Contrastive and Variational Approaches in Self-Supervised Learning for Complex Data Mining
Fuente:
arXiv
Saved in:
| Main Authors: | Liang, Yingbin, Dai, Lu, Shi, Shuo, Dai, Minghao, Du, Junliang, Wang, Haige |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data
by: Shen, Aoran, et al.
Published: (2024)
by: Shen, Aoran, et al.
Published: (2024)
Near-Optimal Partially Observable Reinforcement Learning with Partial Online State Information
by: Shi, Ming, et al.
Published: (2023)
by: Shi, Ming, et al.
Published: (2023)
Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis
by: Dai, Yajiao, et al.
Published: (2025)
by: Dai, Yajiao, et al.
Published: (2025)
A Survey on Self-Supervised Learning for Non-Sequential Tabular Data
by: Wang, Wei-Yao, et al.
Published: (2024)
by: Wang, Wei-Yao, et al.
Published: (2024)
Dual Perspectives on Non-Contrastive Self-Supervised Learning
by: Ponce, Jean, et al.
Published: (2025)
by: Ponce, Jean, et al.
Published: (2025)
Self-Supervised Contrastive Learning for Long-term Forecasting
by: Park, Junwoo, et al.
Published: (2024)
by: Park, Junwoo, et al.
Published: (2024)
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least
by: Joshi, Siddharth, et al.
Published: (2023)
by: Joshi, Siddharth, et al.
Published: (2023)
Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning
by: Jian, Xiangru, et al.
Published: (2024)
by: Jian, Xiangru, et al.
Published: (2024)
Model Failure or Data Corruption? Exploring Inconsistencies in Building Energy Ratings with Self-Supervised Contrastive Learning
by: Xiao, Qian, et al.
Published: (2024)
by: Xiao, Qian, et al.
Published: (2024)
Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation Learning
by: Xie, Shifeng, et al.
Published: (2025)
by: Xie, Shifeng, et al.
Published: (2025)
CellCLAT: Preserving Topology and Trimming Redundancy in Self-Supervised Cellular Contrastive Learning
by: Qin, Bin, et al.
Published: (2025)
by: Qin, Bin, et al.
Published: (2025)
A Riemannian Approach to Ground Metric Learning for Optimal Transport
by: Jawanpuria, Pratik, et al.
Published: (2024)
by: Jawanpuria, Pratik, et al.
Published: (2024)
Variational Graph Contrastive Learning
by: Xie, Shifeng, et al.
Published: (2024)
by: Xie, Shifeng, et al.
Published: (2024)
Learning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph Pretraining
by: Ariguib, Boshra, et al.
Published: (2025)
by: Ariguib, Boshra, et al.
Published: (2025)
Contrastive Self-Supervised Learning As Neural Manifold Packing
by: Zhang, Guanming, et al.
Published: (2025)
by: Zhang, Guanming, et al.
Published: (2025)
Self-Supervised Learning for Time Series: Contrastive or Generative?
by: Liu, Ziyu, et al.
Published: (2024)
by: Liu, Ziyu, et al.
Published: (2024)
A Unified Knowledge-Distillation and Semi-Supervised Learning Framework to Improve Industrial Ads Delivery Systems
by: Eghbalzadeh, Hamid, et al.
Published: (2025)
by: Eghbalzadeh, Hamid, et al.
Published: (2025)
Why Adam Can Beat SGD: Second-Moment Normalization Yields Sharper Tails
by: Jin, Ruinan, et al.
Published: (2026)
by: Jin, Ruinan, et al.
Published: (2026)
Learning Label Hierarchy with Supervised Contrastive Learning
by: Lian, Ruixue, et al.
Published: (2024)
by: Lian, Ruixue, et al.
Published: (2024)
Integrating Distribution Matching into Semi-Supervised Contrastive Learning for Labeled and Unlabeled Data
by: Nakayama, Shogo, et al.
Published: (2026)
by: Nakayama, Shogo, et al.
