Saurav Jha - RankMe

26 papers A* 4Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models. Trans. Mach. Learn. Res. 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
2025	J	`jnl`	Lightweight Structured Multimodal Reasoning for Clinical Scene Understanding in Robotics. CoRR Saurav Jha, Stefan K. Ehrlich
2025	A*	`conf`	Mining your own secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models. ICLR Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji
2025	J	`jnl`	Probing the effectiveness of World Models for Spatial Reasoning through Test-time Scaling. CoRR Saurav Jha, Muhammad Jehanzeb Mirza, Wei Lin, Shiqi Yang, Sarath Chandar
2024	A*	`conf`	CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models. NeurIPS Saurav Jha, Dong Gong, Lina Yao
2024	J	`jnl`	CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models. CoRR Saurav Jha, Dong Gong, Lina Yao
2024	J	`jnl`	GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models. CoRR 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
2024	J	`jnl`	Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models. CoRR Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji
2024	J	`jnl`	On the relevance of pre-neural approaches in natural language processing pedagogy. CoRR Aditya Joshi, Jake Renzella, Pushpak Bhattacharyya, Saurav Jha, Xiangyu Zhang
2023	A*	`conf`	Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. ICCV Yun Li, Zhe Liu, Saurav Jha, Lina Yao
2023	J	`jnl`	Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. CoRR Yun Li, Zhe Liu, Saurav Jha, Sally Cripps, Lina Yao
2023	A*	`conf`	NPCL: Neural Processes for Uncertainty-Aware Continual Learning. NeurIPS Saurav Jha, Dong Gong, He Zhao, Lina Yao
2023	J	`jnl`	NPCL: Neural Processes for Uncertainty-Aware Continual Learning. CoRR Saurav Jha, Dong Gong, He Zhao, Lina Yao
2022	J	`jnl`	The Neural Process Family: Survey, Applications and Perspectives. CoRR Saurav Jha, Dong Gong, Xuesong Wang, Richard E. Turner, Lina Yao
2022	—	`conf`	Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization. CVPR Workshops Francesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan Raducanu, Joost van de Weijer
2022	J	`jnl`	Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization. CoRR Francesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan Raducanu, Joost van de Weijer
2021	J	`jnl`	Continual Activity Recognition with Generative Adversarial Networks. ACM Trans. Internet Things Juan Ye, Pakawat Nakwijit, Martin Schiemer, Saurav Jha, Franco Zambonelli
2021	J	`jnl`	Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis. CoRR Saurav Jha, Martin Schiemer, Franco Zambonelli, Juan Ye
2021	J	`jnl`	Continual learning in sensor-based human activity recognition: An empirical benchmark analysis. Inf. Sci. Saurav Jha, Martin Schiemer, Franco Zambonelli, Juan Ye
2021	J	`jnl`	Learning Domain Specific Language Models for Automatic Speech Recognition through Machine Translation. CoRR Saurav Jha
2020	J	`jnl`	Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization. CoRR Saurav Jha, Martin Schiemer, Juan Ye
2019	J	`jnl`	Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languages. J. Lang. Model. Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh
2018	J	`jnl`	Multi Task Deep Morphological Analyzer: Context Aware Joint Morphological Tagging and Lemma Prediction. CoRR Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh
2018	J	`jnl`	Neural Machine Translation based Word Transduction Mechanisms for Low-Resource Languages. CoRR Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh
2018	J	`jnl`	Towards Improved Cartoon Face Detection and Recognition Systems. CoRR Saurav Jha, Nikhil Agarwal, Suneeta Agarwal
2017	—	`conf`	Reference Scope Identification for Citances Using Convolutional Neural Networks. ICON Saurav Jha, Aanchal Chaurasia, Akhilesh Sudhakar, Anil Kumar Singh