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The Devil is in the Details: On Models and Training Regimes for Few-Shot
  Intent Classification

The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification

12 October 2022
Mohsen Mesgar
Thy Thy Tran
Goran Glavas
Iryna Gurevych
ArXivPDFHTML

Papers citing "The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification"

3 / 3 papers shown
Title
IntenDD: A Unified Contrastive Learning Approach for Intent Detection
  and Discovery
IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery
Bhavuk Singhal
Ashim Gupta
P. ShivasankaranV
Amrith Krishna
27
1
0
25 Oct 2023
Pseudo Siamese Network for Few-shot Intent Generation
Pseudo Siamese Network for Few-shot Intent Generation
Congying Xia
Caiming Xiong
Philip Yu
ViT
58
21
0
03 May 2021
Efficient Intent Detection with Dual Sentence Encoders
Efficient Intent Detection with Dual Sentence Encoders
I. Casanueva
Tadas Temvcinas
D. Gerz
Matthew Henderson
Ivan Vulić
VLM
180
453
0
10 Mar 2020
1