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Learning to Few-Shot Learn Across Diverse Natural Language
  Classification Tasks

Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks

10 November 2019
Trapit Bansal
Rishikesh Jha
Andrew McCallum
    SSL
ArXivPDFHTML

Papers citing "Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks"

39 / 39 papers shown
Title
MetaXCR: Reinforcement-Based Meta-Transfer Learning for Cross-Lingual Commonsense Reasoning
Jie He
Yu Fu
OffRL
LRM
71
2
0
09 Mar 2025
Graph-based Retrieval Augmented Generation for Dynamic Few-shot Text Classification
Graph-based Retrieval Augmented Generation for Dynamic Few-shot Text Classification
Yubo Wang
Haoyang Li
Fei Teng
Lei Chen
91
1
0
17 Feb 2025
Valuable Hallucinations: Realizable Non-realistic Propositions
Valuable Hallucinations: Realizable Non-realistic Propositions
Qiucheng Chen
Bo Wang
LRM
59
0
0
16 Feb 2025
An Evaluation of Large Language Models in Bioinformatics Research
An Evaluation of Large Language Models in Bioinformatics Research
Hengchuang Yin
Zhonghui Gu
Fanhao Wang
Yiparemu Abuduhaibaier
Yanqiao Zhu
Xinming Tu
Xian-Sheng Hua
Xiao Luo
Yizhou Sun
LM&MA
38
8
0
21 Feb 2024
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt
  Engineer
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
Junyuan Hong
Jiachen T. Wang
Chenhui Zhang
Zhangheng Li
Bo-wen Li
Zhangyang Wang
48
29
0
27 Nov 2023
Improving Few-shot Generalization of Safety Classifiers via Data
  Augmented Parameter-Efficient Fine-Tuning
Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning
Ananth Balashankar
Xiao Ma
Aradhana Sinha
Ahmad Beirami
Yao Qin
Jilin Chen
Alex Beutel
24
2
0
25 Oct 2023
Advances and Challenges in Meta-Learning: A Technical Review
Advances and Challenges in Meta-Learning: A Technical Review
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
29
70
0
10 Jul 2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot
  Text Classification Tasks
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks
Haoqi Zheng
Qihuang Zhong
Liang Ding
Zhiliang Tian
Xin-Yi Niu
Dongsheng Li
Dacheng Tao
VLM
43
6
0
22 May 2023
AGI for Agriculture
AGI for Agriculture
Guoyu Lu
Sheng Li
Gengchen Mai
Jin Sun
Dajiang Zhu
...
R. Xu
Daniel Petti
Changying Li
Tianming Liu
Changying Li
AI4CE
48
17
0
12 Apr 2023
Meta-Shop: Improving Item Advertisement For Small Businesses
Meta-Shop: Improving Item Advertisement For Small Businesses
Yang Shi
Guannan Liang
Young-joo Chung
30
0
0
02 Dec 2022
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning
Shachar Don-Yehiya
Elad Venezian
Colin Raffel
Noam Slonim
Yoav Katz
Leshem Choshen
MoMe
28
52
0
02 Dec 2022
SOLD: Sinhala Offensive Language Dataset
SOLD: Sinhala Offensive Language Dataset
Tharindu Ranasinghe
Isuri Anuradha
Damith Premasiri
Kanishka Silva
Hansi Hettiarachchi
Lasitha Uyangodage
Marcos Zampieri
41
8
0
01 Dec 2022
Revisiting Distance Metric Learning for Few-Shot Natural Language
  Classification
Revisiting Distance Metric Learning for Few-Shot Natural Language Classification
Witold Sosnowski
Anna Wróblewska
Karolina Seweryn
P. Gawrysiak
21
0
0
28 Nov 2022
Distance Metric Learning Loss Functions in Few-Shot Scenarios of
  Supervised Language Models Fine-Tuning
Distance Metric Learning Loss Functions in Few-Shot Scenarios of Supervised Language Models Fine-Tuning
Witold Sosnowski
Karolina Seweryn
Anna Wróblewska
P. Gawrysiak
26
0
0
28 Nov 2022
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 Clustering
Juan Zha
Zheng Li
Ying Wei
Yu Zhang
31
5
0
16 Nov 2022
Few-Shot Character Understanding in Movies as an Assessment to
  Meta-Learning of Theory-of-Mind
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind
Mo Yu
Qiujing Wang
Shunchi Zhang
Yisi Sang
Kangsheng Pu
...
Han Wang
Liyan Xu
Jing Li
Yue Yu
Jie Zhou
32
19
0
09 Nov 2022
Learning New Tasks from a Few Examples with Soft-Label Prototypes
Learning New Tasks from a Few Examples with Soft-Label Prototypes
Avyav Kumar Singh
Ekaterina Shutova
H. Yannakoudakis
VLM
33
0
0
31 Oct 2022
