In this paper, we propose a novel approach, namely Efficient and Stable Differentiable Architecture Search (ES-DARTS), that leverages decoupled search strategy ...

Apr 15, 2022 · In this work we study NAS for efficiently solving diverse problems. Seeking an approach that is fast, simple, and broadly applicable.

Mar 15, 2023 · In this paper, we propose a new framework toward efficient architecture search by exploring the architecture space based on the current network ...

Efficient Architecture Search by Network Transformation. Code for the paper Efficient Architecture Search by Network Transformation in AAAI 2018. Reference.

CLEAS works closely with neural architecture search (NAS) which leverages reinforcement learning techniques to search for the best neural architecture that fits ...

Dec 21, 2023 · Improving the efficiency of Neural Architecture Search (NAS) is a challenging but significant task that has received much attention. Previous ...

This paper addresses the scalability challenge of automatic deep neural architecture search by implementing a parameter sharing approach with regularized ...

In this paper, we study a new search scheme called Iterative Refining A* (IRA*). The scheme solves a class of combinatorial optimization problems whose lower- ...

Mar 2, 2022 · We propose a novel approach named continual learning with efficient architecture search (CLEAS). CLEAS works closely with neural architecture search (NAS).

This network transformation allows reusing pre- viously trained networks and existing success- ful architectures that improves sample efficiency. We aim to ...