Research Areas

Research Areas

  • Not Too Close and Not Too Far Enforcing Monotonicity Requires Penalizing The Right Points

    J. Monteiro, M. O. Ahmed, H. Hajimirsadeghi, and G. Mori. NeurIPS Workshop, 2021

    Optimization;

    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

    Learning And Generalization;

    Publication

  • Adapting Grad-CAM for Embedding Networks

    L. Chen, J. Chen, H. Hajimirsadeghi, and G. Mori. WACV, 2020

    Computer Vision;

    Publication

  • Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces

    B. Wang, and N. Hegde. NeurIPS, 2019

    Publication

  • On the Effectiveness of Low Frequency Perturbations

    Y. Sharma, G. W. Ding, and M. Brubaker. IJCAI, 2019

    Computer Vision;

    Publication

  • Private Q-Learning with Functional Noise in Continuous Spaces

    B. Wang, and N. Hegde. NeurIPS, 2019

    Reinforcement Learning;

    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

    Learning And Generalization;

    Publication

  • Compositional Hard Negatives for Visual Semantic Embeddings via an Adversary

    *A. J. Bose, *H. Ling, and Y. Cao. NeurIPS Workshop, 2018

    Computer Vision; Natural Language Processing;

    Publication

  • Adversarial Contrastive Estimation

    *A. J. Bose, *H. Ling, and *Y. Cao. ACL, 2018

    Learning And Generalization;

    Publication

  • Improving GAN Training via Binarized Representation Entropy (BRE) Regularization

    Y. Cao, G. W. Ding, K. Lui, and R. Huang. ICLR, 2018

    Learning And Generalization;

    Publication