Fan-Yun Sun

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Learning Models

Mutual Information Maximization

Uncalibrated Images

Reinforcement Learning

Top Venues

Publications

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 (2024)
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)
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)
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 (2023)
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 (2023)
Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber
Interaction Modeling with Multiplex Attention. CoRR (2022)
Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber
Interaction Modeling with Multiplex Attention. NeurIPS (2022)
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 (2021)
Fan-Yun Sun, Jonathan Kuck, Hao Tang, Stefano Ermon
Equivariant Neural Network for Factor Graphs. CoRR (2021)
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 (2021)
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)
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)
Fan-Yun Sun, Jordan Hoffmann, Vikas Verma, Jian Tang
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. ICLR (2020)
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)
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 (2019)
Fan-Yun Sun, Jordan Hoffmann, Jian Tang
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. CoRR (2019)
Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. CoRR (2019)
Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. AAMAS (2019)
Kuan-Lun Tseng, Winston H. Hsu, Chun-Ting Wu, Ya-Fang Shih, Fan-Yun Sun
Organ At Risk Segmentation with Multiple Modality. CoRR (2019)
Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin
Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping. AIES (2018)
Yen-Yu Chang, Fan-Yun Sun, Yueh-Hua Wu, Shou-De Lin
A Memory-Network Based Solution for Multivariate Time-Series Forecasting. CoRR (2018)
Yueh-Hua Wu, Fan-Yun Sun, Yen-Yu Chang, Shou-De Lin
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models. CoRR (2018)