ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1902.08605
  4. Cited By
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task
  Supervision at Test-Time

Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time

22 February 2019
Gabriel Huang
Hugo Larochelle
Simon Lacoste-Julien
    SSL
    OOD
ArXivPDFHTML

Papers citing "Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time"

5 / 5 papers shown
Title
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Archit Parnami
Minwoo Lee
MQ
30
157
0
07 Mar 2022
Locality and compositionality in zero-shot learning
Locality and compositionality in zero-shot learning
Tristan Sylvain
Linda Petrini
R. Devon Hjelm
24
56
0
20 Dec 2019
Learning to Discover Novel Visual Categories via Deep Transfer
  Clustering
Learning to Discover Novel Visual Categories via Deep Transfer Clustering
Kai Han
Andrea Vedaldi
Andrew Zisserman
SSL
21
291
0
26 Aug 2019
Variational Wasserstein Clustering
Variational Wasserstein Clustering
Liang Mi
Wen Zhang
X. Gu
Yalin Wang
OT
56
42
0
23 Jun 2018
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
365
11,700
0
09 Mar 2017
1