Research
Below you can find a curated list of research papers that I highly recommend reading. These papers cover a wide range of topics including AI, ML, NLP, Generative AI, Privacy & Security, and more.
Reading List (recommended)
General
- The class imbalance problem in deep learning
- Training LLMs to follow instructions
- ImageBind: One Embedding Space To Bind Them All
- Flow Matching for Generative Modeling
- Reflective Artificial Intelligence
Privacy & Security
- Making ML models differentially private: Best practices and open challenges – Google AI Blog
- Adversarial Attacks and Defences Competition
- DTEXNet: Artificial Intelligence-Based Combination Scheme for DDoS Attacks Detection
- Intrusion Detection Using Ensemble Models
- An automated framework for the extraction of semantic legal metadata from legal texts
NLP
Others
- Detecting Depression from Voice
- WikiDoMiner: wikipedia domain-specific miner
- User2Vec: A Novel Representation for the Information of the Social Networks for Stock Market Prediction Using Convolutional and Recurrent Neural Networks
- Likelihood Prediction of Diabetes at Early Stage Using Data Mining Techniques
- Digital Twins: The Convergence of Multimedia Technologies