Tanmoy Mukherjee

According to our database, Tanmoy Mukherjee authored at least 15 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data.

Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jegou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois

CoRR, 2023

2022

Representation Learning with Information Theory for COVID-19 Detection.

Abel Díaz Berenguer, Tanmoy Mukherjee, Matias Bossa, Nikos Deligiannis, Hichem Sahli

CoRR, 2022

Novel Class Discovery: A Dependency Approach.

Tanmoy Mukherjee, Nikos Deligiannis

Proceedings of the IEEE International Conference on Acoustics, 2022

Representation Learning with Information Theory to Detect COVID-19 and Its Severity.

Abel Díaz Berenguer, Tanmoy Mukherjee, Yifei Da, Matías Nicolás Bossa, Maryna Kvasnytsia, Jef Vandemeulebroucke, Nikos Deligiannis, Hichem Sahli

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks.

Fawaz Sammani, Tanmoy Mukherjee, Nikos Deligiannis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Multiview learning with sparse and unannotated data.

Tanmoy Mukherjee

PhD thesis, 2021

Generalization error bounds for deep unfolding RNNs.

Boris Joukovsky, Tanmoy Mukherjee, Huynh Van Luong, Nikos Deligiannis

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

A Conceptual Framework Towards Implementing a Cloud-Based Dynamic Load Balancer Using a Weighted Round-Robin Algorithm.

Sudipta Sahana, Tanmoy Mukherjee, Debabrata Sarddar

Int. J. Cloud Appl. Comput., 2020

2019

An Efficient Algorithm for Parking Lot Allocation.

Souvik Paul, Tanmoy Mukherjee, Varsha Roy, Anchala Das, Priya Roy, Kamalesh Karmakar

Proceedings of the 10th International Conference on Computing, 2019

2018

Go-Park: A Parking Lot Allocation System in Smart Cities.

Tanmoy Mukherjee, Shayon Gupta, Poulomi Sen, Vijay Pandey, Kamalesh Karmakar

Proceedings of the Advances in Computing and Data Science, 2018

Learning Unsupervised Word Translations Without Adversaries.

Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Deep Matching Autoencoders.

Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales

CoRR, 2017

2016

Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition.

Tanmoy Mukherjee, Timothy M. Hospedales

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2013

Domain Specific Facts Extraction Using Weakly Supervised Active Learning Approach.

Vinay Pande, Tanmoy Mukherjee, Vasudeva Varma

Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Summarizing Answers for Community Question Answer Services.

Vinay Pande, Tanmoy Mukherjee, Vasudeva Varma

Proceedings of the Language Processing and Knowledge in the Web, 2013