Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation

4 June 2022

Papers citing "Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation"

7 / 7 papers shown

Title
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers Haoyang Liu Aditya Singh Yijiang Li Haohan Wang AAML ViT 36 1 0 15 Mar 2024
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 23 10 0 29 Sep 2022
Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning Chonghan Chen Haohan Wang Leyang Hu Yuhao Zhang Shuguang Lyu Jingcheng Wu Xinnuo Li Linjing Sun Eric P. Xing VLM 19 0 0 18 Jul 2022
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features Haohan Wang Zeyi Huang Hanlin Zhang Yong Jae Lee Eric P. Xing OOD 132 16 0 05 Nov 2021
On Data-Augmentation and Consistency-Based Semi-Supervised Learning Atin Ghosh Alexandre Hoang Thiery 73 20 0 18 Jan 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Yin Cui A. Srinivas Rui Qian Tsung-Yi Lin E. D. Cubuk Quoc V. Le Barret Zoph ISeg 252 968 0 13 Dec 2020
On the Origin of Deep Learning Haohan Wang Bhiksha Raj MedIm 3DV VLM 48 223 0 24 Feb 2017