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Diverse Few-Shot Text Classification with Multiple Metrics

Diverse Few-Shot Text Classification with Multiple Metrics

19 May 2018
Mo Yu
Xiaoxiao Guo
Jinfeng Yi
Shiyu Chang
Saloni Potdar
Yu Cheng
Gerald Tesauro
Haoyu Wang
Bowen Zhou
ArXivPDFHTML

Papers citing "Diverse Few-Shot Text Classification with Multiple Metrics"

49 / 49 papers shown
Title
Valuable Hallucinations: Realizable Non-realistic Propositions
Valuable Hallucinations: Realizable Non-realistic Propositions
Qiucheng Chen
Bo Wang
LRM
59
0
0
16 Feb 2025
CryptoLLM: Unleashing the Power of Prompted LLMs for SmartQnA and Classification of Crypto Posts
CryptoLLM: Unleashing the Power of Prompted LLMs for SmartQnA and Classification of Crypto Posts
Aniket Deroy
Subhankar Maity
30
0
0
12 Nov 2024
A Comprehensive Review of Few-shot Action Recognition
A Comprehensive Review of Few-shot Action Recognition
Yuyang Wanyan
Xiaoshan Yang
Weiming Dong
Changsheng Xu
VLM
80
3
0
20 Jul 2024
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
A Multi-Granularity Matching Attention Network for Query Intent
  Classification in E-commerce Retrieval
A Multi-Granularity Matching Attention Network for Query Intent Classification in E-commerce Retrieval
Chunyuan Yuan
Yiming Qiu
Mingming Li
Haiqing Hu
Songlin Wang
Sulong Xu
13
7
0
28 Mar 2023
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection
Rabiul Awal
Roy Ka-Wei Lee
Eshaan Tanwar
Tanmay Garg
Tanmoy Chakraborty
24
26
0
04 Mar 2023
Exploring Data Augmentation Methods on Social Media Corpora
Exploring Data Augmentation Methods on Social Media Corpora
Isabel Garcia Pietri
Kineret Stanley
35
0
0
03 Mar 2023
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code
  Models
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models
Changan Niu
Chuanyi Li
Vincent Ng
Bin Luo
ELM
ALM
34
9
0
08 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 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
34
19
0
09 Nov 2022
Few-Shot Learning on Graphs
Few-Shot Learning on Graphs
Chuxu Zhang
Kaize Ding
Jundong Li
Xiangliang Zhang
Yanfang Ye
Nitesh V. Chawla
Huan Liu
30
18
0
17 Mar 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
31
27
0
17 Mar 2022
Semantic-aligned Fusion Transformer for One-shot Object Detection
Semantic-aligned Fusion Transformer for One-shot Object Detection
Yizhou Zhao
Xun Guo
Yan Lu
ViT
ObjD
22
21
0
17 Mar 2022
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
36
157
0
07 Mar 2022
Similarity Learning based Few Shot Learning for ECG Time Series
  Classification
Similarity Learning based Few Shot Learning for ECG Time Series Classification
Priyanka Gupta
Sathvik Bhaskarpandit
Manik Gupta
22
14
0
31 Jan 2022
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language
  Understanding
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding
Qianying Liu
Fei Cheng
Sadao Kurohashi
14
1
0
10 Nov 2021
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
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
119
356
0
04 Oct 2021
Discrete and Soft Prompting for Multilingual Models
Discrete and Soft Prompting for Multilingual Models
Mengjie Zhao
Hinrich Schütze
LRM
18
71
0
08 Sep 2021
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization
  for Out-of-Domain Detection
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection
Iftitahu Ni'mah
Meng Fang
Vlado Menkovski
Mykola Pechenizkiy
35
5
0
27 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
35
19
0
23 Jul 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
Incremental Few-shot Text Classification with Multi-round New Classes:
  Formulation, Dataset and System
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
Congyin Xia
Wenpeng Yin
Yihao Feng
Philip Yu
CLL
VLM
27
51
0
24 Apr 2021
Revisiting Few-shot Relation Classification: Evaluation Data and
  Classification Schemes
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes
O. Sabo
Yanai Elazar
Yoav Goldberg
Ido Dagan
27
38
0
17 Apr 2021
Few-shot Intent Classification and Slot Filling with Retrieved Examples
