Venue: ICLR 2022 Track Blog

Reviews:

final_score: rating: 6: Marginally above acceptance threshold
review_content: This blog post is describing a recent paper on understanding whether and when types of curricula work during supervised learning. There's some discussion about the analysis from the paper that highlights the conditions when curriculum seems to work during supervised learning which is in particular when there's some type of data or time constraints.

Pros:
This blog post is nice and concise and has most of the important details from the paper.
Cons:
However, it would be nice to include some more commentary on the results from the paper. And by this I mean when and in what particular cases it's definitely more useful to use types of curricula. Going into more detail about important time-limited or noisy labelled settings and whether or not the importance of those settings should encourage more people to study curriculum methods.

More detailed notes
- Usually by default data is just given randomly and there is no order to the data at all.
- This blog post appears to also focus a bit more on supervised learning and the types of methods that use curriculum training in those areas. This leaves out some of the more recent methods that try to learn agents to supply the type of curriculum given to the learning process.
review_title: Clear post

Meta-review: As mentioned in the review, "Usually by default data is just given randomly and there is no order to the data at all.". We considered that the added value of this blog post was too limited to be accepted. 
Decision: Reject