Are We Overfitting to Experimental Setups in Recognition
By Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi. 2020
6 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.
- Sergey Levine
- Tianhe Yu
- Chelsea Finn
- Glen Berseth
- Pieter Abbeel
- Abhishek Gupta
- Han-Jia Ye
- Yoshua Bengio
Citations in the corpus
- CoMPS: Continual Meta Policy Search (2021, background): “Recent work has made progress toward using supervised meta-learning in an online setting (Ren et al., 2018; Finn et al., 2019; Khodak et al., 2019; Jerfel et al., 2019; Grant et al., 2019; Zhuang et al., 2019; Antoniou et al., 2020; Wallingford et al., 2020; Yu et al., 2020a; Yao et al., 2020).”
- Variable-Shot Adaptation for Online Meta-Learning (2020, methodology): “Unlike prior online meta-learning works (Finn et al., 2019; Grant et al., 2019; Khodak et al., 2019; Zhuang et al., 2019; Ren et al., 2020; Antoniou et al., 2020; Wallingford et al., 2020; Yao et al., 2020), we develop an algorithm that is specifically tailored to leverage variable amounts of data, ”