Comparing Fisher Information Regularization with Distillation for DNN Quantization
- Prad Kadambi
- Karthikeyan Natesan Ramamurthy
- et al.
- 2020
- NeurIPS 2020
Publications
1587 results for Machine Learning
Structure Discovery in (Causal) Proximal Graphical Event Models
- Debarun Bhattacharjya
- Karthikeyan Shanmugam
- et al.
- 2020
- NeurIPS 2020
Orthogonal Laguerre Recurrent Neural Networks
- Sergio Dorado Rojas
- Bhanu Vinzamuri
- 2020
- NeurIPS 2020
Data augmentation strategies to improve reaction yield predictions and estimate uncertainty
- Philippe Schwaller
- Alain Vaucher
- et al.
- 2020
- NeurIPS 2020
Pre-training Protein Language Models with Label-Agnostic Binding Pairs Enhances Performance in Downstream Tasks
- Modestas Filipavicius
- Matteo Manica
- et al.
- 2020
- NeurIPS 2020
Optimal Policies for the Homogeneous Selective Labels Problem
- 2020
- NeurIPS 2020
Quality Estimation & Interpretability for Code Translation
- Mayank Agarwal
- Kartik Talamadupula
- et al.
- 2020
- NeurIPS 2020
Physics-Informed Neural Network Super Resolution for Advection-Diffusion Models
- Chulin Wang
- Eloisa Bentivegna
- et al.
- 2020
- NeurIPS 2020
Hybrid Forecasting of Service Request Tickets with Human-in-the-loop (HitL)
- Shubhi Asthana
- Bing Zhang
- et al.
- 2020
- NeurIPS 2020
Exploring the Social Drivers of Health during a Pandemic: Leveraging Knowledge Graphs and Population Trends in COVID-19
- 2020
- EFMI STC 2020