37 citations · 47 across the 8 of their papers we have counts for
10 papers
Internalizing Curriculum Judgment for LLM Reinforcement Fine-Tuning
Han Zheng, Yining Ma, Karthick Gunasekaran +4
In LLM Reinforcement Fine-Tuning (RFT), curriculum learning drives both efficiency and performance. Yet, current methods externalize curriculum judgment via handcrafted heuristics…
Utilizing deep learning for automated tuning of database management systems
Karthick Prasad Gunasekaran, Kajal Tiwari, Rachana Acharya
Managing the configurations of a database system poses significant challenges due to the multitude of configuration knobs that impact various system aspects.The lack of standardiza…
Leveraging object detection for the identification of lung cancer
Karthick Prasad Gunasekaran
Lung cancer poses a significant global public health challenge, emphasizing the importance of early detection for improved patient outcomes. Recent advancements in deep learning al…
Exploring Sentiment Analysis Techniques in Natural Language Processing: A Comprehensive Review
Karthick Prasad Gunasekaran
Sentiment analysis (SA) is the automated process of detecting and understanding the emotions conveyed through written text. Over the past decade, SA has gained significant populari…
Deep learning based Auto Tuning for Database Management System
Karthick Prasad Gunasekaran, Kajal Tiwari, Rachana Acharya
The management of database system configurations is a challenging task, as there are hundreds of configuration knobs that control every aspect of the system. This is complicated by…
Now You See Me: Robust approach to Partial Occlusions
Karthick Prasad Gunasekaran, Nikita Jaiman
Occlusions of objects is one of the indispensable problems in Computer vision. While Convolutional Neural Net-works (CNNs) provide various state of the art approaches for regular i…
Ultra Sharp : Study of Single Image Super Resolution using Residual Dense Network
Karthick Prasad Gunasekaran
For years, Single Image Super Resolution (SISR) has been an interesting and ill-posed problem in computer vision. The traditional super-resolution (SR) imaging approaches involve i…
Text2Time: Transformer-based Article Time Period Prediction
Karthick Prasad Gunasekaran, B Chase Babrich, Saurabh Shirodkar +1
The task of predicting the publication period of text documents, such as news articles, is an important but less studied problem in the field of natural language processing. Predic…
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
Trapit Bansal, Karthick Gunasekaran, Tong Wang +2
Meta-learning considers the problem of learning an efficient learning process that can leverage its past experience to accurately solve new tasks. However, the efficacy of meta-lea…
Unsupervised Pre-training for Biomedical Question Answering
Vaishnavi Kommaraju, Karthick Gunasekaran, Kun Li +4
We explore the suitability of unsupervised representation learning methods on biomedical text -- BioBERT, SciBERT, and BioSentVec -- for biomedical question answering. To further i…