Cover Image

Robust Representation Learning in Masked Autoencoders

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shrivastava, Anika, Rameshan, Renu, Agnihotri, Samar
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Latent Space Characterization of Autoencoder Variants
by: Shrivastava, Anika, et al.
Published: (2024)

Lossless Image Compression Using Multi-level Dictionaries: Binary Images
by: Agnihotri, Samar, et al.
Published: (2024)

G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System
by: Garg, Aryan, et al.
Published: (2022)

Masked Autoencoders for Ultrasound Signals: Robust Representation Learning for Downstream Applications
by: Roßteutscher, Immanuel, et al.
Published: (2025)

SARMAE: Masked Autoencoder for SAR Representation Learning
by: Liu, Danxu, et al.
Published: (2025)

Attention-Guided Masked Autoencoders For Learning Image Representations
by: Sick, Leon, et al.
Published: (2024)

MTS-DMAE: Dual-Masked Autoencoder for Unsupervised Multivariate Time Series Representation Learning
by: Xu, Yi, et al.
Published: (2025)

Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization
by: Guo, Han, et al.
Published: (2024)

TerraMAE: Learning Spatial-Spectral Representations from Hyperspectral Earth Observation Data via Adaptive Masked Autoencoders
by: Faruk, Tanjim Bin, et al.
Published: (2025)

Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder
by: Sun, Tao, et al.
Published: (2023)

i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable?
by: Zhang, Kevin, et al.
Published: (2022)

Structure is Supervision: Multiview Masked Autoencoders for Radiology
by: Laguna, Sonia, et al.
Published: (2025)

Simulation of a Vision Correction Display System
by: Sunil, Vidya, et al.
Published: (2024)

CL-MAE: Curriculum-Learned Masked Autoencoders
by: Madan, Neelu, et al.
Published: (2023)

Sparse Autoencoders for Interpretable Medical Image Representation Learning
by: Wesp, Philipp, et al.
Published: (2026)

Mixed Autoencoder for Self-supervised Visual Representation Learning
by: Chen, Kai, et al.
Published: (2023)

Diffusion Transformers with Representation Autoencoders
by: Zheng, Boyang, et al.
Published: (2025)

SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
by: Liang, Feng, et al.
Published: (2022)

DailyMAE: Towards Pretraining Masked Autoencoders in One Day
by: Wu, Jiantao, et al.
Published: (2024)

EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
by: Hwang, Sunil, et al.
Published: (2022)

Lightweight Metadata-Aware Mixture-of-Experts Masked Autoencoder for Earth Observation
by: Albughdadi, Mohanad
Published: (2025)

Contrastive Masked Autoencoders for Character-Level Open-Set Writer Identification
by: Jiang, Xiaowei, et al.
Published: (2025)

From Semantics to Pixels: Coarse-to-Fine Masked Autoencoders for Hierarchical Visual Understanding
by: Xiang, Wenzhao, et al.
Published: (2026)

PaCX-MAE: Physiology-Augmented Chest X-Ray Masked Autoencoder
by: Liu, Yancheng, et al.
Published: (2026)

Beyond Independent Frames: Latent Attention Masked Autoencoders for Multi-View Echocardiography
by: Böhi, Simon, et al.
Published: (2026)

RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo
by: Oei, Victor, et al.
Published: (2025)

Video Decomposition Prior: A Methodology to Decompose Videos into Layers
by: Shrivastava, Gaurav, et al.
Published: (2024)

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks
by: Kleinmann, Marcel, et al.
Published: (2025)

HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss
by: Matin, Abdul, et al.
Published: (2025)

Masked Autoencoders Are Effective Tokenizers for Diffusion Models
by: Chen, Hao, et al.
Published: (2025)

MMP: Towards Robust Multi-Modal Learning with Masked Modality Projection
by: Nezakati, Niki, et al.
Published: (2024)

Probing the Representational Power of Sparse Autoencoders in Vision Models
by: Olson, Matthew Lyle, et al.
Published: (2025)

ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning
by: Pham, Chau, et al.
Published: (2025)

Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology
by: Kraus, Oren, et al.
Published: (2024)

Beer-Lambert Autoencoder for Unsupervised Stain Representation Learning and Deconvolution in Multi-immunohistochemical Brightfield Histology Images
by: Eastwood, Mark, et al.
Published: (2026)

SPDMark: Selective Parameter Displacement for Robust Video Watermarking
by: Fares, Samar, et al.
Published: (2025)

SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection
by: Ahishali, Mete, et al.
Published: (2022)

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction
by: Shrivastava, Gaurav, et al.
Published: (2024)

Beware of Aliases -- Signal Preservation is Crucial for Robust Image Restoration
by: Agnihotri, Shashank, et al.
Published: (2024)

Enhancing Adversarial Robustness through Multi-Objective Representation Learning
by: Hotegni, Sedjro Salomon, et al.
Published: (2024)