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Conference and Workshop Papers

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2024
[c11]
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  - conf/3dim/SunTBLXIKBFZLWPH24
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Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber:
Partial-View Object View Synthesis via Filtering Inversion. 3DV 2024: 453-463
[c10]
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Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, Chris Callison-Burch, Mark Yatskar, Aniruddha Kembhavi, Christopher Clark:
Holodeck: Language Guided Generation of 3D Embodied AI Environments. CVPR 2024: 16277-16287
[c9]
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Hsuan Su, Hua Farn, Fan-Yun Sun, Shang-Tse Chen, Hung-yi Lee:
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition. EMNLP 2024: 8905-8915
2023
[c8]
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  - conf/edm/LiuSRNHS23
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Haoyu Liu, Fan-Yun Sun, Frieda Rong, Kumiko Nakajima, Nicholas Haber, Shima Salehi:
Characterizing Learning Progress of Problem-Solvers Using Puzzle-Solving Log Data. EDM 2023
2022
[c7]
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Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber:
Interaction Modeling with Multiplex Attention. NeurIPS 2022
2021
[c6]
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Hsuan Su, Jiun-Hao Jhan, Fan-Yun Sun, Saurav Sahay, Hung-yi Lee:
Put Chatbot into Its Interlocutor's Shoes: New Framework to Learn Chatbot Responding with Intention. NAACL-HLT 2021: 1559-1569
[c5]
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Daniel Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiao-Yu Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin A. Smith, Fan-Yun Sun, Fei-Fei Li, Nancy Kanwisher, Josh Tenenbaum, Dan Yamins, Judith E. Fan:
Physion: Evaluating Physical Prediction from Vision in Humans and Machines. NeurIPS Datasets and Benchmarks 2021
2020
[c4]
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  - conf/iclr/SunHV020
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Fan-Yun Sun, Jordan Hoffmann, Vikas Verma, Jian Tang:
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. ICLR 2020
2019
[c3]
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Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin:
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. AAMAS 2019: 2201-2203
[c2]
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Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang:
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning. NeurIPS 2019: 512-522
2018
[c1]
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  - conf/aies/SunCWL18
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Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin:
Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping. AIES 2018: 297-302

Informal and Other Publications

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2024
[i14]
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  - journals/corr/abs-2406-02925
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Hsuan Su, Hua Farn, Fan-Yun Sun, Shang-Tse Chen, Hung-yi Lee:
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition. CoRR abs/2406.02925 (2024)
[i13]
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  - journals/corr/abs-2410-15536
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Alex Zook, Fan-Yun Sun, Josef B. Spjut, Valts Blukis, Stan Birchfield, Jonathan Tremblay:
GRS: Generating Robotic Simulation Tasks from Real-World Images. CoRR abs/2410.15536 (2024)
2023
[i12]
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  - journals/corr/abs-2304-00673
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Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber:
Partial-View Object View Synthesis via Filtered Inversion. CoRR abs/2304.00673 (2023)
[i11]
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  - journals/corr/abs-2312-09067
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Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, Chris Callison-Burch, Mark Yatskar, Aniruddha Kembhavi, Christopher Clark:
Holodeck: Language Guided Generation of 3D Embodied AI Environments. CoRR abs/2312.09067 (2023)
2022
[i10]
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  - journals/corr/abs-2208-10660
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Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber:
Interaction Modeling with Multiplex Attention. CoRR abs/2208.10660 (2022)
2021
[i9]
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  - journals/corr/abs-2103-16429
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Hsuan Su, Jiun-Hao Jhan, Fan-Yun Sun, Saurav Sahay, Hung-yi Lee:
Put Chatbot into Its Interlocutor's Shoes: New Framework to Learn Chatbot Responding with Intention. CoRR abs/2103.16429 (2021)
[i8]
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  - journals/corr/abs-2106-08261
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Daniel M. Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiau-Yu Fish Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin A. Smith, Fan-Yun Sun, Li Fei-Fei, Nancy Kanwisher, Joshua B. Tenenbaum, Daniel L. K. Yamins, Judith E. Fan:
Physion: Evaluating Physical Prediction from Vision in Humans and Machines. CoRR abs/2106.08261 (2021)
[i7]
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  - journals/corr/abs-2109-14218
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Fan-Yun Sun, Jonathan Kuck, Hao Tang, Stefano Ermon:
Equivariant Neural Network for Factor Graphs. CoRR abs/2109.14218 (2021)
2019
[i6]
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  - journals/corr/abs-1901-10059
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Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin:
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. CoRR abs/1901.10059 (2019)
[i5]
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  - journals/corr/abs-1906-07159
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Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang:
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning. CoRR abs/1906.07159 (2019)
[i4]
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  - journals/corr/abs-1908-01000
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Fan-Yun Sun, Jordan Hoffmann, Jian Tang:
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. CoRR abs/1908.01000 (2019)
[i3]
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  - journals/corr/abs-1910-07800
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Kuan-Lun Tseng, Winston H. Hsu, Chun-Ting Wu, Ya-Fang Shih, Fan-Yun Sun:
Organ At Risk Segmentation with Multiple Modality. CoRR abs/1910.07800 (2019)
2018
[i2]
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  - journals/corr/abs-1809-02105
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Yen-Yu Chang, Fan-Yun Sun, Yueh-Hua Wu, Shou-De Lin:
A Memory-Network Based Solution for Multivariate Time-Series Forecasting. CoRR abs/1809.02105 (2018)
[i1]
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  - journals/corr/abs-1809-02112
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Yueh-Hua Wu, Fan-Yun Sun, Yen-Yu Chang, Shou-De Lin:
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models. CoRR abs/1809.02112 (2018)

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