Representation Learning Websites
Andrea Dittadi
Andrea Dittadi is a postdoctoral researcher in machine learning
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic
Diffusion Hyperfeatures is a framework for consolidating the multi-scale and multi-timestep internal representations of a diffusion model for tasks such as semantic correspondence.
Internet Explorer: Targeted Representation Learning on the Open Web
Internet Explorer learns to query the Web for relevant training data via self-supervised exploration.
Geography-Aware Self-Supervised Learning
Novel training methods that exploit the spatio-temporal structure of remote sensing data.
Efficient RL via Disentangled Environment and Agent Representations
Efficient RL via Disentangled Environment and Agent Representations
Social NCE: Contrastive Learning of Socially-aware Motion Representati
Contrastive Learning of Socially-aware Motion Representations
GlitchBench
GlitchBench: Can large multimodal models detect video game glitches?
Aristotelis Ballas
A simple, whitespace theme for academics. Based on [*folio](https://github.com/bogoli/-folio) design.