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Efficient CDF Approximations for Normalizing Flows
Efficient CDF Approximations for Normalizing Flows
C.S. Sastry, A. Lehrmann, M. Brubaker, and A. Radovic. Transactions on Machine Learning Research (TMLR), 2022
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PUMA: Performance Unchanged Model Augmentation for Training Data Removal
PUMA: Performance Unchanged Model Augmentation for Training Data Removal
G. Wu, M. Hashemi, and C. Srinivasa. Association for the Advancement of Artificial Intelligence (AAAI), 2022
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Heterogeneous Multi-task Learning with Expert Diversity
Heterogeneous Multi-task Learning with Expert Diversity
R. Aoki, F. Tung, and G. Oliveira. Transactions on Computational Biology and Bioinformatics (TCBB), 2022
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Evaluating Lossy Compression Rates of Deep Generative Models
Evaluating Lossy Compression Rates of Deep Generative Models
*S. Huang, *A. Makhzani, Y. Cao, and R. Grosse. International Conference on Machine Learning (ICML), 2020
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Learning User Representations for Open Vocabulary Image Hashtag Prediction
Learning User Representations for Open Vocabulary Image Hashtag Prediction
T. Durand. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2020
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Max-Margin Adversarial Training: Direct Input Space Margin Maximization through Adversarial Training
Max-Margin Adversarial Training: Direct Input Space Margin Maximization through Adversarial Training
G. W. Ding, Y. Sharma, K. Lui, and R. Huang. International Conference on Learning Representations (ICLR), 2020
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Better Long-Range Dependency by Bootstrapping A Mutual Information Regularizer
Better Long-Range Dependency by Bootstrapping A Mutual Information Regularizer
*Y. Cao, and *P. Xu. International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
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Lifelong GAN: Continual Learning for Conditional Image Generation
Lifelong GAN: Continual Learning for Conditional Image Generation
*M. Zhai, *L. Chen, F. Tung, J. He, M. Nawhal, and G. Mori. International Conference on Computer Vision (ICCV), 2019
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Similarity-Preserving Knowledge Distillation
Similarity-Preserving Knowledge Distillation
F. Tung, and G. Mori. International Conference on Computer Vision (ICCV), 2019
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Uniform Stability and High Order Approximation of SGLD in Non-Convex Learning
Uniform Stability and High Order Approximation of SGLD in Non-Convex Learning
M. Gazeau, and M. Li. International Conference on Machine Learning Workshop on Understanding and Improving Generalization in Deep Learning (ICML), 2019
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On the Sensitivity of Adversarial Robustness to Input Data Distributions
On the Sensitivity of Adversarial Robustness to Input Data Distributions
G. W. Ding, K. Y. C. Lui, T. Jin, L. Wang, and R. Huang. International Conference on Learning Representations (ICLR), 2019
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Few-Shot Self Reminder to Overcome Catastrophic Forgetting
Few-Shot Self Reminder to Overcome Catastrophic Forgetting
J. Wen, Y. Cao, and R. Huang. Conference on Neural Information Processing Systems Workshop on Continual Learning (NeurIPS), 2018
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