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Self-Supervised Meta-Learning for Few-Shot Natural Language
  Classification Tasks
v1v2 (latest)

Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
17 September 2020
Trapit Bansal
Rishikesh Jha
Tsendsuren Munkhdalai
Andrew McCallum
    SSLVLM
ArXiv (abs)PDFHTML

Papers citing "Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks"

50 / 54 papers shown
Directed-MAML: Meta Reinforcement Learning Algorithm with Task-directed Approximation
Directed-MAML: Meta Reinforcement Learning Algorithm with Task-directed Approximation
Yang Zhang
Huiwen Yan
Mushuang Liu
118
0
0
30 Sep 2025
Pico: A Modular Framework for Hypothesis-Driven Small Language Model Research
Pico: A Modular Framework for Hypothesis-Driven Small Language Model Research
Richard Diehl Martinez
David Demitri Africa
Yuval Weiss
Suchir Salhan
Ryan Daniels
P. Buttery
144
1
0
19 Sep 2025
Meta-Pretraining for Zero-Shot Cross-Lingual Named Entity Recognition in Low-Resource Philippine Languages
Meta-Pretraining for Zero-Shot Cross-Lingual Named Entity Recognition in Low-Resource Philippine Languages
David Demitri Africa
Suchir Salhan
Yuval Weiss
P. Buttery
Richard Diehl Martinez
164
1
0
02 Sep 2025
Learning Dynamics of Meta-Learning in Small Model Pretraining
Learning Dynamics of Meta-Learning in Small Model Pretraining
David Demitri Africa
Yuval Weiss
P. Buttery
Richard Diehl Martinez
AI4CE
194
2
0
04 Aug 2025
Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide
Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide
Márton Szép
Daniel Rueckert
Rüdiger von Eisenhart-Rothe
Florian Hinterwimmer
SyDaALM
585
6
0
14 Nov 2024
MetaRM: Shifted Distributions Alignment via Meta-Learning
MetaRM: Shifted Distributions Alignment via Meta-Learning
Jiajun Sun
Yan Liu
Enyu Zhou
Changze Lv
Haoxiang Jia
...
Junjie Ye
Rui Zheng
Tao Gui
Tao Gui
Xuanjing Huang
OOD
424
3
0
01 May 2024
Analyzing the Roles of Language and Vision in Learning from Limited Data
Analyzing the Roles of Language and Vision in Learning from Limited Data
Allison Chen
Ilia Sucholutsky
Olga Russakovsky
Thomas Griffiths
VLM
280
5
0
15 Feb 2024
Retrieval-Augmented Meta Learning for Low-Resource Text Classification
Retrieval-Augmented Meta Learning for Low-Resource Text ClassificationIEEE International Joint Conference on Neural Network (IJCNN), 2023
Rongsheng Li
Yongqian Li
Hai-Tao Zheng
Chaiyut Luoyiching
Hai-Tao Zheng
Nannan Zhou
Hanjing Su
RALM
240
2
0
10 Sep 2023
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning
Wenwen Qiang
Changwen Zheng
Jingyao Wang
Changwen Zheng
SSL
209
1
0
28 Aug 2023
Advances and Challenges in Meta-Learning: A Technical Review
Advances and Challenges in Meta-Learning: A Technical ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
235
184
0
10 Jul 2023
Meta-training with Demonstration Retrieval for Efficient Few-shot
  Learning
Meta-training with Demonstration Retrieval for Efficient Few-shot LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Aaron Mueller
Kanika Narang
Lambert Mathias
Qifan Wang
Hamed Firooz
RALM
223
3
0
30 Jun 2023
Towards Reliable Neural Machine Translation with Consistency-Aware
  Meta-Learning
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Rongxiang Weng
Qiang Wang
Wensen Cheng
Changfeng Zhu
Min Zhang
289
3
0
20 Mar 2023
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary
  Data
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary DataNeural Information Processing Systems (NeurIPS), 2023
Alon Albalak
Colin Raffel
William Yang Wang
306
13
0
01 Feb 2023
Disentangling Task Relations for Few-shot Text Classification via
  Self-Supervised Hierarchical Task Clustering
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task ClusteringConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Juan Zha
Zheng Li
Ying Wei
Yu Zhang
286
6
0
16 Nov 2022
Learning New Tasks from a Few Examples with Soft-Label Prototypes
Learning New Tasks from a Few Examples with Soft-Label PrototypesWorkshop on Representation Learning for NLP (RepL4NLP), 2022
Avyav Kumar Singh
Ekaterina Shutova
H. Yannakoudakis
VLM
288
2
0
31 Oct 2022
Don't Prompt, Search! Mining-based Zero-Shot Learning with Language
  Models
Don't Prompt, Search! Mining-based Zero-Shot Learning with Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Mozes van de Kar
Mengzhou Xia
Danqi Chen
Mikel Artetxe
154
18
0
26 Oct 2022
TAPE: Assessing Few-shot Russian Language Understanding
TAPE: Assessing Few-shot Russian Language UnderstandingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Ekaterina Taktasheva
Tatiana Shavrina
Alena Fenogenova
Denis Shevelev
Nadezhda Katricheva
...
