Manoj Acharya - RankMe

26 papers A* 3A 3Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Do Diffusion Models Dream of Electric Planes? Discrete and Continuous Simulation-Based Inference for Aircraft Design. CoRR Aurelien Ghiglino, Daniel Elenius, Anirban Roy, Ramneet Kaur, Manoj Acharya, Colin Samplawski, Brian Matejek, Susmit Jha, Juan Alonso, Adam D. Cobb
2026	A*	`conf`	Privacy Preserving In-Context-Learning Framework for Large Language Models. AAAI Bishnu Bhusal, Manoj Acharya, Ramneet Kaur, Colin Samplawski, Anirban Roy, Adam D. Cobb, Rohit Chadha, Susmit Jha
2026	J	`jnl`	Trojans in Artificial Intelligence (TrojAI) Final Report. CoRR Kristopher W. Reese, Taylor Kulp-McDowall, Michael Majurski, Timothy Blattner, Derek Juba, Peter Bajcsy, Antonio Cardone, Philippe Dessauw, Alden Dima, Anthony J. Kearsley, Melinda Kleczynski, Joel Vasanth, Walid Keyrouz, Chace Ashcraft, Neil Fendley, Ted Staley, Trevor Stout, Josh Carney, Greg Canal, William Redman, Aurora Schmidt, Cameron Hickert, William Paul, Jared Markowitz, Nathan Drenkow, David Shriver, Marissa Connor, Keltin Grimes, Marco Christiani, Hayden Moore, Jordan Widjaja, Kasimir Gabert, Uma Balakrishnan, Satyanadh Gundimada, John Jacobellis, Sandya Lakkur, Vitus Leung, Jon Roose, Casey Battaglino, Farinaz Koushanfar, Greg Fields, Xihe Gu, Yaman Jandali, Xinqiao Zhang, Tara Javidi, Akash Vartak, Tim Oates, Ben Erichson, Michael Mahoney, Rauf Izmailov, Xiangyu Zhang, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Xiaofeng Wang, Haixu Tang, Di Tang, Xiaoyi Chen, Zihao Wang, Rui Zhu, Susmit Jha, Xiao Lin, Manoj Acharya, Weichao Zhou, Feisi Fu, Panagiota Kiourti, Chenyu Wang, Zijian Guo, H. M. Sabbir Ahmad, Wenchao Li, Chao Chen
2025	J	`jnl`	Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding. CoRR Trilok Padhi, Ramneet Kaur, Adam D. Cobb, Manoj Acharya, Anirban Roy, Colin Samplawski, Brian Matejek, Alexander M. Berenbeim, Nathaniel D. Bastian, Susmit Jha
2025	J	`jnl`	Privacy-Aware In-Context Learning for Large Language Models. CoRR Bishnu Bhusal, Manoj Acharya, Ramneet Kaur, Colin Samplawski, Anirban Roy, Adam D. Cobb, Rohit Chadha, Susmit Jha
2025	—	`conf`	Revisiting Multi-Modal LLM Evaluation. CVPR Workshops Jian Lu, Shikhar Srivastava, Junyu Chen, Robik Shrestha, Manoj Acharya, Kushal Kafle, Christopher Kanan
2025	A	`conf`	Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference. UAI Colin Samplawski, Adam D. Cobb, Manoj Acharya, Ramneet Kaur, Susmit Jha
2025	J	`jnl`	Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference. CoRR Colin Samplawski, Adam D. Cobb, Manoj Acharya, Ramneet Kaur, Susmit Jha
2025	J	`jnl`	TeleLoRA: Teleporting Model-Specific Alignment Across LLMs. CoRR Xiao Lin, Manoj Acharya, Anirban Roy, Susmit Jha
2024	J	`jnl`	Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI. CoRR Ramneet Kaur, Colin Samplawski, Adam D. Cobb, Anirban Roy, Brian Matejek, Manoj Acharya, Daniel Elenius, Alexander M. Berenbeim, John A. Pavlik, Nathaniel D. Bastian, Susmit Jha
2024	J	`jnl`	Revisiting Multi-Modal LLM Evaluation. CoRR Jian Lu, Shikhar Srivastava, Junyu Chen, Robik Shrestha, Manoj Acharya, Kushal Kafle, Christopher Kanan
2023	J	`jnl`	Generative AI in the Construction Industry: Opportunities & Challenges. CoRR Prashnna Ghimire, Kyungki Kim, Manoj Acharya
2022	A*	`conf`	Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network. IJCAI Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran
2022	J	`jnl`	Detecting out-of-context objects using contextual cues. CoRR Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran
2021	J	`jnl`	2nd Place Solution for SODA10M Challenge 2021 - Continual Detection Track. CoRR Manoj Acharya, Christopher Kanan
2020	—	`conf`	REMIND Your Neural Network to Prevent Catastrophic Forgetting. ECCV (8) Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan
2020	A	`conf`	RODEO: Replay for Online Object Detection. BMVC Manoj Acharya, Tyler L. Hayes, Christopher Kanan
2020	J	`jnl`	RODEO: Replay for Online Object Detection. CoRR Manoj Acharya, Tyler L. Hayes, Christopher Kanan
2019	J	`jnl`	REMIND Your Neural Network to Prevent Catastrophic Forgetting. CoRR Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan
2019	—	`conf`	RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking. ICCV Workshops Aayush K. Chaudhary, Rakshit Sunil Kothari, Manoj Acharya, Shusil Dangi, Nitinraj Nair, Reynold Bailey, Christopher Kanan, Gabriel J. Diaz, Jeff B. Pelz
2019	J	`jnl`	RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking. CoRR Aayush K. Chaudhary, Rakshit Sunil Kothari, Manoj Acharya, Shusil Dangi, Nitinraj Nair, Reynold Bailey, Christopher Kanan, Gabriel J. Diaz, Jeff B. Pelz
2019	A*	`conf`	TallyQA: Answering Complex Counting Questions. AAAI Manoj Acharya, Kushal Kafle, Christopher Kanan
2019	—	`conf`	VQD: Visual Query Detection In Natural Scenes. NAACL-HLT (1) Manoj Acharya, Karan Jariwala, Christopher Kanan
2019	J	`jnl`	VQD: Visual Query Detection in Natural Scenes. CoRR Manoj Acharya, Karan Jariwala, Christopher Kanan
2018	J	`jnl`	TallyQA: Answering Complex Counting Questions. CoRR Manoj Acharya, Kushal Kafle, Christopher Kanan
2005	A	`conf`	SOA in the Real World - Experiences. ICSOC Manoj Acharya, Abhijit Kulkarni, Rajesh Kuppili, Rohit Mani, Nitin More, Srinivasa Narayanan, Parthiv Patel, Kenneth W. Schuelke, Subbu N. Subramanian