Few-shot Intent Classification and Slot Filling with Retrieved Examples
Dian Yu
Luheng He
Yuan Zhang
Xinya Du
Panupong Pasupat
Qi Li
VLM
28
50
0
12 Apr 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
243
1,927
0
31 Dec 2020
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
Few-shot Learning for Multi-label Intent Detection
Few-shot Learning for Multi-label Intent Detection
Yutai Hou
Y. Lai
Yushan Wu
Wanxiang Che
Ting Liu
VLM
21
48
0
11 Oct 2020
Simple and Effective Few-Shot Named Entity Recognition with Structured
  Nearest Neighbor Learning
Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning
Yi Yang
Arzoo Katiyar
NAI
28
61
0
06 Oct 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
27
87
0
17 Sep 2020
What Are People Asking About COVID-19? A Question Classification Dataset
What Are People Asking About COVID-19? A Question Classification Dataset
Jerry W. Wei
Chengyu Huang
Soroush Vosoughi
Jason W. Wei
11
34
0
26 May 2020
Text Classification with Few Examples using Controlled Generalization
Text Classification with Few Examples using Controlled Generalization
A. Mahabal
Jason Baldridge
Burcu Karagol Ayan
Vincent Perot
Dan Roth
OOD
AI4CE
24
11
0
18 May 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
37
28
0
29 Apr 2020
Learning Fast Adaptation on Cross-Accented Speech Recognition
Learning Fast Adaptation on Cross-Accented Speech Recognition
Genta Indra Winata
Samuel Cahyawijaya
Zihan Liu
Zhaojiang Lin
Andrea Madotto
Peng Xu
Pascale Fung
52
80
0
04 Mar 2020
Few-shot acoustic event detection via meta-learning
Few-shot acoustic event detection via meta-learning
Bowen Shi
Ming Sun
Krishna C. Puvvada
Chieh-Chi Kao
Spyros Matsoukas
Chao Wang
22
60
0
21 Feb 2020
Exploiting the Matching Information in the Support Set for Few Shot
  Event Classification
Exploiting the Matching Information in the Support Set for Few Shot Event Classification
Viet Dac Lai
Franck Dernoncourt
Thien Huu Nguyen
20
40
0
13 Feb 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,591
0
21 Jan 2020
Meta-Learning with Dynamic-Memory-Based Prototypical Network for
  Few-Shot Event Detection
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection
Shumin Deng
Ningyu Zhang
Jiaojian Kang
Yichi Zhang
Wei Zhang
Huajun Chen
31
130
0
25 Oct 2019
Meta-learning for robust child-adult classification from speech
Meta-learning for robust child-adult classification from speech
Nithin Rao Koluguri
Manoj Kumar
So Hyun Kim
C. Lord
Shrikanth Narayanan
22
19
0
24 Oct 2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent
  Classification
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification
Varun Kumar
Hadrien Glaude
Cyprien de Lichy
William Campbell
26
83
0
09 Oct 2019
Bridging the domain gap in cross-lingual document classification
Bridging the domain gap in cross-lingual document classification
Guokun Lai
Barlas Oğuz
Yiming Yang
Veselin Stoyanov
VLM
32
14
0
16 Sep 2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words
Few-Shot Representation Learning for Out-Of-Vocabulary Words
Ziniu Hu
Ting-Li Chen
Kai-Wei Chang
Yizhou Sun
21
76
0
01 Jul 2019
Personalizing Dialogue Agents via Meta-Learning
Personalizing Dialogue Agents via Meta-Learning
Zhaojiang Lin
Andrea Madotto
Chien-Sheng Wu
Pascale Fung
58
180
0
24 May 2019
Few-shot Learning with Meta Metric Learners
Few-shot Learning with Meta Metric Learners
Yu Cheng
Mo Yu
Xiaoxiao Guo
Bowen Zhou
30
19
0
26 Jan 2019
FewRel: A Large-Scale Supervised Few-Shot Relation Classification
  Dataset with State-of-the-Art Evaluation
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
Xu Han
Hao Zhu
Pengfei Yu
Ziyun Wang
Yuan Yao
Zhiyuan Liu
Maosong Sun
SLR
19
602
0
24 Oct 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
410
11,700
0
09 Mar 2017
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
273
13,368
0
25 Aug 2014
Learning Task Grouping and Overlap in Multi-task Learning
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
184
525
0
27 Jun 2012
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