"self-supervised pre-training" Papers
7 papers found
CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
Wenji Fang, Shang Liu, Jing Wang et al.
ICLR 2025posterarXiv:2505.02168
14
citations
Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling, and Zero-Shot Transfer
Zihan Pengmei, Zhengyuan Shen, Zichen Wang et al.
ICLR 2025posterarXiv:2410.21683
5
citations
RoFt-Mol: Benchmarking Robust Fine-tuning with Molecular Graph Foundation Models
Shikun Liu, Deyu Zou, Nima Shoghi et al.
NeurIPS 2025spotlightarXiv:2509.00614
1
citations
DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection
Zhongyi Shui, Sunyi Zheng, Chenglu Zhu et al.
AAAI 2024paperarXiv:2303.02602
DySeT: a Dynamic Masked Self-distillation Approach for Robust Trajectory Prediction
MOZHGAN POURKESHAVARZ, Arielle Zhang, Amir Rasouli
ECCV 2024poster
7
citations
Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning
Kaiyou Song, Shan Zhang, Tong Wang
AAAI 2024paperarXiv:2312.10457
2
citations
UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis
Yunhao Zhang, Liu Minghao, Shengyang Zhou et al.
ICML 2024oral