9to5Google

Google equates Gemini’s gradient design to 1984’s smiling Macintosh

A post on Google Design this week takes a look at the design and illustration of the Gemini app, with gradients playing a big ...
Scientific Research Publishing

Ruder, S. (2016) An Overview of Gradient Descent Optimization Algorithms. arXiv Preprint.

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
Scientific Research Publishing

Wilson, A.C., Roelofs, R., Stern, M., Srebro, N. and Recht, B. (2017) The Marginal Value of Adaptive Gradient Methods in Machine Learning. Advances in Neural Information ...

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
GitHub

How are gradients flowing through HumanContact3DPredictor?

First of all, amazing work — and thank you for releasing the code and sharing such a well-documented project! I’ve been trying to understand how the 3D human contact loss is computed, and I have a few ...
C&EN

High-Performance Proteomics Using Nano-, Capillary-, and Microflow Chromatographic Separations

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Current applications of mass-spectrometry-based proteomics range from single-cell to ...
GitHub

Cond mamba stops gradients from flowing backwards from the cond_proj layer for some reason (screen shots at the bottom of the post)

In case of recurrent state space representation modeling, where we feed aggregated context from one block as the hidden state initializer for next block, it is imperative that the current block allows ...