Publications

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; Responsible AI

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; Responsible AI

Adapting Grad-CAM for Embedding Networks

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

Computer Vision; Responsible AI

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

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

Responsible AI

On the Effectiveness of Low Frequency Perturbations

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

Computer Vision; Responsible AI

Private Q-Learning with Functional Noise in Continuous Spaces

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

Reinforcement Learning; Responsible AI

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; Responsible AI

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; Responsible AI

Adversarial Contrastive Estimation

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

Learning And Generalization; Responsible AI

Improving GAN Training via Binarized Representation Entropy (BRE) Regularization

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

Learning And Generalization; Responsible AI