Research Papers
A curated collection of influential research papers that have shaped my understanding.
Machine Learning
NeurIPS
Attention Is All You Need
My thoughts on the revolutionary Transformer architecture and its impact on modern NLP.
Ashish Vaswani
2017
Computer Vision
CVPR
Deep Residual Learning for Image Recognition
My perspective on how ResNet changed deep learning by solving the vanishing gradient problem.
Kaiming He
2015
Machine Learning
Machine Learning Journal
Support-Vector Networks
This paper introduced Support Vector Machines (SVM), a foundational algorithm in machine learning for classification and regression tasks. It presented a novel way to find the optimal separating hyperplane between data points in high-dimensional space.
Corinna Cortes
1995
Natural Language Processing
NAACL
BERT: Pre-training of Deep Bidirectional Transformers
Reflecting on how BERT changed my approach to NLP tasks and transfer learning.
Jacob Devlin
2018