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SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language
  Models through Principled Regularized Optimization

SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization

8 November 2019
Haoming Jiang
Pengcheng He
Weizhu Chen
Xiaodong Liu
Jianfeng Gao
T. Zhao
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Papers citing "SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization"

50 / 103 papers shown
Title
Amortized Proximal Optimization
Amortized Proximal Optimization
Juhan Bae
Paul Vicol
Jeff Z. HaoChen
Roger C. Grosse
ODL
25
14
0
28 Feb 2022
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing?
  A Structured Review
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review
Kyle Hamilton
Aparna Nayak
Bojan Bozic
Luca Longo
NAI
29
57
0
24 Feb 2022
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language
  Models Better
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better
Chuhan Wu
Fangzhao Wu
Tao Qi
Yongfeng Huang
Xing Xie
25
58
0
24 Feb 2022
GatorTron: A Large Clinical Language Model to Unlock Patient Information
  from Unstructured Electronic Health Records
GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records
Xi Yang
Aokun Chen
Nima M. Pournejatian
Hoo-Chang Shin
Kaleb E. Smith
...
Duane A. Mitchell
W. Hogan
E. Shenkman
Jiang Bian
Yonghui Wu
AI4MH
LM&MA
37
507
0
02 Feb 2022
Identifying Adversarial Attacks on Text Classifiers
Identifying Adversarial Attacks on Text Classifiers
Zhouhang Xie
Jonathan Brophy
Adam Noack
Wencong You
Kalyani Asthana
Carter Perkins
Sabrina Reis
Sameer Singh
Daniel Lowd
AAML
27
9
0
21 Jan 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
34
101
0
15 Jan 2022
Sharpness-Aware Minimization with Dynamic Reweighting
Sharpness-Aware Minimization with Dynamic Reweighting
Wenxuan Zhou
Fangyu Liu
Huan Zhang
Muhao Chen
AAML
19
8
0
16 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
139
130
0
15 Dec 2021
Survey of Generative Methods for Social Media Analysis
Survey of Generative Methods for Social Media Analysis
Stan Matwin
Aristides Milios
P. Prałat
Amílcar Soares
Franccois Théberge
27
3
0
13 Dec 2021
Human Parity on CommonsenseQA: Augmenting Self-Attention with External
  Attention
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention
Yichong Xu
Chenguang Zhu
Shuohang Wang
Siqi Sun
Hao Cheng
Xiaodong Liu
Jianfeng Gao
Pengcheng He
Michael Zeng
Xuedong Huang
LRM
254
55
0
06 Dec 2021
MNet-Sim: A Multi-layered Semantic Similarity Network to Evaluate
  Sentence Similarity
MNet-Sim: A Multi-layered Semantic Similarity Network to Evaluate Sentence Similarity
Manuela Nayantara Jeyaraj
D. Kasthurirathna
11
3
0
09 Nov 2021
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of
  Language Models
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models
Wei Ping
Chejian Xu
Shuohang Wang
Zhe Gan
Yu Cheng
Jianfeng Gao
Ahmed Hassan Awadallah
Yangqiu Song
VLM
ELM
AAML
27
214
0
04 Nov 2021
Smooth Imitation Learning via Smooth Costs and Smooth Policies
Smooth Imitation Learning via Smooth Costs and Smooth Policies
Sapana Chaudhary
Balaraman Ravindran
21
1
0
03 Nov 2021
Generating artificial texts as substitution or complement of training
  data
Generating artificial texts as substitution or complement of training data
Vincent Claveau
Antoine Chaffin
Ewa Kijak
28
9
0
25 Oct 2021
CLLD: Contrastive Learning with Label Distance for Text Classification
CLLD: Contrastive Learning with Label Distance for Text Classification
Jinhe Lan
Qingyuan Zhan
Chenhao Jiang
Kunping Yuan
Desheng Wang
VLM
34
2
0
25 Oct 2021
Sharpness-Aware Minimization Improves Language Model Generalization
Sharpness-Aware Minimization Improves Language Model Generalization
Dara Bahri
H. Mobahi
