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Improved Transformer for High-Resolution GANs


Jun 14, 2021
Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang

* Preprint 

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Aggregating Nested Transformers


May 26, 2021
Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Tomas Pfister

* Preprint 

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Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction


Apr 14, 2021
Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong

* Accepted as a conference paper at ICLR 2021 

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Big Self-Supervised Models Advance Medical Image Classification


Jan 13, 2021
Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi


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FIT: a Fast and Accurate Framework for Solving Medical Inquiring and Diagnosing Tasks


Dec 02, 2020
Weijie He, Xiaohao Mao, Chao Ma, José Miguel Hernández-Lobato, Ting Chen


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Graph Contrastive Learning with Augmentations


Nov 11, 2020
Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

* Supplementary materials are available at https://yyou1996.github.io/files/neurips2020_graphcl_supplement.pdf. NeurIPS 2020 

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Intriguing Properties of Contrastive Losses


Nov 05, 2020
Ting Chen, Lala Li

* Technical report. Code at https://github.com/google-research/simclr/tree/master/colabs/intriguing_properties 

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What's in a Loss Function for Image Classification?


Oct 30, 2020
Simon Kornblith, Honglak Lee, Ting Chen, Mohammad Norouzi


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Robust Pre-Training by Adversarial Contrastive Learning


Oct 26, 2020
Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

* Neurips 2020 

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Deep Hash Embedding for Large-Vocab Categorical Feature Representations


Oct 21, 2020
Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi


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Big Self-Supervised Models are Strong Semi-Supervised Learners


Jun 17, 2020
Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, Geoffrey Hinton

* code and pretrained models at https://github.com/google-research/simclr 

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Image Augmentations for GAN Training


Jun 04, 2020
Zhengli Zhao, Zizhao Zhang, Ting Chen, Sameer Singh, Han Zhang


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Understanding Why Neural Networks Generalize Well Through GSNR of Parameters


Feb 24, 2020
Jinlong Liu, Guoqing Jiang, Yunzhi Bai, Ting Chen, Huayan Wang

* 14 pages, 8 figures, ICLR2020 accepted as spotlight presentation 

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A Simple Framework for Contrastive Learning of Visual Representations


Feb 13, 2020
Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey Hinton


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Differentiable Product Quantization for End-to-End Embedding Compression


Aug 26, 2019
Ting Chen, Yizhou Sun


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Few-Shot Representation Learning for Out-Of-Vocabulary Words


Jul 01, 2019
Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun


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Pre-Training Graph Neural Networks for Generic Structural Feature Extraction


May 31, 2019
Ziniu Hu, Changjun Fan, Ting Chen, Kai-Wei Chang, Yizhou Sun


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Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification


May 24, 2019
Ting Chen, Song Bian, Yizhou Sun

* A shorter version titled "Graph Feature Networks" was accepted to ICLR'19 RLGM workshop 

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Dissecting Graph Neural Networks on Graph Classification


May 11, 2019
Ting Chen, Song Bian, Yizhou Sun

* A shorter version titled "Graph Feature Networks" was accepted to ICLR'19 RLGM workshop 

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Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity


Apr 01, 2019
Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang

* Submitted to ICLR 2019 Workshop: Representation Learning on Graphs and Manifolds 

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Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference


Jan 30, 2019
Shun Liao, Ting Chen, Tian Lin, Denny Zhou, Chong Wang


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Self-Supervised Generative Adversarial Networks


Nov 27, 2018
Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby


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Self-Supervised GAN to Counter Forgetting


Oct 27, 2018
Ting Chen, Xiaohua Zhai, Neil Houlsby


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Graph Edit Distance Computation via Graph Neural Networks


Oct 03, 2018
Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang


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On Self Modulation for Generative Adversarial Networks


Oct 02, 2018
Ting Chen, Mario Lucic, Neil Houlsby, Sylvain Gelly


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Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations


Jun 21, 2018
Ting Chen, Martin Renqiang Min, Yizhou Sun

* ICML 2018. arXiv admin note: text overlap with arXiv:1711.03067 

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HeteroMed: Heterogeneous Information Network for Medical Diagnosis


Apr 22, 2018
Anahita Hosseini, Ting Chen, Wenjun Wu, Yizhou Sun, Majid Sarrafzadeh


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Learning K-way D-dimensional Discrete Code For Compact Embedding Representations


Dec 10, 2017
Ting Chen, Martin Renqiang Min, Yizhou Sun

* NIPS'17 DISCML 

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