Openface: A general-purpose face recognition library with mobile applications B Amos, B Ludwiczuk, M Satyanarayanan CMU, 2016 | 1388 | 2016 |
OptNet: Differentiable optimization as a layer in neural networks B Amos, JZ Kolter ICML, 2017 | 1013 | 2017 |
Input convex neural networks B Amos, L Xu, JZ Kolter ICML, 2017 | 650 | 2017 |
Differentiable convex optimization layers A Agrawal*, B Amos*, S Barratt*, S Boyd*, S Diamond*, JZ Kolter* NeurIPS, 2019 | 640 | 2019 |
Edge analytics in the internet of things M Satyanarayanan, P Simoens, Y Xiao, P Pillai, Z Chen, K Ha, W Hu, ... IEEE Pervasive Computing, 2015 | 542 | 2015 |
Improving sample efficiency in model-free reinforcement learning from images D Yarats, A Zhang, I Kostrikov, B Amos, J Pineau, R Fergus AAAI, 2021 | 410 | 2021 |
Differentiable MPC for end-to-end planning and control B Amos, I Jimenez, J Sacks, B Boots, JZ Kolter NeurIPS, 2018 | 409 | 2018 |
Task-based end-to-end model learning in stochastic optimization P Donti, B Amos, JZ Kolter NeurIPS, 2017 | 359 | 2017 |
Applying machine learning classifiers to dynamic android malware detection at scale B Amos, H Turner, J White IWCMC, 2013 | 261 | 2013 |
An empirical study of latency in an emerging class of edge computing applications for wearable cognitive assistance Z Chen, W Hu, J Wang, S Zhao, B Amos, G Wu, K Ha, K Elgazzar, P Pillai, ... SEC, 2017 | 257 | 2017 |
Quantifying the impact of edge computing on mobile applications W Hu, Y Gao, K Ha, J Wang, B Amos, Z Chen, P Pillai, M Satyanarayanan APSys, 2016 | 212 | 2016 |
Generalized inner loop meta-learning E Grefenstette, B Amos, D Yarats, PM Htut, A Molchanov, F Meier, D Kiela, ... arXiv, 2019 | 166 | 2019 |
Adaptive VM handoff across cloudlets K Ha, Y Abe, Z Chen, W Hu, B Amos, P Pillai, M Satyanarayanan CMU, 2015 | 163 | 2015 |
A scalable and privacy-aware IoT service for live video analytics J Wang, B Amos, A Das, P Pillai, N Sadeh, M Satyanarayanan MMSys, 2017 | 159 | 2017 |
Privacy mediators: Helping iot cross the chasm N Davies, N Taft, M Satyanarayanan, S Clinch, B Amos HotMobile, 2016 | 131 | 2016 |
Learning Neural Event Functions for Ordinary Differential Equations RTQ Chen, B Amos, M Nickel ICLR, 2021 | 121 | 2021 |
You can teach elephants to dance: Agile VM handoff for edge computing K Ha, Y Abe, T Eiszler, Z Chen, W Hu, B Amos, R Upadhyaya, P Pillai, ... SEC, 2017 | 118 | 2017 |
Objective Mismatch in Model-based Reinforcement Learning N Lambert, B Amos, O Yadan, R Calandra L4DC, 2020 | 95 | 2020 |
Neural Spatio-Temporal Point Processes RTQ Chen, B Amos, M Nickel ICLR, 2021 | 94 | 2021 |
Depth-limited solving for imperfect-information games N Brown, T Sandholm, B Amos NeurIPS, 2018 | 93 | 2018 |