Data Science & AI Research

research

∙ 06/20/2022

Visualizing and Understanding Self-Supervised Vision Learning

Self-Supervised vision learning has revolutionized deep learning, becomi...

Fawaz Sammani, et al. ∙

research

∙ 06/15/2022

Reconstructing Training Data from Trained Neural Networks

Understanding to what extent neural networks memorize training data is a...

Niv Haim, et al. ∙

research

∙ 06/07/2022

NOMAD: Nonlinear Manifold Decoders for Operator Learning

Supervised learning in function spaces is an emerging area of machine le...

Jacob H. Seidman, et al. ∙

research

∙ 06/17/2022

Sheaf Neural Networks with Connection Laplacians

A Sheaf Neural Network (SNN) is a type of Graph Neural Network (GNN) tha...

Federico Barbero, et al. ∙

research

∙ 06/22/2022

Graph Neural Networks as Gradient Flows

Dynamical systems minimizing an energy are ubiquitous in geometry and ph...

Francesco Di Giovanni, et al. ∙

research

∙ 06/07/2022

Can CNNs Be More Robust Than Transformers?

The recent success of Vision Transformers is shaking the long dominance ...

Zeyu Wang, et al. ∙

research

∙ 06/17/2022

Fast Finite Width Neural Tangent Kernel

The Neural Tangent Kernel (NTK), defined as Θ_θ^f(x_1, x_2) = [∂ f(θ, x_...

Roman Novak, et al. ∙

research

∙ 06/16/2022

All the World's a (Hyper)Graph: A Data Drama

We introduce Hyperbard, a dataset of diverse relational data representat...

Corinna Coupette, et al. ∙

research

∙ 06/30/2022

AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection

Analyzing the distribution shift of data is a growing research direction...

Marius Drăgoi, et al. ∙

research

∙ 06/27/2022

Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data

Modern tourism in the 21st century is facing numerous challenges. One of...

Julian Lemmel, et al. ∙

research

∙ 06/09/2022

Towards Layer-wise Image Vectorization

Image rasterization is a mature technique in computer graphics, while im...

Xu Ma, et al. ∙

Discover the latest A.I. research.