ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification

28 January 2021

Papers citing "ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification"

4 / 4 papers shown

Title
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 31 11 0 05 Jun 2022
Generative Conversational Networks Alexandros Papangelis Karthik Gopalakrishnan Aishwarya Padmakumar Seokhwan Kim Gokhan Tur Dilek Z. Hakkani-Tür 21 18 0 15 Jun 2021
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 186 351 0 12 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017