Poster "unsupervised representation learning" Papers
14 papers found
Conference
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
Zinan Lin, Enshu Liu, Xuefei Ning et al.
NEURIPS 2025arXiv:2509.15591
Moto: Latent Motion Token as the Bridging Language for Learning Robot Manipulation from Videos
Yi Chen, Yuying Ge, Weiliang Tang et al.
ICCV 2025arXiv:2412.04445
22
citations
Unsupervised Federated Graph Learning
Lele Fu, Tianchi Liao, Sheng Huang et al.
NEURIPS 2025
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation
Zelin Zang, Hao Luo, Kai Wang et al.
ICML 2024arXiv:2309.07909
11
citations
Do Generated Data Always Help Contrastive Learning?
Yifei Wang, Jizhe Zhang, Yisen Wang
ICLR 2024arXiv:2403.12448
35
citations
Do text-free diffusion models learn discriminative visual representations?
Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi et al.
ECCV 2024arXiv:2311.17921
27
citations
Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing
Ioannis Maniadis Metaxas, Georgios Tzimiropoulos, ioannis Patras
ECCV 2024arXiv:2407.11168
2
citations
Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks
Bjørn Leth Møller, Christian Igel, Kristoffer Wickstrøm et al.
ICML 2024
Hierarchical Correlation Clustering and Tree Preserving Embedding
Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani
CVPR 2024arXiv:2002.07756
9
citations
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
Andrew Song, Richard J. Chen, Tong Ding et al.
CVPR 2024arXiv:2405.11643
79
citations
Robustness of Nonlinear Representation Learning
Simon Buchholz, Bernhard Schölkopf
ICML 2024arXiv:2503.15355
6
citations
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning
Qi Qian, Yuanhong Xu, JUHUA HU
ECCV 2024arXiv:2408.13351
Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces
Fang Wu, Stan Z Li
ICML 2024
WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer
Kumar Shubham, Aishwarya Jayagopal, Syed Danish et al.
ICML 2024arXiv:2405.04078
5
citations