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Semi-supervised Sequence Learning

Semi-supervised Sequence Learning

4 November 2015
Andrew M. Dai
Quoc V. Le
    SSL
ArXivPDFHTML

Papers citing "Semi-supervised Sequence Learning"

50 / 177 papers shown
Title
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
Evaluating Large Language Models Trained on Code
Evaluating Large Language Models Trained on Code
Mark Chen
Jerry Tworek
Heewoo Jun
Qiming Yuan
Henrique Pondé
...
Bob McGrew
Dario Amodei
Sam McCandlish
Ilya Sutskever
Wojciech Zaremba
ELM
ALM
78
5,082
0
07 Jul 2021
BARTScore: Evaluating Generated Text as Text Generation
BARTScore: Evaluating Generated Text as Text Generation
Weizhe Yuan
Graham Neubig
Pengfei Liu
44
808
0
22 Jun 2021
Semantic-aware Binary Code Representation with BERT
Semantic-aware Binary Code Representation with BERT
Hyungjoon Koo
Soyeon Park
Daejin Choi
Taesoo Kim
22
23
0
10 Jun 2021
SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic
  and Robotic Surgery
SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery
Yutong Ban
Guy Rosman
J. Eckhoff
Thomas M. Ward
Daniel A. Hashimoto
Taisei Kondo
Hidekazu Iwaki
O. Meireles
Daniela Rus
22
13
0
10 May 2021
Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence
  Autoencoder Networks
Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks
Hanyang Liu
Michael C. Montana
Dingwen Li
Chase Renfroe
Thomas Kannampallil
Chenyang Lu
41
2
0
30 Apr 2021
Improving BERT Model Using Contrastive Learning for Biomedical Relation
  Extraction
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction
P. Su
Yifan Peng
K. Vijay-Shanker
SSL
34
35
0
28 Apr 2021
Semantic maps and metrics for science Semantic maps and metrics for
  science using deep transformer encoders
Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders
Brendan Chambers
James A. Evans
MedIm
13
0
0
13 Apr 2021
Bertinho: Galician BERT Representations
Bertinho: Galician BERT Representations
David Vilares
Marcos Garcia
Carlos Gómez-Rodríguez
65
22
0
25 Mar 2021
BERT: A Review of Applications in Natural Language Processing and
  Understanding
BERT: A Review of Applications in Natural Language Processing and Understanding
M. V. Koroteev
VLM
25
196
0
22 Mar 2021
Pretrained Transformers as Universal Computation Engines
Pretrained Transformers as Universal Computation Engines
Kevin Lu
Aditya Grover
Pieter Abbeel
Igor Mordatch
28
217
0
09 Mar 2021
Self-supervised Mean Teacher for Semi-supervised Chest X-ray
  Classification
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification
Fengbei Liu
Yu Tian
F. Cordeiro
Vasileios Belagiannis
Ian Reid
G. Carneiro
23
41
0
05 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
180
27,772
0
26 Feb 2021
indicnlp@kgp at DravidianLangTech-EACL2021: Offensive Language
  Identification in Dravidian Languages
indicnlp@kgp at DravidianLangTech-EACL2021: Offensive Language Identification in Dravidian Languages
Kushal Kedia
Abhilash Nandy
24
23
0
14 Feb 2021
Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways
  Out
Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out
Peiran Yao
Denilson Barbosa
37
6
0
03 Feb 2021
ERICA: Improving Entity and Relation Understanding for Pre-trained
  Language Models via Contrastive Learning
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning
Yujia Qin
Yankai Lin
Ryuichi Takanobu
Zhiyuan Liu
Peng Li
Heng Ji
Minlie Huang
Maosong Sun
Jie Zhou
55
125
0
30 Dec 2020
Parameter-Efficient Transfer Learning with Diff Pruning
Parameter-Efficient Transfer Learning with Diff Pruning
Demi Guo
Alexander M. Rush
Yoon Kim
13
385
0
14 Dec 2020
Fine-tuning BERT for Low-Resource Natural Language Understanding via
  Active Learning
Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning
Daniel Grießhaber
J. Maucher
Ngoc Thang Vu
19
46
0
04 Dec 2020
Towards Domain-Agnostic Contrastive Learning
Towards Domain-Agnostic Contrastive Learning
Vikas Verma
Minh-Thang Luong
Kenji Kawaguchi
Hieu H. Pham
Quoc V. Le
SSL
15
115
0
09 Nov 2020
Pretrained Transformers for Text Ranking: BERT and Beyond
Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy J. Lin
Rodrigo Nogueira
Andrew Yates
VLM
242
611
0
13 Oct 2020
Regularizing Dialogue Generation by Imitating Implicit Scenarios
Regularizing Dialogue Generation by Imitating Implicit Scenarios
Shaoxiong Feng
Xuancheng Ren
Hongshen Chen
Bin Sun
Kan Li
Xu Sun
18
20
0
05 Oct 2020
Improving AMR Parsing with Sequence-to-Sequence Pre-training
Improving AMR Parsing with Sequence-to-Sequence Pre-training
Dong Xu
Junhui Li
Muhua Zhu
Min Zhang
Guodong Zhou
AIMat
18
68
0
05 Oct 2020
Tell Me How to Ask Again: Question Data Augmentation with Controllable
  Rewriting in Continuous Space
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space
Dayiheng Liu
Yeyun Gong
Jie Fu
Yu Yan
Jiusheng Chen
Jiancheng Lv
Nan Duan
M. Zhou
15
37
0
04 Oct 2020
Semi-supervised sequence classification through change point detection
