DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining Paper • 2509.06990 • Published Sep 2, 2025 • 1
Joint Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self Supervised Learning Paper • 2505.12477 • Published May 18, 2025 • 1
Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density Paper • 2510.05949 • Published Oct 7, 2025 • 3
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics Paper • 2511.08544 • Published Nov 11, 2025 • 9
stable-pretraining-v1: Foundation Model Research Made Simple Paper • 2511.19484 • Published Nov 23, 2025 • 1
TreeNet: A Light Weight Model for Low Bitrate Image Compression Paper • 2512.16743 • Published 21 days ago • 1
AdaGaR: Adaptive Gabor Representation for Dynamic Scene Reconstruction Paper • 2601.00796 • Published 6 days ago • 26
Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space Paper • 2512.24617 • Published 8 days ago • 54
Nested Learning: The Illusion of Deep Learning Architectures Paper • 2512.24695 • Published 8 days ago • 31
Progressive Learned Image Compression for Machine Perception Paper • 2512.20070 • Published 16 days ago • 1
Superposition as Lossy Compression: Measure with Sparse Autoencoders and Connect to Adversarial Vulnerability Paper • 2512.13568 • Published 24 days ago • 1
Next-Embedding Prediction Makes Strong Vision Learners Paper • 2512.16922 • Published 21 days ago • 83
Spherical Leech Quantization for Visual Tokenization and Generation Paper • 2512.14697 • Published 23 days ago • 7
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Paper • 2511.22699 • Published Nov 27, 2025 • 224
SVG-T2I: Scaling Up Text-to-Image Latent Diffusion Model Without Variational Autoencoder Paper • 2512.11749 • Published 27 days ago • 38
CoD: A Diffusion Foundation Model for Image Compression Paper • 2511.18706 • Published Nov 24, 2025 • 2