Published: (2026)
Evaluating Self-Supervised Learning via Risk Decomposition
by: Dubois, Yann, et al.
Published: (2023)
by: Dubois, Yann, et al.
Published: (2023)
Data-Driven Self-Supervised Graph Representation Learning
by: Samy, Ahmed E., et al.
Published: (2024)
by: Samy, Ahmed E., et al.
Published: (2024)
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization
by: He, Junlin, et al.
Published: (2024)
by: He, Junlin, et al.
Published: (2024)
Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches
by: Feng, Yinqiu, et al.
Published: (2024)
by: Feng, Yinqiu, et al.
Published: (2024)
On the Universality of Self-Supervised Learning
by: Qiang, Wenwen, et al.
Published: (2024)
by: Qiang, Wenwen, et al.
Published: (2024)
SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning
by: Zhang, Yu, et al.
Published: (2025)
by: Zhang, Yu, et al.
Published: (2025)
Learning Efficiency Meets Symmetry Breaking
by: Bai, Yingbin, et al.
Published: (2025)
by: Bai, Yingbin, et al.
Published: (2025)
CoRe-ECG: Advancing Self-Supervised Representation Learning for 12-Lead ECG via Contrastive and Reconstructive Synergy
by: Qin, Zehao, et al.
Published: (2026)
by: Qin, Zehao, et al.
Published: (2026)
On the Properties of Feature Attribution for Supervised Contrastive Learning
by: Arrighi, Leonardo, et al.
Published: (2026)
by: Arrighi, Leonardo, et al.
Published: (2026)
Agentic Transformers Provably Learn to Search via Reinforcement Learning
by: Yang, Tong, et al.
Published: (2026)
by: Yang, Tong, et al.
Published: (2026)
UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning
by: Feng, Shikun, et al.
Published: (2024)
by: Feng, Shikun, et al.
Published: (2024)
Theory on Mixture-of-Experts in Continual Learning
by: Li, Hongbo, et al.
Published: (2024)
by: Li, Hongbo, et al.
Published: (2024)
Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training
by: Dave, Vedant, et al.
Published: (2024)
by: Dave, Vedant, et al.
Published: (2024)
FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction
by: Cheong, Jiaee, et al.
Published: (2025)
by: Cheong, Jiaee, et al.
Published: (2025)
Learnable Chernoff Baselines for Inference-Time Alignment
by: Madhow, Sunil, et al.
Published: (2026)
by: Madhow, Sunil, et al.
Published: (2026)
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data
by: Wang, Zhenzhong, et al.
Published: (2024)
by: Wang, Zhenzhong, et al.
Published: (2024)
Enhancing Adversarial Robustness of Deep Neural Networks Through Supervised Contrastive Learning
by: Wang, Longwei, et al.
Published: (2024)
by: Wang, Longwei, et al.
Published: (2024)
Information-Theoretic Greedy Layer-wise Training for Traffic Sign Recognition
by: Lyu, Shuyan, et al.
Published: (2025)
by: Lyu, Shuyan, et al.
Published: (2025)
Learning Representations in Video Game Agents with Supervised Contrastive Imitation Learning
by: Celemin, Carlos, et al.
Published: (2025)
by: Celemin, Carlos, et al.
Published: (2025)
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network
by: Song, Yumeng, et al.
Published: (2023)
by: Song, Yumeng, et al.
Published: (2023)
Similar Items
-
Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data
by: Shen, Aoran, et al.
Published: (2024) -
Near-Optimal Partially Observable Reinforcement Learning with Partial Online State Information
by: Shi, Ming, et al.
Published: (2023) -
Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis
by: Dai, Yajiao, et al.
Published: (2025) -
A Survey on Self-Supervised Learning for Non-Sequential Tabular Data
by: Wang, Wei-Yao, et al.
Published: (2024) -
Dual Perspectives on Non-Contrastive Self-Supervised Learning
by: Ponce, Jean, et al.
Published: (2025)