Semi-supervised sequence classification through change point detection
Nauman Ahad
Mark A. Davenport
SSL
AI4TS
24
7
0
24 Sep 2020
Probabilistic Predictions of People Perusing: Evaluating Metrics of
  Language Model Performance for Psycholinguistic Modeling
Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling
Sophie Hao
S. Mendelsohn
Rachel Sterneck
Randi Martinez
Robert Frank
19
46
0
08 Sep 2020
Learning to summarize from human feedback
Learning to summarize from human feedback
Nisan Stiennon
Long Ouyang
Jeff Wu
Daniel M. Ziegler
Ryan J. Lowe
Chelsea Voss
Alec Radford
Dario Amodei
Paul Christiano
ALM
40
1,984
0
02 Sep 2020
ConvBERT: Improving BERT with Span-based Dynamic Convolution
ConvBERT: Improving BERT with Span-based Dynamic Convolution
Zihang Jiang
Weihao Yu
Daquan Zhou
Yunpeng Chen
Jiashi Feng
Shuicheng Yan
43
157
0
06 Aug 2020
Not All Unlabeled Data are Equal: Learning to Weight Data in
  Semi-supervised Learning
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning
Zhongzheng Ren
Raymond A. Yeh
A. Schwing
36
95
0
02 Jul 2020
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference
Hao Zhang
Bo Chen
Yulai Cong
D. Guo
Hongwei Liu
Mingyuan Zhou
BDL
24
27
0
15 Jun 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OOD
HAI
19
102
0
12 Jun 2020
Rethinking Pre-training and Self-training
Rethinking Pre-training and Self-training
Barret Zoph
Golnaz Ghiasi
Nayeon Lee
Huayu Chen
Hanxiao Liu
E. D. Cubuk
Quoc V. Le
SSeg
48
645
0
11 Jun 2020
Recurrent Neural Networks for Handover Management in Next-Generation
  Self-Organized Networks
Recurrent Neural Networks for Handover Management in Next-Generation Self-Organized Networks
Zoraze Ali
M. Miozzo
L. Giupponi
Paolo Dini
S. Denic
S. Vassaki
7
17
0
11 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
71
40,200
0
28 May 2020
schuBERT: Optimizing Elements of BERT
schuBERT: Optimizing Elements of BERT
A. Khetan
Zohar Karnin
28
30
0
09 May 2020
Beneath the Tip of the Iceberg: Current Challenges and New Directions in
  Sentiment Analysis Research
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
Soujanya Poria
Devamanyu Hazarika
Navonil Majumder
Rada Mihalcea
42
207
0
01 May 2020
Weight Poisoning Attacks on Pre-trained Models
Weight Poisoning Attacks on Pre-trained Models
Keita Kurita
Paul Michel
Graham Neubig
AAML
SILM
33
434
0
14 Apr 2020
Longformer: The Long-Document Transformer
Longformer: The Long-Document Transformer
Iz Beltagy
Matthew E. Peters
Arman Cohan
RALM
VLM
28
3,929
0
10 Apr 2020
TAPAS: Weakly Supervised Table Parsing via Pre-training
TAPAS: Weakly Supervised Table Parsing via Pre-training
Jonathan Herzig
Pawel Krzysztof Nowak
Thomas Müller
Francesco Piccinno
Julian Martin Eisenschlos
LMTD
RALM
45
633
0
05 Apr 2020
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
Chunyuan Li
Xiang Gao
Yuan Li
Baolin Peng
Xiujun Li
Yizhe Zhang
Jianfeng Gao
SSL
DRL
32
181
0
05 Apr 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,452
0
18 Mar 2020
A Survey on Contextual Embeddings
A Survey on Contextual Embeddings
Qi Liu
Matt J. Kusner
Phil Blunsom
225
146
0
16 Mar 2020
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis
Mingxuan Yue
Yaguang Li
Haoze Yang
Ritesh Ahuja
Yao-Yi Chiang
Cyrus Shahabi
13
32
0
03 Mar 2020
A Financial Service Chatbot based on Deep Bidirectional Transformers
A Financial Service Chatbot based on Deep Bidirectional Transformers
S. Yu
Yuxin Chen
Hussain Zaidi
25
33
0
17 Feb 2020
REALM: Retrieval-Augmented Language Model Pre-Training
REALM: Retrieval-Augmented Language Model Pre-Training
Kelvin Guu
Kenton Lee
Zora Tung
Panupong Pasupat
Ming-Wei Chang
RALM
39
1,992
0
10 Feb 2020
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive
  Summarization
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Jingqing Zhang
Yao-Min Zhao
Mohammad Saleh
Peter J. Liu
RALM
3DGS
45
2,018
0
18 Dec 2019
FlauBERT: Unsupervised Language Model Pre-training for French
FlauBERT: Unsupervised Language Model Pre-training for French
Hang Le
Loïc Vial
Jibril Frej
Vincent Segonne
Maximin Coavoux
Benjamin Lecouteux
A. Allauzen
Benoît Crabbé
Laurent Besacier
D. Schwab
AI4CE
49
395
0
11 Dec 2019
CamemBERT: a Tasty French Language Model
CamemBERT: a Tasty French Language Model
Louis Martin
Benjamin Muller
Pedro Ortiz Suarez
Yoann Dupont
Laurent Romary
Eric Villemonte de la Clergerie
Djamé Seddah
Benoît Sagot
16
956
0
10 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
118
19,493
0
23 Oct 2019
A Mutual Information Maximization Perspective of Language Representation
  Learning
A Mutual Information Maximization Perspective of Language Representation Learning
Lingpeng Kong
Cyprien de Masson dÁutume
Wang Ling
Lei Yu
Zihang Dai
Dani Yogatama
SSL
226
165
0
18 Oct 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language
  Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
SSL
AIMat
97
6,375
0
26 Sep 2019
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