Richa Upadhyay

22 papers A 1B 3Journal 10Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning. CoRR Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
2025	—	`—`	Sharing to Learn and Learning to Share: Meta-learning to Enhance Multi-task Learning. Richa Upadhyay
2024	—	`conf`	An EEG Analysis Framework for Brain Disorder Classification Using Convolved Connectivity Features. ICFSP Rajkumar Saini, Richa Upadhyay, Vibha Gupta, Prakash Chandra Chhipa, Sumit Rakesh, Hamam Mokayed, Kanjar De, Foteini Simistira Liwicki, Debashis Das Chakladar
2024	—	`conf`	Giving Each Task what it Needs Leveraging Structured Sparsity for Tailored Multi-Task Learning. ECCV Workshops (11) Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
2024	J	`jnl`	Giving each task what it needs - leveraging structured sparsity for tailored multi-task learning. CoRR Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
2024	—	`conf`	Less is More - Towards parsimonious multi-task models using structured sparsity. CPAL Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
2024	J	`jnl`	Sharing to Learn and Learning to Share; Fitting Together Meta, Multi-Task, and Transfer Learning: A Meta Review. IEEE Access Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
2023	B	`conf`	Functional Knowledge Transfer with Self-supervised Representation Learning. ICIP Prakash Chandra Chhipa, Muskaan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki
2023	J	`jnl`	Functional Knowledge Transfer with Self-supervised Representation Learning. CoRR Prakash Chandra Chhipa, Muskan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki
2023	J	`jnl`	Less is More - Towards parsimonious multi-task models using structured sparsity. CoRR Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
2023	A	`conf`	Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images. WACV Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki
2023	B	`conf`	Multi-Task Meta Learning: learn how to adapt to unseen tasks. IJCNN Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
2022	J	`jnl`	Deep Neural Network approaches for Analysing Videos of Music Performances. CoRR Foteini Simistira Liwicki, Richa Upadhyay, Prakash Chandra Chhipa, Killian Murphy, Federico Visi, Stefan Östersjö, Marcus Liwicki
2022	J	`jnl`	Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material Classification. CoRR Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjöld, Seiichi Uchida, Marcus Liwicki
2022	—	`conf`	Depth Contrast: Self-supervised Pretraining on 3DPM Images for Mining Material Classification. ECCV Workshops (7) Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjöld, Seiichi Uchida, Marcus Liwicki
2022	—	`conf`	Emotions Classification Using EEG in Health Care. CVMI Sumit Rakesh, Foteini Liwicki, Hamam Mokayed, Richa Upadhyay, Prakash Chandra Chhipa, Vibha Gupta, Kanjar De, György Kovács, Dinesh Singh, Rajkumar Saini
2022	B	`conf`	Investigating the Effect of Using Synthetic and Semi-synthetic Images for Historical Document Font Classification. DAS Konstantina Nikolaidou, Richa Upadhyay, Mathias Seuret, Marcus Liwicki
2022	J	`jnl`	Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images. CoRR Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki
2022	J	`jnl`	Multi-Task Meta Learning: learn how to adapt to unseen tasks. CoRR Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
2021	—	`conf`	Imagined Object Recognition Using EEG-Based Neurological Brain Signals. RTIP2R Rajkumar Saini, Sameer Prabhu, Richa Upadhyay, Sumit Rakesh, Prakash Chandra Chhipa, Hamam Mokayed, Marcus Liwicki, Foteini Liwicki
2021	J	`jnl`	Sharing to learn and learning to share - Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning : A meta review. CoRR Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
2017	—	`conf`	Wavelet Decomposition Based Automatic Sleep Stage Classification Using EEG. IWBBIO (1) Nieves Crasto, Richa Upadhyay