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NIPS Submissions
Machine Learning Automation Toolbox (MLAUT)
Franz J. Kiraly
,
Viktor Kazakov
30 Sep 2018 (modified: 01 Oct 2018)
NIPS 2018 Workshop MLOSS Submission
Readers:
Everyone
Workshop contribution MLJ
Diego Arenas
,
Edoardo Barp
,
Gergö Bohner
,
Valentin Churvay
,
Franz Kiraly
,
Thibaut Lienart
,
Sebastian Vollmer
,
Mike Innes
,
Bernd Bischl
30 Sep 2018 (modified: 01 Oct 2018)
NIPS 2018 Workshop MLOSS Submission
Readers:
Everyone
Sherpa: Hyperparameter Optimization for Machine Learning Models
Lars Hertel
,
Julian Collado
,
Peter Sadowski
,
Pierre Baldi
30 Sep 2018 (modified: 01 Oct 2018)
NIPS 2018 Workshop MLOSS Submission
Readers:
Everyone
Modeling Preemptive Behaviors for Uncommon Hazardous Situations From Demonstrations
Priyam Parashar
,
Akansel Cosgun
,
Alireza Nakhaei
,
Kikuo Fujimura
31 Oct 2017 (modified: 13 Jun 2018)
NIPS 2017 Workshop MLITS Submission
Readers:
Everyone
A modern compiler infrastructure for deep learning systems with adjoint code generation in a domain-specific IR
Richard Wei
,
Lane Schwartz
,
Vikram Adve
28 Oct 2017 (modified: 07 Dec 2017)
NIPS 2017 Workshop Autodiff Submission
Readers:
Everyone
End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies
Hesham M. Eraqi
,
Mohamed N. Moustafa
,
Jens Honer
31 Oct 2017 (modified: 22 Nov 2017)
NIPS 2017 Workshop MLITS Submission
Readers:
Everyone
Motion and Appearance Based Multi-Task Learning Network for Autonomous Driving
Mennatullah Siam
,
Heba Mahgoub
,
Mohamed Zahran
,
Senthil Yogamani
,
Martin Jagersand
,
Ahmad El-Sallab
31 Oct 2017 (modified: 20 Nov 2017)
NIPS 2017 Workshop MLITS Submission
Readers:
Everyone
withdraw
withdraw
11 Oct 2017 (modified: 11 Nov 2017)
NIPS 2017 Workshop MLITS Submission
Readers:
Everyone
Automatic Differentiation Equipped Variable Elimination for Sensitivity Analysis on Probabilistic Inference Queries
Jeff Druce
03 Nov 2017
NIPS 2017 Workshop Autodiff Submission
Readers:
Everyone
Achieving linear or quadratic convergence on piecewise smooth optimization problems
Andreas Griewank
,
Andrea Walther
03 Nov 2017
NIPS 2017 Workshop Autodiff Submission
Readers:
Everyone
Deep occupancy maps: a continuous mapping technique for dynamic environments
Ransalu Senanayake
,
Thushan Ganegedara
,
Fabio Ramos
31 Oct 2017
NIPS 2017 Workshop MLITS Submission
Readers:
Everyone
Sequence stacking using dual encoder Seq2Seq recurrent networks
Alessandro Bay
,
Biswa Sengupta
31 Oct 2017
NIPS 2017 Workshop MLITS Submission
Readers:
Everyone
A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving
Xiangyu Yue
,
Bichen Wu
,
Kurt Keutzer
,
Alberto Sangiovanni-Vincentelli
,
Sanjit A. Seshia
31 Oct 2017
NIPS 2017 Workshop MLITS Submission
Readers:
Everyone
Vehicle Classification on Low-resolution and Occluded images: A low-cost labeled dataset for augmentation
Deepak Mittal
,
Mudamala Avinash Reddy
,
Gitakrishnan Ramadurai
,
Kaushik Mitra
,
Balaraman Ravindran
31 Oct 2017
NIPS 2017 Workshop MLITS Submission
Readers:
Everyone
AutonoVi-Sim: Autonomous Vehicle Simulation Platform with Weather, Sensing, and Traffic control
Andrew Best
,
Sahil Narang
,
Lucas Pasqualin
,
Daniel Barber
,
Dinesh Manocha
31 Oct 2017
NIPS 2017 Workshop MLITS Submission
Readers:
Everyone
CASNSC: A context-based approach for accurate pedestrian motion prediction at intersections
Nikita Japuria
,
Golnaz Habibi
,
Jonathan P. How
31 Oct 2017
NIPS 2017 Workshop MLITS Submission
Readers:
Everyone
On the Real-Time Vehicle Placement Problem
Abhinav Jauhri
,
Carlee Joe-Wong
,
John Paul Shen
31 Oct 2017
NIPS 2017 Workshop MLITS Submission
Readers:
Everyone
Tactical Decision Making for Lane Changing with Deep Reinforcement Learning
Mustafa Mukadam
,
Akansel Cosgun
,
Alireza Nakhaei
,
Kikuo Fujimura
31 Oct 2017
NIPS 2017 Workshop MLITS Submission
Readers:
Everyone
Unified Transport Engine: Learning to Predict Traffic Congestions
Ramesh Sarukkai
,
Shaohui Sun
31 Oct 2017
NIPS 2017 Workshop MLITS Submission
Readers:
Everyone
How automatic differentiation improves numerical weather forecasting and promising applications of gradient machine learning with automatic differentiation
Daniel Holdaway
29 Oct 2017
NIPS 2017 Workshop Autodiff Submission
Readers:
Everyone
End-to-end Training of Differentiable Pipelines Across Machine Learning Frameworks
Mitar Milutinovic
,
Atılım Güneş Baydin
,
Robert Zinkov
,
William Harvey
,
Dawn Song
,
Frank Wood
,
Wade Shen
29 Oct 2017 (modified: 29 Oct 2017)
NIPS 2017 Workshop Autodiff Submission
Readers:
Everyone
An Overview of High Order Reverse Mode
Mu Wang
,
Alex Pothen
28 Oct 2017
NIPS 2017 Workshop Autodiff Submission
Readers:
Everyone
Automatic Differentiation in Myia
Olivier Breuleux
,
Bart van Merriënboer
28 Oct 2017
NIPS 2017 Workshop Autodiff Submission
Readers:
Everyone
Automatic Differentiation of Parallelised Convolutional Neural Networks - Lessons from Adjoint PDE Solvers
Jan Hückelheim
,
Paul Hovland
28 Oct 2017
NIPS 2017 Workshop Autodiff Submission
Readers:
Everyone
Automatic differentiation in PyTorch
Adam Paszke
,
Sam Gross
,
Soumith Chintala
,
Gregory Chanan
,
Edward Yang
,
Zachary DeVito
,
Zeming Lin
,
Alban Desmaison
,
Luca Antiga
,
Adam Lerer
28 Oct 2017 (modified: 28 Oct 2017)
NIPS 2017 Workshop Autodiff Submission
Readers:
Everyone
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