Cover Image

Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Doucet, Paul, Estermann, Benjamin, Aczel, Till, Wattenhofer, Roger
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SUPClust: Active Learning at the Boundaries
by: Ono, Yuta, et al.
Published: (2024)

The Impact of Scaling Training Data on Adversarial Robustness
by: Zimmerli, Marco, et al.
Published: (2025)

From MNIST to ImageNet: Understanding the Scalability Boundaries of Differentiable Logic Gate Networks
by: Brändle, Sven, et al.
Published: (2025)

Conditional Hallucinations for Image Compression
by: Aczel, Till, et al.
Published: (2024)

Efficient Bayesian Inference from Noisy Pairwise Comparisons
by: Aczel, Till, et al.
Published: (2025)

The Unwinnable Arms Race of AI Image Detection
by: Aczel, Till, et al.
Published: (2025)

Keep It Real: Challenges in Attacking Compression-Based Adversarial Purification
by: Räber, Samuel, et al.
Published: (2025)

Dataset Distillation for Pre-Trained Self-Supervised Vision Models
by: Cazenavette, George, et al.
Published: (2025)

DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training
by: Jimenez-Perez, Guillermo, et al.
Published: (2024)

FLIP Reasoning Challenge
by: Plesner, Andreas, et al.
Published: (2025)

Masked Self-Supervised Pre-Training for Text Recognition Transformers on Large-Scale Datasets
by: Kišš, Martin, et al.
Published: (2025)

On Pretraining Data Diversity for Self-Supervised Learning
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2024)

Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
by: Huang, Xun, et al.
Published: (2025)

Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the FIREX-AQ Datasets
by: LaHaye, Nicholas, et al.
Published: (2025)

Pre-training Vision Transformers with Formula-driven Supervised Learning
by: Kataoka, Hirokatsu, et al.
Published: (2022)

Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition
by: Feng, Hao, et al.
Published: (2024)

Self-Supervised Learning of Color Constancy
by: Ernst, Markus R., et al.
Published: (2024)

Blockwise Self-Supervised Learning at Scale
by: Siddiqui, Shoaib Ahmed, et al.
Published: (2023)

Pre-Trained Model Recommendation for Downstream Fine-tuning
by: Bai, Jiameng, et al.
Published: (2024)

Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning
by: Dong, Yongqi, et al.
Published: (2023)

Self-supervised Pre-training of Text Recognizers
by: Kišš, Martin, et al.
Published: (2024)

Rethinking The Uniformity Metric in Self-Supervised Learning
by: Fang, Xianghong, et al.
Published: (2024)

Self-Supervised Quantization-Aware Knowledge Distillation
by: Zhao, Kaiqi, et al.
Published: (2024)

Matrix Information Theory for Self-Supervised Learning
by: Zhang, Yifan, et al.
Published: (2023)

An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
by: Yoon, Jaesik, et al.
Published: (2023)

True Self-Supervised Novel View Synthesis is Transferable
by: Mitchel, Thomas W., et al.
Published: (2025)

Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations
by: Eastwood, Cian, et al.
Published: (2023)

HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
by: Cao, Shengcao, et al.
Published: (2024)

SENSE: Self-Supervised Neural Embeddings for Spatial Ensembles
by: Gadirov, Hamid, et al.
Published: (2025)

Self-Supervised Learning for Identifying Defects in Sewer Footage
by: Otero, Daniel, et al.
Published: (2024)

LDReg: Local Dimensionality Regularized Self-Supervised Learning
by: Huang, Hanxun, et al.
Published: (2024)

Multitask Multimodal Self-Supervised Learning for Medical Images
by: Simionescu, Cristian
Published: (2025)

Self-Supervised Multi-Frame Neural Scene Flow
by: Liu, Dongrui, et al.
Published: (2024)

Virtual Fashion Photo-Shoots: Building a Large-Scale Garment-Lookbook Dataset
by: Hauri, Yannick, et al.
Published: (2025)

Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
by: Kim, Donghu, et al.
Published: (2024)

Language-Driven Active Learning for Diverse Open-Set 3D Object Detection
by: Greer, Ross, et al.
Published: (2024)

Perceptual Quality-based Model Training under Annotator Label Uncertainty
by: Zhou, Chen, et al.
Published: (2024)

A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
by: Khan, Asifullah, et al.
Published: (2024)

An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders
by: Lowe, Scott C., et al.
Published: (2024)

On Partial Prototype Collapse in the DINO Family of Self-Supervised Methods
by: Govindarajan, Hariprasath, et al.
Published: (2024)