Denoising Autoregressive Representation Learning

8 March 2024

Papers citing "Denoising Autoregressive Representation Learning"

8 / 8 papers shown

Title
Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data Hengrui Zhang Liancheng Fang Qitian Wu Philip S. Yu DiffM LMTD 26 1 0 28 Oct 2024
Autoregressive Image Generation without Vector Quantization Tianhong Li Yonglong Tian He Li Mingyang Deng Kaiming He DiffM 43 171 0 17 Jun 2024
ZigMa: A DiT-style Zigzag Mamba Diffusion Model Vincent Tao Hu S. A. Baumann Ming Gui Olga Grebenkova Pingchuan Ma Johannes S. Fischer Bjorn Ommer 40 42 0 20 Mar 2024
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 295 5,761 0 29 Apr 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,764 0 24 Feb 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,424 0 23 Jan 2020
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016