Modularizing Deep Learning via Pairwise Learning With Kernels

12 May 2020

Papers citing "Modularizing Deep Learning via Pairwise Learning With Kernels"

10 / 10 papers shown

Title
Assembling Modular, Hierarchical Cognitive Map Learners with Hyperdimensional Computing Nathan McDonald Anthony Dematteo 27 0 0 29 Apr 2024
MOLE: MOdular Learning FramEwork via Mutual Information Maximization Tianchao Li Yulong Pei 25 0 0 15 Aug 2023
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato AAML 33 6 0 30 Jul 2023
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato 26 7 0 30 Jul 2023
Modularizing and Assembling Cognitive Map Learners via Hyperdimensional Computing N. McDonald 21 6 0 10 Apr 2023
Dynamic Recognition of Speakers for Consent Management by Contrastive Embedding Replay Arash Shahmansoori U. Roedig 17 1 0 17 May 2022
Learning to Transfer with von Neumann Conditional Divergence Ammar Shaker Shujian Yu Daniel Oñoro-Rubio OOD DRL 15 1 0 07 Aug 2021
Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods Shiyu Duan José C. Príncipe MQ 20 3 0 09 Jan 2021
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks Roman Pogodin P. Latham 11 34 0 12 Jun 2020
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 134 164 0 21 Aug 2019