Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning

2 August 2022

Papers citing "Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning"

12 / 12 papers shown

Title
Transformers with Stochastic Competition for Tabular Data Modelling Andreas Voskou Charalambos Christoforou S. Chatzis LMTD 25 1 0 18 Jul 2024
Continual Deep Learning on the Edge via Stochastic Local Competition among Subnetworks Theodoros Christophides Kyriakos Tolias S. Chatzis 27 0 0 15 Jul 2024
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction Luojun Lin Zhifeng Shen Jia-Li Yin Qipeng Liu Yuanlong Yu Weijie Chen CVBM 21 4 0 23 Nov 2023
DISCOVER: Making Vision Networks Interpretable via Competition and Dissection Konstantinos P. Panousis S. Chatzis 17 5 0 07 Oct 2023
A New Dataset for End-to-End Sign Language Translation: The Greek Elementary School Dataset Andreas Voskou Konstantinos P. Panousis Harris Partaourides Kyriakos Tolias S. Chatzis SLR 15 6 0 07 Oct 2023
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning Yingjun Du Jiayi Shen Xiantong Zhen Cees G. M. Snoek 27 1 0 08 Jun 2023
MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics Lu Zhang Huaiqian You T. Gao Mo Yu Chung-Hao Lee Yue Yu AI4CE 29 9 0 28 Jan 2023
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning Konstantinos P. Panousis S. Chatzis Antonios Alexos Sergios Theodoridis BDL AAML OOD 56 19 0 04 Jan 2021
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 193 498 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 666 0 07 Jun 2018
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 299 11,681 0 09 Mar 2017