Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity
and Few-Shot Difficulty

Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty

1 February 2022

Papers citing "Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty"

10 / 10 papers shown

Title
Closed-form merging of parameter-efficient modules for Federated Continual Learning Riccardo Salami Pietro Buzzega Matteo Mosconi Jacopo Bonato Luigi Sabetta Simone Calderara FedML MoMe CLL 31 2 0 23 Oct 2024
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning Emanuele Frascaroli Aniello Panariello Pietro Buzzega Lorenzo Bonicelli Angelo Porrello Simone Calderara VLM CLL 35 3 0 22 Jul 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting Tiange Zhang Qing Cai Feng Gao Lin Qi Junyu Dong 22 1 0 24 Jun 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes Raphael Lafargue Yassir Bendou Bastien Pasdeloup J. Diguet Ian Reid Vincent Gripon Jack Valmadre 17 0 0 29 Jan 2024
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction Qingyun Wang Zixuan Zhang Hongxiang Li Xuan Liu Jiawei Han Huimin Zhao Heng Ji 41 1 0 18 Jan 2024
Understanding self-supervised Learning Dynamics without Contrastive Pairs Yuandong Tian Xinlei Chen Surya Ganguli SSL 138 278 0 12 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 170 639 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 243 11,659 0 09 Mar 2017