PathNet: Evolution Channels Gradient Descent in Super Neural Networks

PathNet: Evolution Channels Gradient Descent in Super Neural Networks

30 January 2017

Chrisantha Fernando

Charles Blundell

Alexander Pritzel

Papers citing "PathNet: Evolution Channels Gradient Descent in Super Neural Networks"

7 / 7 papers shown

Title
Continual Learning With Quasi-Newton Methods Steven Vander Eeckt Hugo Van hamme CLL BDL 88 0 0 25 Mar 2025
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector Qirui Wu Shizhou Zhang De Cheng Yinghui Xing Di Xu Peng Wang Yanning Zhang ObjD 143 0 0 08 Feb 2025
Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions Shishir Muralidhara René Schuster Didier Stricker CLL 423 0 0 10 Jan 2025
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing Sagi Shaier Francisco Pereira Katharina von der Wense Lawrence E Hunter Matt Jones MoE 71 0 0 10 Oct 2024
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning Qifan Zhang Yunhui Guo Yu Xiang CLL VLM 80 0 0 18 Jul 2024
Federated Class-Incremental Learning with Prompting Jiale Liu Yu-Wei Zhan Chong-Yu Zhang Xin Luo Zhen-Duo Chen Yinwei Wei CLL FedML 54 2 0 13 Oct 2023
Optimizing Reusable Knowledge for Continual Learning via Metalearning J. Hurtado Alain Raymond-Sáez Alvaro Soto CLL 62 37 0 09 Jun 2021