Junlong Liu

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Modeling Relational Data with Graph Convolutional Networks 2018 Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
2
+ Nonparametric estimation of conditional quantiles using quantile regression trees 2002 Probal Chaudhuri
Wei‐Yin Loh
1
+ Support vector censored quantile regression under random censoring 2008 Jooyong Shim
Changha Hwang
1
+ Ridge Regression: Biased Estimation for Nonorthogonal Problems 2000 Arthur E. Hoerl
Robert W. Kennard
1
+ PDF Chat On estimating conditional quantiles and distribution functions 2002 Franco Peracchi
1
+ Regression Shrinkage and Selection via The Lasso: A Retrospective 2011 Robert Tibshirani
1
+ PDF Chat Noncrossing quantile regression curve estimation 2010 Howard D. Bondell
Brian J. Reich
Huixia Wang
1
+ Quantile regression methods for reference growth charts 2005 Ying Wei
Anneli Pere
Roger Koenker
Xuming He
1
+ Overcoming catastrophic forgetting in neural networks 2017 James Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
Joel Veness
Guillaume Desjardins
Andrei A. Rusu
Kieran Milan
John Quan
Tiago Ramalho
Agnieszka Grabska‐BarwiƄska
1
+ PDF Chat ConceptNet 5.5: An Open Multilingual Graph of General Knowledge 2017 Robert E. Speer
Joshua Chin
Catherine Havasi
1
+ Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge 2018 Peter E. Clark
Isaac Cowhey
Oren Etzioni
Tushar Khot
Ashish Sabharwal
Carissa Schoenick
Oyvind Tafjord
1
+ PDF Chat Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering 2018 Todor Mihaylov
Peter E. Clark
Tushar Khot
Ashish Sabharwal
1
+ CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge 2018 Alon Talmor
Jonathan Herzig
Nicholas Lourie
Jonathan Berant
1
+ Decoupled Weight Decay Regularization 2017 Ilya Loshchilov
Frank Hutter
1
+ PDF Chat From Independent Prediction to Reordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification 2019 Zixiang Ding
Huihui He
Mengran Zhang
Rui Xia
1
+ Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts 2019 Rui Xia
Zixiang Ding
1
+ Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition 2002 Erik F. Tjong Kim Sang
1
+ Explain Yourself! Leveraging Language Models for Commonsense Reasoning 2019 Nazneen Fatema Rajani
Bryan McCann
Caiming Xiong
Richard Socher
1
+ PDF Chat A Question Answering Approach for Emotion Cause Extraction 2017 Lin Gui
Jiannan Hu
Yulan He
Ruifeng Xu
Qin Lu
Jiachen Du
1
+ A simple neural network module for relational reasoning 2017 Adam Santoro
David Raposo
David G. T. Barrett
Mateusz Malinowski
Razvan Pascanu
Peter Battaglia
Timothy Lillicrap
1
+ PDF Chat Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning 2018 Qimai Li
Zhichao Han
Xiao-Ming Wu
1
+ PDF Chat iCaRL: Incremental Classifier and Representation Learning 2017 Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
Georg Sperl
Christoph H. Lampert
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
+ RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction 2019 Rui Xia
Mengran Zhang
Zixiang Ding
1
+ Social IQa: Commonsense Reasoning about Social Interactions 2019 Maarten Sap
Hannah Rashkin
Derek Chen
Ronan Le Bras
Yejin Choi
1
+ Language Models as Knowledge Bases? 2019 Fabio Petroni
Tim RocktÀschel
Sebastian Riedel
Patrick Lewis
Anton Bakhtin
Yuxiang Wu
Alexander Miller
1
+ Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models 2019 Cheolhyoung Lee
Kyunghyun Cho
Wanmo Kang
1
+ HuggingFace's Transformers: State-of-the-art Natural Language Processing 2019 Thomas Wolf
Lysandre Debut
Victor Sanh
Julien Chaumond
Clément Delangue
Anthony Moi
Pierric Cistac
Tim Rault
RĂ©mi Louf
Morgan Funtowicz
1
+ KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning 2019 Bill Yuchen Lin
Xinyue Chen
Jamin Chen
Xiang Ren
1
+ DropEdge: Towards Deep Graph Convolutional Networks on Node Classification 2019 Yu Rong
Wenbing Huang
Tingyang Xu
Junzhou Huang
1
+ PDF Chat QASC: A Dataset for Question Answering via Sentence Composition 2020 Tushar Khot
Peter E. Clark
Michal Guerquin
Peter Jansen
Ashish Sabharwal
1
+ PDF Chat Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View 2020 Deli Chen
Yankai Lin
Wei Li
Peng Li
Jie Zhou
Xu Sun
1
+ PDF Chat PIQA: Reasoning about Physical Commonsense in Natural Language 2020 Yonatan Bisk
Rowan Zellers
Ronan Le Bras
Jianfeng Gao
Yejin Choi
1
+ PDF Chat Beyond Expectation: Deep Joint Mean and Quantile Regression for Spatiotemporal Problems 2020 Filipe Rodrigues
Francisco C. Pereira
1
+ On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines 2020 Marius Mosbach
Maksym Andriushchenko
Dietrich Klakow
1
+ An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction 2020 Jiayuan Ding
Mayank Kejriwal
1
+ Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering 2020 Yanlin Feng
Xinyue Chen
Bill Yuchen Lin
Peifeng Wang
Jun Yan
Xiang Ren
1
+ PDF Chat UNIFIEDQA: Crossing Format Boundaries with a Single QA System 2020 Daniel Khashabi
Sewon Min
Tushar Khot
Ashish Sabharwal
Oyvind Tafjord
Peter E. Clark
Hannaneh Hajishirzi
1
+ Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering 2020 Peifeng Wang
Nanyun Peng
Filip Ilievski
Pedro Szekely
Xiang Ren
1
+ XGBoost 2016 Tianqi Chen
Carlos Guestrin
1
+ Causal Intervention for Weakly-Supervised Semantic Segmentation 2020 Dong Zhang
Hanwang Zhang
Jinhui Tang
Xian–Sheng Hua
Qianru Sun
1
+ Generative Data Augmentation for Commonsense Reasoning 2020 Yiben Yang
Chaitanya Malaviya
Jared Fernandez
Swabha Swayamdipta
Ronan Le Bras
Jiping Wang
Chandra Bhagavatula
Yejin Choi
Doug Downey
1
+ Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect 2020 Kaihua Tang
Jianqiang Huang
Hanwang Zhang
1
+ PDF Chat Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting 2020 Sanyuan Chen
Yutai Hou
Yiming Cui
Wanxiang Che
Ting Liu
Xiangzhan Yu
1
+ Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders 2020 Jue Wang
Wei Lu
1
+ PDF Chat TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking 2020 Yucheng Wang
Bowen Yu
Yueyang Zhang
Tingwen Liu
Hongsong Zhu
Limin Sun
1
+ Revisiting Few-sample BERT Fine-tuning 2021 Tianyi Zhang
Felix Wu
Arzoo Katiyar
Kilian Q. Weinberger
Yoav Artzi
1
+ An End-to-End Network for Emotion-Cause Pair Extraction 2021 Aaditya Singh
Shreeshail Hingane
Saim Wani
Ashutosh Modi
1
+ Graph neural networks: A review of methods and applications 2020 Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
1
+ Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference 2021 Tuan Lai
Heng Ji
ChengXiang Zhai
Quan Hung Tran
1