Self Supervised
Self-supervised learning (SSL) aims to train machine learning models using unlabeled data by designing pretext tasks that encourage the model to learn useful representations. Current research focuses on improving generalization, mitigating overfitting, and developing efficient architectures like transformers and CNNs for various modalities (images, audio, point clouds, fMRI data). SSL's significance lies in its ability to leverage vast amounts of readily available unlabeled data, leading to improved performance on downstream tasks and reducing the reliance on expensive and time-consuming manual labeling, particularly impacting fields like medical imaging, speech processing, and autonomous driving.
878papers
Papers - Page 31
March 7, 2023
Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational Reasoning
Baran Hashemi, Nikolai Hartmann, Sahand Sharifzadeh, James Kahn, Thomas KuhrImproving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation
Bac Nguyen, Stefan Uhlich, Fabien CardinauxMAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors
Chen Huang, Hanlin Goh, Jiatao Gu, Josh Susskind
March 2, 2023
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation
Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael KampffmeyerUnsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning
Huiwon Jang, Hankook Lee, Jinwoo Shin
February 27, 2023
Internet Explorer: Targeted Representation Learning on the Open Web
Alexander C. Li, Ellis Brown, Alexei A. Efros, Deepak PathakA Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to TBI Phenotyping
Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian
February 24, 2023
Amortised Invariance Learning for Contrastive Self-Supervision
Ruchika Chavhan, Henry Gouk, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy HospedalesActive Velocity Estimation using Light Curtains via Self-Supervised Multi-Armed Bandits
Siddharth Ancha, Gaurav Pathak, Ji Zhang, Srinivasa Narasimhan, David Held
February 22, 2023
February 16, 2023
Learning to diagnose cirrhosis from radiological and histological labels with joint self and weakly-supervised pretraining strategies
Emma Sarfati, Alexandre Bone, Marc-Michel Rohe, Pietro Gori, Isabelle BlochSelf-supervised Guided Hypergraph Feature Propagation for Semi-supervised Classification with Missing Node Features
Chengxiang Lei, Sichao Fu, Yuetian Wang, Wenhao Qiu, Yachen Hu, Qinmu Peng, Xinge You