Research Areas

Research Areas

  • Efficient CDF Approximations for Normalizing Flows

    C.S. Sastry, A. Lehrmann, M. Brubaker, and A. Radovic. TMLR, 2022

    Publication

  • PUMA: Performance Unchanged Model Augmentation for Training Data Removal

    G. Wu, M. Hashemi, and C. Srinivasa. AAAI, 2022

    Publication

  • Heterogeneous Multi-task Learning with Expert Diversity

    R. Aoki, F. Tung, and G. Oliveira. TCBB, 2022

    ; Multi-task Learning

    Publication

  • Evaluating Lossy Compression Rates of Deep Generative Models

    *S. Huang, *A. Makhzani, Y. Cao, and R. Grosse. ICML, 2020

    Generative Models;

    Publication

  • Learning User Representations for Open Vocabulary Image Hashtag Prediction

    T. Durand. CVPR, 2020

    Computer Vision;

    Publication

  • Better Long-Range Dependency by Bootstrapping A Mutual Information Regularizer

    *Y. Cao, and *P. Xu. AISTATS, 2021

    ; Natural Language Processing

    Publication

  • Max-Margin Adversarial Training: Direct Input Space Margin Maximization through Adversarial Training

    G. W. Ding, Y. Sharma, K. Lui, and R. Huang. ICLR, 2020

    ; Responsible AI

    Publication

  • Similarity-Preserving Knowledge Distillation

    F. Tung, and G. Mori. ICCV, 2019

    Computer Vision;

    Publication

  • Lifelong GAN: Continual Learning for Conditional Image Generation

    *M. Zhai, *L. Chen, F. Tung, J. He, M. Nawhal, and G. Mori. ICCV, 2019

    Generative Models;

    Publication

  • Uniform Stability and High Order Approximation of SGLD in Non-Convex Learning

    M. Gazeau, and M. Li. ICML Workshop, 2019

    Publication

  • On the Sensitivity of Adversarial Robustness to Input Data Distributions

    G. W. Ding, K. Y. C. Lui, T. Jin, L. Wang, and R. Huang. ICLR, 2019

    ; Responsible AI

    Publication

  • Few-Shot Self Reminder to Overcome Catastrophic Forgetting

    J. Wen, Y. Cao, and R. Huang. arXiv, 2018

    Publication