Svetlana Iordanskaia
Alena Spiridonova
Valentina Kurenshchikova
Ekaterina Artemova
Vladislav Mikhailov
AAML
155
14
0
23 Oct 2022
Meta-learning Pathologies from Radiology Reports using Variance Aware
  Prototypical Networks
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical NetworksConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Arijit Sehanobish
Kawshik Kannan
Nabila Abraham
Anasuya Das
Benjamin Odry
VLM
228
2
0
22 Oct 2022
Continued Pretraining for Better Zero- and Few-Shot Promptability
Continued Pretraining for Better Zero- and Few-Shot PromptabilityConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Zhaofeng Wu
IV RobertL.Logan
Pete Walsh
Akshita Bhagia
Dirk Groeneveld
Sameer Singh
Iz Beltagy
VLM
228
15
0
19 Oct 2022
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task
  Generalization
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task GeneralizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Yuxian Gu
Pei Ke
Xiaoyan Zhu
Shiyu Huang
ALM
226
19
0
17 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and reviewNature Machine Intelligence (Nat. Mach. Intell.), 2022
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Robert Bamler
Zhijing Jin
631
131
0
06 Oct 2022
Adaptive Meta-learner via Gradient Similarity for Few-shot Text
  Classification
Adaptive Meta-learner via Gradient Similarity for Few-shot Text ClassificationInternational Conference on Computational Linguistics (COLING), 2022
Tianyi Lei
Honghui Hu
Qiaoyang Luo
Dezhong Peng
Xu Wang
168
13
0
10 Sep 2022
Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence
  Models
Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence Models
Jared Lichtarge
Chris Alberti
Shankar Kumar
226
5
0
10 Sep 2022
FactMix: Using a Few Labeled In-domain Examples to Generalize to
  Cross-domain Named Entity Recognition
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity RecognitionInternational Conference on Computational Linguistics (COLING), 2022
Linyi Yang
Lifan Yuan
Leyang Cui
Wen Gao
Yue Zhang
308
17
0
24 Aug 2022
On the cross-lingual transferability of multilingual prototypical models
  across NLU tasks
On the cross-lingual transferability of multilingual prototypical models across NLU tasks
Oralie Cattan
Christophe Servan
S. Rosset
145
11
0
19 Jul 2022
Persian Natural Language Inference: A Meta-learning approach
Persian Natural Language Inference: A Meta-learning approachInternational Conference on Computational Linguistics (COLING), 2022
Heydar Soudani
Mohammadreza Mojab
H. Beigy
211
1
0
18 May 2022
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain DialogueConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Alon Albalak
Yi-Lin Tuan
Pegah Jandaghi
Connor Pryor
Luke Yoffe
Deepak Ramachandran
Lise Getoor
Jay Pujara
William Yang Wang
192
14
0
12 May 2022
Improving In-Context Few-Shot Learning via Self-Supervised Training
Improving In-Context Few-Shot Learning via Self-Supervised TrainingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Mingda Chen
Jingfei Du
Ramakanth Pasunuru
Todor Mihaylov
Srini Iyer
Ves Stoyanov
Zornitsa Kozareva
SSLAI4MH
310
77
0
03 May 2022
Meta Learning for Natural Language Processing: A Survey
Meta Learning for Natural Language Processing: A SurveyNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Hung-yi Lee
Shang-Wen Li
Ngoc Thang Vu
343
51
0
03 May 2022
Contrastive Learning for Prompt-Based Few-Shot Language Learners
Contrastive Learning for Prompt-Based Few-Shot Language LearnersNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Yiren Jian
Chongyang Gao
Soroush Vosoughi
VLM
199
39
0
03 May 2022
Embedding Hallucination for Few-Shot Language Fine-tuning
Embedding Hallucination for Few-Shot Language Fine-tuningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Yiren Jian
Chongyang Gao
Soroush Vosoughi
296
4
0
03 May 2022
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text
  Classification
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text ClassificationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Jianhai Zhang
M. Maimaiti
Xing Gao
Yuanhang Zheng
Ji Zhang
230
9
0
11 Apr 2022
Meta-X$_{NLG}$: A Meta-Learning Approach Based on Language Clustering
  for Zero-Shot Cross-Lingual Transfer and Generation
Meta-XNLG_{NLG}NLG​: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and GenerationFindings (Findings), 2022
