Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules

7 October 2022

Papers citing "Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules"

33 / 33 papers shown

Title
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules Kazuki Irie Francesco Faccio Jürgen Schmidhuber AI4TS 53 11 0 03 Jun 2022
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention Kazuki Irie Róbert Csordás Jürgen Schmidhuber 48 44 0 11 Feb 2022
A Modern Self-Referential Weight Matrix That Learns to Modify Itself Kazuki Irie Imanol Schlag Róbert Csordás Jürgen Schmidhuber 32 27 0 11 Feb 2022
Training and Generating Neural Networks in Compressed Weight Space Kazuki Irie Jürgen Schmidhuber 37 4 0 31 Dec 2021
Alias-Free Generative Adversarial Networks Tero Karras M. Aittala S. Laine Erik Härkönen Janne Hellsten J. Lehtinen Timo Aila GAN 162 1,591 0 23 Jun 2021
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers Kazuki Irie Imanol Schlag Róbert Csordás Jürgen Schmidhuber 58 62 0 11 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 178 7,765 0 11 May 2021
Random Feature Attention Hao Peng Nikolaos Pappas Dani Yogatama Roy Schwartz Noah A. Smith Lingpeng Kong 80 356 0 03 Mar 2021
Linear Transformers Are Secretly Fast Weight Programmers Imanol Schlag Kazuki Irie Jürgen Schmidhuber 96 245 0 22 Feb 2021
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis Bingchen Liu Yizhe Zhu Kunpeng Song Ahmed Elgammal 216 239 0 12 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 292 6,409 0 26 Nov 2020
Learning Associative Inference Using Fast Weight Memory Imanol Schlag Tsendsuren Munkhdalai Jürgen Schmidhuber KELM 45 47 0 16 Nov 2020
Rethinking Attention with Performers K. Choromanski Valerii Likhosherstov David Dohan Xingyou Song Andreea Gane ... Afroz Mohiuddin Lukasz Kaiser David Belanger Lucy J. Colwell Adrian Weller 167 1,570 0 30 Sep 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention Angelos Katharopoulos Apoorv Vyas Nikolaos Pappas Franccois Fleuret 166 1,759 0 29 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 490 17,888 0 19 Jun 2020
Differentiable Augmentation for Data-Efficient GAN Training Shengyu Zhao Zhijian Liu Ji Lin Jun-Yan Zhu Song Han 87 604 0 18 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 127 1,882 0 11 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 326 10,591 0 17 Feb 2020
StarGAN v2: Diverse Image Synthesis for Multiple Domains Yunjey Choi Youngjung Uh Jaejun Yoo Jung-Woo Ha 3DH 103 1,742 0 04 Dec 2019
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 260 5,797 0 03 Dec 2019
High Fidelity Speech Synthesis with Adversarial Networks Mikolaj Binkowski Jeff Donahue Sander Dieleman Aidan Clark Erich Elsen Norman Casagrande Luis C. Cobo Karen Simonyan 274 240 0 25 Sep 2019
Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991) J. Schmidhuber GAN DRL 70 57 0 11 Jun 2019
Training language GANs from Scratch Cyprien de Masson dÁutume Mihaela Rosca Jack W. Rae S. Mohamed GAN SyDa 35 87 0 23 May 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 529 10,540 0 12 Dec 2018
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 118 7,339 0 27 Oct 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 636 130,942 0 12 Jun 2017
Geometric GAN Jae Hyun Lim J. C. Ye GAN 64 518 0 08 May 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications Tim Salimans A. Karpathy Xi Chen Diederik P. Kingma 83 939 0 19 Jan 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 339 7,316 0 13 Jun 2016
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop Feng Yu Ari Seff Yinda Zhang Shuran Song Thomas Funkhouser Jianxiong Xiao 67 2,331 0 10 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.6K 76,917 0 18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 255 6,887 0 12 Mar 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 224 8,391 0 28 Nov 2014