Solving inefficiency of self-supervised representation learning

Solving inefficiency of self-supervised representation learning

Bibliografiske detaljer
Main Authors:	Wang, G, Wang, K, Torr, P, Lin, L
Format:	Conference item
Sprog:	English
Udgivet:	IEEE 2022

Lignende værker

Semantic-aware auto-encoders for self-supervised representation learning
af: Wang, G, et al.
Udgivet: (2022)

Holistically-attracted wireframe parsing: from supervised to self-supervised learning.
af: Xue, N, et al.
Udgivet: (2023)

Self-supervised video representation learning
af: Han, T
Udgivet: (2022)

Grouped Contrastive Learning of Self-Supervised Sentence Representation
af: Qian Wang, et al.
Udgivet: (2023-08-01)

Self-Supervised Hypergraph Learning for Enhanced Multimodal Representation
af: Hongji Shu, et al.
Udgivet: (2024-01-01)

Heuristic Attention Representation Learning for Self-Supervised Pretraining
af: Van Nhiem Tran, et al.
Udgivet: (2022-07-01)

Self-supervised representation learning for ultrasound video
af: Jaio, J, et al.
Udgivet: (2020)

Improving self-supervision in video representation learning
af: Liu, Hualin
Udgivet: (2021)

Deep self-supervised representation learning for free-hand sketch
af: Xu, Peng, et al.
Udgivet: (2022)

Adversarial masking for self-supervised learning
af: Shi, Y, et al.
Udgivet: (2022)

Self-supervised learning for Formosan speech representation and linguistic phylogeny
af: Shu-Kai Hsieh, et al.
Udgivet: (2024-03-01)

Self-supervised video representation learning by uncovering spatio-temporal statistics
af: Wang, J, et al.
Udgivet: (2021)

Learning disentangled representations with semi-supervised deep generative models
af: Siddharth, N, et al.
Udgivet: (2018)

On pretraining data diversity for self-supervised learning
af: Hammoud, HAAK, et al.
Udgivet: (2024)

Self-supervised learning of structural representations of visual objects
af: Jakab, T
Udgivet: (2021)

Self-supervised co-training for video representation learning
af: Han, T, et al.
Udgivet: (2020)

Self-Supervised Representation Learning for Document Image Classification
af: Shoaib Ahmed Siddiqui, et al.
Udgivet: (2021-01-01)

Anomalies, representations, and self-supervision
af: Barry M. Dillon, Luigi Favaro, Friedrich Feiden, Tanmoy Modak, Tilman Plehn
Udgivet: (2024-08-01)

Self-supervised contrastive video-speech representation learning for ultrasound
af: Jiao, J, et al.
Udgivet: (2020)

Siamese Network Based Multiscale Self-Supervised Heterogeneous Graph Representation Learning
af: Zijun Chen, et al.
Udgivet: (2022-01-01)

Comparing Learning Methodologies for Self-Supervised Audio-Visual Representation Learning
af: Hacene Terbouche, et al.
Udgivet: (2022-01-01)

Applying Self-Supervised Representation Learning for Emotion Recognition Using Physiological Signals
af: Kevin G. Montero Quispe, et al.
Udgivet: (2022-11-01)

Exploring self-supervised learning biases for microscopy image representation
af: Ihab Bendidi, et al.
Udgivet: (2024-01-01)

Self-Supervised Representation Learning for Basecalling Nanopore Sequencing Data
af: Carlos Vintimilla, et al.
Udgivet: (2024-01-01)

AtmoDist: Self-supervised representation learning for atmospheric dynamics
af: Sebastian Hoffmann, et al.
Udgivet: (2023-01-01)

ViewMix: Augmentation for Robust Representation in Self-Supervised Learning
af: Arjon Das, et al.
Udgivet: (2024-01-01)

Self-Supervised Visual Representation Learning via Residual Momentum
af: Trung Xuan Pham, et al.
Udgivet: (2023-01-01)

Self-supervised audiovisual representation learning for remote sensing data
af: Konrad Heidler, et al.
Udgivet: (2023-02-01)

Self-supervised multi-task representation learning for sequential medical images
af: Dong, N, et al.
Udgivet: (2021)

Learning self-supervised molecular representations for drug–drug interaction prediction
af: Rogia Kpanou, et al.
Udgivet: (2024-01-01)

HistoSSL: Self-Supervised Representation Learning for Classifying Histopathology Images
af: Xu Jin, et al.
Udgivet: (2022-12-01)

In-Domain Supervised and Contrastive Self-Supervised Representation Learning for Dense Prediction Problems in Remote Sensing Imageries
af: Ali Ghanbarzadeh, et al.
Udgivet: (2024-01-01)

Decoupling Anomaly Discrimination and Representation Learning: Self-supervised Learning for Anomaly Detection on Attributed Graph
af: YanMing Hu, et al.
Udgivet: (2024-05-01)

Self-supervised in-domain representation learning for remote sensing image scene classification
af: Ali Ghanbarzadeh, et al.
Udgivet: (2024-10-01)

Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning
af: Hiroki Nakamura, et al.
Udgivet: (2024-01-01)

Understanding Self-Supervised Learning of Speech Representation via Invariance and Redundancy Reduction
af: Yusuf Brima, et al.
Udgivet: (2024-02-01)

Contrastive self-supervised representation learning framework for metal surface defect detection
af: Mahe Zabin, et al.
Udgivet: (2023-09-01)

Spectral Salt-and-Pepper Patch Masking for Self-Supervised Speech Representation Learning
af: June-Woo Kim, et al.
Udgivet: (2023-08-01)

Self-Supervised Action Representation Learning Based on Asymmetric Skeleton Data Augmentation
af: Hualing Zhou, et al.
Udgivet: (2022-11-01)

Self-Supervised Representation Learning for Geographical Data—A Systematic Literature Review
af: Padraig Corcoran, et al.
Udgivet: (2023-02-01)