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An Overview of Deep Learning Architectures in Few-Shot Learning Domain

An Overview of Deep Learning Architectures in Few-Shot Learning Domain

12 August 2020
Shruti Jadon
Aryan Jadon
    VLM
ArXivPDFHTML

Papers citing "An Overview of Deep Learning Architectures in Few-Shot Learning Domain"

6 / 6 papers shown
Title
A Comparative Review of Recent Few-Shot Object Detection Algorithms
A Comparative Review of Recent Few-Shot Object Detection Algorithms
Jiaxu Leng
Taiyue Chen
Gao Xinbo
Yongtao Yu
Ye Wang
Feng Gao
Wang Yue
ObjD
19
15
0
30 Oct 2021
Prototype-based Personalized Pruning
Prototype-based Personalized Pruning
Jang-Hyun Kim
Simyung Chang
Sungrack Yun
Nojun Kwak
10
4
0
25 Mar 2021
AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive
  Summarization
AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization
Tiezheng Yu
Zihan Liu
Pascale Fung
CLL
43
81
0
21 Mar 2021
COVID-19 detection from scarce chest x-ray image data using few-shot
  deep learning approach
COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approach
Shruti Jadon
21
39
0
11 Feb 2021
Challenges and approaches to time-series forecasting in data center
  telemetry: A Survey
Challenges and approaches to time-series forecasting in data center telemetry: A Survey
Shruti Jadon
Jan Kanty Milczek
Ajit Patnakar
AI4TS
24
9
0
11 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
344
11,684
0
09 Mar 2017
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