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ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction

Jun 21, 2021
Chen-Yu Lee, Chun-Liang Li, Chu Wang, Renshen Wang, Yasuhisa Fujii, Siyang Qin, Ashok Popat, Tomas Pfister

* Accepted to ACL-IJCNLP 2021 (Oral) 

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Self-Trained One-class Classification for Unsupervised Anomaly Detection

Jun 11, 2021
Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan O. Arik, Chen-Yu Lee, Tomas Pfister

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DISSECT: Disentangled Simultaneous Explanations via Concept Traversals

May 31, 2021
Asma Ghandeharioun, Been Kim, Chun-Liang Li, Brendan Jou, Brian Eoff, Rosalind W. Picard

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CutPaste: Self-Supervised Learning for Anomaly Detection and Localization

Apr 08, 2021
Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister

* Published at CVPR 2021. The first two authors contributed equally 

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Learning and Evaluating Representations for Deep One-class Classification

Nov 04, 2020
Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister

* preprint 

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PseudoSeg: Designing Pseudo Labels for Semantic Segmentation

Oct 19, 2020
Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister

* Project page: 

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i-Mix: A Strategy for Regularizing Contrastive Representation Learning

Oct 17, 2020
Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee

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Interpretable Sequence Learning for COVID-19 Forecasting

Aug 03, 2020
Sercan O. Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Nate Yoder, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister

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Kernel Stein Generative Modeling

Jul 06, 2020
Wei-Cheng Chang, Chun-Liang Li, Youssef Mroueh, Yiming Yang

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A Simple Semi-Supervised Learning Framework for Object Detection

May 10, 2020
Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, Tomas Pfister

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Unsupervised Program Synthesis for Images using Tree-Structured LSTM

Jan 27, 2020
Chenghui Zhou, Chun-Liang Li, Barnabas Poczos

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Learned Interpolation for 3D Generation

Jan 24, 2020
Austin Dill, Songwei Ge, Eunsu Kang, Chun-Liang Li, Barnabas Poczos

* Creativity and Design Workshop at NeurIPS 2019 

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FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Jan 21, 2020
Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Han Zhang, Colin Raffel

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Getting Topology and Point Cloud Generation to Mesh

Dec 08, 2019
Austin Dill, Chun-Liang Li, Songwei Ge, Eunsu Kang

* Sets & Partitions Workshop at NeurIPS 2019 

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On Concept-Based Explanations in Deep Neural Networks

Oct 17, 2019
Chih-Kuan Yeh, Been Kim, Sercan O. Arik, Chun-Liang Li, Pradeep Ravikumar, Tomas Pfister

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Developing Creative AI to Generate Sculptural Objects

Aug 20, 2019
Songwei Ge, Austin Dill, Eunsu Kang, Chun-Liang Li, Lingyao Zhang, Manzil Zaheer, Barnabas Poczos

* In the Proceedings of International Symposium on Electronic Art (ISEA 2019) 

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LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds

Apr 22, 2019
Chun-Liang Li, Tomas Simon, Jason Saragih, Barnab谩s P贸czos, Yaser Sheikh

* In the Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019) 

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Implicit Kernel Learning

Feb 26, 2019
Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnab谩s P贸czos

* In the Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019) 

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Kernel Change-point Detection with Auxiliary Deep Generative Models

Jan 18, 2019
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnab谩s P贸czos

* To appear in ICLR 2019 

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Hallucinating Point Cloud into 3D Sculptural Object

Nov 29, 2018
Chun-Liang Li, Eunsu Kang, Songwei Ge, Lingyao Zhang, Austin Dill, Manzil Zaheer, Barnabas Poczos

* Accepted by Second Workshop on Machine Learning for Creativity and Design, NIPS 2018 

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Nonparametric Density Estimation under Adversarial Losses

Oct 28, 2018
Shashank Singh, Ananya Uppal, Boyue Li, Chun-Liang Li, Manzil Zaheer, Barnab谩s P贸czos

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Point Cloud GAN

Oct 13, 2018
Chun-Liang Li, Manzil Zaheer, Yang Zhang, Barnabas Poczos, Ruslan Salakhutdinov

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Adversarial Geometry and Lighting using a Differentiable Renderer

Aug 08, 2018
Hsueh-Ti Derek Liu, Michael Tao, Chun-Liang Li, Derek Nowrouzezahrai, Alec Jacobson

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Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond

Apr 14, 2018
Xi Ouyang, Yu Cheng, Yifan Jiang, Chun-Liang Li, Pan Zhou

* v2.0,adding supplementary 

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MMD GAN: Towards Deeper Understanding of Moment Matching Network

Nov 27, 2017
Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnab谩s P贸czos

* In the Proceedings of Thirty-first Annual Conference on Neural Information Processing Systems (NIPS 2017) 

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Sobolev GAN

Nov 14, 2017
Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng

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Data-driven Random Fourier Features using Stein Effect

May 23, 2017
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabas Poczos

* To appear in International Joint Conference on Artificial Intelligence (IJCAI), 2017 

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One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models

Mar 29, 2017
J. H. Rick Chang, Chun-Liang Li, Barnabas Poczos, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan

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Annealing Gaussian into ReLU: a New Sampling Strategy for Leaky-ReLU RBM

Nov 11, 2016
Chun-Liang Li, Siamak Ravanbakhsh, Barnabas Poczos

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