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2020 – today
- 2023
[c28]Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik G. Learned-Miller, Chuang Gan:
Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners. CVPR 2023: 11828-11837- [c27]Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention. CVPR 2023: 14528-14539 - [c26]Zeyu Huang, Yikang Shen, Xiaofeng Zhang, Jie Zhou, Wenge Rong, Zhang Xiong:
Transformer-Patcher: One Mistake Worth One Neuron. ICLR 2023 - [c25]Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan:
Hyper-Decision Transformer for Efficient Online Policy Adaptation. ICLR 2023 - [c24]Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B. Tenenbaum, Chuang Gan:
Planning with Large Language Models for Code Generation. ICLR 2023 - [i28]Zhenfang Chen, Qinhong Zhou, Yikang Shen, Yining Hong, Hao Zhang, Chuang Gan:
See, Think, Confirm: Interactive Prompting Between Vision and Language Models for Knowledge-based Visual Reasoning. CoRR abs/2301.05226 (2023) - [i27]Zeyu Huang, Yikang Shen, Xiaofeng Zhang, Jie Zhou, Wenge Rong, Zhang Xiong:
Transformer-Patcher: One Mistake worth One Neuron. CoRR abs/2301.09785 (2023) - [i26]Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B. Tenenbaum, Chuang Gan:
Planning with Large Language Models for Code Generation. CoRR abs/2303.05510 (2023) - [i25]Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention. CoRR abs/2304.03282 (2023) - [i24]Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan:
Hyper-Decision Transformer for Efficient Online Policy Adaptation. CoRR abs/2304.08487 (2023) - [i23]Zhiqing Sun, Yikang Shen, Qinhong Zhou, Hongxin Zhang, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan:
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision. CoRR abs/2305.03047 (2023) - [i22]Yikang Shen, Zheyu Zhang, Tianyou Cao, Shawn Tan, Zhenfang Chen, Chuang Gan:
ModuleFormer: Learning Modular Large Language Models From Uncurated Data. CoRR abs/2306.04640 (2023) - [i21]Zitian Chen, Mingyu Ding, Yikang Shen, Wei Zhan, Masayoshi Tomizuka, Erik G. Learned-Miller, Chuang Gan:
An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training. CoRR abs/2306.17165 (2023) - [i20]Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liang-Yan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell:
Aligning Large Multimodal Models with Factually Augmented RLHF. CoRR abs/2309.14525 (2023) - 2022
- [c23]Yikang Shen, Shawn Tan, Alessandro Sordoni, Peng Li, Jie Zhou, Aaron C. Courville:
Unsupervised Dependency Graph Network. ACL (1) 2022: 4767-4784 - [c22]Xiaotao Gu, Yikang Shen, Jiaming Shen, Jingbo Shang, Jiawei Han:
Phrase-aware Unsupervised Constituency Parsing. ACL (1) 2022: 6406-6415 - [c21]Xiaofeng Zhang, Yikang Shen, Zeyu Huang, Jie Zhou, Wenge Rong, Zhang Xiong:
Mixture of Attention Heads: Selecting Attention Heads Per Token. EMNLP 2022: 4150-4162 - [c20]Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan:
Prompting Decision Transformer for Few-Shot Policy Generalization. ICML 2022: 24631-24645 - [i19]Yikang Shen:
Syntactic Inductive Biases for Deep Learning Methods. CoRR abs/2206.04806 (2022) - [i18]Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan:
Prompting Decision Transformer for Few-Shot Policy Generalization. CoRR abs/2206.13499 (2022) - [i17]Xiaofeng Zhang, Yikang Shen, Zeyu Huang, Jie Zhou, Wenge Rong, Zhang Xiong:
Mixture of Attention Heads: Selecting Attention Heads Per Token. CoRR abs/2210.05144 (2022) - [i16]Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik G. Learned-Miller, Chuang Gan:
Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners. CoRR abs/2212.08066 (2022) - 2021
- [c19]Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler, Aaron C. Courville:
StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling. ACL/IJCNLP (1) 2021: 7196-7209 - [c18]Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron C. Courville, Joshua B. Tenenbaum, Chuang Gan:
Learning Task Decomposition with Ordered Memory Policy Network. ICLR 2021 - [c17]Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler:
Long Range Arena : A Benchmark for Efficient Transformers. ICLR 2021 - [c16]Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron C. Courville:
Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle. NAACL-HLT 2021: 1660-1672 - [c15]Aston Zhang, Yi Tay, Yikang Shen, Alvin Chan, Shuai Zhang:
Self-Instantiated Recurrent Units with Dynamic Soft Recursion. NeurIPS 2021: 6503-6514 - [i15]Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron C. Courville, Joshua B. Tenenbaum, Chuang Gan:
Learning Task Decomposition with Ordered Memory Policy Network. CoRR abs/2103.10972 (2021) - 2020
- [c14]Wenyu Du, Zhouhan Lin, Yikang Shen, Timothy J. O'Donnell, Yoshua Bengio, Yue Zhang:
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach. ACL 2020: 6611-6628 - [c13]Shawn Tan, Yikang Shen, Alessandro Sordoni, Aaron C. Courville, Timothy J. O'Donnell:
