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Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing
  Models

Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models

The Web Conference (WWW), 2022
5 March 2022
Weiqi Sun
Haidar Khan
Nicolas Guenon des Mesnards
M. Rubino
Konstantine Arkoudas
ArXiv (abs)PDFHTML

Papers citing "Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models"

24 / 24 papers shown
Title
Multi-Task Domain Adaptation for Language Grounding with 3D Objects
Multi-Task Domain Adaptation for Language Grounding with 3D Objects
Yixiang Chen
Yaoxian Song
Xinglin Pan
Peijie Dong
Xiaofei Yang
Qiang-qiang Wang
Zhixu Li
Tiefeng Li
Xiaowen Chu
174
2
0
03 Jul 2024
The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing
The Role of Output Vocabulary in T2T LMs for SPARQL Semantic ParsingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Debayan Banerjee
Pranav Ajit Nair
Ricardo Usbeck
Chris Biemann
121
3
0
24 May 2023
Federated Few-Shot Learning for Mobile NLP
Federated Few-Shot Learning for Mobile NLPACM/IEEE International Conference on Mobile Computing and Networking (MobiCom), 2022
Dongqi Cai
Shangguang Wang
Yaozong Wu
F. Lin
Mengwei Xu
FedML
151
19
0
12 Dec 2022
Memorization of Named Entities in Fine-tuned BERT Models
Memorization of Named Entities in Fine-tuned BERT ModelsInternational Cross-Domain Conference on Machine Learning and Knowledge Extraction (CD-MAKE), 2022
Andor Diera
N. Lell
Aygul Garifullina
A. Scherp
107
2
0
07 Dec 2022
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based
  Masked Language-models
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-modelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Elad Ben-Zaken
Shauli Ravfogel
Yoav Goldberg
595
1,450
0
18 Jun 2021
On the Effectiveness of Adapter-based Tuning for Pretrained Language
  Model Adaptation
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Ruidan He
Linlin Liu
Hai Ye
Qingyu Tan
Bosheng Ding
Liying Cheng
Jia-Wei Low
Lidong Bing
Luo Si
135
220
0
06 Jun 2021
Constrained Language Models Yield Few-Shot Semantic Parsers
Constrained Language Models Yield Few-Shot Semantic ParsersConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Richard Shin
C. H. Lin
Sam Thomson
Charles C. Chen
Subhro Roy
Emmanouil Antonios Platanios
Adam Pauls
Dan Klein
J. Eisner
Benjamin Van Durme
523
214
0
18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt TuningConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
1.1K
4,706
0
18 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Xiang Lisa Li
Abigail Z. Jacobs
529
4,956
0
01 Jan 2021
Generating Synthetic Data for Task-Oriented Semantic Parsing with
  Hierarchical Representations
Generating Synthetic Data for Task-Oriented Semantic Parsing with Hierarchical Representations
Ke M. Tran
Ming Tan
86
7
0
03 Nov 2020
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic
  Parsing
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing
Xilun Chen
Asish Ghoshal
Yashar Mehdad
Luke Zettlemoyer
S. Gupta
137
92
0
07 Oct 2020
Conversational Semantic Parsing
Conversational Semantic Parsing
Armen Aghajanyan
Jean Maillard
Akshat Shrivastava
K. Diedrick
Mike Haeger
...
Yashar Mehdad
Ves Stoyanov
Anuj Kumar
M. Lewis
S. Gupta
95
50
0
28 Sep 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot LearnersNeural Information Processing Systems (NeurIPS), 2020
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
1.7K
49,562
0
28 May 2020
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
AdapterFusion: Non-Destructive Task Composition for Transfer LearningConference of the European Chapter of the Association for Computational Linguistics (EACL), 2020
Jonas Pfeiffer
Aishwarya Kamath
Andreas Rucklé
Dong Wang
Iryna Gurevych
CLLMoMe
617
979
0
01 May 2020
Don't Parse, Generate! A Sequence to Sequence Architecture for
  Task-Oriented Semantic Parsing
Don't Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic ParsingThe Web Conference (WWW), 2020
Subendhu Rongali
Luca Soldaini
Emilio Monti
Wael Hamza
148
96
0
30 Jan 2020
How Can We Know What Language Models Know?
How Can We Know What Language Models Know?Transactions of the Association for Computational Linguistics (TACL), 2019
Zhengbao Jiang
Frank F. Xu
Jun Araki
Graham Neubig
KELM
488
1,518
0
28 Nov 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
M. Lewis
Yinhan Liu
Naman Goyal
Marjan Ghazvininejad
Abdel-rahman Mohamed
Omer Levy
Veselin Stoyanov
Luke Zettlemoyer
AIMatVLM
682
11,691
0
29 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
1.4K
26,956
0
26 Jul 2019
Parameter-Efficient Transfer Learning for NLP
Parameter-Efficient Transfer Learning for NLPInternational Conference on Machine Learning (ICML), 2019
N. Houlsby
A. Giurgiu
Stanislaw Jastrzebski
Bruna Morrone
Quentin de Laroussilhe
Andrea Gesmundo
Mona Attariyan
Sylvain Gelly
521
5,313
0
02 Feb 2019
Semantic Parsing for Task Oriented Dialog using Hierarchical
  Representations
Semantic Parsing for Task Oriented Dialog using Hierarchical Representations
S. Gupta
Rushin Shah
Mrinal Mohit
Anuj Kumar
M. Lewis
119
210
0
18 Oct 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
1.5K
7,778
0
20 Apr 2018
Attention Is All You Need
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
2.0K
152,933
0
12 Jun 2017
Learning multiple visual domains with residual adapters
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
460
1,006
0
22 May 2017
Learning to Map Sentences to Logical Form: Structured Classification
  with Probabilistic Categorial Grammars
Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial GrammarsConference on Uncertainty in Artificial Intelligence (UAI), 2005
Luke S. Zettlemoyer
M. Collins
207
981
0
04 Jul 2012
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