thanksforthesuggestion
dbc4d84bfcfe2284ba11beffb853a8c4-AuthorFeedback.pdf
Note that the theoretical equivalence requires near-zero initialization, gradient flow (small5 learning rate),and alargenumber ofchannels. These require significant computation resource. One of the advantages of kernel methods is that they requirelittle21 computationon a small dataset, which is a very appealing feature for architecture search.
10fb6cfa4c990d2bad5ddef4f70e8ba2-AuthorFeedback.pdf
On stationary problems with low-d structure, the magnitude of5 improvement is large (Figure 1). Now, as we show, real-world problems can be more complicated and while the6 improvement overREMBO remained large,local-search methods werehighly competitive.
Technology: Information Technology > Artificial Intelligence > Representation & Reasoning > Search (0.63)