Recursive Top-Down Production for Sentence Generation with Latent Trees. EMNLP (Findings) 2020: 2291-2307 - [i14]Wenyu Du, Zhouhan Lin, Yikang Shen, Timothy J. O'Donnell, Yoshua Bengio, Yue Zhang:
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach. CoRR abs/2005.05864 (2020) - [i13]Shawn Tan, Yikang Shen, Timothy J. O'Donnell, Alessandro Sordoni, Aaron C. Courville:
Recursive Top-Down Production for Sentence Generation with Latent Trees. CoRR abs/2010.04704 (2020) - [i12]Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler:
Long Range Arena: A Benchmark for Efficient Transformers. CoRR abs/2011.04006 (2020) - [i11]Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron C. Courville:
Explicitly Modeling Syntax in Language Model improves Generalization. CoRR abs/2011.07960 (2020) - [i10]Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler, Aaron C. Courville:
StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling. CoRR abs/2012.00857 (2020)
2010 – 2019
- 2019
- [c12]Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron C. Courville:
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks. ICLR 2019 - [c11]Yikang Shen, Shawn Tan, Seyed Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville:
Ordered Memory. NeurIPS 2019: 5038-5049 - [i9]Shawn Tan, Yikang Shen, Chin-Wei Huang, Aaron C. Courville:
Investigating Biases in Textual Entailment Datasets. CoRR abs/1906.09635 (2019) - [i8]Yikang Shen, Shawn Tan, Seyedarian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville:
Ordered Memory. CoRR abs/1910.13466 (2019) - 2018
- [j1]Nan Jiang
, Wenge Rong, Yifan Nie, Yikang Shen, Zhang Xiong:
Biological Event Trigger Identification with Noise Contrastive Estimation. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1549-1559 (2018) - [c10]Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron C. Courville, Yoshua Bengio:
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance. ACL (1) 2018: 1171-1180 - [c9]Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung:
BanditSum: Extractive Summarization as a Contextual Bandit. EMNLP 2018: 3739-3748 - [c8]Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron C. Courville:
Neural Language Modeling by Jointly Learning Syntax and Lexicon. ICLR (Poster) 2018 - [i7]Yikang Shen, Shawn Tan, Chin-Wei Huang, Aaron C. Courville:
Generating Contradictory, Neutral, and Entailing Sentences. CoRR abs/1803.02710 (2018) - [i6]Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron C. Courville, Yoshua Bengio:
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance. CoRR abs/1806.04168 (2018) - [i5]Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung:
BanditSum: Extractive Summarization as a Contextual Bandit. CoRR abs/1809.09672 (2018) - [i4]Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron C. Courville:
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks. CoRR abs/1810.09536 (2018) - 2017
- [c7]Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong:
Word Embedding Based Correlation Model for Question/Answer Matching. AAAI 2017: 3511-3517 - [c6]Nan Jiang, Wenge Rong, Min Gao, Yikang Shen, Zhang Xiong:
Exploration of Tree-based Hierarchical Softmax for Recurrent Language Models. IJCAI 2017: 1951-1957 - [i3]Yikang Shen, Shawn Tan, Christopher Joseph Pal, Aaron C. Courville:
Self-organized Hierarchical Softmax. CoRR abs/1707.08588 (2017) - [i2]Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron C. Courville:
Neural Language Modeling by Jointly Learning Syntax and Lexicon. CoRR abs/1711.02013 (2017) - 2016
- [c5]Siqi Xiang, Wenge Rong, Yikang Shen, Yuanxin Ouyang, Zhang Xiong:
Multidimensional scaling based knowledge provision for new questions in community Question Answering systems. IJCNN 2016: 115-122 - [c4]Yazhi Gao, Wenge Rong, Yikang Shen, Zhang Xiong:
Convolutional Neural Network based sentiment analysis using Adaboost combination. IJCNN 2016: 1333-1338 - 2015
- [c3]Yikang Shen, Wenge Rong, Zhiwei Sun, Yuanxin Ouyang, Zhang Xiong:
Question/Answer Matching for CQA System via Combining Lexical and Sequential Information. AAAI 2015: 275-281 - [i1]Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong:
Word Embedding based Correlation Model for Question/Answer Matching. CoRR abs/1511.04646 (2015) - 2014
- [c2]Yifan Nie, Wenge Rong, Yikang Shen, Chao Li, Zhang Xiong:
Choosing the Best Auto-Encoder-Based Bagging Classifier: An Empirical Study. ICONIP (1) 2014: 413-420 - [c1]Zhiwei Sun, Wenge Rong, Yikang Shen, Yuanxin Ouyang, Chao Li, Zhang Xiong:
Influencing Factors Analysis of People's Answering Behaviours on Social Network Based Questions. UIC/ATC/ScalCom 2014: 196-203
Coauthor Index
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last updated on 2023-09-28 02:52 CEST by the dblp team
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