Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration
Fuente:
arXiv
Saved in:
| Main Authors: | Guo, Huijie, Wang, Jingyao, Guo, Peizheng, Shen, Xingchen, Zheng, Changwen, Qiang, Wenwen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Task Sampler Learning for Meta-Learning
by: Wang, Jingyao, et al.
Published: (2023)
by: Wang, Jingyao, et al.
Published: (2023)
Rethinking Meta-Learning from a Learning Lens
by: Wang, Jingyao, et al.
Published: (2024)
by: Wang, Jingyao, et al.
Published: (2024)
Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition
by: Wang, Jingyao, et al.
Published: (2024)
by: Wang, Jingyao, et al.
Published: (2024)
On the Generalization and Causal Explanation in Self-Supervised Learning
by: Qiang, Wenwen, et al.
Published: (2024)
by: Qiang, Wenwen, et al.
Published: (2024)
AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design Anywhere
by: Wang, Jingyao, et al.
Published: (2023)
by: Wang, Jingyao, et al.
Published: (2023)
Causal Prompt Calibration Guided Segment Anything Model for Open-Vocabulary Multi-Entity Segmentation
by: Wang, Jingyao, et al.
Published: (2025)
by: Wang, Jingyao, et al.
Published: (2025)
On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation
by: Qiang, Wenwen, et al.
Published: (2025)
by: Qiang, Wenwen, et al.
Published: (2025)
On the Discriminability of Self-Supervised Representation Learning
by: Song, Zeen, et al.
Published: (2024)
by: Song, Zeen, et al.
Published: (2024)
Image-based Freeform Handwriting Authentication with Energy-oriented Self-Supervised Learning
by: Wang, Jingyao, et al.
Published: (2024)
by: Wang, Jingyao, et al.
Published: (2024)
Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective
by: Song, Zeen, et al.
Published: (2024)
by: Song, Zeen, et al.
Published: (2024)
Self-Supervised Representation Learning with Meta Comprehensive Regularization
by: Guo, Huijie, et al.
Published: (2024)
by: Guo, Huijie, et al.
Published: (2024)
Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning
by: Wang, Jingyao, et al.
Published: (2026)
by: Wang, Jingyao, et al.
Published: (2026)
Meta-Auxiliary Learning for Micro-Expression Recognition
by: Wang, Jingyao, et al.
Published: (2024)
by: Wang, Jingyao, et al.
Published: (2024)
Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image Editing
by: Chen, Siyi, et al.
Published: (2024)
by: Chen, Siyi, et al.
Published: (2024)
Explicit Mutual Information Maximization for Self-Supervised Learning
by: Chang, Lele, et al.
Published: (2024)
by: Chang, Lele, et al.
Published: (2024)
Rethinking Multi-Modal Learning from Gradient Uncertainty
by: Guo, Peizheng, et al.
Published: (2025)
by: Guo, Peizheng, et al.
Published: (2025)
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer
by: Rojas-Gomez, Renan A., et al.
Published: (2023)
by: Rojas-Gomez, Renan A., et al.
Published: (2023)
Weak Augmentation Guided Relational Self-Supervised Learning
by: Zheng, Mingkai, et al.
Published: (2022)
by: Zheng, Mingkai, et al.
Published: (2022)
On the Out-of-Distribution Generalization of Self-Supervised Learning
by: Qiang, Wenwen, et al.
Published: (2025)
by: Qiang, Wenwen, et al.
Published: (2025)
On the Universality of Self-Supervised Learning
by: Qiang, Wenwen, et al.
Published: (2024)
by: Qiang, Wenwen, et al.
Published: (2024)
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks
by: Cui, Wei, et al.
Published: (2025)
by: Cui, Wei, et al.
Published: (2025)
Rethinking The Uniformity Metric in Self-Supervised Learning
by: Fang, Xianghong, et al.
Published: (2024)
by: Fang, Xianghong, et al.
Published: (2024)
Multi-instance Learning as Downstream Task of Self-Supervised Learning-based Pre-trained Model
by: Matsuishi, Koki, et al.
Published: (2025)
by: Matsuishi, Koki, et al.
Published: (2025)
AdaMerging: Adaptive Model Merging for Multi-Task Learning
by: Yang, Enneng, et al.
Published: (2023)
by: Yang, Enneng, et al.
Published: (2023)
Sampling Control for Imbalanced Calibration in Semi-Supervised Learning
by: Tian, Senmao, et al.
Published: (2025)
by: Tian, Senmao, et al.
Published: (2025)
CG-CNN: Self-Supervised Feature Extraction Through Contextual Guidance and Transfer Learning
by: Kursun, Olcay, et al.
Published: (2021)
by: Kursun, Olcay, et al.
Published: (2021)
Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning
by: Patel, Gaurav, et al.
Published: (2025)
by: Patel, Gaurav, et al.
Published: (2025)
Domain Independent SVM for Transfer Learning in Brain Decoding
by: Zhou, Shuo, et al.
Published: (2019)
by: Zhou, Shuo, et al.
Published: (2019)
The Emergence of Reproducibility and Generalizability in Diffusion Models
by: Zhang, Huijie, et al.
Published: (2023)
by: Zhang, Huijie, et al.
Published: (2023)
Cross-Modal Few-Shot Learning: a Generative Transfer Learning Framework
by: Yang, Zhengwei, et al.
Published: (2024)
by: Yang, Zhengwei, et al.
Published: (2024)
Variational Self-Supervised Learning
by: Yavuz, Mehmet Can, et al.
Published: (2025)
by: Yavuz, Mehmet Can, et al.
Published: (2025)
Multimodal Learning on Low-Quality Data with Conformal Predictive Self-Calibration
by: Jiang, Xun, et al.
Published: (2026)
by: Jiang, Xun, et al.
Published: (2026)
SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets
by: Kaczmarek, Emily, et al.
Published: (2025)
by: Kaczmarek, Emily, et al.
Published: (2025)
Transfer Learning with Self-Supervised Vision Transformers for Snake Identification
by: Miyaguchi, Anthony, et al.
Published: (2024)
by: Miyaguchi, Anthony, et al.
Published: (2024)
Self-Supervised Learning by Curvature Alignment
by: Ghojogh, Benyamin, et al.
Published: (2025)
by: Ghojogh, Benyamin, et al.
Published: (2025)
M3Ret: Unleashing Zero-shot Multimodal Medical Image Retrieval via Self-Supervision
by: Liu, Che, et al.
Published: (2025)
by: Liu, Che, et al.
Published: (2025)
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
by: Liang, Jiachen, et al.
Published: (2024)
by: Liang, Jiachen, et al.
Published: (2024)
Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization
by: Wang, Jiayun, et al.
Published: (2024)
by: Wang, Jiayun, et al.
Published: (2024)
Self-Distillation of Hidden Layers for Self-Supervised Representation Learning
by: Lowe, Scott C., et al.
Published: (2026)
by: Lowe, Scott C., et al.
Published: (2026)
Residual Denoising Diffusion Models
by: Liu, Jiawei, et al.
Published: (2023)
by: Liu, Jiawei, et al.
Published: (2023)
Similar Items
-
Towards Task Sampler Learning for Meta-Learning
by: Wang, Jingyao, et al.
Published: (2023) -
Rethinking Meta-Learning from a Learning Lens
by: Wang, Jingyao, et al.
Published: (2024) -
Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition
by: Wang, Jingyao, et al.
Published: (2024) -
On the Generalization and Causal Explanation in Self-Supervised Learning
by: Qiang, Wenwen, et al.
Published: (2024) -
AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design Anywhere
by: Wang, Jingyao, et al.
Published: (2023)