Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
- Robert Alison
- Anthony Stephenson
- et al.
- 2023
- NeurIPS 2023
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113 results at NeurIPS 2023
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding
- Hussein Mozannar
- Jimin Lee
- et al.
- 2023
- NeurIPS 2023
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
- Nicolas Menet
- Michael Hersche
- et al.
- 2023
- NeurIPS 2023
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
- Sivan Doveh
- Assaf Arbelle
- et al.
- 2023
- NeurIPS 2023
Model Sparsity Can Simplify Machine Unlearning
- Jinghan Jia
- Jiancheng Liu
- 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
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
- Giorgio Giannone
- Akash Srivastava
- et al.
- 2023
- NeurIPS 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with epsilon-Greedy Exploration
- Shuai Zhang
- Hongkang Li
- et al.
- 2023
- NeurIPS 2023
Towards Label Position Bias in Graph Neural Networks
- Haoyu Han
- Xiaorui Liu
- et al.
- 2023
- NeurIPS 2023
Uncovering and Quantifying Social Biases in Code Generation
- Yan Liu
- Xiaokang Chen
- et al.
- 2023
- NeurIPS 2023