In the Wild: From ML Models to Pragmatic ML Systems

By Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi. 2020

9 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Seyed Iman Mirzadeh
2. Mehrdad Farajtabar
3. Liyuan Wang
4. Arslan Chaudhry
5. Razvan Pascanu
6. Huiyi Hu
7. Hassan Ghasemzadeh
8. Thang Van Doan

Citations in the corpus

• Wide Neural Networks Forget Less Catastrophically (2021, background): “Alleviating catastrophic forgetting has attracted a lot of attention lately, and many interesting solutions are proposed to partly overcome the issue (e.g., Toneva et al., 2019; Nguyen et al., 2019; Hsu et al., 2018; Li et al., 2019; Wallingford et al., 2020).”
• Understanding the Role of Training Regimes in Continual Learning (2020, background): “[73] proposed a framework for integration of solutions across supervised learning, few-shot learning, continual learning, and efficient machine learning to facilitate the research in the intersection of these fields.”