Robust Representation Learning

Robust representation learning aims to create feature representations that are resilient to noise, distribution shifts, and adversarial attacks, enabling more reliable and generalizable machine learning models. Current research focuses on developing methods that leverage contrastive learning, autoencoders, and vision transformers, often incorporating techniques like adversarial training, curriculum learning, and data augmentation to enhance robustness. These advancements are crucial for improving the performance and reliability of machine learning systems across various applications, particularly in domains with noisy or incomplete data, such as medical imaging, remote sensing, and social media analysis. The resulting robust representations are vital for building more trustworthy and dependable AI systems.

Papers

October 15, 2024

Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning
Guangxin Su, Yifan Zhu, Wenjie Zhang, Hanchen Wang, Ying Zhang
Large Language Model Graph Representation Learning Graph Structure Learning Robust Representation Learning Informative Latent Representation

October 13, 2024

Learning Robust Representations for Communications over Interference-limited Channels
Shubham Paul, Sudharsan Senthil, Preethi Seshadri, Nambi Seshadri, R David Koilpillai
Supervised Autoencoder Timely Communication Cellular Network Robust Representation Learning Interference Channel Constrained Channel

September 20, 2024

LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion
Meenakshi Subhash Chippa, Prakash Chandra Chhipa, Kanjar De, Marcus Liwicki, Rajkumar Saini
Robust Representation Learning Camera Parameter Perspective Distortion Conformal Mapping M\"obius Transform

September 2, 2024

Learning Robust Representations for Communications over Noisy Channels
Sudharsan Senthil, Shubham Paul, Nambi Seshadri, R. David Koilpillai
Neural Network Deep Learning Timely Communication Robust Representation Learning Noisy Channel Structure Encoder

July 12, 2024

URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering
Ge Teng, Ting Mao, Chen Shen, Xiang Tian, Xuesong Liu, Yaowu Chen, Jieping Ye
Multi View Clustering Robust Representation Learning Uncertainty Induced Incomplete Incomplete Multi View Incomplete Multi View Clustering Unified Embedding

December 13, 2023

ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance
Ling-Hao Chen, Yuanshuo Zhang, Taohua Huang, Liangcai Su, Zeyi Lin, Xi Xiao, Xiaobo Xia, Tongliang Liu
Graph Drawing Label Noise Robust Representation Label Propagation Robust Representation Learning

November 30, 2023

Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
Yuli Slavutsky, Yuval Benjamini
Robust Representation Robust Representation Learning Class Distribution Class Distribution Shift

October 25, 2023

Learning Robust Deep Visual Representations from EEG Brain Recordings
Prajwal Singh, Dwip Dalal, Gautam Vashishtha, Krishna Miyapuram, Shanmuganathan Raman
Zero Shot Brain Electroencephalography EEG Data Robust Representation Learning EEG Feature

October 24, 2023

Robust Representation Learning for Unified Online Top-K Recommendation
Minfang Lu, Yuchen Jiang, Huihui Dong, Qi Li, Ziru Xu, Yuanlin Liu, Lixia Wu, Haoyuan Hu, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng
Robust Representation Robust Representation Learning Nested Entity Top N Recommendation Domain Matching

October 5, 2023

Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion Criteria
Nuoyan Zhou, Nannan Wang, Decheng Liu, Dawei Zhou, Xinbo Gao
Adversarial Example Adversarial Training Adversarial Robustness Alignment Problem Robust Representation Adversarial Noise Robust Representation Learning Eligibility Criterion

September 8, 2023

Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach
Sofiane Ouaari, Ali Burak Ünal, Mete Akgün, Nico Pfeifer
Machine Learning Differential Privacy Homomorphic Encryption Privacy Preserving Machine Learning Robust Representation Learning Privacy Utility Trade

August 31, 2023

Robust Representation Learning for Unreliable Partial Label Learning
Yu Shi, Dong-Dong Wu, Xin Geng, Min-Ling Zhang
Pseudo Label Partial Label Learning Robust Representation Learning Robust Contrastive Learning

August 28, 2023

Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization
Aristotelis Ballas, Christos Diou
Contrastive Learning Deep Convolutional Neural Network Domain Generalization Robust Representation Learning Domain Generalization Datasets

June 14, 2023

Label Noise Robust Image Representation Learning based on Supervised Variational Autoencoders in Remote Sensing
Gencer Sumbul, Begüm Demir
Remote Sensing Robust Representation Learning Noise Representation

May 30, 2023

Contextual Vision Transformers for Robust Representation Learning
Yujia Bao, Theofanis Karaletsos
Context Learning Robust Representation Learning

May 23, 2023

Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering
Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao
Optimal Transport Pseudo Label Robust Representation Robust Representation Learning Short Text Clustering

February 14, 2023

Robust Representation Learning with Self-Distillation for Domain Generalization
Ankur Singh, Senthilnath Jayavelu
Vision Transformer Domain Generalization Self Distillation Robust Representation Learning

February 12, 2023

Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions
Qiyuan Liu, Qi Zhou, Rui Yang, Jie Wang
Representation Learning Visual Reinforcement Learning Sample Efficient Reinforcement Learning Robust Representation Learning Bisimulation Metric Distraction Level Behavioral Similarity

December 2, 2022

Generative Reasoning Integrated Label Noise Robust Deep Image Representation Learning
Gencer Sumbul, Begüm Demir
Visual Representation Learning Discriminative Representation Robust Representation Learning Generative Interpretation Annotated Training Image

October 27, 2022

Disentangled and Robust Representation Learning for Bragging Classification in Social Media
Xiang Li, Yucheng Zhou
Classification Code Social Medium Domain Adversarial Model Learning Robust Representation Learning

Robust Representation Learning

Papers

Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning

Learning Robust Representations for Communications over Interference-limited Channels

LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion

Learning Robust Representations for Communications over Noisy Channels

URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering

ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance

Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations

Learning Robust Deep Visual Representations from EEG Brain Recordings

Robust Representation Learning for Unified Online Top-K Recommendation

Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion Criteria

Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach

Robust Representation Learning for Unreliable Partial Label Learning

Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization

Label Noise Robust Image Representation Learning based on Supervised Variational Autoencoders in Remote Sensing

Contextual Vision Transformers for Robust Representation Learning

Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering

Robust Representation Learning with Self-Distillation for Domain Generalization

Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions

Generative Reasoning Integrated Label Noise Robust Deep Image Representation Learning

Disentangled and Robust Representation Learning for Bragging Classification in Social Media