Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators
- Jenna Bilbrey
- Kristina Herman
- et al.
- 2022
- NeurIPS 2022
Publications
97 results at NeurIPS 2022
Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions
- Chanakya Ekbote
- Moksh Jain
- et al.
- 2022
- NeurIPS 2022
Image Manipulation via Neuro-Symbolic Networks
- Harman Singh
- Poorva Garg
- et al.
- 2022
- NeurIPS 2022
On the Adversarial Robustness of Vision Transformers
- Rulin Shao
- Zhouxing Shi
- et al.
- 2022
- NeurIPS 2022
Physics-Constrained Deep Learning for Climate Downscaling
- Paula Harder
- Qidong Yang
- et al.
- 2022
- NeurIPS 2022
Generating physically-consistent high-resolution climate data with hard-constrained neural networks
- Paula Harder
- Qidong Yang
- et al.
- 2022
- NeurIPS 2022
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data
- Ching-yun Ko
- Pin-Yu Chen
- et al.
- 2022
- NeurIPS 2022
NeuralFuse: Improving the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
- Hao-lun Sun
- Lei Hsiung
- et al.
- 2022
- NeurIPS 2022
Learning in Factored Domains with Information-Constrained Visual Representations
- Tyler Malloy
- Tim Klinger
- et al.
- 2022
- NeurIPS 2022
Do Domain Generalization Methods Generalize Well?
- Akshay Mehra
- Bhavya Kailkhura
- et al.
- 2022
- NeurIPS 2022