Yi Tay
133
98
0
16 Oct 2021
SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue
  Systems
SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems
Harrison Lee
Raghav Gupta
Abhinav Rastogi
Yuan Cao
Bin Zhang
Yonghui Wu
74
33
0
13 Oct 2021
Taming Sparsely Activated Transformer with Stochastic Experts
Taming Sparsely Activated Transformer with Stochastic Experts
Simiao Zuo
Xiaodong Liu
Jian Jiao
Young Jin Kim
Hany Hassan
Ruofei Zhang
T. Zhao
Jianfeng Gao
MoE
39
108
0
08 Oct 2021
Using Psuedolabels for training Sentiment Classifiers makes the model
  generalize better across datasets
Using Psuedolabels for training Sentiment Classifiers makes the model generalize better across datasets
N. Reddy
Muktabh Mayank Srivastava
24
0
0
05 Oct 2021
Virtual Data Augmentation: A Robust and General Framework for
  Fine-tuning Pre-trained Models
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
Kun Zhou
Wayne Xin Zhao
Sirui Wang
Fuzheng Zhang
Wei Yu Wu
Ji-Rong Wen
AAML
21
7
0
13 Sep 2021
TREATED:Towards Universal Defense against Textual Adversarial Attacks
TREATED:Towards Universal Defense against Textual Adversarial Attacks
Bin Zhu
Zhaoquan Gu
Le Wang
Zhihong Tian
AAML
36
8
0
13 Sep 2021
Robust fine-tuning of zero-shot models
Robust fine-tuning of zero-shot models
Mitchell Wortsman
Gabriel Ilharco
Jong Wook Kim
Mike Li
Simon Kornblith
...
Raphael Gontijo-Lopes
Hannaneh Hajishirzi
Ali Farhadi
Hongseok Namkoong
Ludwig Schmidt
VLM
64
689
0
04 Sep 2021
How Does Adversarial Fine-Tuning Benefit BERT?
How Does Adversarial Fine-Tuning Benefit BERT?
J. Ebrahimi
Hao Yang
Wei Zhang
AAML
26
4
0
31 Aug 2021
Noise Stability Regularization for Improving BERT Fine-tuning
Noise Stability Regularization for Improving BERT Fine-tuning
Hang Hua
Xingjian Li
Dejing Dou
Chengzhong Xu
Jiebo Luo
19
43
0
10 Jul 2021
A Survey on Data Augmentation for Text Classification
A Survey on Data Augmentation for Text Classification
Markus Bayer
M. Kaufhold
Christian A. Reuter
36
334
0
07 Jul 2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural
  Language Understanding
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
Dong Wang
Ning Ding
Pijian Li
Haitao Zheng
AAML
37
115
0
01 Jul 2021
Learn to Resolve Conversational Dependency: A Consistency Training
  Framework for Conversational Question Answering
Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering
Gangwoo Kim
Hyunjae Kim
Jungsoo Park
Jaewoo Kang
30
38
0
22 Jun 2021
Consistency Regularization for Cross-Lingual Fine-Tuning
Consistency Regularization for Cross-Lingual Fine-Tuning
Bo Zheng
Li Dong
Shaohan Huang
Wenhui Wang
Zewen Chi
Saksham Singhal
Wanxiang Che
Ting Liu
Xia Song
Furu Wei
19
58
0
15 Jun 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in
  NLP
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
Jiaao Chen
Derek Tam
Colin Raffel
Joey Tianyi Zhou
Diyi Yang
28
172
0
14 Jun 2021
Defending Against Backdoor Attacks in Natural Language Generation
Defending Against Backdoor Attacks in Natural Language Generation
Xiaofei Sun
Xiaoya Li
Yuxian Meng
Xiang Ao
Fei Wu
Jiwei Li
Tianwei Zhang
AAML
SILM
31
47
0
03 Jun 2021
Self-Guided Contrastive Learning for BERT Sentence Representations
Self-Guided Contrastive Learning for BERT Sentence Representations
Taeuk Kim
Kang Min Yoo
Sang-goo Lee
SSL
39
202
0
03 Jun 2021
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP:
  The Role of Sample Size and Dimensionality
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality
Adithya V Ganesan
Matthew Matero
Aravind Reddy Ravula
Huy-Hien Vu
H. A. Schwartz
22
35
0
07 May 2021
Playing Lottery Tickets with Vision and Language
Playing Lottery Tickets with Vision and Language
Zhe Gan
Yen-Chun Chen
Linjie Li
Tianlong Chen
Yu Cheng
Shuohang Wang
Jingjing Liu
