Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks

17 February 2021

Papers citing "Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks"

6 / 6 papers shown

Title
Growth strategies for arbitrary DAG neural architectures Stella Douka Manon Verbockhaven Théo Rudkiewicz Stéphane Rivaud François P. Landes Sylvain Chevallier Guillaume Charpiat AI4CE 49 0 0 17 Feb 2025
Beyond Uniform Scaling: Exploring Depth Heterogeneity in Neural Architectures Akash Guna R.T Arnav Chavan Deepak Gupta MDE 32 0 0 19 Feb 2024
Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation Xin Yuan Pedro H. P. Savarese Michael Maire 8 5 0 22 Jun 2023
Incremental Learning with Differentiable Architecture and Forgetting Search James Smith Zachary Seymour Han-Pang Chiu OOD CLL AI4CE 34 4 0 19 May 2022
bert2BERT: Towards Reusable Pretrained Language Models Cheng Chen Yichun Yin Lifeng Shang Xin Jiang Yujia Qin Fengyu Wang Zhi Wang Xiao Chen Zhiyuan Liu Qun Liu VLM 24 59 0 14 Oct 2021
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 131 498 0 24 Apr 2018