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Discriminative Nearest Neighbor Few-Shot Intent Detection by
  Transferring Natural Language Inference

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference

25 October 2020
Jianguo Zhang
Kazuma Hashimoto
Wenhao Liu
Chien-Sheng Wu
Yao Wan
Philip S. Yu
R. Socher
Caiming Xiong
ArXivPDFHTML

Papers citing "Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference"

19 / 19 papers shown
Title
New Intent Discovery with Pre-training and Contrastive Learning
New Intent Discovery with Pre-training and Contrastive Learning
Yuwei Zhang
Haode Zhang
Li-Ming Zhan
Albert Y.S. Lam
Albert Y. S. Lam
SSL
VLM
94
42
0
25 May 2022
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented
  Dialogue
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue
Chien-Sheng Wu
Guosheng Lin
R. Socher
Caiming Xiong
51
321
0
15 Apr 2020
Pretrained Transformers Improve Out-of-Distribution Robustness
Pretrained Transformers Improve Out-of-Distribution Robustness
Dan Hendrycks
Xiaoyuan Liu
Eric Wallace
Adam Dziedzic
R. Krishnan
D. Song
OOD
122
430
0
13 Apr 2020
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question
  Answering
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
Akari Asai
Kazuma Hashimoto
Hannaneh Hajishirzi
R. Socher
Caiming Xiong
RALM
KELM
LRM
75
286
0
24 Nov 2019
ConveRT: Efficient and Accurate Conversational Representations from
  Transformers
ConveRT: Efficient and Accurate Conversational Representations from Transformers
Matthew Henderson
I. Casanueva
Nikola Mrkvsić
Pei-hao Su
Tsung-Hsien
Ivan Vulić
58
196
0
09 Nov 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and
  lighter
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
126
7,437
0
02 Oct 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
636
11,979
0
27 Aug 2019
When Low Resource NLP Meets Unsupervised Language Model:
  Meta-pretraining Then Meta-learning for Few-shot Text Classification
When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text Classification
Shumin Deng
Ningyu Zhang
Zhanlin Sun
Jiaoyan Chen
Huajun Chen
VLM
39
45
0
22 Aug 2019
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index
Minjoon Seo
Jinhyuk Lee
Tom Kwiatkowski
Ankur P. Parikh
Ali Farhadi
Hannaneh Hajishirzi
RALM
45
156
0
13 Jun 2019
When Does Label Smoothing Help?
When Does Label Smoothing Help?
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
UQCV
134
1,931
0
06 Jun 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text
  Classification Tasks
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
Jason W. Wei
Kai Zou
78
1,931
0
31 Jan 2019
Marrying up Regular Expressions with Neural Networks: A Case Study for
  Spoken Language Understanding
Marrying up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding
Bingfeng Luo
Yansong Feng
Zheng Wang
Songfang Huang
Rui Yan
Dongyan Zhao
68
39
0
15 May 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
203
4,035
0
16 Nov 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
397
4,444
0
18 Apr 2017
Reading Wikipedia to Answer Open-Domain Questions
Reading Wikipedia to Answer Open-Domain Questions
Danqi Chen
Adam Fisch
Jason Weston
Antoine Bordes
RALM
96
2,003
0
31 Mar 2017
Question Answering from Unstructured Text by Retrieval and Comprehension
Question Answering from Unstructured Text by Retrieval and Comprehension
Yusuke Watanabe
Bhuwan Dhingra
Ruslan Salakhutdinov
RALM
43
18
0
26 Mar 2017
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
759
11,793
0
09 Mar 2017
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUs
Jeff Johnson
Matthijs Douze
Hervé Jégou
170
3,696
0
28 Feb 2017
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
290
7,299
0
13 Jun 2016
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