Can Generative Models Improve Self-Supervised Representation Learning?
Fuente:
arXiv
Guardado en:
| Autores principales: | Ayromlou, Sana, Khazaie, Vahid Reza, Forghani, Fereshteh, Afkanpour, Arash |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning
por: Roy, Shuvendu, et al.
Publicado: (2024)
por: Roy, Shuvendu, et al.
Publicado: (2024)
Advancing Medical Representation Learning Through High-Quality Data
por: Baghbanzadeh, Negin, et al.
Publicado: (2025)
por: Baghbanzadeh, Negin, et al.
Publicado: (2025)
CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning
por: Ayromlou, Sana, et al.
Publicado: (2024)
por: Ayromlou, Sana, et al.
Publicado: (2024)
On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning
por: Cao, Yun-Hao, et al.
Publicado: (2024)
por: Cao, Yun-Hao, et al.
Publicado: (2024)
Self-Distillation of Hidden Layers for Self-Supervised Representation Learning
por: Lowe, Scott C., et al.
Publicado: (2026)
por: Lowe, Scott C., et al.
Publicado: (2026)
Seeing the Whole in the Parts in Self-Supervised Representation Learning
por: Aubret, Arthur, et al.
Publicado: (2025)
por: Aubret, Arthur, et al.
Publicado: (2025)
Semantic Concentration for Self-Supervised Dense Representations Learning
por: Wen, Peisong, et al.
Publicado: (2025)
por: Wen, Peisong, et al.
Publicado: (2025)
Bias in the Picture: Benchmarking VLMs with Social-Cue News Images and LLM-as-Judge Assessment
por: Narayanan, Aravind, et al.
Publicado: (2025)
por: Narayanan, Aravind, et al.
Publicado: (2025)
Federated Impression for Learning with Distributed Heterogeneous Data
por: Arya, Atrin, et al.
Publicado: (2024)
por: Arya, Atrin, et al.
Publicado: (2024)
Pseudo-label Refinement for Improving Self-Supervised Learning Systems
por: Zia-ur-Rehman, et al.
Publicado: (2024)
por: Zia-ur-Rehman, et al.
Publicado: (2024)
ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning
por: Banerjee, Soumya, et al.
Publicado: (2025)
por: Banerjee, Soumya, et al.
Publicado: (2025)
On the Generalization and Causal Explanation in Self-Supervised Learning
por: Qiang, Wenwen, et al.
Publicado: (2024)
por: Qiang, Wenwen, et al.
Publicado: (2024)
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
por: Liang, Jiachen, et al.
Publicado: (2024)
por: Liang, Jiachen, et al.
Publicado: (2024)
A Shared Encoder Approach to Multimodal Representation Learning
por: Roy, Shuvendu, et al.
Publicado: (2025)
por: Roy, Shuvendu, et al.
Publicado: (2025)
Zero-Shot Cross-City Generalization in End-to-End Autonomous Driving: Self-Supervised versus Supervised Representations
por: Naeinian, Fatemeh, et al.
Publicado: (2026)
por: Naeinian, Fatemeh, et al.
Publicado: (2026)
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
por: Simoncini, Walter, et al.
Publicado: (2024)
por: Simoncini, Walter, et al.
Publicado: (2024)
S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual Representation Learning
por: Manová, Alžběta, et al.
Publicado: (2023)
por: Manová, Alžběta, et al.
Publicado: (2023)
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks
por: Cui, Wei, et al.
Publicado: (2025)
por: Cui, Wei, et al.
Publicado: (2025)
IConE: Batch Independent Collapse Prevention for Self-Supervised Representation Learning
por: Almpanakis, Konstantinos, et al.
Publicado: (2026)
por: Almpanakis, Konstantinos, et al.
Publicado: (2026)
Extracting Symbolic Sequences from Visual Representations via Self-Supervised Learning
por: Pozos, Victor Sebastian Martinez, et al.
Publicado: (2025)
por: Pozos, Victor Sebastian Martinez, et al.
Publicado: (2025)
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
por: Bai, Lichen, et al.
Publicado: (2024)
por: Bai, Lichen, et al.
