Chun-Liang Li

PhD thesis, 2020

i-Mix: A Strategy for Regularizing Contrastive Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Interpretable Sequence Learning for COVID-19 Forecasting.

[BibT_eX]

[DOI]

CoRR, 2020

Kernel Stein Generative Modeling.

[BibT_eX]

[DOI]

CoRR, 2020

A Simple Semi-Supervised Learning Framework for Object Detection.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Program Synthesis for Images using Tree-Structured LSTM.

[BibT_eX]

[DOI]

Chenghui Zhou

CoRR, 2020

On Completeness-aware Concept-Based Explanations in Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Interpretable Sequence Learning for Covid-19 Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Learned Interpolation for 3D Generation.

[BibT_eX]

[DOI]

CoRR, 2019

Getting Topology and Point Cloud Generation to Mesh.

[BibT_eX]

[DOI]

CoRR, 2019

On Concept-Based Explanations in Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Developing Creative AI to Generate Sculptural Objects.

[BibT_eX]

[DOI]

CoRR, 2019

Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Point Cloud GAN.

[BibT_eX]

[DOI]

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Kernel Change-point Detection with Auxiliary Deep Generative Models.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Implicit Kernel Learning.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Bayesian CycleGAN via Marginalizing Latent Sampling.

[BibT_eX]

[DOI]

CoRR, 2018

Hallucinating Point Cloud into 3D Sculptural Object.

[BibT_eX]

[DOI]

CoRR, 2018

Adversarial Geometry and Lighting using a Differentiable Renderer.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Nonparametric Density Estimation under Adversarial Losses.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Sobolev GAN.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Classifier Two Sample Test for Video Anomaly Detections.

[BibT_eX]

[DOI]

Yusha Liu

Proceedings of the British Machine Vision Conference 2018, 2018

2017

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

[BibT_eX]

[DOI]

Jen-Hao Rick Chang

Aswin C. Sankaranarayanan

B. V. K. Vijaya Kumar

CoRR, 2017

MMD GAN: Towards Deeper Understanding of Moment Matching Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Data-driven Random Fourier Features using Stein Effect.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

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

[BibT_eX]

[DOI]

Jen-Hao Rick Chang

B. V. K. Vijaya Kumar

Proceedings of the IEEE International Conference on Computer Vision, 2017

Polynomial Optimization Methods for Matrix Factorization.

[BibT_eX]

[DOI]

Po-Wei Wang

J. Zico Kolter

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

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

[BibT_eX]

[DOI]

Siamak Ravanbakhsh

CoRR, 2016

Utilize Old Coordinates: Faster Doubly Stochastic Gradients for Kernel Methods.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA.

[BibT_eX]

[DOI]

Chi-Jen Lu

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models.

[BibT_eX]

[DOI]

Kirthevasan Kandasamy

Jeff G. Schneider

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Active Learning Using Hint Information.

[BibT_eX]

[DOI]

Chun-Sung Ferng

Neural Comput., 2015

Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2015

2014

Effective string processing and matching for author disambiguation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Condensed Filter Tree for Cost-Sensitive Multi-Label Classification.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

POSTER: Scanning-free Personalized Malware Warning System by Learning Implicit Feedback from Detection Logs.

[BibT_eX]

[DOI]

Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security, 2014

2012

Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation.

[BibT_eX]

[DOI]

Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012

Active Learning with Hinted Support Vector Machine.

[BibT_eX]

[DOI]

Chun-Sung Ferng