Venue: ICLR 2017 workshop

Reviews:

final_score: rating: 4: Ok but not good enough - rejection
review_content: This paper is unfortunately very difficult to parse due to the language. It combines two methods of the literature and shows an improvement, but in the absence of a standalone detailed description of the models and/or of an open-source implementation reproducing the results, it's not particularly useful as-is. I'd recommend the authors to put together a more complete manuscript detailing the model, preferably with code.
review_title: Difficult to parse. Lacks details to be useful.

final_score: rating: 6: Marginally above acceptance threshold
review_content: Take two ideas that worked, combine them, see if it works better.  If the results of the workshop submission are correct, the answer is yes.  This paper is extremely light on details, but it is a workshop submission, and the workshop format is a poster, so there should be ample space to highlight the methodology and details of implementation.
review_title: Combine Pyramid Nets and Networks with Stochastic Depth

Decision: Reject