Miao, Yishu

9 publications

CVPR 2022 Kubric: A Scalable Dataset Generator Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam Laradji, Hsueh-Ti Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Oztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi

IJCAI 2022 Logically Consistent Adversarial Attacks for Soft Theorem Provers Alexander Gaskell, Yishu Miao, Francesca Toni, Lucia Specia

ICCVW 2021 Latent Variable Models for Visual Question Answering Zixu Wang, Yishu Miao, Lucia Specia

AAAI 2019 MotionTransformer: Transferring Neural Inertial Tracking Between Domains Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni

ICLR 2018 Memory Architectures in Recurrent Neural Network Language Models Dani Yogatama, Yishu Miao, Gabor Melis, Wang Ling, Adhiguna Kuncoro, Chris Dyer, Phil Blunsom

ICML 2017 Discovering Discrete Latent Topics with Neural Variational Inference Yishu Miao, Edward Grefenstette, Phil Blunsom

ICML 2017 Latent Intention Dialogue Models Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, Steve Young

IJCAI 2017 Tag-Aware Personalized Recommendation Using a Hybrid Deep Model Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Xiangwu Meng

ICML 2016 Neural Variational Inference for Text Processing Yishu Miao, Lei Yu, Phil Blunsom