| Uncertainty weighted actor-critic for offline reinforcement learning Y Wu, S Zhai, N Srivastava, J Susskind, J Zhang, R Salakhutdinov, H Goh arXiv preprint arXiv:2105.08140, 2021 | 167 | 2021 |
| Learning deep hierarchical visual feature coding H Goh, N Thome, M Cord, JH Lim IEEE transactions on neural networks and learning systems 25 (12), 2212-2225, 2014 | 121 | 2014 |
| Gaudi: A neural architect for immersive 3d scene generation MA Bautista, P Guo, S Abnar, W Talbott, A Toshev, Z Chen, L Dinh, S Zhai, ... Advances in Neural Information Processing Systems 35, 25102-25116, 2022 | 105 | 2022 |
| An attention free transformer S Zhai, W Talbott, N Srivastava, C Huang, H Goh, R Zhang, J Susskind arXiv preprint arXiv:2105.14103, 2021 | 105 | 2021 |
| Subject-aware contrastive learning for biosignals JY Cheng, H Goh, K Dogrusoz, O Tuzel, E Azemi arXiv preprint arXiv:2007.04871, 2020 | 102 | 2020 |
| Capsules with inverted dot-product attention routing YHH Tsai, N Srivastava, H Goh, R Salakhutdinov arXiv preprint arXiv:2002.04764, 2020 | 98 | 2020 |
| A practical guide to CNNs and Fisher Vectors for image instance retrieval V Chandrasekhar, J Lin, O Morere, H Goh, A Veillard Signal Processing 128, 426-439, 2016 | 69 | 2016 |
| Unsupervised and supervised visual codes with restricted boltzmann machines H Goh, N Thome, M Cord, JH Lim Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 69 | 2012 |
| Biasing restricted Boltzmann machines to manipulate latent selectivity and sparsity H Goh, N Thome, M Cord NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning, 2010 | 44 | 2010 |
| Deephash: Getting regularization, depth and fine-tuning right J Lin, O Morere, V Chandrasekhar, A Veillard, H Goh arXiv preprint arXiv:1501.04711, 2015 | 37 | 2015 |
| Top-down regularization of deep belief networks H Goh, N Thome, M Cord, JH Lim Advances in neural information processing systems 26, 2013 | 37 | 2013 |
| Partially shared neural networks for multiple tasks R Hu, K Garg, H Goh, R Salakhutdinov, N Srivastava, Y Tang US Patent App. 15/828,399, 2018 | 36 | 2018 |
| A practical guide to cnns and fisher vectors for image instance retrieval V Chandrasekhar, J Lin, O Morère, H Goh, A Veillard arXiv preprint arXiv:1508.02496, 2015 | 29 | 2015 |
| Deephash for image instance retrieval: Getting regularization, depth and fine-tuning right J Lin, O Morere, A Veillard, LY Duan, H Goh, V Chandrasekhar Proceedings of the 2017 ACM on International Conference on Multimedia …, 2017 | 24 | 2017 |
| Understanding the nature of first-person videos: Characterization and classification using low-level features C Tan, H Goh, V Chandrasekhar, L Li, JH Lim Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 24 | 2014 |
| Maeeg: Masked auto-encoder for eeg representation learning HYS Chien, H Goh, CM Sandino, JY Cheng arXiv preprint arXiv:2211.02625, 2022 | 23 | 2022 |
| Geometric capsule autoencoders for 3d point clouds N Srivastava, H Goh, R Salakhutdinov arXiv preprint arXiv:1912.03310, 2019 | 22 | 2019 |
| Position prediction as an effective pretraining strategy S Zhai, N Jaitly, J Ramapuram, D Busbridge, T Likhomanenko, JY Cheng, ... arXiv preprint arXiv:2207.07611, 2022 | 18 | 2022 |
| Compact global descriptors for visual search V Chandrasekhar, J Lin, O Morere, A Veillard, H Goh 2015 Data compression conference, 333-342, 2015 | 18 | 2015 |
| Method and system for maintaining a database of reference images Y Li, JH Lim, H Goh US Patent App. 12/996,494, 2011 | 18 | 2011 |
