Venue: ICLR 2022 Track Blog

Reviews:

final_score: rating: 5: Marginally below acceptance threshold
review_content: The authors give a presentation of STARTUP, as well as new experiments on text data.

The presentation of STARTUP is clear and easy to follow. In addition to the paper itself, the authors recall some standard notions of few-shot learning, which makes this post accessible to a larger audience.

The authors also experimented with STARTUP on a new domain (multilingual text classification), based on data they gathered. Unfortunately these experiments were not conclusive, and the authors were open about this. While the high level picture of their experiments is clear, some details are crucially missing. For example, the nature of the classification tasks (what is being classified? what are the labels?) is not clearly defined. An additional point is that the ratio $n_{base}/n_{target}$ in those experiments (1 or 2) is significantly smaller than the one typically studied in STARTUP, where the base domain is ImageNet, which may have an impact on the results the authors obtain.

Unfortunately I tend towards weak rejection as this blog post stands. The additional experiments are interesting, but not sufficiently conclusive to be part of the post. Instead, the authors could have made a critical presentation of the results from the original STARTUP paper.
review_title: Review of FrLove

Decision: Reject