Aniket Anand Deshmukh | DeepAI

DeepAI

Featured Co-authors

Abhishek Gupta
116 publications
Vineeth N Balasubramanian
65 publications
Gilles Blanchard
32 publications
Christian Igel
31 publications
Clayton Scott
27 publications
Yunwen Lei
22 publications
Urun Dogan
13 publications
Denis Charles
10 publications
Young Hun Jung
10 publications
Abhimanu Kumar
8 publications
Eren Manavoglu
7 publications

∙ 10/07/2021

Offline RL With Resource Constrained Online Deployment

Offline reinforcement learning is used to train policies in scenarios wh...

Jayanth Reddy Regatti, et al. ∙

∙ 05/04/2021

Representation Learning for Clustering via Building Consensus

In this paper, we focus on deep clustering and unsupervised representati...

Aniket Anand Deshmukh, et al. ∙

∙ 10/03/2020

Consensus Clustering with Unsupervised Representation Learning

Recent advances in deep clustering and unsupervised representation learn...

Jayanth Reddy Regatti, et al. ∙

∙ 08/17/2020

Zero Shot Domain Generalization

Standard supervised learning setting assumes that training data and test...

Udit Maniyar, et al. ∙

∙ 03/18/2020

Self-Supervised Contextual Bandits in Computer Vision

Contextual bandits are a common problem faced by machine learning practi...

Aniket Anand Deshmukh, et al. ∙

∙ 02/18/2020

Data Transformation Insights in Self-supervision with Clustering Tasks

Self-supervision is key to extending use of deep learning for label scar...

Abhimanu Kumar, et al. ∙

∙ 01/12/2020

Head and Tail Localization of C. elegans

C. elegans is commonly used in neuroscience for behaviour analysis becau...

Mansi Ranjit Mane, et al. ∙

∙ 11/15/2019

Label-similarity Curriculum Learning

Curriculum learning can improve neural network training by guiding the o...

Urun Dogan, et al. ∙

∙ 09/23/2019

PAC Reinforcement Learning without Real-World Feedback

This work studies reinforcement learning in the Sim-to-Real setting, in ...

Yuren Zhong, et al. ∙

∙ 05/24/2019

A Generalization Error Bound for Multi-class Domain Generalization

Domain generalization is the problem of assigning labels to an unlabeled...

Aniket Anand Deshmukh, et al. ∙

∙ 10/17/2018

Simple Regret Minimization for Contextual Bandits

There are two variants of the classical multi-armed bandit (MAB) problem...

Aniket Anand Deshmukh, et al. ∙

∙ 07/09/2018

Domain2Vec: Deep Domain Generalization

We address the problem of domain generalization where a decision functio...

Aniket Anand Deshmukh, et al. ∙

∙ 11/21/2017

Domain Generalization by Marginal Transfer Learning

Domain generalization is the problem of assigning class labels to an unl...

Gilles Blanchard, et al. ∙

∙ 05/24/2017

Multi-Task Learning for Contextual Bandits

Contextual bandits are a form of multi-armed bandit in which the agent h...

Aniket Anand Deshmukh, et al. ∙