Spotlight "self-supervised learning" Papers
8 papers found
Conference
Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning
Yang Chen, Yirun Zhou, Weizhong Zhang et al.
NEURIPS 2025spotlight
Detecting Generated Images by Fitting Natural Image Distributions
Yonggang Zhang, Jun Nie, Xinmei Tian et al.
NEURIPS 2025spotlightarXiv:2511.01293
2
citations
Enhancing Contrastive Learning with Variable Similarity
Haowen Cui, Shuo Chen, Jun Li et al.
NEURIPS 2025spotlight
Language Models can Self-Improve at State-Value Estimation for Better Search
Ethan Mendes, Alan Ritter
NEURIPS 2025spotlightarXiv:2503.02878
4
citations
Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting
Yuxuan Yang, Dalin Zhang, Yuxuan Liang et al.
NEURIPS 2025spotlightarXiv:2502.14704
1
citations
Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum
Haoyang Li, Xin Wang, Zeyang Zhang et al.
ICML 2025spotlight
T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning
Julie Mordacq, David Loiseaux, Vicky Kalogeiton et al.
NEURIPS 2025spotlightarXiv:2510.23484
Stereographic Spherical Sliced Wasserstein Distances
Huy Tran, Yikun Bai, Abihith Kothapalli et al.
ICML 2024spotlightarXiv:2402.02345
10
citations