/explore

Click through on any links that interest you or select the planets on the right to continue exploring the Outer Web.
You are here

 kpzhang93.github.io
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
| | sander.ai
Slides for my talk at the Deep Learning London meetup - Sander Dieleman
3.5 parsecs away

Travel
| | Slides for my talk at the Deep Learning London meetup
| | coen.needell.org
ResMem and M3M - Coen D. Needell
5.5 parsecs away

Travel
| | In my last post on computer vision and memorability, I looked at an already existing model and started experimenting with variations on that architecture. The most successful attempts were those that use Residual Neural Networks. These are a type of deep neural network built to mimic specific visual structures in the brain. ResMem, one of the new models, uses a variation on ResNet in its architecture to leverage that optical identification power towards memorability estimation.
| | ojs.aaai.org
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction | Proceedings of the AAAI Conference on Artificial Intelligence
3.9 parsecs away

Travel
| | [AI summary] The article introduces ST-ResNet, a deep learning model designed to predict city-wide crowd flows by analyzing spatio-temporal data and external factors like weather across regions in Beijing and New York City.
| | haifengl.wordpress.com
LLM | Haifeng's Random Walk
12.9 parsecs away

Travel
| Generative artificial intelligence (GenAI), especially ChatGPT, captures everyone's attention. The transformerbased large language models (LLMs), trained on a vast quantity of unlabeled data at scale, demonstrate the ability to generalize to many different tasks. To understand why LLMs are so powerful, we will deep dive into how they work in this post. LLM Evolutionary Tree...