Meta-learning Pathologies from Radiology Reports using Variance Aware
  Prototypical Networks
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks
Arijit Sehanobish
Kawshik Kannan
Nabila Abraham
Anasuya Das
Benjamin Odry
VLM
26
0
0
22 Oct 2022
Continued Pretraining for Better Zero- and Few-Shot Promptability
Continued Pretraining for Better Zero- and Few-Shot Promptability
Zhaofeng Wu
IV RobertL.Logan
Pete Walsh
Akshita Bhagia
Dirk Groeneveld
Sameer Singh
Iz Beltagy
VLM
44
12
0
19 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 review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
127
94
0
06 Oct 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
27
9
0
19 Jul 2022
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot
  Learners
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners
Canyu Chen
Kai Shu
VLM
31
8
0
18 May 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture
  Search for Few-Shot Learning
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
Haoxiang Wang
Yite Wang
Ruoyu Sun
Bo-wen Li
29
27
0
17 Mar 2022
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
Trapit Bansal
K. Gunasekaran
Tong Wang
Tsendsuren Munkhdalai
Andrew McCallum
SSL
OOD
51
19
0
02 Nov 2021
Controllable Semantic Parsing via Retrieval Augmentation
Controllable Semantic Parsing via Retrieval Augmentation
Panupong Pasupat
Yuan Zhang
Kelvin Guu
132
47
0
16 Oct 2021
Prompt-tuning in ASR systems for efficient domain-adaptation
Prompt-tuning in ASR systems for efficient domain-adaptation
Saket Dingliwal
Ashish Shenoy
S. Bodapati
Ankur Gandhe
R. Gadde
Katrin Kirchhoff
32
3
0
13 Oct 2021
Knowledge-Aware Meta-learning for Low-Resource Text Classification
Knowledge-Aware Meta-learning for Low-Resource Text Classification
Huaxiu Yao
Yingxin Wu
Maruan Al-Shedivat
Eric Xing
VLM
CLIP
69
11
0
10 Sep 2021
FLEX: Unifying Evaluation for Few-Shot NLP
FLEX: Unifying Evaluation for Few-Shot NLP
Jonathan Bragg
Arman Cohan
Kyle Lo
Iz Beltagy
205
104
0
15 Jul 2021
Meta-Learning with Variational Semantic Memory for Word Sense
  Disambiguation
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation
Yingjun Du
Nithin Holla
Xiantong Zhen
Cees G. M. Snoek
Ekaterina Shutova
33
9
0
05 Jun 2021
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages
Edoardo Ponti
Rahul Aralikatte
Disha Shrivastava
Siva Reddy
Anders Søgaard
40
16
0
02 Jun 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in
  NLP
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
223
180
0
18 Apr 2021
Masked Language Modeling and the Distributional Hypothesis: Order Word
  Matters Pre-training for Little
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
Koustuv Sinha
Robin Jia
Dieuwke Hupkes
J. Pineau
Adina Williams
Douwe Kiela
45
243
0
14 Apr 2021
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots
  Matters
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters
Mengjie Zhao
Yi Zhu
Ehsan Shareghi
Ivan Vulić
Roi Reichart
Anna Korhonen
Hinrich Schütze
32
64
0
31 Dec 2020
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue
  Generation
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
Shuai Lin
Pan Zhou
Xiaodan Liang
Jianheng Tang
Ruihui Zhao
Ziliang Chen
Liang Lin
MedIm
33
53
0
22 Dec 2020
Self-Supervised Meta-Learning for Few-Shot Natural Language
  Classification Tasks
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks
Trapit Bansal
Rishikesh Jha
Tsendsuren Munkhdalai
Andrew McCallum
SSL
VLM
22
87
0
17 Sep 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense
  Disambiguation
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
Nithin Holla
Pushkar Mishra
H. Yannakoudakis
Ekaterina Shutova
32
28
0
29 Apr 2020
Zero-shot Text Classification With Generative Language Models
Zero-shot Text Classification With Generative Language Models
Raul Puri
Bryan Catanzaro
VLM
21
102
0
10 Dec 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
299
6,984
0
20 Apr 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
389
11,700
0
09 Mar 2017
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