BECLR: Batch Enhanced Contrastive Few-Shot Learning

4 February 2024

Papers citing "BECLR: Batch Enhanced Contrastive Few-Shot Learning"

10 / 10 papers shown

Title
Unsupervised Meta-Learning via In-Context Learning Anna Vettoruzzo Lorenzo Braccaioli Joaquin Vanschoren M. Nowaczyk SSL 54 0 0 25 May 2024
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning Huiwon Jang Hankook Lee Jinwoo Shin VLM SSL 27 15 0 02 Mar 2023
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid Jing Xu Xu Luo Xinglin Pan Wenjie Pei Yanan Li Zenglin Xu 36 21 0 30 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 19 3 0 07 Oct 2022
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-xiong Wang 25 13 0 06 Oct 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL 183 450 0 29 Apr 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 208 322 0 16 Jan 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,367 0 09 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 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 282 39,170 0 01 Sep 2014