Mr. For Example·Nov 1, 2025DC-SSDAE: Deep Compression Single-Step Diffusion AutoencoderOffers a strong & stable codebase of s-o-t-a deep compression diffusion Autoencoder for other Autoencoder researchers to build upon
Mr. For Example·Oct 18, 2025Entering The Era of 1-bit AIIt is obvious that the increasing size of LLMs has created enormous model deployment and energy consumption problems.A response icon1A response icon1
Mr. For Example·Oct 2, 2025The Phoenix of Neural Networks: Training Sparse Networks from ScratchAIs today are still so Dense! I mean it metaphorically and literally.
Mr. For Example·Nov 19, 2023From NeRF to 3D Gaussian Splatting, the Frontiers of Text-to-3DText-to-3D, to generating countless 3D meshs by simply provide a few text descriptions. It was commonly believed as an unrealistic wild…
Mr. For Example·Nov 11, 2023From Dropout to Beyond — Advancing Neural Network SparsityIn this essay, I will initially provide a detailed exposition of dropout, elucidating the issues it has introduced. Following this, I will…
Mr. For Example·Nov 6, 2023Understand The Tolman-Eichenbaum Machine (TEM)What TEM does?A response icon2A response icon2
Mr. For Example·Sep 26, 2023Self-Attention is fundamentally a Weighted VotingWhat Self-Attention truly does in principle?
Mr. For Example·Oct 10, 2019The Way of Learning Meant to be NaturalWhat’s wrong about learning in formal education