Lijuan Wang
Zicheng Liu
VLM
106
54
0
23 Apr 2021
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
Mingyang Yi
Lu Hou
Lifeng Shang
Xin Jiang
Qun Liu
Zhi-Ming Ma
12
19
0
16 Mar 2021
A Closer Look at the Robustness of Vision-and-Language Pre-trained
  Models
A Closer Look at the Robustness of Vision-and-Language Pre-trained Models
Linjie Li
Zhe Gan
Jingjing Liu
VLM
33
42
0
15 Dec 2020
Contrastive Learning with Adversarial Perturbations for Conditional Text
  Generation
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
Seanie Lee
Dong Bok Lee
Sung Ju Hwang
24
106
0
14 Dec 2020
Infusing Finetuning with Semantic Dependencies
Infusing Finetuning with Semantic Dependencies
Zhaofeng Wu
Hao Peng
Noah A. Smith
22
36
0
10 Dec 2020
Supervised Contrastive Learning for Pre-trained Language Model
  Fine-tuning
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel
Jingfei Du
Alexis Conneau
Ves Stoyanov
18
497
0
03 Nov 2020
Posterior Differential Regularization with f-divergence for Improving
  Model Robustness
Posterior Differential Regularization with f-divergence for Improving Model Robustness
Hao Cheng
Xiaodong Liu
L. Pereira
Yaoliang Yu
Jianfeng Gao
248
31
0
23 Oct 2020
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution
  Data
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
Lingkai Kong
Haoming Jiang
Yuchen Zhuang
Jie Lyu
T. Zhao
Chao Zhang
OODD
24
26
0
22 Oct 2020
Robust Optimization as Data Augmentation for Large-scale Graphs
Robust Optimization as Data Augmentation for Large-scale Graphs
Kezhi Kong
Bernard Ghanem
Mucong Ding
Zuxuan Wu
Chen Zhu
Guohao Li
Gavin Taylor
Tom Goldstein
106
74
0
19 Oct 2020
InfoBERT: Improving Robustness of Language Models from An Information
  Theoretic Perspective
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
Wei Ping
Shuohang Wang
Yu Cheng
Zhe Gan
R. Jia
Bo-wen Li
Jingjing Liu
AAML
46
113
0
05 Oct 2020
A Simple but Tough-to-Beat Data Augmentation Approach for Natural
  Language Understanding and Generation
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation
Dinghan Shen
Ming Zheng
Yelong Shen
Yanru Qu
Weizhu Chen
AAML
29
130
0
29 Sep 2020
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning
  in NLP Using Fewer Parameters & Less Data
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
Jonathan Pilault
Amine Elhattami
C. Pal
CLL
MoE
24
89
0
19 Sep 2020
FarsTail: A Persian Natural Language Inference Dataset
FarsTail: A Persian Natural Language Inference Dataset
Hossein Amirkhani
Mohammad AzariJafari
Zohreh Pourjafari
Soroush Faridan-Jahromi
Zeinab Kouhkan
Azadeh Amirak
19
30
0
18 Sep 2020
STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths
STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths
Yue Yu
Yinghao Li
Jiaming Shen
Haoyang Feng
Jimeng Sun
Chao Zhang
26
58
0
18 Jun 2020
Large-Scale Adversarial Training for Vision-and-Language Representation
  Learning
Large-Scale Adversarial Training for Vision-and-Language Representation Learning
Zhe Gan
Yen-Chun Chen
Linjie Li
Chen Zhu
Yu Cheng
Jingjing Liu
ObjD
VLM
35
488
0
11 Jun 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
Pengcheng He
Xiaodong Liu
Jianfeng Gao
Weizhu Chen
AAML
62
2,622
0
05 Jun 2020
Adversarial Training for Large Neural Language Models
Adversarial Training for Large Neural Language Models
Xiaodong Liu
Hao Cheng
Pengcheng He
Weizhu Chen
Yu-Chiang Frank Wang
Hoifung Poon
Jianfeng Gao
AAML
26
183
0
20 Apr 2020
XGPT: Cross-modal Generative Pre-Training for Image Captioning
XGPT: Cross-modal Generative Pre-Training for Image Captioning
Qiaolin Xia
Haoyang Huang
Nan Duan
Dongdong Zhang
Lei Ji
Zhifang Sui
Edward Cui
Taroon Bharti
Xin Liu
Ming Zhou
MLLM
VLM
25
74
0
03 Mar 2020
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