activity
20182021
most citedNetworked Multi-Agent Reinforcement Learning with Emergent Communication

10 citations · 15 across the 4 of their papers we have counts for

collaborators

12 papers

cs.AI2022

Reinforcement Learning for ConnectX

Sheel Shah, Shubham Gupta

ConnectX is a two-player game that generalizes the popular game Connect 4. The objective is to get X coins across a row, column, or diagonal of an M x N board. The first player to…

stat.ML2022

On consistency of constrained spectral clustering under representation-aware stochastic block model

Shubham Gupta, Ambedkar Dukkipati

Spectral clustering is widely used in practice due to its flexibility, computational efficiency, and well-understood theoretical performance guarantees. Recently, spectral clusteri…

cs.LG2021

CoviHawkes: Temporal Point Process and Deep Learning based Covid-19 forecasting for India

Ambedkar Dukkipati, Tony Gracious, Shubham Gupta

Lockdowns are one of the most effective measures for containing the spread of a pandemic. Unfortunately, they involve a heavy financial and emotional toll on the population that of…

cs.CV2021

End-to-End Attention-based Image Captioning

Carola Sundaramoorthy, Lin Ziwen Kelvin, Mahak Sarin +1

In this paper, we address the problem of image captioning specifically for molecular translation where the result would be a predicted chemical notation in InChI format for a given…

cs.LG2021

Pure Exploration with Structured Preference Feedback

Shubham Gupta, Aadirupa Saha, Sumeet Katariya

We consider the problem of pure exploration with subset-wise preference feedback, which contains arms with features. The learner is allowed to query subsets of size and rec…

cs.CL20215 cited

Active Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation

Rishi Hazra, Parag Dutta, Shubham Gupta +2

While deep learning is a powerful tool for natural language processing (NLP) problems, successful solutions to these problems rely heavily on large amounts of annotated samples. Ho…