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Yi Ma

Computational Benefits of Intermediate Rewards for Hierarchical Planning


Jul 08, 2021
Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma

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On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging


Jun 30, 2021
Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan

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Learning and Meshing from Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching


Jun 18, 2021
Jiabao Lei, Kui Jia, Yi Ma

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* arXiv admin note: text overlap with arXiv:2002.06597 
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ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction


Jun 10, 2021
Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma

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* This paper integrates previous two manuscripts: arXiv:2006.08558 and arXiv:2010.14765, with significantly improved organization, presentation, and new results; V2 polishes writing and adds citation 
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End-to-End Learning for Uplink MU-SIMO Joint Transmitter and Non-Coherent Receiver Design in Fading Channels


May 04, 2021
Songyan Xue, Yi Ma, Na Yi

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* 26 pages, 14 figures, transaction 
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Fully Convolutional Line Parsing


Apr 23, 2021
Xili Dai, Xiaojun Yuan, Haigang Gong, Yi Ma

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* 10 pages 
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NeRD: Neural 3D Reflection Symmetry Detector


Apr 19, 2021
Yichao Zhou, Shichen Liu, Yi Ma

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* CVPR 2021. overlaps with arXiv:2006.10042 
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Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image


Apr 16, 2021
Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan

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* Code is available at https://github.com/Cyang0515/NonCuboidRoom 
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Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition


Mar 17, 2021
Yaodong Yu, Zitong Yang, Edgar Dobriban, Jacob Steinhardt, Yi Ma

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Incremental Learning via Rate Reduction


Nov 30, 2020
Ziyang Wu, Christina Baek, Chong You, Yi Ma

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Deep Networks from the Principle of Rate Reduction


Oct 27, 2020
Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma

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Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients


Sep 28, 2020
Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, Yuan Yao

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* 16 pages 
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HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures


Aug 07, 2020
Yichao Zhou, Jingwei Huang, Xili Dai, Linjie Luo, Zhili Chen, Yi Ma

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Learning Long-term Visual Dynamics with Region Proposal Interaction Networks


Aug 05, 2020
Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik

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* Code: https://github.com/HaozhiQi/RPIN; Website: https://haozhiqi.github.io/RPIN/ 
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Learning to Parse Wireframes in Images of Man-Made Environments


Jul 15, 2020
Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma

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* IEEE Conference on Computer Vision and Pattern Recognition (2018) 626-635 
 * CVPR 2018 
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Deep Isometric Learning for Visual Recognition


Jun 30, 2020
Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik

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* ICML 2020; Code: https://github.com/HaozhiQi/ISONet 
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Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising


Jun 29, 2020
Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai

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* accepted by ICML 2020 
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Stochastic Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization


Jun 27, 2020
Chaobing Song, Yong Jiang, Yi Ma

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* 22 pages, 12 figures 
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Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction


Jun 17, 2020
Yichao Zhou, Shichen Liu, Yi Ma

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Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization


Jun 16, 2020
Chong You, Zhihui Zhu, Qing Qu, Yi Ma

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Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction


Jun 15, 2020
Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma

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Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising


May 12, 2020
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai

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* accepted by IJCAI 2020 
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On Deep Learning Solutions for Joint Transmitter and Noncoherent Receiver Design in MU-MIMO Systems


Apr 14, 2020
Songyan Xue, Yi Ma, Na Yi, Rahim Tafazolli

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* 6 pages, 4 figures 
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A Modular Neural Network Based Deep Learning Approach for MIMO Signal Detection


Apr 01, 2020
Songyan Xue, Yi Ma, Na Yi, Terence E. Dodgson

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* 12 pages, 11 figures, transcation on communications 
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Rethinking Bias-Variance Trade-off for Generalization of Neural Networks


Mar 21, 2020
Zitong Yang, Yaodong Yu, Chong You, Jacob Steinhardt, Yi Ma

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KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge


Feb 18, 2020
Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng

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NeurVPS: Neural Vanishing Point Scanning via Conic Convolution


Oct 14, 2019
Yichao Zhou, Haozhi Qi, Jingwei Huang, Yi Ma

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