Publicado: (2024)
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations
por: Addepalli, Sravanti, et al.
Publicado: (2024)
por: Addepalli, Sravanti, et al.
Publicado: (2024)
Diffusion-Based Representation Learning
por: Mittal, Sarthak, et al.
Publicado: (2021)
por: Mittal, Sarthak, et al.
Publicado: (2021)
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
por: Chen, Xinlei, et al.
Publicado: (2024)
por: Chen, Xinlei, et al.
Publicado: (2024)
Revisiting Supervision for Continual Representation Learning
por: Marczak, Daniel, et al.
Publicado: (2023)
por: Marczak, Daniel, et al.
Publicado: (2023)
Variational Self-Supervised Learning
por: Yavuz, Mehmet Can, et al.
Publicado: (2025)
por: Yavuz, Mehmet Can, et al.
Publicado: (2025)
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation
por: Pourmirzaei, Mahdi, et al.
Publicado: (2021)
por: Pourmirzaei, Mahdi, et al.
Publicado: (2021)
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features
por: Ntelemis, Foivos, et al.
Publicado: (2022)
por: Ntelemis, Foivos, et al.
Publicado: (2022)
Self-Supervised Learning by Curvature Alignment
por: Ghojogh, Benyamin, et al.
Publicado: (2025)
por: Ghojogh, Benyamin, et al.
Publicado: (2025)
GUESS: Generative Uncertainty Ensemble for Self Supervision
por: Mohamadi, Salman, et al.
Publicado: (2024)
por: Mohamadi, Salman, et al.
Publicado: (2024)
In-Context Symmetries: Self-Supervised Learning through Contextual World Models
por: Gupta, Sharut, et al.
Publicado: (2024)
por: Gupta, Sharut, et al.
Publicado: (2024)
Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models
por: Saporta, Antoine, et al.
Publicado: (2026)
por: Saporta, Antoine, et al.
Publicado: (2026)
DOS: Distilling Observable Softmaps of Zipfian Prototypes for Self-Supervised Point Representation
por: Abdelsamad, Mohamed, et al.
Publicado: (2025)
por: Abdelsamad, Mohamed, et al.
Publicado: (2025)
Supervised Contrastive Frame Aggregation for Video Representation Learning
por: Chowdhury, Shaif, et al.
Publicado: (2025)
por: Chowdhury, Shaif, et al.
Publicado: (2025)
Open-PMC-18M: A High-Fidelity Large Scale Medical Dataset for Multimodal Representation Learning
por: Baghbanzadeh, Negin, et al.
Publicado: (2025)
por: Baghbanzadeh, Negin, et al.
Publicado: (2025)
Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation
por: Anvari, Mohammad Akhavan, et al.
Publicado: (2024)
por: Anvari, Mohammad Akhavan, et al.
Publicado: (2024)
Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles
por: Peng, Shuman, et al.
Publicado: (2024)
por: Peng, Shuman, et al.
Publicado: (2024)
Self-Supervised Learning Using Nonlinear Dependence
por: Sepanj, M. Hadi, et al.
Publicado: (2025)
por: Sepanj, M. Hadi, et al.
Publicado: (2025)
LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation
por: Raval, Ananya, et al.
Publicado: (2025)
por: Raval, Ananya, et al.
Publicado: (2025)
Multi-instance Learning as Downstream Task of Self-Supervised Learning-based Pre-trained Model
por: Matsuishi, Koki, et al.
Publicado: (2025)
por: Matsuishi, Koki, et al.
Publicado: (2025)
Ejemplares similares
-
Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning
por: Roy, Shuvendu, et al.
Publicado: (2024) -
Advancing Medical Representation Learning Through High-Quality Data
por: Baghbanzadeh, Negin, et al.
Publicado: (2025) -
CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning
por: Ayromlou, Sana, et al.
Publicado: (2024) -
On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning
por: Cao, Yun-Hao, et al.
Publicado: (2024) -
Self-Distillation of Hidden Layers for Self-Supervised Representation Learning
por: Lowe, Scott C., et al.
Publicado: (2026)