Kiran Purohit

Latest

• Sample Efficient Demonstration Selection for In-Context Learning
• Application of Subset Selection in Robust and Efficient Machine Learning @ C. V. Raman Global University (CGU), Odisha 2025
• Retrieval-based Language Models and Applications @CNeRG Reading Group
• EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning @EMNLP 2024
• A Data-Driven Defense against Edge-case Model Poisoning Attacks on Federated Learning @ECAI 2024
• EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning
• Application of Subset Selection in Efficient Machine Learning @IBM Maitreyee Research Showcase 2024
• A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs @TMLR 2024
• A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs
• A Data-Driven Defense against Edge-case Model Poisoning Attacks on Federated Learning
• When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories @CNeRG Reading Group
• Scalable and Accurate Channel pruning @CNeRG Mini Retreat
• Winning the Lottery Ahead of Time: Efficient Early Network Pruning @CNeRG Reading Group
• Practical Adversarial Robustness in Deep Learning: Problems and Solutions @CNeRG Reading Group
• Accurate and efficient channel pruning via orthogonal matching pursuit @AIMLSystems 2022
• LearnDefend: Learning to Defend against Backdoor Attacks on Federated Learning @AIMLSystems Doctoral Symposium 2022
• Accurate and efficient channel pruning via orthogonal matching pursuit
• When-To-Post on Social Networks @CNeRG Reading Group @CNeRG Reading Group
• SummEval: Re-evaluating Summarization Evaluation @CNeRG Reading Group
• COVID-19 Detection on Chest X-Ray and CT Scan Images Using Multi-image Augmented Deep Learning Model @ICMC 2021
• COVID-19 Detection on Chest X-Ray and CT Scan Images Using Multi-image Augmented Deep Learning Model
• Measuring the Degree of Suitability of Edge Detection Operators Prior to an Application
• Some Applications of First and Second Order Derivative Operators in Machine Learning and Clinical Diagnosis @M.Tech Thesis, NIT Durgapur