Kaushal Kumar Maurya
M. Desarkar
228
9
0
19 Mar 2022
Grad2Task: Improved Few-shot Text Classification Using Gradients for
  Task Representation
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task RepresentationNeural Information Processing Systems (NeurIPS), 2022
Jixuan Wang
Kuan-Chieh Wang
Frank Rudzicz
M. Brudno
VLM
147
24
0
27 Jan 2022
AcTune: Uncertainty-aware Active Self-Training for Semi-Supervised
  Active Learning with Pretrained Language Models
AcTune: Uncertainty-aware Active Self-Training for Semi-Supervised Active Learning with Pretrained Language Models
Yue Yu
Lingkai Kong
Jieyu Zhang
Rongzhi Zhang
Chao Zhang
174
2
0
16 Dec 2021
Improving Both Domain Robustness and Domain Adaptability in Machine
  Translation
Improving Both Domain Robustness and Domain Adaptability in Machine Translation
Wen Lai
Jindrich Libovický
Kangyang Luo
AI4CE
263
17
0
15 Dec 2021
Sharing to learn and learning to share; Fitting together Meta-Learning,
  Multi-Task Learning, and Transfer Learning: A meta review
Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review
Richa Upadhyay
Ronald Phlypo
Rajkumar Saini
Marcus Liwicki
CLL
433
5
0
23 Nov 2021
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
Subhabrata Mukherjee
Xiaodong Liu
Guoqing Zheng
Saghar Hosseini
Hao Cheng
Greg Yang
Christopher Meek
Ahmed Hassan Awadallah
Jianfeng Gao
ELM
158
12
0
04 Nov 2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLPConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Trapit Bansal
K. Gunasekaran
Tong Wang
Tsendsuren Munkhdalai
Andrew McCallum
SSLOOD
184
21
0
02 Nov 2021
Squeezing Backbone Feature Distributions to the Max for Efficient
  Few-Shot Learning
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning
Yuqing Hu
Vincent Gripon
S. Pateux
168
39
0
18 Oct 2021
Revisiting Self-Training for Few-Shot Learning of Language Model
Revisiting Self-Training for Few-Shot Learning of Language Model
Yiming Chen
Yan Zhang
Chen Zhang
Grandee Lee
Ran Cheng
Haizhou Li
134
45
0
04 Oct 2021
STraTA: Self-Training with Task Augmentation for Better Few-shot
  Learning
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning
Tu Vu
Minh-Thang Luong
Quoc V. Le
Grady Simon
Mohit Iyyer
407
62
0
13 Sep 2021
Knowledge-Aware Meta-learning for Low-Resource Text Classification
Knowledge-Aware Meta-learning for Low-Resource Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Huaxiu Yao
Yingxin Wu
Maruan Al-Shedivat
Eric Xing
VLMCLIP
263
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0
10 Sep 2021
$k$Folden: $k$-Fold Ensemble for Out-Of-Distribution Detection
kkkFolden: kkk-Fold Ensemble for Out-Of-Distribution DetectionConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Xiaoya Li
Jiwei Li
Xiaofei Sun
Chun Fan
Tianwei Zhang
Leilei Gan
Yuxian Meng
Jun Zhang
FedMLOODD
152
13
0
29 Aug 2021
Noisy Channel Language Model Prompting for Few-Shot Text Classification
Noisy Channel Language Model Prompting for Few-Shot Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Sewon Min
Michael Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
VLM
401
233
0
09 Aug 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback
Mike Wu
Noah D. Goodman
Chris Piech
Chelsea Finn
251
23
0
23 Jul 2021
FLEX: Unifying Evaluation for Few-Shot NLP
FLEX: Unifying Evaluation for Few-Shot NLPNeural Information Processing Systems (NeurIPS), 2021
Jonathan Bragg
Arman Cohan
Kyle Lo
Iz Beltagy
414
111
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15 Jul 2021
Meta-Learning with Variational Semantic Memory for Word Sense
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Meta-Learning with Variational Semantic Memory for Word Sense DisambiguationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Yingjun Du
Nithin Holla
Xiantong Zhen
Cees G. M. Snoek
Ekaterina Shutova
177
9
0
05 Jun 2021
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot
  Meta-Learning
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-LearningNeural Information Processing Systems (NeurIPS), 2021
Nan Ding
Xi Chen
Tomer Levinboim
Sebastian Goodman
Radu Soricut
194
34
0
28 May 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in
  NLP
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLPConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
635
195
0
18 Apr 2021
12
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