Saurav Jha

According to our database, Saurav Jha authored at least 18 papers between 2017 and 2024.

Collaborative distances:

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

2024

GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models.

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

CoRR, 2024

Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models.

Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji

CoRR, 2024

On the relevance of pre-neural approaches in natural language processing pedagogy.

Aditya Joshi, Jake Renzella, Pushpak Bhattacharyya, Saurav Jha, Xiangyu Zhang

CoRR, 2024

CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models.

Saurav Jha, Dong Gong, Lina Yao

CoRR, 2024

2023

Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning.

Yun Li, Zhe Liu, Saurav Jha, Sally Cripps, Lina Yao

CoRR, 2023

NPCL: Neural Processes for Uncertainty-Aware Continual Learning.

Saurav Jha, Dong Gong, He Zhao, Lina Yao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning.

Yun Li, Zhe Liu, Saurav Jha, Lina Yao

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

2022

The Neural Process Family: Survey, Applications and Perspectives.

Saurav Jha, Dong Gong, Xuesong Wang, Richard E. Turner, Lina Yao

CoRR, 2022

Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization.

Francesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan Raducanu, Joost van de Weijer

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

2021

Continual Activity Recognition with Generative Adversarial Networks.

Juan Ye, Pakawat Nakwijit, Martin Schiemer, Saurav Jha, Franco Zambonelli

ACM Trans. Internet Things, 2021

Continual learning in sensor-based human activity recognition: An empirical benchmark analysis.

Saurav Jha, Martin Schiemer, Franco Zambonelli, Juan Ye

Inf. Sci., 2021

Learning Domain Specific Language Models for Automatic Speech Recognition through Machine Translation.

Saurav Jha

CoRR, 2021

2020

Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization.

Saurav Jha, Martin Schiemer, Juan Ye

CoRR, 2020

2019

Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languages.

Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh

J. Lang. Model., 2019

2018

Neural Machine Translation based Word Transduction Mechanisms for Low-Resource Languages.

Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh

CoRR, 2018

Multi Task Deep Morphological Analyzer: Context Aware Joint Morphological Tagging and Lemma Prediction.

Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh

CoRR, 2018

Towards Improved Cartoon Face Detection and Recognition Systems.

Saurav Jha, Nikhil Agarwal, Suneeta Agarwal

CoRR, 2018

2017

Reference Scope Identification for Citances Using Convolutional Neural Networks.

Saurav Jha, Aanchal Chaurasia, Akhilesh Sudhakar, Anil Kumar Singh

Proceedings of the 14th International Conference on Natural Language Processing, 2017