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. 2402.03038
  4. Cited By
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
Maria Bielikova
Joaquin Vanschoren
ArXivPDFHTML

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

28 / 28 papers shown
Title
In-Context Learning with Iterative Demonstration Selection
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin
Aston Zhang
Chong Chen
Anirudh Dagar
Wenming Ye
LRM
138
49
0
31 Dec 2024
Zephyr: Direct Distillation of LM Alignment
Zephyr: Direct Distillation of LM Alignment
Lewis Tunstall
E. Beeching
Nathan Lambert
Nazneen Rajani
Kashif Rasul
...
Nathan Habib
Nathan Sarrazin
Omar Sanseviero
Alexander M. Rush
Thomas Wolf
ALM
89
387
0
25 Oct 2023
Unified Demonstration Retriever for In-Context Learning
Unified Demonstration Retriever for In-Context Learning
Xiaonan Li
Kai Lv
Hang Yan
Tianya Lin
Wei-wei Zhu
Yuan Ni
Guotong Xie
Xiaoling Wang
Xipeng Qiu
RALM
VPVLM
63
135
0
07 May 2023
Automatic Prompt Augmentation and Selection with Chain-of-Thought from
  Labeled Data
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data
Kashun Shum
Shizhe Diao
Tong Zhang
ReLM
LRM
62
133
0
24 Feb 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
I. Ullah
Dustin Carrión-Ojeda
Sergio Escalera
Isabelle M Guyon
Mike Huisman
F. Mohr
Jan N van Rijn
Haozhe Sun
Joaquin Vanschoren
P. Vu
VLM
63
34
0
16 Feb 2023
Diverse Demonstrations Improve In-context Compositional Generalization
Diverse Demonstrations Improve In-context Compositional Generalization
Itay Levy
Ben Bogin
Jonathan Berant
73
142
0
13 Dec 2022
Prompting PaLM for Translation: Assessing Strategies and Performance
Prompting PaLM for Translation: Assessing Strategies and Performance
David Vilar
Markus Freitag
Colin Cherry
Jiaming Luo
Viresh Ratnakar
George F. Foster
LRM
89
162
0
16 Nov 2022
Active Example Selection for In-Context Learning
Active Example Selection for In-Context Learning
Yiming Zhang
Shi Feng
Chenhao Tan
SILM
LRM
81
199
0
08 Nov 2022
News Category Dataset
News Category Dataset
Rishabh Misra
SLR
31
104
0
23 Sep 2022
Selective Annotation Makes Language Models Better Few-Shot Learners
Selective Annotation Makes Language Models Better Few-Shot Learners
Hongjin Su
Jungo Kasai
Chen Henry Wu
Weijia Shi
Tianlu Wang
...
Rui Zhang
Mari Ostendorf
Luke Zettlemoyer
Noah A. Smith
Tao Yu
93
256
0
05 Sep 2022
Datamodels: Predicting Predictions from Training Data
Datamodels: Predicting Predictions from Training Data
Andrew Ilyas
Sung Min Park
Logan Engstrom
Guillaume Leclerc
Aleksander Madry
TDI
105
139
0
01 Feb 2022
Learning To Retrieve Prompts for In-Context Learning
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin
Jonathan Herzig
Jonathan Berant
VPVLM
RALM
77
699
0
16 Dec 2021
Cartography Active Learning
Cartography Active Learning
Mike Zhang
Barbara Plank
56
38
0
09 Sep 2021
Revisiting Uncertainty-based Query Strategies for Active Learning with
  Transformers
Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers
Christopher Schröder
A. Niekler
Martin Potthast
52
81
0
12 Jul 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
351
205
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
355
1,370
0
17 Jan 2021
A Survey of Deep Active Learning
A Survey of Deep Active Learning
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Brij B. Gupta
Xiaojiang Chen
Xin Wang
93
1,134
0
30 Aug 2020
Contextual Diversity for Active Learning
Contextual Diversity for Active Learning
Sharat Agarwal
H. Arora
Saket Anand
Chetan Arora
118
167
0
13 Aug 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
342
1,967
0
11 Apr 2020
Quantifying the Carbon Emissions of Machine Learning
Quantifying the Carbon Emissions of Machine Learning
Alexandre Lacoste
A. Luccioni
Victor Schmidt
Thomas Dandres
86
695
0
21 Oct 2019
Benchmarking Natural Language Understanding Services for building
  Conversational Agents
Benchmarking Natural Language Understanding Services for building Conversational Agents
Xingkun Liu
Arash Eshghi
P. Swietojanski
Verena Rieser
ELM
46
257
0
13 Mar 2019
An Empirical Study of Example Forgetting during Deep Neural Network
  Learning
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva
Alessandro Sordoni
Rémi Tachet des Combes
Adam Trischler
Yoshua Bengio
Geoffrey J. Gordon
107
732
0
12 Dec 2018
Meta-Learning: A Survey
Meta-Learning: A Survey
Joaquin Vanschoren
FedML
OOD
60
763
0
08 Oct 2018
Snips Voice Platform: an embedded Spoken Language Understanding system
  for private-by-design voice interfaces
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces
A. Coucke
Alaa Saade
Adrien Ball
Théodore Bluche
A. Caulier
...
Thibault Gisselbrecht
F. Caltagirone
Thibaut Lavril
Maël Primet
Joseph Dureau
SyDa
110
822
0
25 May 2018
Adversarial Active Learning for Deep Networks: a Margin Based Approach
Adversarial Active Learning for Deep Networks: a Margin Based Approach
Mélanie Ducoffe
F. Precioso
GAN
AAML
116
273
0
27 Feb 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
803
11,866
0
09 Mar 2017
Submodular Optimization with Submodular Cover and Submodular Knapsack
  Constraints
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
Rishabh K. Iyer
J. Bilmes
66
259
0
08 Nov 2013
Super-Samples from Kernel Herding
Super-Samples from Kernel Herding
Yutian Chen
Max Welling
Alex Smola
132
337
0
15 Mar 2012
1