Reference Scope Identification for Citances Using Convolutional Neural Networks. - Saurav Jha; Aanchal Chaurasia; Akhilesh Sudhakar; Anil Kumar Singh 001 (ICON, 2017)

Towards Improved Cartoon Face Detection and Recognition Systems. - Saurav Jha; Nikhil Agarwal; Suneeta Agarwal (CoRR, 2018)

Multi Task Deep Morphological Analyzer: Context Aware Joint Morphological Tagging and Lemma Prediction. - Saurav Jha; Akhilesh Sudhakar; Anil Kumar Singh 001 (CoRR, 2018)

Neural Machine Translation based Word Transduction Mechanisms for Low-Resource Languages. - Saurav Jha; Akhilesh Sudhakar; Anil Kumar Singh 001 (CoRR, 2018)

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 001 (J. Lang. Model., 2019)

Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization. - Saurav Jha; Martin Schiemer; Juan Ye (CoRR, 2020)

Learning Domain Specific Language Models for Automatic Speech Recognition through Machine Translation. - Saurav Jha (CoRR, 2021)

Continual learning in sensor-based human activity recognition: An empirical benchmark analysis. - Saurav Jha; Martin Schiemer; Franco Zambonelli; Juan Ye (Inf. Sci., 2021)

Continual Activity Recognition with Generative Adversarial Networks. - Juan Ye; Pakawat Nakwijit; Martin Schiemer; Saurav Jha; Franco Zambonelli (ACM Trans. Internet Things, 2021)

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 001 (CVPR Workshops, 2022)

The Neural Process Family: Survey, Applications and Perspectives. - Saurav Jha; Dong Gong; Xuesong Wang 002; Richard E. Turner; Lina Yao 001 (CoRR, 2022)

Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. - Yun Li; Zhe Liu 023; Saurav Jha; Lina Yao 001 (ICCV, 2023)

NPCL: Neural Processes for Uncertainty-Aware Continual Learning. - Saurav Jha; Dong Gong; He Zhao 001; Lina Yao 001 (NeurIPS, 2023)

Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. - Yun Li; Zhe Liu 023; Saurav Jha; Sally Cripps; Lina Yao 001 (CoRR, 2023)

CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models. - Saurav Jha; Dong Gong; Lina Yao 001 (NeurIPS, 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)

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 001; Shusuke Takahashi; Yuki Mitsufuji (ICLR, 2025)

GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models. - Muhammad Jehanzeb Mirza; Mengjie Zhao; Zhuoyuan Mao; Sivan Doveh; Wei Lin 019; Paul Gavrikov; Michael Dorkenwald; Shiqi Yang; Saurav Jha; Hiromi Wakaki; Yuki Mitsufuji; Horst Possegger; et al. (Trans. Mach. Learn. Res., 2025)