I recently attended the International Conference on Machine Learning (ICML), which showcased the latest research in machine learning, along with several valuable talks and sessions. In this post, I’ll outline the key insights and takeaways from the conference across various topics. Computer Vision 1) Scaling Vision Transformers to 22 Billion Parameters (paper) Researchers have made significant … More Learnings from ICML 2023
Last month, I had an opportunity to attend the KDD Conference in Washington DC. In this post, I’m sharing a summary of my learnings from the talks that I attended and/or found interesting. 1. Multimodal Learning Using Transformers to classify Multimodal Data This tutorial focused on using Transformers to classify multimodal data consisting of both … More Learnings from KDD 2022
What are Convolutional Neural Networks and why are they important? Convolutional Neural Networks (ConvNets or CNNs) are a category of Neural Networks that have proven very effective in areas such as image recognition and classification. ConvNets have been successful in identifying faces, objects and traffic signs apart from powering vision in robots and self driving cars. Figure 1: … More An Intuitive Explanation of Convolutional Neural Networks
An Artificial Neural Network (ANN) is a computational model that is inspired by the way biological neural networks in the human brain process information. Artificial Neural Networks have generated a lot of excitement in Machine Learning research and industry, thanks to many breakthrough results in speech recognition, computer vision and text processing. In this blog post we will try to … More A Quick Introduction to Neural Networks
I have complied a topic-wise curated list of Machine Learning and Deep Learning tutorials, codes, articles and other resources. See the full list on GitHub.
Ujjwal Karn's blog 