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Classical Sequence Match is a Competitive Few-Shot One-Class Learner

Classical Sequence Match is a Competitive Few-Shot One-Class Learner

14 September 2022
Mengting Hu
H. Gao
Yinhao Bai
Mingming Liu
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Papers citing "Classical Sequence Match is a Competitive Few-Shot One-Class Learner"

16 / 16 papers shown
Title
News Category Dataset
News Category Dataset
Rishabh Misra
SLR
45
104
0
23 Sep 2022
Transformer Based Multi-Source Domain Adaptation
Transformer Based Multi-Source Domain Adaptation
Dustin Wright
Isabelle Augenstein
58
53
0
16 Sep 2020
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Suchin Gururangan
Ana Marasović
Swabha Swayamdipta
Kyle Lo
Iz Beltagy
Doug Downey
Noah A. Smith
VLM
AI4CE
CLL
145
2,423
0
23 Apr 2020
Learning to Customize Model Structures for Few-shot Dialogue Generation
  Tasks
Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks
Yiping Song
Zequn Liu
Wei Bi
Rui Yan
Ming Zhang
44
35
0
31 Oct 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
223
7,498
0
02 Oct 2019
Multi-Level Matching and Aggregation Network for Few-Shot Relation
  Classification
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
Zhiquan Ye
Zhenhua Ling
47
135
0
16 Jun 2019
Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment
  Classification
Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification
Zheng Li
Ying Wei
Yu Zhang
Xiang Zhang
Xin Li
Qiang Yang
43
99
0
16 Nov 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
290
4,049
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
167
1,239
0
10 Nov 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
813
11,894
0
09 Mar 2017
A Compare-Aggregate Model for Matching Text Sequences
A Compare-Aggregate Model for Matching Text Sequences
Shuohang Wang
Jing Jiang
58
276
0
06 Nov 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
361
7,319
0
13 Jun 2016
MovieQA: Understanding Stories in Movies through Question-Answering
MovieQA: Understanding Stories in Movies through Question-Answering
Makarand Tapaswi
Yukun Zhu
Rainer Stiefelhagen
Antonio Torralba
R. Urtasun
Sanja Fidler
109
746
0
09 Dec 2015
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
304
4,282
0
21 Aug 2015
Applying Deep Learning to Answer Selection: A Study and An Open Task
Applying Deep Learning to Answer Selection: A Study and An Open Task
Minwei Feng
Bing Xiang
Michael R. Glass
Lidan Wang
Bowen Zhou
59
381
0
07 Aug 2015
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
615
13,420
0
25 Aug 2014
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