1. Neural Architecture Search (NAS): a field of searching for best architecture to solve specific problem (CIFAR, ImageNet etc) including • Search space: pre-defined set of architectures to run search on (Vanilla NAS, one-shot NAS, few-shot NAS) • Search algorithm: the algorithm to search for best architectures (gradient-based, search-based) • Benchmark dataset: dataset to evaluate the space design, algorithm with evaluated architectures (NASBench-101, NASBench-201) 2. Few-shot NAS: focuses on designing the search space to improve the speed of searching process while not sacrificing too much on accuracy of the final architecture Achieving same result with Vanilla NAS with search time 2 order of magnitudes smaller Partitioning search space to speed-up training process of sub-space 1. Impact of few-shot NAS