Kartik Gupta - RankMe

46 papers A* 6A 5C 1Journal 28Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generative Artificial Intelligence for Medical Image Creation in Health Professions Education: a Scoping Review. J. Medical Syst. Kartik Gupta, Mila Ferri Latinovich, Madeleine Ferri Latinovich, Krishna Singh, Michael N. Patlas, Ankush Jajodia
2025	J	`jnl`	A royalty framework for copyright protection and accountability in AI-generated art. Discov. Comput. Priyanshi Rai, Kartik Gupta, Lubna Abdelkhreim Gabralla, Tanupriya Choudhury
2025	A*	`conf`	Can We Predict Performance of Large Models across Vision-Language Tasks? ICML Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
2025	J	`jnl`	Fine-Tuning Qwen 2.5 3B for Realistic Movie Dialogue Generation. CoRR Kartik Gupta
2025	J	`jnl`	Implementing Effective Changes in Software Projects to Optimize Runtimes and Minimize Defects. CoRR Kartik Gupta
2025	J	`jnl`	Iterative Auto-Annotation for Scientific Named Entity Recognition Using BERT-Based Models. CoRR Kartik Gupta
2025	J	`jnl`	Measuring the Impact of Technical Debt on Development Effort in Software Projects. CoRR Kartik Gupta
2024	J	`jnl`	Adaptive Circuit Behavior and Generalization in Mechanistic Interpretability. CoRR Jatin Nainani, Sankaran Vaidyanathan, AJ Yeung, Kartik Gupta, David Jensen
2024	J	`jnl`	Can We Predict Performance of Large Models across Vision-Language Tasks? CoRR Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
2024	—	`conf`	Data Fortress- File Sharing System Enhancing the Features of Blockchain. BDA (Astronomy, Science, and Engineering) Puneet Goswami, Victor Hugo C. de Albuquerque, Lakshita Aggarwal, Kartik Gupta
2024	J	`jnl`	Learning-Based Image Compression for Machines. CoRR Kartik Gupta, Kimberley Faria, Vikas Mehta
2024	A	`conf`	Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks. WACV Kartik Gupta, Akshay Asthana
2024	—	`conf`	The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models? ECCV (48) Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
2024	J	`jnl`	The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models? CoRR Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
2024	A*	`conf`	Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. ICLR Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
2024	J	`jnl`	Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. CoRR Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
2024	J	`jnl`	Transfer Learning with Point Transformers. CoRR Kartik Gupta, Rahul Vippala, Sahima Srivastava
2023	J	`jnl`	Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. Trans. Mach. Learn. Res. Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel
2023	J	`jnl`	Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks. CoRR Kartik Gupta, Akshay Asthana
2022	A*	`conf`	DrawMon: A Distributed System for Detection of Atypical Sketch Content in Concurrent Pictionary Games. ACM Multimedia Nikhil Bansal, Kartik Gupta, Kiruthika Kannan, Sivani Pentapati, Ravi Kiran Sarvadevabhatla
2022	J	`jnl`	DrawMon: A Distributed System for Detection of Atypical Sketch Content in Concurrent Pictionary Games. CoRR Nikhil Bansal, Kartik Gupta, Kiruthika Kannan, Sivani Pentapati, Ravi Kiran Sarvadevabhatla
2022	A*	`conf`	Improved Gradient-Based Adversarial Attacks for Quantized Networks. AAAI Kartik Gupta, Thalaiyasingam Ajanthan
2022	C	`conf`	Note: Leveraging Artificial Intelligence to build a Data Catalog and support research on the Sustainable Development Goals. COMPASS Andy Spezzatti, Elham Kheradmand, Kartik Gupta, Marie Peras, Roxaneh Zaminpeyma
2022	J	`jnl`	Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. CoRR Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel
2022	J	`jnl`	Understanding and Improving the Role of Projection Head in Self-Supervised Learning. CoRR Kartik Gupta, Thalaiyasingam Ajanthan, Anton van den Hengel, Stephen Gould
2021	A*	`conf`	Calibration of Neural Networks using Splines. ICLR Kartik Gupta, Amir Rahimi, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley
2021	A	`conf`	Mirror Descent View for Neural Network Quantization. AISTATS Thalaiyasingam Ajanthan, Kartik Gupta, Philip H. S. Torr, Richard Hartley, Puneet K. Dokania
2020	J	`jnl`	Calibration of Neural Networks using Splines. CoRR Kartik Gupta, Amir Rahimi, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley
2020	J	`jnl`	Improved Gradient based Adversarial Attacks for Quantized Networks. CoRR Kartik Gupta, Thalaiyasingam Ajanthan
2020	J	`jnl`	Learning Minimax Estimators via Online Learning. CoRR Kartik Gupta, Arun Sai Suggala, Adarsh Prasad, Praneeth Netrapalli, Pradeep Ravikumar
2020	J	`jnl`	Post-hoc Calibration of Neural Networks. CoRR Amir Rahimi, Kartik Gupta, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley
2019	—	`conf`	CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation. ICCV Workshops Kartik Gupta, Lars Petersson, Richard Hartley
2019	J	`jnl`	CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation. CoRR Kartik Gupta, Lars Petersson, Richard Hartley
2019	J	`jnl`	Mirror Descent View for Neural Network Quantization. CoRR Thalaiyasingam Ajanthan, Kartik Gupta, Philip H. S. Torr, Richard Hartley, Puneet K. Dokania
2019	A	`conf`	Near-contact grasping strategies from awkward poses: When simply closing your fingers is not enough IROS Yi Herng Ong, John Morrow, Yu Qiu, Kartik Gupta, Ravi Balasubramanian, Cindy Grimm
2018	J	`jnl`	Attentive Neural Architecture Incorporating Song Features For Music Recommendation. CoRR Noveen Sachdeva, Kartik Gupta, Vikram Pudi
2018	A	`conf`	Attentive neural architecture incorporating song features for music recommendation. RecSys Noveen Sachdeva, Kartik Gupta, Vikram Pudi
2018	J	`jnl`	Classifying Object Manipulation Actions based on Grasp-types and Motion-Constraints. CoRR Kartik Gupta, Darius Burschka, Arnav Bhavsar
2018	A	`conf`	Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation. ECIR Kartik Gupta, Noveen Sachdeva, Vikram Pudi
2017	A*	`conf`	Nearly Optimal Robust Matrix Completion. ICML Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain
2016	—	`conf`	Effectiveness of Grasp Attributes and Motion-Constraints for Fine-Grained Recognition of Object Manipulation Actions. CVPR Workshops Kartik Gupta, Darius Burschka, Arnav Bhavsar
2016	—	`conf`	Human Action Recognition for Depth Cameras via Dynamic Frame Warping. CVIP (2) Kartik Gupta, Arnav Bhavsar
2016	J	`jnl`	Lexical state analyzer for JavaCC grammars. Softw. Pract. Exp. Kartik Gupta, V. Krishna Nandivada
2016	J	`jnl`	Nearly-optimal Robust Matrix Completion. CoRR Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain
2016	—	`conf`	Scale Invariant Human Action Detection from Depth Cameras Using Class Templates. CVPR Workshops Kartik Gupta, Arnav Bhavsar
2013	J	`jnl`	Lexical State Analyzer. CoRR Kartik Gupta, V. Krishna Nandivada