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ORCIDSaurav Jha
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2020 – today
- 2024
[i14]Saurav Jha, Dong Gong, Lina Yao:
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models. CoRR abs/2403.19137 (2024)- [i13]Aditya Joshi, Jake Renzella, Pushpak Bhattacharyya, Saurav Jha, Xiangyu Zhang:
On the relevance of pre-neural approaches in natural language processing pedagogy. CoRR abs/2405.09854 (2024) - [i12]Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji:
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models. CoRR abs/2410.00700 (2024) - [i11]Muhammad Jehanzeb Mirza, Mengjie Zhao, Zhuoyuan Mao, Sivan Doveh, Wei Lin, Paul Gavrikov, Michael Dorkenwald, Shiqi Yang, Saurav Jha, Hiromi Wakaki, Yuki Mitsufuji, Horst Possegger, Rogério Feris, Leonid Karlinsky, James R. Glass:
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models. CoRR abs/2410.06154 (2024) - 2023
- [c4]Yun Li, Zhe Liu, Saurav Jha, Lina Yao:
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. ICCV 2023: 1782-1791 - [c3]Saurav Jha, Dong Gong, He Zhao, Lina Yao:
NPCL: Neural Processes for Uncertainty-Aware Continual Learning. NeurIPS 2023 - [i10]Yun Li, Zhe Liu, Saurav Jha, Sally Cripps, Lina Yao:
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. CoRR abs/2303.00404 (2023) - [i9]Saurav Jha, Dong Gong, He Zhao, Lina Yao:
NPCL: Neural Processes for Uncertainty-Aware Continual Learning. CoRR abs/2310.19272 (2023) - 2022
- [c2]Francesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan Raducanu, Joost van de Weijer
:
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization. CVPR Workshops 2022: 3819-3828 - [i8]Francesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan Raducanu, Joost van de Weijer:
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization. CoRR abs/2203.13167 (2022) - [i7]Saurav Jha, Dong Gong, Xuesong Wang, Richard E. Turner, Lina Yao:
The Neural Process Family: Survey, Applications and Perspectives. CoRR abs/2209.00517 (2022) - 2021
- [j3]Saurav Jha, Martin Schiemer, Franco Zambonelli, Juan Ye:
Continual learning in sensor-based human activity recognition: An empirical benchmark analysis. Inf. Sci. 575: 1-21 (2021) - [j2]Juan Ye, Pakawat Nakwijit, Martin Schiemer, Saurav Jha, Franco Zambonelli:
Continual Activity Recognition with Generative Adversarial Networks. ACM Trans. Internet Things 2(2): 9:1-9:25 (2021) - [i6]Saurav Jha, Martin Schiemer, Franco Zambonelli, Juan Ye:
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis. CoRR abs/2104.09396 (2021) - [i5]Saurav Jha:
Learning Domain Specific Language Models for Automatic Speech Recognition through Machine Translation. CoRR abs/2110.10261 (2021) - 2020
- [i4]Saurav Jha, Martin Schiemer, Juan Ye:
Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization. CoRR abs/2007.03032 (2020)
2010 – 2019
- 2019
- [j1]Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh:
Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languages. J. Lang. Model. 7(2): 101-142 (2019) - 2018
- [i3]Saurav Jha, Nikhil Agarwal, Suneeta Agarwal:
Towards Improved Cartoon Face Detection and Recognition Systems. CoRR abs/1804.01753 (2018) - [i2]Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh:
Multi Task Deep Morphological Analyzer: Context Aware Joint Morphological Tagging and Lemma Prediction. CoRR abs/1811.08619 (2018) - [i1]Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh:
Neural Machine Translation based Word Transduction Mechanisms for Low-Resource Languages. CoRR abs/1811.08816 (2018) - 2017
- [c1]Saurav Jha, Aanchal Chaurasia, Akhilesh Sudhakar, Anil Kumar Singh:
Reference Scope Identification for Citances Using Convolutional Neural Networks. ICON 2017: 23-32
Coauthor Index
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