvray, Daniel Elkind +10
Goal-oriented dialog systems enable users to complete specific goals like requesting information about a movie or booking a ticket. Typically the dialog system pipeline contains mu…
eCommerceGAN : A Generative Adversarial Network for E-commerce
Ashutosh Kumar, Arijit Biswas, Subhajit Sanyal
E-commerce companies such as Amazon, Alibaba and Flipkart process billions of orders every year. However, these orders represent only a small fraction of all plausible orders. Expl…
MRNet-Product2Vec: A Multi-task Recurrent Neural Network for Product Embeddings
Arijit Biswas, Mukul Bhutani, Subhajit Sanyal
E-commerce websites such as Amazon, Alibaba, Flipkart, and Walmart sell billions of products. Machine learning (ML) algorithms involving products are often used to improve the cust…
Active learning with version spaces for object detection
Soumya Roy, Vinay P. Namboodiri, Arijit Biswas
Given an image, we would like to learn to detect objects belonging to particular object categories. Common object detection methods train on large annotated datasets which are anno…
GeThR-Net: A Generalized Temporally Hybrid Recurrent Neural Network for Multimodal Information Fusion
Ankit Gandhi, Arjun Sharma, Arijit Biswas +1
Data generated from real world events are usually temporal and contain multimodal information such as audio, visual, depth, sensor etc. which are required to be intelligently combi…
Weakly Supervised Learning of Heterogeneous Concepts in Videos
Sohil Shah, Kuldeep Kulkarni, Arijit Biswas +3
Typical textual descriptions that accompany online videos are 'weak': i.e., they mention the main concepts in the video but not their corresponding spatio-temporal locations. The c…