Variational Positive-incentive Noise: How Noise Benefits Models

13 June 2023

Papers citing "Variational Positive-incentive Noise: How Noise Benefits Models"

26 / 26 papers shown

Title
Learn Beneficial Noise as Graph Augmentation Siqi Huang Yanchen Xu Hongyuan Zhang Xuelong Li 14 1 0 25 May 2025
AnchorFormer: Differentiable Anchor Attention for Efficient Vision Transformer Jiquan Shan Junxiao Wang Lifeng Zhao Liang Cai Hongyuan Zhang Ioannis Liritzis ViT 138 0 0 22 May 2025
Adv-CPG: A Customized Portrait Generation Framework with Facial Adversarial Attacks Junying Wang Hongyuan Zhang Yuan Yuan AAML PICV 106 2 0 11 Mar 2025
Enhance Vision-Language Alignment with Noise Sida Huang Hongyuan Zhang Xuelong Li VLM 114 3 0 14 Dec 2024
Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise Hongyuan Zhang Yanchen Xu Sida Huang Xuelong Li 35 6 0 19 Aug 2024
Data-Centric Long-Tailed Image Recognition Yanbiao Ma Licheng Jiao Fang Liu Shuyuan Yang Xu Liu Puhua Chen 89 1 0 03 Nov 2023
FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling Haonan Qiu Menghan Xia Yong Zhang Yin-Yin He Xintao Wang Ying Shan Ziwei Liu DiffM VGen 29 95 0 23 Oct 2023
NoisyNN: Exploring the Influence of Information Entropy Change in Learning Systems Xiao-Xing Yu Zhe Huang Yao Xue Lu Zhang Li Wang Tianming Liu Dajiang Zhu 47 6 0 19 Sep 2023
Positive-incentive Noise Xuelong Li 31 34 0 19 Dec 2022
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 681 28,659 0 26 Feb 2021
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 130 231 0 24 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 400 40,217 0 22 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 299 17,550 0 19 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 212 10,591 0 17 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 255 18,607 0 13 Feb 2020
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 134 1,931 0 06 Jun 2019
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 231 10,152 0 10 Jul 2018
One pixel attack for fooling deep neural networks Jiawei Su Danilo Vasconcellos Vargas Kouichi Sakurai AAML 99 2,315 0 24 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 170 8,807 0 25 Aug 2017
Learning Discrete Representations via Information Maximizing Self-Augmented Training Weihua Hu Takeru Miyato Seiya Tokui Eiichi Matsumoto Masashi Sugiyama 64 446 0 28 Feb 2017
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 83 1,697 0 01 Dec 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Distributional Smoothing with Virtual Adversarial Training Takeru Miyato S. Maeda Masanori Koyama Ken Nakae S. Ishii 82 458 0 02 Jul 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 176 18,922 0 20 Dec 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.1K 39,383 0 01 Sep 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 185 14,831 1 21 Dec 2013