BEND: Bagging Deep Learning Training Based on Efficient Neural Network
Diffusion

BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion

23 March 2024

Witold Pedrycz

Papers citing "BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion"

8 / 8 papers shown

Title
Sora as an AGI World Model? A Complete Survey on Text-to-Video Generation Joseph Cho Fachrina Dewi Puspitasari Sheng Zheng Jingyao Zheng Lik-Hang Lee Tae-Ho Kim Choong Seon Hong Chaoning Zhang EGVM VGen 51 42 0 08 Mar 2024
Is synthetic data from generative models ready for image recognition? Ruifei He Shuyang Sun Xin Yu Chuhui Xue Wenqing Zhang Philip Torr Song Bai Xiaojuan Qi 69 294 0 14 Oct 2022
Analyzing Bagging Methods for Language Models Pranab Islam Shaan Khosla Arthur Lok Mudit Saxena UQCV MoE ELM 32 1 0 19 Jul 2022
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 195 3,531 0 20 Dec 2021
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort Yuxuan Zhang Huan Ling Jun Gao K. Yin Jean-Francois Lafleche Adela Barriuso Antonio Torralba Sanja Fidler 3DH GAN VLM 27 333 0 13 Apr 2021
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering Yuxuan Zhang Wenzheng Chen Huan Ling Jun Gao Yinan Zhang Antonio Torralba Sanja Fidler DRL 109 139 0 18 Oct 2020
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 86 6,619 0 22 Dec 2012
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 356 7,650 0 03 Jul 2012