Richa Upadhyay

According to our database, Richa Upadhyay authored at least 13 papers between 2017 and 2024.

Collaborative distances:

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

2024

Giving each task what it needs - leveraging structured sparsity for tailored multi-task learning.

Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki

CoRR, 2024

Sharing to Learn and Learning to Share; Fitting Together Meta, Multi-Task, and Transfer Learning: A Meta Review.

Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki

IEEE Access, 2024

2023

Less is More - Towards parsimonious multi-task models using structured sparsity.

Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki

CoRR, 2023

Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images.

Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Multi-Task Meta Learning: learn how to adapt to unseen tasks.

Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki

Proceedings of the International Joint Conference on Neural Networks, 2023

Functional Knowledge Transfer with Self-supervised Representation Learning.

Prakash Chandra Chhipa, Muskaan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Deep Neural Network approaches for Analysing Videos of Music Performances.

Foteini Simistira Liwicki, Richa Upadhyay, Prakash Chandra Chhipa, Killian Murphy, Federico Visi, Stefan Östersjö, Marcus Liwicki

CoRR, 2022

Depth Contrast: Self-supervised Pretraining on 3DPM Images for Mining Material Classification.

Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjöld, Seiichi Uchida, Marcus Liwicki

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Investigating the Effect of Using Synthetic and Semi-synthetic Images for Historical Document Font Classification.

Konstantina Nikolaidou, Richa Upadhyay, Mathias Seuret, Marcus Liwicki

Proceedings of the Document Analysis Systems - 15th IAPR International Workshop, 2022

Emotions Classification Using EEG in Health Care.

Sumit Rakesh, Foteini Liwicki, Hamam Mokayed, Richa Upadhyay, Prakash Chandra Chhipa, Vibha Gupta, Kanjar De, György Kovács, Dinesh Singh, Rajkumar Saini

Proceedings of the Computer Vision and Machine Intelligence, 2022

2021

Sharing to learn and learning to share - Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning : A meta review.

Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki

CoRR, 2021

Imagined Object Recognition Using EEG-Based Neurological Brain Signals.

Rajkumar Saini, Sameer Prabhu, Richa Upadhyay, Sumit Rakesh, Prakash Chandra Chhipa, Hamam Mokayed, Marcus Liwicki, Foteini Liwicki

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2021

2017

Wavelet Decomposition Based Automatic Sleep Stage Classification Using EEG.

Nieves Crasto, Richa Upadhyay

Proceedings of the Bioinformatics and Biomedical Engineering, 2017