Semi-supervised Sequence Learning

4 November 2015

Papers citing "Semi-supervised Sequence Learning"

50 / 197 papers shown

Title
Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning Linyang Li Demin Song Xiaonan Li Jiehang Zeng Ruotian Ma Xipeng Qiu 30 135 0 31 Aug 2021
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision Zhijian Liu Simon Stent Jie Li John Gideon Song Han VLM 25 10 0 26 Aug 2021
Knowledge Distillation from BERT Transformer to Speech Transformer for Intent Classification Yiding Jiang Bidisha Sharma Maulik C. Madhavi Haizhou Li 36 25 0 05 Aug 2021
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 Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 83 5,135 0 07 Jul 2021
BARTScore: Evaluating Generated Text as Text Generation Weizhe Yuan Graham Neubig Pengfei Liu 50 809 0 22 Jun 2021
Semantic-aware Binary Code Representation with BERT Hyungjoon Koo Soyeon Park Daejin Choi Taesoo Kim 25 23 0 10 Jun 2021
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 Hanyang Liu Michael C. Montana Dingwen Li Chase Renfroe Thomas Kannampallil Chenyang Lu 41 3 0 30 Apr 2021
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 Brendan Chambers James A. Evans MedIm 13 0 0 13 Apr 2021
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 M. V. Koroteev VLM 25 196 0 22 Mar 2021
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 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 Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 183 27,846 0 26 Feb 2021
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 Peiran Yao Denilson Barbosa 37 6 0 03 Feb 2021
Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests Jiaao Chen Diyi Yang 11 20 0 16 Jan 2021
A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis Xiao Fu Guijun Zhang 13 1 0 11 Jan 2021
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 60 125 0 30 Dec 2020
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 Daniel Grießhaber J. Maucher Ngoc Thang Vu 19 46 0 04 Dec 2020
Towards Domain-Agnostic Contrastive Learning Vikas Verma Minh-Thang Luong Kenji Kawaguchi Hieu H. Pham Quoc V. Le SSL 15 116 0 09 Nov 2020
Pretrained Transformers for Text Ranking: BERT and Beyond Jimmy J. Lin Rodrigo Nogueira Andrew Yates VLM 244 612 0 13 Oct 2020
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 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 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 Nauman Ahad Mark A. Davenport SSL AI4TS 27 7 0 24 Sep 2020
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 Nisan Stiennon Long Ouyang Jeff Wu Daniel M. Ziegler Ryan J. Lowe Chelsea Voss Alec Radford Dario Amodei Paul Christiano ALM 54 1,994 0 02 Sep 2020
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 Zhongzheng Ren Raymond A. Yeh A. Schwing 38 95 0 02 Jul 2020
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 Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 19 103 0 12 Jun 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Nayeon Lee Huayu Chen Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 48 646 0 11 Jun 2020
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 Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 85 40,302 0 28 May 2020
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation Aditya Siddhant Ankur Bapna Yuan Cao Orhan Firat Mengzhao Chen Sneha Kudugunta N. Arivazhagan Yonghui Wu 38 86 0 11 May 2020
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 Soujanya Poria Devamanyu Hazarika Navonil Majumder Rada Mihalcea 47 207 0 01 May 2020
Weight Poisoning Attacks on Pre-trained Models Keita Kurita Paul Michel Graham Neubig AAML SILM 40 434 0 14 Apr 2020
Longformer: The Long-Document Transformer Iz Beltagy Matthew E. Peters Arman Cohan RALM VLM 28 3,934 0 10 Apr 2020
TAPAS: Weakly Supervised Table Parsing via Pre-training Jonathan Herzig Pawel Krzysztof Nowak Thomas Müller Francesco Piccinno Julian Martin Eisenschlos LMTD RALM 45 634 0 05 Apr 2020
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 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 Qi Liu Matt J. Kusner Phil Blunsom 225 146 0 16 Mar 2020
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis Mingxuan Yue Yaguang Li Haoze Yang Ritesh Ahuja Yao-Yi Chiang Cyrus Shahabi 15 32 0 03 Mar 2020
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 Kelvin Guu Kenton Lee Zora Tung Panupong Pasupat Ming-Wei Chang RALM 48 2,000 0 10 Feb 2020