| Mlperf inference benchmark VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ... 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020 | 514 | 2020 |
| Mlperf training benchmark P Mattson, C Cheng, G Diamos, C Coleman, P Micikevicius, D Patterson, ... Proceedings of Machine Learning and Systems 2, 336-349, 2020 | 331 | 2020 |
| Recurrent computations for visual pattern completion H Tang, M Schrimpf, W Lotter, C Moerman, A Paredes, J Ortega Caro, ... Proceedings of the National Academy of Sciences 115 (35), 8835-8840, 2018 | 237 | 2018 |
| MLPerf: An industry standard benchmark suite for machine learning performance P Mattson, VJ Reddi, C Cheng, C Coleman, G Diamos, D Kanter, ... IEEE Micro 40 (2), 8-16, 2020 | 175 | 2020 |
| ATRW: A Benchmark for Amur Tiger Re-identification in the Wild S Li, J Li, H Tang, R Qian, W Lin Proceedings of the 28th ACM International Conference on Multimedia, 2590-2598, 2020 | 110 | 2020 |
| Spatiotemporal dynamics underlying object completion in human ventral visual cortex H Tang, C Buia, R Madhavan, NE Crone, JR Madsen, WS Anderson, ... Neuron 83 (3), 736-748, 2014 | 97 | 2014 |
| Spacenet MVOI: a multi-view overhead imagery dataset N Weir, D Lindenbaum, A Bastidas, AV Etten, S McPherson, J Shermeyer, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 992 …, 2019 | 77 | 2019 |
| Channel attention networks AA Bastidas, H Tang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 58 | 2019 |
| On the geometry of generalization and memorization in deep neural networks C Stephenson, S Padhy, A Ganesh, Y Hui, H Tang, SY Chung ICLR 2021, 2021 | 54 | 2021 |
| Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks L Cambier, A Bhiwandiwalla, T Gong, M Nekuii, OH Elibol, H Tang ICLR 2020, 2020 | 54 | 2020 |
| Amur tiger re-identification in the wild S Li, J Li, W Lin, H Tang arXiv preprint arXiv:1906.05586, 2019 | 42 | 2019 |
| Cascade of neural processing orchestrates cognitive control in human frontal cortex H Tang, HY Yu, CC Chou, NE Crone, JR Madsen, WS Anderson, ... Elife 5, e12352, 2016 | 41 | 2016 |
| A New System for Comparative Functional Genomics of Saccharomyces Yeasts AA Caudy, Y Guan, Y Jia, C Hansen, C DeSevo, AP Hayes, J Agee, ... Genetics 195 (1), 275-287, 2013 | 36 | 2013 |
| Low error discrimination using a correlated population code G Schwartz, J Macke, D Amodei, H Tang, MJ Berry Journal of neurophysiology 108 (4), 1069-1088, 2012 | 36 | 2012 |
| Emergence of Separable Manifolds in Deep Language Representations J Mamou, H Le, M Del Rio, C Stephenson, H Tang, Y Kim, SY Chung ICML 2020, 2020 | 35 | 2020 |
| Untangling in invariant speech recognition C Stephenson, J Feather, S Padhy, O Elibol, H Tang, J McDermott, ... NeurIPS 2019, 2020 | 31 | 2020 |
| Predicting episodic memory formation for movie events H Tang, J Singer, MJ Ison, G Pivazyan, M Romaine, R Frias, E Meller, ... Scientific reports 6 (1), 1-14, 2016 | 22 | 2016 |
| Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models M Alleman, J Mamou, MA Del Rio, H Tang, Y Kim, SY Chung arXiv preprint arXiv:2104.07578, 2021 | 21 | 2021 |
| Triplet-aware scene graph embeddings B Schroeder, S Tripathi, H Tang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 20 | 2019 |
| Recognition of occluded objects H Tang, G Kreiman Computational and cognitive neuroscience of vision, 41-58, 2017 | 16 | 2017 |
