| Tensorflow: Large-scale machine learning on heterogeneous distributed systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2016 | 12664 | 2016 |
| Smoothgrad: removing noise by adding noise D Smilkov, N Thorat, B Kim, F Viégas, M Wattenberg arXiv preprint arXiv:1706.03825, 2017 | 2704 | 2017 |
| Google’s multilingual neural machine translation system: Enabling zero-shot translation M Johnson, M Schuster, QV Le, M Krikun, Y Wu, Z Chen, N Thorat, ... Transactions of the Association for Computational Linguistics 5, 339-351, 2017 | 2469 | 2017 |
| Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav) B Kim, M Wattenberg, J Gilmer, C Cai, J Wexler, F Viegas International conference on machine learning, 2668-2677, 2018 | 2271 | 2018 |
| Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv 2016 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467 10, 2019 | 1343 | 2019 |
| Studying cooperation and conflict between authors with history flow visualizations FB Viégas, M Wattenberg, K Dave Proceedings of the SIGCHI conference on Human factors in computing systems …, 2004 | 1328 | 2004 |
| Manyeyes: a site for visualization at internet scale FB Viegas, M Wattenberg, F Van Ham, J Kriss, M McKeon IEEE transactions on visualization and computer graphics 13 (6), 1121-1128, 2007 | 1080 | 2007 |
| How to use t-SNE effectively M Wattenberg, F Viégas, I Johnson Distill 1 (10), e2, 2016 | 1020 | 2016 |
| The what-if tool: Interactive probing of machine learning models J Wexler, M Pushkarna, T Bolukbasi, M Wattenberg, F Viégas, J Wilson IEEE transactions on visualization and computer graphics 26 (1), 56-65, 2019 | 678 | 2019 |
| Participatory visualization with wordle FB Viegas, M Wattenberg, J Feinberg IEEE transactions on visualization and computer graphics 15 (6), 1137-1144, 2009 | 605 | 2009 |
| Visualizing conversation J Donath, K Karahalios, F Viegas Journal of computer-mediated communication 4 (4), JCMC442, 1999 | 572 | 1999 |
| TensorFlow: large-scale machine learning on heterogeneous distributed systems (2016) M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467 52, 2015 | 547 | 2015 |
| Talk before you type: Coordination in Wikipedia FB Viégas, M Wattenberg, J Kriss, F Van Ham 2007 40th Annual Hawaii International Conference on System Sciences (HICSS …, 2007 | 547 | 2007 |
| Human-centered tools for coping with imperfect algorithms during medical decision-making CJ Cai, E Reif, N Hegde, J Hipp, B Kim, D Smilkov, M Wattenberg, ... Proceedings of the 2019 chi conference on human factors in computing systems …, 2019 | 518 | 2019 |
| The word tree, an interactive visual concordance M Wattenberg, FB Viégas IEEE transactions on visualization and computer graphics 14 (6), 1221-1228, 2008 | 513 | 2008 |
| Visualizing and measuring the geometry of BERT E Reif, A Yuan, M Wattenberg, FB Viegas, A Coenen, A Pearce, B Kim Advances in neural information processing systems 32, 2019 | 493 | 2019 |
| TensorFlow: Large-scale machine learning on heterogeneous systems (2015), software available from tensorflow. org M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 441 | 2019 |
| Visualizing dataflow graphs of deep learning models in tensorflow K Wongsuphasawat, D Smilkov, J Wexler, J Wilson, D Mane, D Fritz, ... IEEE transactions on visualization and computer graphics 24 (1), 1-12, 2017 | 431 | 2017 |
| Bloggers' expectations of privacy and accountability: An initial survey FB Viégas Journal of computer-mediated communication 10 (3), JCMC10310, 2005 | 426 | 2005 |
| Inference-time intervention: Eliciting truthful answers from a language model K Li, O Patel, F Viégas, H Pfister, M Wattenberg Advances in Neural Information Processing Systems 36, 41451-41530, 2023 | 388 | 2023 |
Martin WattenbergHarvard University / Google Research確認したメール アドレス: seas.harvard.edu