Tiny Papers

A Survey of Reinforcement Learning Informed by Natural Language

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Single-View 3D Object Reconstruction from Shape Priors in Memory

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Occupancy Networks: Learning 3D Reconstruction in Function Space

End-to-End Learning of Visual Representations from Uncurated Instructional Videos

Learning Deep Structure-Preserving Image-Text Embeddings

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

mixup: Beyond Empirical Risk Minimization

Tangible Bits: Towards Seamless Interfaces between People, Bits and Atoms

Making Sense of Sensing Systems: Five Questions for Designers and Researchers