NIPS Submissions

Weighted Self-Incremental Transfer Learning for 3D-Semantic Segmentation
Mohammed Abdou, Mahmoud Elkhateeb, Ibrahim Sobh, Ahmad El-sallab
- Oct 11, 2018 (edited Oct 12, 2018)
- NIPS 2018 Workshop MLITS Submission
- Readers: Everyone
Taxi Demand-Supply Forecasting: Impact of Spatial Partitioning on the Performance of Neural Networks
Neema Davis, Gaurav Raina, Krishna Jagannathan
- Oct 12, 2018
- NIPS 2018 Workshop MLITS Submission
- Readers: Everyone
Approximate Robust Control of Uncertain Dynamical Systems
Edouard Leurent, Yann Blanco, Denis Efimov, Odalric-Ambrym Maillard
- Oct 12, 2018
- NIPS 2018 Workshop MLITS Submission
- Readers: Everyone
Towards Comprehensive Maneuver Decisions for Lane Change Using Reinforcement Learning
Chen Chen, Jun Qian, Hengshuai Yao, Jun Luo, Hongbo Zhang, Wulong Liu
- Oct 12, 2018
- NIPS 2018 Workshop MLITS Submission
- Readers: Everyone
Robust Auto-parking: Reinforcement Learning based Real-time Planning Approach with Domain Template
Yuzheng Zhuang, Qiang Gu, Bin Wang, Jun Luo, Hongbo Zhang, Wulong Liu
- Oct 12, 2018
- NIPS 2018 Workshop MLITS Submission
- Readers: Everyone
Learning to Drive in a Day
Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, Amar Shah
- Oct 11, 2018
- NIPS 2018 Workshop MLITS Submission
- Readers: Everyone
Deep Object Centric Policies for Autonomous Driving
Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell
- Oct 11, 2018
- NIPS 2018 Workshop MLITS Submission
- Readers: Everyone
DeepJet: A Machine Learning Environment for High-energy Physics
Swapneel Mehta, Mauro Verzetti, Jan Kieseler, Markus Stoye
- Oct 08, 2018 (edited Oct 10, 2018)
- NIPS 2018 Workshop MLOSS Submission
- Readers: Everyone
Machine Learning at Microsoft with ML.NET
Matteo Interlandi, Sergiy Matusevych, Saeed Amizadeh, Shauheen Zahirazami, Markus Weimer
- Oct 08, 2018 (edited Oct 09, 2018)
- NIPS 2018 Workshop MLOSS Submission
- Readers: Everyone
XPlane-ML - an Environment for Learning and Decision Systems for Airplane Operations
Tyler C. Staudinger, Zachary D. Jorgensen, Dragos D. Margineantu
- Oct 08, 2018 (edited Oct 08, 2018)
- NIPS 2018 Workshop MLOSS Submission
- Readers: Everyone
Reproducing Machine Learning Research on Binder
Jessica Forde, Matthias Bussonnier, Félix-Antoine Fortin, Brian Granger, Tim Head, Chris Holdgraf, Paul Ivanov, Kyle Kelley, M Pacer, Yuvi Panda, Fernando Perez, Gladys Nalvarte, Benjamin Ragan-Kelley, Zachary Sailer, Steven Silvester, Erik Sundell, Carol Willing
- Sep 30, 2018 (edited Oct 08, 2018)
- NIPS 2018 Workshop MLOSS Submission
- Readers: Everyone
Open Fabric for Deep Learning Models
Falk Pollok, Scott Boag, Maria-Irina Nicolae
- Oct 02, 2018 (edited Oct 08, 2018)
- NIPS 2018 Workshop MLOSS Submission
- Readers: Everyone
Building, growing and sustaining ML communities
Martin Andrews, Sam Witteveen
- Oct 08, 2018
- NIPS 2018 Workshop MLOSS Submission
- Readers: Everyone
MXFusion: A Modular Deep Probabilistic Programming Library
Zhenwen Dai, Eric Meissner, Neil D. Lawrence
- Oct 08, 2018
- NIPS 2018 Workshop MLOSS Submission
- Readers: Everyone
Why every GBM speed benchmark is wrong
Anna Veronika Dorogush, Vasily Ershov, Dmitriy Kruchinin
- Sep 30, 2018 (edited Oct 08, 2018)
- NIPS 2018 Workshop MLOSS Submission
- Readers: Everyone
DeepPavlov: An Open Source Library for Conversational AI
Mikhail Burtsev, Alexander Seliverstov, Rafael Airapetyan, Mikhail Arkhipov, Dilyara Baymurzina, Eugene Botvinovsky, Nickolay Bushkov, Olga Gureenkova, Andrey Kamenev, Vasily Konovalov, Yuri Kuratov, Denis Kuznetsov, Alexey Litinsky, Alexey Lymar, Maxim Petrov, Leonid Pugachev, Alexey Sorokin, Maria Vikhreva
- Oct 07, 2018
- NIPS 2018 Workshop MLOSS Submission
- Readers: Everyone
McTorch, a manifold optimization library for deep learning
Mayank Meghwanshi, Pratik Jawanpuria, Anoop Kunchukuttan, Hiroyuki Kasai, Bamdev Mishra
- Oct 03, 2018
- NIPS 2018 Workshop MLOSS Submission
- Readers: Everyone
A Brief Survey on Autonomous Vehicle Possible Attacks,Exploits and Vulnerabilities
Amara Dinesh Kumar, Koti Naga Renu Chebrolu, Vinayakumar R, Soman KP
- Sep 22, 2018 (edited Oct 01, 2018)
- NIPS 2018 Workshop MLITS Submission
- Readers: Everyone
mlpack open-source machine learning library and community
Marcus Edel
- Sep 26, 2018 (edited Oct 01, 2018)
- NIPS 2018 Workshop MLOSS Submission
- Readers: Everyone
Stochastic optimization library: SGDLibrary
Hiroyuki Kasai
- Sep 26, 2018 (edited Oct 01, 2018)
- NIPS 2018 Workshop MLOSS Submission
- Readers: Everyone
Gravity: A Mathematical Modeling Language for Optimization and Machine Learning
Hassan Hijazi, Guanglei Wang, Carleton Coffrin
- Sep 28, 2018 (edited Oct 01, 2018)
- NIPS 2018 Workshop MLOSS Submission
- Readers: Everyone
Accelerating Machine Learning Research with MI-Prometheus
Tomasz Kornuta, Vincent Marois, Ryan L. McAvoy, Younes Bouhadjar, Alexis Asseman, Vincent Albouy, T.S. Jayram, Ahmet S. Ozcan
- Sep 29, 2018 (edited Oct 01, 2018)
- NIPS 2018 Workshop MLOSS Submission
- Readers: Everyone
Open Source Machine Learning Software Development in CERN(High-Energy Physics): lessons and exchange of experience
Sergei Gleyzer
- Sep 30, 2018 (edited Oct 01, 2018)
- NIPS 2018 Workshop MLOSS Submission
- Readers: Everyone
xpandas - python data containers for structured types and structured machine learning tasks
Vitaly Davydov, Franz J. Király
- Sep 30, 2018 (edited Oct 01, 2018)
- NIPS 2018 Workshop MLOSS Submission
- Readers: Everyone
PyMC's Big Adventure: Lessons Learned from the Development of Open-source Software for Probabilistic Programming
Christopher J. Fonnesbeck
- Sep 30, 2018 (edited Oct 01, 2018)
- NIPS 2018 Workshop MLOSS Submission
- Readers: Everyone