Improving Generalization in Meta-learning via Task Augmentation

Improving Generalization in Meta-learning via Task Augmentation

26 July 2020

Papers citing "Improving Generalization in Meta-learning via Task Augmentation"

15 / 15 papers shown

Title
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Yonghao Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan OffRL 104 0 0 10 Jan 2025
Rethinking Meta-Learning from a Learning Lens Jingyao Wang Wenwen Qiang Chuxiong Sun Lingyu Si Jiangmeng Li 41 1 0 13 Sep 2024
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization Cho-Ying Wu Yiqi Zhong Junying Wang Ulrich Neumann MDE 54 0 0 04 Sep 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation Cheems Wang Yiqin Lv Yixiu Mao Yun Qu Yi Tian Xu Xiangyang Ji OOD TTA 49 6 0 28 Jul 2024
Unsupervised Meta-Learning via In-Context Learning Anna Vettoruzzo Lorenzo Braccaioli Joaquin Vanschoren M. Nowaczyk SSL 54 0 0 25 May 2024
Knowledge-Driven New Drug Recommendation Zhenbang Wu Huaxiu Yao Zhe Su David M. Liebovitz Lucas Glass James Y. Zou Chelsea Finn Jimeng Sun 18 4 0 11 Oct 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective Chanwoo Park Sangdoo Yun Sanghyuk Chun AAML 16 32 0 21 Aug 2022
Towards Better Meta-Initialization with Task Augmentation for Kindergarten-aged Speech Recognition Yunzheng Zhu Ruchao Fan Abeer Alwan CLL 29 4 0 24 Feb 2022
Model-Based Offline Meta-Reinforcement Learning with Regularization Sen Lin Jialin Wan Tengyu Xu Yingbin Liang Junshan Zhang OffRL 14 17 0 07 Feb 2022
Multimodality in Meta-Learning: A Comprehensive Survey Yao Ma Shilin Zhao Weixiao Wang Yaoman Li Irwin King 45 52 0 28 Sep 2021
Adversarial Training Helps Transfer Learning via Better Representations Zhun Deng Linjun Zhang Kailas Vodrahalli Kenji Kawaguchi James Y. Zou GAN 34 52 0 18 Jun 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 172 639 0 19 Sep 2019
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 252 11,677 0 09 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015