How I Study AI - Learn AI Papers & Lectures the Easy Way

Compositional Generalization Requires Linear, Orthogonal Representations in Vision Embedding Models

Intermediate

Arnas Uselis, Andrea Dittadi et al.Feb 27arXiv

The paper asks a simple question: what must a vision model’s internal pictures (embeddings) look like if it can recognize new mixes of things it already knows?

#compositional generalization#linear representation hypothesis#orthogonal representations

Evolving Programmatic Skill Networks

Intermediate

Haochen Shi, Xingdi Yuan et al.Jan 7arXiv

This paper teaches a computer agent to grow a toolbox of skills that are real, runnable programs, not just text ideas.

#Programmatic Skill Network#continual learning#symbolic programs

GRAN-TED: Generating Robust, Aligned, and Nuanced Text Embedding for Diffusion Models

Intermediate

Bozhou Li, Sihan Yang et al.Dec 17arXiv

This paper is about making the words you type into a generator turn into the right pictures and videos more reliably.

#diffusion models#text encoder#multimodal large language model

Papers3

Compositional Generalization Requires Linear, Orthogonal Representations in Vision Embedding Models

Evolving Programmatic Skill Networks

GRAN-TED: Generating Robust, Aligned, and Nuanced Text Embedding for Diffusion Models