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Few-shot Text Classification with Distributional Signatures

Few-shot Text Classification with Distributional Signatures

16 August 2019
Yujia Bao
Menghua Wu
Shiyu Chang
Regina Barzilay
ArXivPDFHTML

Papers citing "Few-shot Text Classification with Distributional Signatures"

24 / 24 papers shown
Title
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
TCProF: Time-Complexity Prediction SSL Framework
TCProF: Time-Complexity Prediction SSL Framework
Joonghyuk Hahn
Hyeseon Ahn
Jungin Kim
Soohan Lim
Yo-Sub Han
37
0
0
10 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
25
0
0
12 Nov 2024
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named
  Entity Recognition
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition
Haojie Zhang
Yimeng Zhuang
38
0
0
26 Apr 2024
ICL Markup: Structuring In-Context Learning using Soft-Token Tags
ICL Markup: Structuring In-Context Learning using Soft-Token Tags
Marc-Etienne Brunet
Ashton Anderson
R. Zemel
21
4
0
12 Dec 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
16
26
0
04 Mar 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
23
5
0
16 Nov 2022
Prompt-Based Metric Learning for Few-Shot NER
Prompt-Based Metric Learning for Few-Shot NER
Yanru Chen
Yanan Zheng
Zhilin Yang
VLM
34
27
0
08 Nov 2022
Few-shot Named Entity Recognition with Entity-level Prototypical Network
  Enhanced by Dispersedly Distributed Prototypes
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes
Bin Ji
Shasha Li
Shaoduo Gan
Jie Yu
Jun Ma
Huijun Liu
18
32
0
17 Aug 2022
Provable Generalization of Overparameterized Meta-learning Trained with
  SGD
Provable Generalization of Overparameterized Meta-learning Trained with SGD
Yu Huang
Yingbin Liang
Longbo Huang
MLT
24
8
0
18 Jun 2022
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with
  Mixture Attention Mechanism
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism
Han Liu
Siyang Zhao
Xiaotong Zhang
Feng Zhang
Ju Sun
Hong Yu
Xianchao Zhang
VLM
26
11
0
05 Jun 2022
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text
  Classification
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification
Jianhai Zhang
M. Maimaiti
Xing Gao
Yuanhang Zheng
Ji Zhang
11
9
0
11 Apr 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
20
21
0
17 Mar 2022
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
16
19
0
23 Jul 2021
Learning Stable Classifiers by Transferring Unstable Features
Learning Stable Classifiers by Transferring Unstable Features
Yujia Bao
Shiyu Chang
Regina Barzilay
OOD
11
8
0
15 Jun 2021
Few-shot Conformal Prediction with Auxiliary Tasks
Few-shot Conformal Prediction with Auxiliary Tasks
Adam Fisch
Tal Schuster
Tommi Jaakkola
Regina Barzilay
176
53
0
17 Feb 2021
Facilitating Knowledge Sharing from Domain Experts to Data Scientists
  for Building NLP Models
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models
Soya Park
A. Wang
B. Kawas
Q. V. Liao
David Piorkowski
Marina Danilevsky
51
55
0
29 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
241
1,916
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
11
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
20
61
0
06 Oct 2020
When does MAML Work the Best? An Empirical Study on Model-Agnostic
  Meta-Learning in NLP Applications
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications
Zequn Liu
Ruiyi Zhang
Yiping Song
Wei Ju
Ming Zhang
12
8
0
24 May 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
38
1,926
0
11 Apr 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
281
11,677
0
09 Mar 2017
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
250
13,360
0
25 Aug 2014
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