Saurav Jha 个人学术档案 - 学术资源搜索

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引用	144	143
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Juan YeReader of Computer Science, University of St Andrews在 st-andrews.ac.uk 的电子邮件经过验证
Lina YaoResearch Manager at CSIRO Data61 & Professor at University of New South Wales在 csiro.au 的电子邮件经过验证
Franco ZAMBONELLIUniversità di Modena e Reggio Emilia在 unimore.it 的电子邮件经过验证
Dong GongUniversity of New South Wales (UNSW)在 unsw.edu.au 的电子邮件经过验证
Richard E TurnerProfessor, University of Cambridge在 cam.ac.uk 的电子邮件经过验证
Joost van de WeijerComputer Vision Center, Universitat Autònoma de Barcelona在 cvc.uab.es 的电子邮件经过验证
Francesco PelosinCovision Lab - Brixen, South-Tyrol, Italy在 covisionlab.com 的电子邮件经过验证
Anil Kumar SinghAssociate Professor, IIT (BHU), Varanasi, India在 iitbhu.ac.in 的电子邮件经过验证
Pakawat NakwijitQueen Mary University of London在 qmul.ac.uk 的电子邮件经过验证
Vijay Prakash DwivediPhD Student at Nanyang Technological University, Singapore在 ntu.edu.sg 的电子邮件经过验证
Yun LiCommonwealth Scientific and Industrial Research Organisation在 csiro.au 的电子邮件经过验证
He ZhaoCSIRO's Data61在 data61.csiro.au 的电子邮件经过验证
Dr. Pushpak BhattacharyyaProfessor of Computer Science and Engineering, IIT Bombay在 cse.iitb.ac.in 的电子邮件经过验证
Aditya JoshiLecturer/Assistant Professor, UNSW在 unsw.edu.au 的电子邮件经过验证

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Saurav Jha

PhD student, University of New South Wales Sydney

在 unsw.edu.au 的电子邮件经过验证 - 首页

Continual Learning Computer Vision Vision-Language Model


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis S Jha, M Schiemer, F Zambonelli, J Ye Information Sciences, 2021	42	2021
The neural process family: Survey, applications and perspectives S Jha, D Gong, X Wang, RE Turner, L Yao arXiv preprint arXiv:2209.00517, 2022	21	2022
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization F Pelosin, S Jha, A Torsello, B Raducanu, ... CVPR CLVision Workshop Best Runner-up, 2022	21	2022
Continual activity recognition with generative adversarial networks J Ye, P Nakwijit, M Schiemer, S Jha, F Zambonelli ACM Transactions on Internet of Things 2 (2), 1-25, 2021	14	2021
Continual learning in human activity recognition : an empirical analysis of regularization S Jha, M Schiemer, J Ye ICML 2020 Workshop on Continual Learning, 2020	11	2020
Towards Improved Cartoon Face Detection and Recognition Systems S Jha, N Agarwal, S Agarwal https://arxiv.org/pdf/1804.01753.pdf, 2018	10*	2018
Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languages S Jha, A Sudhakar, AK Singh Journal of Language Modeling, 2018	8*	2018
Gender classification of blog authors: With feature engineering and deep learning using LSTM networks VP Dwivedi, DK Singh, S Jha 2017 Ninth International Conference on Advanced Computing (ICoAC), 142-148, 2017	5	2017
Distilled reverse attention network for open-world compositional zero-shot learning Y Li, Z Liu, S Jha, L Yao ICCV 2023 - International Conference on Computer Vision, 1782-1791, 2023	4	2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning S Jha, D Gong, H Zhao, L Yao NeurIPS 2023 - Neural Information Processing Systems, 2023	3	2023
Multi task deep morphological analyzer: Context aware joint morphological tagging and lemma prediction S Jha, A Sudhakar, AK Singh arXiv preprint arXiv:1811.08619, 2018	3	2018
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models S Jha, D Gong, L Yao arXiv preprint arXiv:2403.19137, 2024	1	2024
Learning Domain Specific Language Models for Automatic Speech Recognition through Machine Translation S Jha Master's thesis work at INRIA Nancy, France, 2021	1	2021
On the relevance of pre-neural approaches in natural language processing pedagogy A Joshi, J Renzella, P Bhattacharyya, S Jha, X Zhang ACL 2024 Workshop on Teaching NLP, 2024		2024

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