Tien-Fu Chen

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks 2018 Guokun Lai
Wei-Cheng Chang
Yiming Yang
Hanxiao Liu
1
+ Unsupervised Representation Learning by Predicting Image Rotations 2018 Spyros Gidaris
Praveer Singh
Nikos Komodakis
1
+ An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling 2018 Shaojie Bai
J. Zico Kolter
Vladlen Koltun
1
+ BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2018 Jacob Devlin
Ming‐Wei Chang
Kenton Lee
Kristina Toutanova
1
+ Decoupled Weight Decay Regularization 2017 Ilya Loshchilov
Frank Hutter
1
+ RoBERTa: A Robustly Optimized BERT Pretraining Approach 2019 Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
Mike Lewis
Luke Zettlemoyer
Veselin Stoyanov
1
+ Representation Degeneration Problem in Training Natural Language Generation Models 2019 Jun Gao
Di He
Xu Tan
Tao Qin
Liwei Wang
Tie‐Yan Liu
1
+ Unsupervised Scalable Representation Learning for Multivariate Time Series 2019 Jean-Yves Franceschi
Aymeric Dieuleveut
Martin Jaggi
1
+ How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings 2019 Kawin Ethayarajh
1
+ Graph Contrastive Learning with Augmentations 2020 Yuning You
Tianlong Chen
Yongduo Sui
Ting Chen
Zhangyang Wang
Yang Shen
1
+ PDF Chat Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks 2017 Terry Taewoong Um
Franz Pfister
Daniel Pichler
Satoshi Endo
M. Lang
Sandra Hirche
Urban M. Fietzek
Dana Kulić
1
+ PDF Chat Clustering based Contrastive Learning for Improving Face Representations 2020 Vivek Sharma
Makarand Tapaswi
M. Saquib Sarfraz
Rainer Stiefelhagen
1
+ PDF Chat Self-Supervised Learning of Graph Neural Networks: A Unified Review 2022 Yaochen Xie
Xu Zhao
Jingtun Zhang
Zhengyang Wang
Shuiwang Ji
1
+ Gated Transformer Networks for Multivariate Time Series Classification 2021 Minghao Liu
Shengqi Ren
Siyuan Ma
Jiahui Jiao
Yizhou Chen
Zhiguang Wang
Wei Song
1
+ PDF Chat SimCSE: Simple Contrastive Learning of Sentence Embeddings 2021 Tianyu Gao
Xingcheng Yao
Danqi Chen
1
+ Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding 2021 Sana Tonekaboni
Danny Eytan
Anna Goldenberg
1
+ PDF Chat Exploring Simple Siamese Representation Learning 2021 Xinlei Chen
Kaiming He
1
+ PDF Chat Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting 2021 Haoyi Zhou
Shanghang Zhang
Jieqi Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wancai Zhang
1
+ Time-Series Representation Learning via Temporal and Contextual Contrasting 2021 Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min Wu
Chee Keong Kwoh
Xiaoli Li
Cuntai Guan
1
+ PDF Chat TS2Vec: Towards Universal Representation of Time Series 2022 Zhihan Yue
Yujing Wang
Juanyong Duan
Tianmeng Yang
Congrui Huang
Yunhai Tong
Bixiong Xu
1
+ Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy 2021 Jiehui Xu
Haixu Wu
Jianmin Wang
Mingsheng Long
1
+ PDF Chat SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation 2022 Jun Xia
Lirong Wu
Jintao Chen
Bozhen Hu
Stan Z. Li
1
+ PDF Chat DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings 2022 Yung-Sung Chuang
Rumen Dangovski
Hongyin Luo
Yang Zhang
Shiyu Chang
Marin Soljačić
Shang-Wen Li
Scott Yih
Yoon Kim
James Glass
1
+ How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning 2022 Chaoning Zhang
Kang Zhang
Chenshuang Zhang
Trung X. Pham
Chang D. Yoo
In So Kweon
1
+ CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting 2022 Gerald Woo
Chenghao Liu
Doyen Sahoo
Akshat Kumar
Steven C. H. Hoi
1
+ Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency 2022 Xiang Zhang
Ziyuan Zhao
Theodoros Tsiligkaridis
Marinka Žitnik
1
+ SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption 2021 Dara Bahri
Heinrich Jiang
Yi Tay
Donald Metzler
1
+ Large-Scale Representation Learning on Graphs via Bootstrapping 2021 Shantanu Thakoor
Corentin Tallec
Mohammad Gheshlaghi Azar
Mehdi Azabou
Eva L. Dyer
Rémi Munos
Petar Veličković
Michal Vaľko
1
+ Language Models are Few-Shot Learners 2020 T. B. Brown
Benjamin F. Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
Prafulla Dhariwal
Arvind Neelakantan
Pranav Shyam
Girish Sastry
Amanda Askell
1
+ A Time Series is Worth 64 Words: Long-term Forecasting with Transformers 2022 Yuqi Nie
Nam Hoai Nguyen
Phanwadee Sinthong
Jayant Kalagnanam
1
+ SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting 2023 Xiaochen Zheng
Xingyu Chen
Manuel Schürch
Amina Mollaysa
Ahmed Allam
Michael Krauthammer
1
+ Rethinking Data Augmentation for Tabular Data in Deep Learning 2023 Soma Onishi
Shoya Meguro
1
+ PDF Chat MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series 2023 Qianwen Meng
Hangwei Qian
Yong Liu
Lizhen Cui
Yonghui Xu
Zhiqi Shen
1
+ PDF Chat Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects 2024 Kexin Zhang
Qingsong Wen
Chaoli Zhang
Rongyao Cai
Ming Jin
Yong Liu
James Y. Zhang
Yuxuan Liang
Guansong Pang
Dongjin Song
1