MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures

13 June 2020

Papers citing "MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures"

7 / 7 papers shown

Title
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models Minki Kang Sung Ju Hwang Gibbeum Lee Jaewoong Cho KELM 43 0 0 01 Nov 2024
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification Bo Zhang Jiakang Yuan Baopu Li Tao Chen Jiayuan Fan Botian Shi ViT 31 31 0 02 Jul 2022
Auto-Transfer: Learning to Route Transferrable Representations K. Murugesan Vijay Sadashivaiah Ronny Luss Karthikeyan Shanmugam Pin-Yu Chen Amit Dhurandhar AAML 49 5 0 02 Feb 2022
Online Hyperparameter Meta-Learning with Hypergradient Distillation Haebeom Lee Hayeon Lee Jaewoong Shin Eunho Yang Timothy M. Hospedales Sung Ju Hwang DD 42 2 0 06 Oct 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-xiong Wang José M. F. Moura 35 28 0 20 Sep 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 460 11,715 0 09 Mar 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 310 2,896 0 15 Sep 2016