Venue: ICLR 2017 workshop

Reviews:

final_score: rating: 7: Good paper, accept
review_content: The idea of the paper is to use RL to determine the resources used at testing phase. This paper is well-motivated and interesting, and the experimental results is promising. I think it is a good paper to be in the workshop track of ICLR.
review_title: An interesting paper 

final_score: rating: 8: Top 50% of accepted papers, clear accept
review_content: A cool improvement on previous partial computation works that allows to change amount of computation at test time rather than during training. 

One downside is that empirical comparisons with previous approaches are lacking. Is it better to train for the worst case (previous methods) or to train for the general case with a test-time precision knob? (knob that controls computational resource allocation).
review_title: Moving computation tradeoffs to test-time

Decision: Accept