Dipanjan Ghosh

15 papers A* 2Journal 5Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Building Domain-Specific Small Language Models via Guided Data Generation. AAAI Aman Kumar, Ekant Muljibhai Amin, Xian Yeow Lee, Lasitha Vidyaratne, Ahmed K. Farahat, Dipanjan Ghosh, Yuta Koreeda, Chetan Gupta
2025	J	`jnl`	Building Domain-Specific Small Language Models via Guided Data Generation. CoRR Aman Kumar, Ekant Muljibhai Amin, Xian Yeow Lee, Lasitha Vidyaratne, Ahmed K. Farahat, Dipanjan Ghosh, Yuta Koreeda, Chetan Gupta
2025	J	`jnl`	Multi-scale causality in active matter. Comput. Chem. Eng. Alexander Smith, Dipanjan Ghosh, Andrew Tan, Xiang Cheng, Prodromos Daoutidis
2023	J	`jnl`	CDA: Contrastive-adversarial Domain Adaptation. CoRR Nishant Yadav, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Chetan Gupta, Auroop R. Ganguly
2023	—	`conf`	XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection. CVPR Workshops Xian Yeow Lee, Lasitha Vidyaratne, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta
2022	—	`conf`	Enabling Product Circularity Through Big Data Analytics and Digitalization. MWSCAS Umeshwar Dayal, Manish Gupta, Dipanjan Ghosh, Dinesh Wadhawan, Archana Morrow, Sadanori Horiguchi, Haiyan Wang, Aniruddha Rajendra Rao, Anastasia Osling, Chetan Gupta, Ravigopal Vennelakanti, Amit Kumar
2021	—	`conf`	Guided Visual Inspection enabled by AI-based Detection Models. ICPHM Maria Teresa Gonzalez Diaz, Dipanjan Ghosh, Adriano S. Arantes, Hamed Khorosgani, Mahbubul Alam, Gregory Sin, Chetan Gupta
2021	—	`conf`	NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. NeurIPS (Competition and Demos) Dustin Carrión-Ojeda, Mahbubul Alam, Sergio Escalera, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta, Isabelle Guyon, Joël Roman Ky, Xian Yeow Lee, Xin Liu, Felix Mohr, Manh Hung Nguyen, Emmanuel Pintelas, Stefan Roth, Simone Schaub-Meyer, Haozhe Sun, Ihsan Ullah, Joaquin Vanschoren, Lasitha Vidyaratne, Jiamin Wu, Xiaotian Yin
2020	A*	`conf`	Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. NeurIPS Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav V. Marathe
2020	J	`jnl`	Wisdom of the Ensemble: Improving Consistency of Deep Learning Models. CoRR Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav V. Marathe
2019	—	`conf`	Real time enhancement of low light images for low cost embedded platforms. IMSE Navinprashath R. R., Radhesh Bhat, Narendra Kumar Chepuri, Tom Korah Manalody, Dipanjan Ghosh
2019	—	`conf`	Real-time traffic sign recognition using deep network for embedded platforms. Autonomous Vehicles and Machines Raghav Nagpal, Chaitanya Krishna Paturu, Vijaya Ragavan, Navinprashath R. R., Radhesh Bhat, Dipanjan Ghosh
2018	J	`jnl`	Application of Feature-Learning Methods Toward Product Usage Context Identification and Comfort Prediction. J. Comput. Inf. Sci. Eng. Dipanjan Ghosh, Andrew T. Olewnik, Kemper Lewis
2018	—	`conf`	Equipment Health Indicator Learning Using Deep Reinforcement Learning. ECML/PKDD (3) Chi Zhang, Chetan Gupta, Ahmed K. Farahat, Kosta Ristovski, Dipanjan Ghosh
2015	—	`conf`	Exploring the self similar properties for monitoring of air quality information. ICAPR Rajrup Ghosh, Dipanjan Ghosh, Sreemoyee Roy, Abhik Mukherjee