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Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis


Mar 31, 2021
Chaoyi Zhang, Jianhui Yu, Yang Song, Weidong Cai

* CVPR2021 

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Improved Autoregressive Modeling with Distribution Smoothing


Mar 28, 2021
Chenlin Meng, Jiaming Song, Yang Song, Shengjia Zhao, Stefano Ermon

* ICLR 2021 (Oral) 

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Anytime Sampling for Autoregressive Models via Ordered Autoencoding


Feb 23, 2021
Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon

* Accepted by ICLR 2021 

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CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy Images


Feb 20, 2021
Yuqian Chen, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Wojciech Chrzanowski, Weidong Cai

* 4 pages,3 figures, to be published in The IEEE International Symposium on Biomedical Imaging (ISBI) 2021 

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On Maximum Likelihood Training of Score-Based Generative Models


Jan 22, 2021
Conor Durkan, Yang Song


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Single Neuron Segmentation using Graph-based Global Reasoning with Auxiliary Skeleton Loss from 3D Optical Microscope Images


Jan 22, 2021
Heng Wang, Yang Song, Chaoyi Zhang, Jianhui Yu, Siqi Liu, Hanchuan Peng, Weidong Cai

* 5 pages, 3 figures, 2 tables, ISBI2021 

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How to Train Your Energy-Based Models


Jan 09, 2021
Yang Song, Diederik P. Kingma


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Linear-Time WordPiece Tokenization


Dec 31, 2020
Xinying Song, Alex Salcianu, Yang Song, Dave Dopson, Denny Zhou


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Learning Energy-Based Models by Diffusion Recovery Likelihood


Dec 15, 2020
Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P. Kingma


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Score-Based Generative Modeling through Stochastic Differential Equations


Nov 26, 2020
Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole


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Autoregressive Score Matching


Oct 24, 2020
Chenlin Meng, Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon

* NeurIPS 2020 

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Imitation with Neural Density Models


Oct 19, 2020
Kuno Kim, Akshat Jindal, Yang Song, Jiaming Song, Yanan Sui, Stefano Ermon


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Understanding Classifier Mistakes with Generative Models


Oct 05, 2020
Laëtitia Shao, Yang Song, Stefano Ermon

* 17 pages, 10 figures. Submitted to ICLR2021 

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Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network


Sep 25, 2020
Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen

* CIKM 2020 

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Efficient Learning of Generative Models via Finite-Difference Score Matching


Jul 07, 2020
Tianyu Pang, Kun Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu


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BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture


Jul 06, 2020
Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai

* 10 pages, 4 figures, MICCAI2020 

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Improved Techniques for Training Score-Based Generative Models


Jun 16, 2020
Yang Song, Stefano Ermon


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Detecting Problem Statements in Peer Assessments


May 30, 2020
Yunkai Xiao, Gabriel Zingle, Qinjin Jia, Harsh R. Shah, Yi Zhang, Tianyi Li, Mohsin Karovaliya, Weixiang Zhao, Yang Song, Jie Ji, Ashwin Balasubramaniam, Harshit Patel, Priyankha Bhalasubbramanian, Vikram Patel, Edward F. Gehringer

* 8 pages, 9 images. Extended version of a paper published at EDM 2020, 13th International Conference on Educational Data Mining 

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Gleason Score Prediction using Deep Learning in Tissue Microarray Image


May 11, 2020
Yi-hong Zhang, Jing Zhang, Yang Song, Chaomin Shen, Guang Yang


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ICE-GAN: Identity-aware and Capsule-Enhanced GAN for Micro-Expression Recognition and Synthesis


May 09, 2020
Jianhui Yu, Chaoyi Zhang, Yang Song, Weidong Cai

* 13 pages, 5 figures 

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Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting


May 05, 2020
Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai

* Accepted by CVPR2020 

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Shape-Oriented Convolution Neural Network for Point Cloud Analysis


Apr 20, 2020
Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai

* https://www.aaai.org/Papers/AAAI/2020GB/AAAI-ZhangC.4075.pdf 
* 8 pages, 6 figures, AAAI2020 

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Improving 3D Object Detection through Progressive Population Based Augmentation


Apr 02, 2020
Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov


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Output Diversified Initialization for Adversarial Attacks


Mar 15, 2020
Yusuke Tashiro, Yang Song, Stefano Ermon


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Training Deep Energy-Based Models with f-Divergence Minimization


Mar 06, 2020
Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon


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Gaussianization Flows


Mar 04, 2020
Chenlin Meng, Yang Song, Jiaming Song, Stefano Ermon

* AISTATS 2020 

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Permutation Invariant Graph Generation via Score-Based Generative Modeling


Mar 02, 2020
Chenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon

* 14 pages, AISTATS 2020 

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Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images


Feb 15, 2020
Dongnan Liu, Donghao Zhang, Yang Song, Heng Huang, Weidong Cai

* 13 pages, 10 figures 

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Nonlinear Equation Solving: A Faster Alternative to Feedforward Computation


Feb 10, 2020
Yang Song, Chenlin Meng, Renjie Liao, Stefano Ermon


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