4) Vision Transformers Need Registers - identifies artifacts in feature maps of vision transformer networks that are repurposed for internal computations; this work proposes a solution to provide additional tokens to the input sequence to fill that role; the solution fixes the problem, leads to smoo...
4) Vision Transformers Need Registers - identifies artifacts in feature maps of vision transformer networks that are repurposed for internal computations; this work proposes a solution to provide additional tokens to the input sequence to fill that role; the solution fixes the problem, leads to smoo...
The book is often praised for its practicality, emphasizing the importance of intuition and problem-solving skills in addition to formal algorithmic analysis. It is also widely used in academic settings and serves as a valuable resource for anyone seeking a deeper understanding of algorithmic ...
Google launches her AutoML project last year, in an effort to automate the process of seeking the most appropriate neural net designs for a particular classification problem. Designing neural networks have been time consuming, despite the use of TensorFlow / Keras or other deep learning architecture ...
It’s one thing to understand an algorithmic factor – which is an important thing to be sure – but understanding the system in which those factors are weighted is of equal, if not greater, importance. For example, if I was working for a company that sold cars I would pay specific atte...
TL;DR: This is an informal summary of our recent paper Revisiting the Approximate Carathéodory Problem via the Frank-Wolfe Algorithm with Cyrille W Combettes. We show that the Frank-Wolfe algorithm constitutes an intuitive and efficient method to obtain a solution to the approximate Carathéodory p...
Enshittification names the problem and proposes a solution. It’s not just a way to say “things are getting worse”, though, of course, it’s fine with me if you want to use it that way. (It’s an English word. We don’t haveein Rat für englische Rechtschreibung. English is a...
Problem-based learning is not about succeeding or failing: it is about being an active learner, continually building upon and testing ideas. What type of Assessment tools are included in WeDo 2.0 solution? The assessment components include: Teacher-led assessment: Anecdotal record grid: The ...
It is an optimized gradient boosting library that is particularly efficient and has become a standard algorithm for many Kaggle competitions due to its high performance. Mathematical Background XGBoost improves upon the base GBM framework through systems optimization and algorithmic enhancements. It uses ...
6) Detecting Pretraining Data from LLMs - explores the problem of pretraining data detection which aims to determine if a black box model was trained on a given text; proposes a detection method named Min-K% Prob as an effective tool for benchmark example contamination detection, privacy audi...