Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling

7 April 2022

Papers citing "Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling"

6 / 6 papers shown

Title
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 23 6 0 13 Apr 2023
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 208 322 0 16 Jan 2021
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 201 330 0 22 Jul 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 202 629 0 17 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 284 11,681 0 09 Mar 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014