Towards Label Position Bias in Graph Neural Networks
- Haoyu Han
- Xiaorui Liu
- et al.
- 2023
- NeurIPS 2023
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113 results at NeurIPS 2023
Towards robust and generalizable representations of extracellular data using contrastive learning
- Ankit Vishnubhotla
- Charlotte Loh
- et al.
- 2023
- NeurIPS 2023
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
- Zuobai Zhang
- Minghao Xu
- et al.
- 2023
- NeurIPS 2023
Efficient Equivariant Transfer Learning from Pretrained Models
- Sourya Basu
- Pulkit Katdare
- et al.
- 2023
- NeurIPS 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
- Giorgio Giannone
- Akash Srivastava
- et al.
- 2023
- NeurIPS 2023
SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network
- Yuting Hu
- Jiajie Li
- et al.
- 2023
- NeurIPS 2023
Modulated Neural ODEs
- Ilze Amanda Auzina
- Cagatay Yildiz
- et al.
- 2023
- NeurIPS 2023
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning
- Fan Feng
- Sara Magliacane
- 2023
- NeurIPS 2023
Adapting Fairness Interventions to Missing Values
- Raymond Feng
- Flavio Calmon
- et al.
- 2023
- NeurIPS 2023
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
- Zhiqing Sun
- Yikang Shen
- et al.
- 2023
- NeurIPS 2023