Comparing Fisher Information Regularization with Distillation for DNN Quantization
- Prad Kadambi
- Karthikeyan Natesan Ramamurthy
- et al.
- 2020
- NeurIPS 2020
Publications
1576 results for Machine Learning
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
Long-Range Seasonal Forecasting of 2m Temperature with Machine Learning
- Etienne Eben Vos
- Ashley Daniel Gritzman
- et al.
- 2020
- NeurIPS 2020
Optimal Policies for the Homogeneous Selective Labels Problem
- 2020
- NeurIPS 2020
Structure Discovery in (Causal) Proximal Graphical Event Models
- Debarun Bhattacharjya
- Karthikeyan Shanmugam
- et al.
- 2020
- NeurIPS 2020
Learning to Design Fair and Private Voting Rules
- Farhad Mohsin
- Ao Liu
- 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
Platform for Polymer Inverse-Design by Graph Generative Algorithms
- Seiji Takeda
- Toshiyuki Hama
- et al.
- 2020
- MRS Fall Meeting 2020