2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Robustifying DARTS by Eliminating Information Bypass Leakage via Explicit Sparse Regularization
Jiuling Zhang, Zhiming Ding
Differentiable architecture search (DARTS) is a promising end to end NAS method which directly optimizes the architecture parameters through general gradient descent. However, DART…
cs.LG2023
Small Temperature is All You Need for Differentiable Architecture Search
Jiuling Zhang, Zhiming Ding
Differentiable architecture search (DARTS) yields highly efficient gradient-based neural architecture search (NAS) by relaxing the discrete operation selection to optimize continuo…
cs.LG2023
Rethink DARTS Search Space and Renovate a New Benchmark
Jiuling Zhang, Zhiming Ding
DARTS search space (DSS) has become a canonical benchmark for NAS whereas some emerging works pointed out the issue of narrow accuracy range and claimed it would hurt the method ra…