Contrastive Meta-Learning for Partially Observable Few-Shot Learning

Contrastive Meta-Learning for Partially Observable Few-Shot Learning

30 January 2023

Amos Storkey

Antreas Antoniou

Papers citing "Contrastive Meta-Learning for Partially Observable Few-Shot Learning"

7 / 7 papers shown

Title
Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments Anushiya Arunan Yan Qin Xiaoli Li Yuen Chau AI4TS 21 0 0 03 May 2025
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text Yuyu Jia Qing Zhou Wei Huang Junyu Gao Qi. Wang VLM 22 1 0 21 May 2024
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP Andreas Fürst Elisabeth Rumetshofer Johannes Lehner Viet-Hung Tran Fei Tang ... David P. Kreil Michael K Kopp G. Klambauer Angela Bitto-Nemling Sepp Hochreiter VLM CLIP 199 102 0 21 Oct 2021
InfoNCE is variational inference in a recognition parameterised model Laurence Aitchison Stoil Ganev BDL 20 7 0 06 Jul 2021
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy A. Smeaton SSL AI4TS 164 678 0 10 Oct 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