"self-supervised learning" Papers

Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization

The Entropy Enigma: Success and Failure of Entropy Minimization

Ori Press, Ravid Shwartz-Ziv, Yann LeCun et al.

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling

Jiaxiang Dong, Haixu Wu, Yuxuan Wang et al.

Towards a Density Preserving Objective Function for Learning on Point Sets

Haritha Jayasinghe, Ioannis Brilakis

Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention

Jiaqi Zhang, Joel Jennings, Agrin Hilmkil et al.

Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning

Yibing Wei, Abhinav Gupta, Pedro Morgado

TSLANet: Rethinking Transformers for Time Series Representation Learning

Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen et al.

Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment

Haokun Gui, Xiucheng Li, Xinyang Chen

ViP: A Differentially Private Foundation Model for Computer Vision

Yaodong Yu, Maziar Sanjabi, Yi Ma et al.

XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning

Pritam Sarkar, Ali Etemad

Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement

che liu, Zhongwei Wan, Cheng Ouyang et al.