Dipesh Tamboli

20 papers A* 2B 1C 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BalancedDPO: Adaptive Multi-Metric Alignment. Trans. Mach. Learn. Res. Dipesh Tamboli, Souradip Chakraborty, Aditya Malusare, Biplab Banerjee, Amrit Singh Bedi, Vaneet Aggarwal
2026	J	`jnl`	PRIVATEEDIT: A Privacy-Preserving Pipeline for Face-Centric Generative Image Editing. CoRR Dipesh Tamboli, Vineet Punyamoorty, Atharv Pawar, Vaneet Aggarwal
2026	J	`jnl`	TARo: Token-level Adaptive Routing for LLM Test-time Alignment. CoRR Arushi Rai, Qiang Zhang, Hanqing Zeng, Yunkai Zhang, Dipesh Tamboli, Xiangjun Fan, Zhuokai Zhao, Lizhu Zhang
2025	J	`jnl`	BalancedDPO: Adaptive Multi-Metric Alignment. CoRR Dipesh Tamboli, Souradip Chakraborty, Aditya Malusare, Biplab Banerjee, Amrit Singh Bedi, Vaneet Aggarwal
2025	J	`jnl`	Exploring System 1 and 2 communication for latent reasoning in LLMs. CoRR Julian Coda-Forno, Zhuokai Zhao, Qiang Zhang, Dipesh Tamboli, Weiwei Li, Xiangjun Fan, Lizhu Zhang, Eric Schulz, Hsiao-Ping Tseng
2024	J	`jnl`	Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer. CoRR Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran, Denny Yu, Vaneet Aggarwal
2024	J	`jnl`	Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework With Mortality Classifier and Transformer. IEEE J. Biomed. Health Informatics Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran, Denny Yu, Vaneet Aggarwal
2023	A*	`conf`	Domain Adaptive Few-Shot Open-Set Learning. ICCV Debabrata Pal, Deeptej More, Sai Bhargav, Dipesh Tamboli, Vaneet Aggarwal, Biplab Banerjee
2023	J	`jnl`	Domain Adaptive Few-Shot Open-Set Learning. CoRR Debabrata Pal, Deeptej More, Sai Bhargav, Dipesh Tamboli, Vaneet Aggarwal, Biplab Banerjee
2023	A*	`conf`	Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. ICML Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal
2023	J	`jnl`	Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. CoRR Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal
2023	J	`jnl`	Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision. CoRR Aditya Malusare, Harish Kothandaraman, Dipesh Tamboli, Nadia Atallah Lanman, Vaneet Aggarwal
2022	C	`conf`	RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework. IGARSS Advait Kumar, Dipesh Tamboli, Shivam Pande, Biplab Banerjee
2022	J	`jnl`	RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework. CoRR Advait Kumar, Dipesh Tamboli, Shivam Pande, Biplab Banerjee
2021	J	`jnl`	Explaining decision of model from its prediction. CoRR Dipesh Tamboli
2020	J	`jnl`	Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning. CoRR Abhijeet Patil, Dipesh Tamboli, Swati Meena, Deepak Anand, Amit Sethi
2020	J	`jnl`	Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes. CoRR Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil, Rohit Saluja, Biplab Banerjee, Amit Sethi, Raju Dhandapani, Sudhir Kumar, Rabi Narayan Sahoo, Viswanathan Chinnusamy, J. Adinarayana
2020	—	`conf`	Multi-source Open-Set Deep Adversarial Domain Adaptation. ECCV (26) Sayan Rakshit, Dipesh Tamboli, Pragati Shuddhodhan Meshram, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri
2020	B	`conf`	Saliency-Driven Class Impressions For Feature Visualization Of Deep Neural Networks. ICIP Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee
2020	J	`jnl`	Saliency-driven Class Impressions for Feature Visualization of Deep Neural Networks. CoRR Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee