Követés
Nikhil Naik
Nikhil Naik
Salesforce Research, MIT
E-mail megerősítve itt: mit.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Designing neural network architectures using reinforcement learning
B Baker, O Gupta, N Naik, R Raskar
ICLR, 2017
16082017
Deep learning-enabled medical computer vision
A Esteva, K Chou, S Yeung, N Naik, A Madani, A Mottaghi, Y Liu, E Topol, ...
npj Digital Medicine 4 (1), 1-9, 2021
5322021
Streetscore-predicting the perceived safety of one million streetscapes
N Naik, J Philipoom, R Raskar, C Hidalgo
IEEE Conference on Computer Vision and Pattern Recognition Workshops, 779-785, 2014
4442014
Deep learning the city: Quantifying urban perception at a global scale
A Dubey, N Naik, D Parikh, R Raskar, CA Hidalgo
ECCV 2016, 196-212, 2016
3942016
Accelerating neural architecture search using performance prediction
B Baker, O Gupta, R Raskar, N Naik
ICLR Workshops, 2018
3852018
Big data and big cities: The promises and limitations of improved measures of urban life
EL Glaeser, SD Kominers, M Luca, N Naik
Economic Inquiry 56 (1), 114-137, 2018
3322018
Computer vision uncovers predictors of physical urban change
N Naik, SD Kominers, R Raskar, EL Glaeser, CA Hidalgo
Proceedings of the National Academy of Sciences 114 (29), 7571-7576, 2017
291*2017
Green streets− Quantifying and mapping urban trees with street-level imagery and computer vision
I Seiferling, N Naik, C Ratti, R Proulx
Landscape and Urban Planning 165, 93-101, 2017
2282017
Pairwise confusion for fine-grained visual classification
A Dubey, O Gupta, P Guo, R Raskar, R Farrell, N Naik
Proceedings of the European conference on computer vision (ECCV), 70-86, 2018
2182018
Progen: Language modeling for protein generation
A Madani, B McCann, N Naik, NS Keskar, N Anand, RR Eguchi, ...
arXiv preprint arXiv:2004.03497, 2020
1882020
Maximum-entropy fine-grained classification
A Dubey, O Gupta, R Raskar, N Naik
Neural Information Processing Systems (NeurIPS), 2018
1682018
Large language models generate functional protein sequences across diverse families
A Madani, B Krause, ER Greene, S Subramanian, BP Mohr, JM Holton, ...
Nature Biotechnology, 1-8, 2023
165*2023
Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains
N Naik, A Madani, A Esteva, NS Keskar, MF Press, D Ruderman, DB Agus, ...
Nature communications 11 (1), 5727, 2020
1442020
The ai economist: Improving equality and productivity with ai-driven tax policies
S Zheng, A Trott, S Srinivasa, N Naik, M Gruesbeck, DC Parkes, R Socher
arXiv preprint arXiv:2004.13332, 2020
1312020
Single view reflectance capture using multiplexed scattering and time-of-flight imaging
N Naik, S Zhao, A Velten, R Raskar, K Bala
Proceedings of the 2011 SIGGRAPH Asia conference, 1-10, 2011
1252011
A light transport model for mitigating multipath interference in time-of-flight sensors
N Naik, A Kadambi, C Rhemann, S Izadi, R Raskar, S Bing Kang
IEEE Conference on Computer Vision and Pattern Recognition, 73-81, 2015
108*2015
Cities are physical too: Using computer vision to measure the quality and impact of urban appearance
N Naik, R Raskar, CA Hidalgo
American Economic Review 106 (5), 128-132, 2016
1002016
Are safer looking neighborhoods more lively?: A multimodal investigation into urban life
M De Nadai, RL Vieriu, G Zen, S Dragicevic, N Naik, M Caraviello, ...
ACM Multimedia Conference, 1127-1135, 2016
752016
Casting your model: Learning to localize improves self-supervised representations
RR Selvaraju, K Desai, J Johnson, N Naik
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 11058-11067, 2021
592021
ProGen2: exploring the boundaries of protein language models
E Nijkamp, J Ruffolo, EN Weinstein, N Naik, A Madani
arXiv preprint arXiv:2206.13517, 2022
572022
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