Chun-Liang Li
Chun-Liang Li
Research Scientist, Google
Verified email at - Homepage
Cited by
Cited by
Fixmatch: Simplifying semi-supervised learning with consistency and confidence
K Sohn, D Berthelot, N Carlini, Z Zhang, H Zhang, CA Raffel, ED Cubuk, ...
Advances in neural information processing systems 33, 596-608, 2020
MMD GAN: Towards deeper understanding of moment matching network
CL Li, WC Chang, Y Cheng, Y Yang, B Póczos
Advances in Neural Information Processing Systems, 2203-2213, 2017
One Network to Solve Them All--Solving Linear Inverse Problems Using Deep Projection Models
JH Rick Chang, CL Li, B Poczos, BVK Vijaya Kumar, ...
Proceedings of the IEEE International Conference on Computer Vision, 5888-5897, 2017
Cutpaste: Self-supervised learning for anomaly detection and localization
CL Li, K Sohn, J Yoon, T Pfister
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
A simple semi-supervised learning framework for object detection
K Sohn, Z Zhang, CL Li, H Zhang, CY Lee, T Pfister
arXiv preprint arXiv:2005.04757, 2020
CMU DeepLens: deep learning for automatic image-based galaxy–galaxy strong lens finding
F Lanusse, Q Ma, N Li, TE Collett, CL Li, S Ravanbakhsh, R Mandelbaum, ...
Monthly Notices of the Royal Astronomical Society 473 (3), 3895-3906, 2018
Point cloud gan
CL Li, M Zaheer, Y Zhang, B Poczos, R Salakhutdinov
arXiv preprint arXiv:1810.05795, 2018
On completeness-aware concept-based explanations in deep neural networks
CK Yeh, B Kim, S Arik, CL Li, T Pfister, P Ravikumar
Advances in Neural Information Processing Systems 33, 2020
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Y Zou, Z Zhang, H Zhang, CL Li, X Bian, JB Huang, T Pfister
ICLR 2021, 2021
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
Sobolev gan
Y Mroueh, CL Li, T Sercu, A Raj, Y Cheng
ICLR, 2018
Learning and Evaluating Representations for Deep One-class Classification
K Sohn, CL Li, J Yoon, M Jin, T Pfister
ICLR 2021, 2021
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
HTD Liu, M Tao, CL Li, D Nowrouzezahrai, A Jacobson
The strong gravitational lens finding challenge
RB Metcalf, M Meneghetti, C Avestruz, F Bellagamba, CR Bom, E Bertin, ...
Astronomy & Astrophysics 625, A119, 2019
High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models
CL Li, K Kandasamy, B Póczos, J Schneider
Proceedings of the 19th International Conference on Artificial Intelligence …, 2016
i-Mix: A Strategy for Regularizing Contrastive Representation Learning
K Lee, Y Zhu, K Sohn, CL Li, J Shin, H Lee
ICLR 2021, 2021
Classifier Two-Sample Test for Video Anomaly Detection
Y Liu, CL Li, B Póczos
Interpretable sequence learning for COVID-19 forecasting
S Arik, CL Li, J Yoon, R Sinha, A Epshteyn, L Le, V Menon, S Singh, ...
Advances in Neural Information Processing Systems 33, 18807-18818, 2020
Pedestrian-synthesis-gan: Generating pedestrian data in real scene and beyond
X Ouyang, Y Cheng, Y Jiang, CL Li, P Zhou
arXiv preprint arXiv:1804.02047, 2018
A linear ensemble of individual and blended models for music rating prediction
PL Chen, CT Tsai, YN Chen, KC Chou, CL Li, CH Tsai, KW Wu, YC Chou, ...
Proceedings of KDD Cup 2011, 21-60, 2012
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