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Automatic Combination of Sample Selection Strategies for Few-Shot
  Learning

Automatic Combination of Sample Selection Strategies for Few-Shot Learning

5 February 2024
Branislav Pecher
Ivan Srba
M. Bieliková
Joaquin Vanschoren
ArXivPDFHTML

Papers citing "Automatic Combination of Sample Selection Strategies for Few-Shot Learning"

6 / 6 papers shown
Title
Generate-and-Retrieve: use your predictions to improve retrieval for
  semantic parsing
Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing
Yury Zemlyanskiy
Michiel de Jong
Joshua Ainslie
Panupong Pasupat
Peter Shaw
Linlu Qiu
Sumit Sanghai
Fei Sha
RALM
115
15
0
29 Sep 2022
Controllable Semantic Parsing via Retrieval Augmentation
Controllable Semantic Parsing via Retrieval Augmentation
Panupong Pasupat
Yuan Zhang
Kelvin Guu
108
47
0
16 Oct 2021
Constrained Language Models Yield Few-Shot Semantic Parsers
Constrained Language Models Yield Few-Shot Semantic Parsers
Richard Shin
C. H. Lin
Sam Thomson
Charles C. Chen
Subhro Roy
Emmanouil Antonios Platanios
Adam Pauls
Dan Klein
J. Eisner
Benjamin Van Durme
287
196
0
18 Apr 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,296
0
17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
238
1,898
0
31 Dec 2020
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
234
11,568
0
09 Mar 2017
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