Maintainer - Aaron Zhao
Trends comprises a curated selection of notable papers across various fields, representing research advancements we should monitor within the expansive realm of machine learning knowledge.
Sequential Modeling Enables Scalable Learning for Large Vision Models
3D Gaussian Splatting for Real-Time Radiance Field Rendering
Masked Autoencoders Are Scalable Vision Learners
Taming Transformers for High-Resolution Image Synthesis (2021)
Learning Transferable Visual Models From Natural Language Supervision (2020)