While transposable passin In [17], theauthorsmaskto constrains satisfy diversity sparsity R C, supposeRandC are thesparsitys.

Neural Information Processing Systems http://nips.cc/

In'00: Revised the Second International Conferenceon Computersand Games333-345, 2000.

Algorithm Thei Requirinitialx0,i, 1: forj =0 ,1,2,..., 1do 2: Randomlymtraining 3: Compute 4: Update 5: if((j+ 1)p)=0 then 6: Compute 7: Quantize 8: Av 9: Update 10: end 11: end Inthe achie O(1/ p MK)con limited impair gradient 2-bit ratio 32/2 =(if We the communicate issho each parameters.

In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? Webe present thenotion Assume Gisagroup.Gactson and Y : G Y !

Then, (t) is operationembeddingsemb(t)op (Line 9).emb(t)op will (t 1)

Let S = {( 1,y1),...,( n,yn)}.

Specifically, forthesearchspacesandtasks, we use NAS-Bench-101 (CIFAR-10), NAS-Bench-201 (CIFAR-10, CIFAR-100, and ImageNet16-120), NAS-Bench-301 (CIFAR-10), and TransN AS-Bench-101 Microand Macro (Jigsaw, Object Classification, Scene Classification, Autoencoder) from NAS-Bench-Suite. Weconsiderall 44Karchitecturesreferencedin Table 2. See Table 3 and Appendix Dforthefullresults.