There was an error while loading. Please reload this page. The goal of this project is to demystify two concepts at the heart of neural networks - backpropagation and ...

Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability.If you are ...

Abstract: Reasoning about complex visual scenes involves perception of entities and their relations. Scene Graphs (SGs) provide a natural representation for reasoning tasks, by assigning labels to ...

Abstract: Graph matching (GM) aims at discovering node matching between graphs, by maximizing the node-and edgewise affinities between the matched elements. As an NP-hard problem, its challenge is ...

Differentiable optimization-based algorithms, such as MAML, OptNet, and MGRL, have flourished recently. Meta-gradient, or the gradient term of outer-loop variables obtained by differentiating through ...

The stability of certain sets of multiplicity is studied with reference to special classes of differentiable functions. Kronecker sets are produced as examples of instability. The most difficult ...

Let X be a normed linear space, Un an n-dimensional Chebyshev subspace of X. For f ∈ X denote by p(f) ∈ Un its best approximation in Un. The problem of strong unicity consists in estimating how fast ...