Region average pooling for context-aware object detection. - Kingsley Kuan; Gaurav Manek; Jie Lin 001; Yuan Fang 001; Vijay Chandrasekhar 001 (ICIP, 2017)

Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge. - Kingsley Kuan; Mathieu Ravaut; Gaurav Manek; Huiling Chen; Jie Lin 001; Babar Nazir; Cen Chen; Tse Chiang Howe; Zeng Zeng; Vijay Chandrasekhar 001 (CoRR, 2017)

Pruning Convolutional Neural Networks for Image Instance Retrieval. - Gaurav Manek; Jie Lin 001; Vijay Chandrasekhar 001; Lingyu Duan; Sateesh Giduthuri; Xiaoli Li 001; Tomaso A. Poggio (CoRR, 2017)

Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text. - Zhe Wang 019; Kingsley Kuan; Mathieu Ravaut; Gaurav Manek; Sibo Song; Fang Yuan; Kim Seokhwan; Nancy F. Chen; Luis Fernando D'Haro; Anh Tuan Luu; Hongyuan Zhu; Zeng Zeng; et al. (CoRR, 2017)

Efficient GAN-Based Anomaly Detection. - Houssam Zenati; Chuan Sheng Foo; Bruno Lecouat; Gaurav Manek; Vijay Ramaseshan Chandrasekhar (CoRR, 2018)

Learning Stable Deep Dynamics Models. - J. Zico Kolter; Gaurav Manek (NeurIPS, 2019)

The Pitfalls of Regularization in Off-Policy TD Learning. - Gaurav Manek; J. Zico Kolter (NeurIPS, 2022)

Projected Off-Policy Q-Learning (POP-QL) for Stabilizing Offline Reinforcement Learning. - Melrose Roderick; Gaurav Manek; Felix Berkenkamp; J. Zico Kolter (CoRR, 2023)

Stable Models and Temporal Difference Learning - Gaurav Manek (2023)