Követés
Chun-Liang Li
Chun-Liang Li
Research Scientist, Apple
E-mail megerősítve itt: apple.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
42412020
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
10362021
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
8922017
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
5912020
Distilling step-by-step! outperforming larger language models with less training data and smaller model sizes
CY Hsieh, CL Li, CK Yeh, H Nakhost, Y Fujii, A Ratner, R Krishna, CY Lee, ...
arXiv preprint arXiv:2305.02301, 2023
4632023
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
4072017
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
3842020
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Y Zou, Z Zhang, H Zhang, CL Li, X Bian, JB Huang, T Pfister
ICLR 2021, 2021
3832021
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
339*2022
Point cloud gan
CL Li, M Zaheer, Y Zhang, B Poczos, R Salakhutdinov
arXiv preprint arXiv:1810.05795, 2018
2642018
Learning and Evaluating Representations for Deep One-class Classification
K Sohn, CL Li, J Yoon, M Jin, T Pfister
ICLR 2021, 2021
2592021
Tsmixer: An all-mlp architecture for time series forecasting
SA Chen, CL Li, N Yoder, SO Arik, T Pfister
arXiv preprint arXiv:2303.06053, 2023
2382023
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
2352018
i-Mix: A Strategy for Regularizing Contrastive Representation Learning
K Lee, Y Zhu, K Sohn, CL Li, J Shin, H Lee
ICLR 2021, 2021
166*2021
Sobolev gan
Y Mroueh, CL Li, T Sercu, A Raj, Y Cheng
ICLR, 2018
1572018
The strong gravitational lens finding challenge
RB Metcalf, M Meneghetti, C Avestruz, F Bellagamba, CR Bom, E Bertin, ...
Astronomy & Astrophysics 625, A119, 2019
1512019
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
HTD Liu, M Tao, CL Li, D Nowrouzezahrai, A Jacobson
138*2019
Classifier Two-Sample Test for Video Anomaly Detection
Y Liu, CL Li, B Póczos
1232018
Pic2word: Mapping pictures to words for zero-shot composed image retrieval
K Saito, K Sohn, X Zhang, CL Li, CY Lee, K Saenko, T Pfister
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
1162023
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
1062020
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