Papers
Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control
Paul Drews, Grady Williams, Brian Goldfain et al.
End-to-End Learning of Semantic Grasping
Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor et al.
Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning
Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh et al.
Principal Variety Analysis
Reza Iraji, Hamidreza Chitsaz
Improved Adversarial Systems for 3D Object Generation and Reconstruction
Edward J. Smith, David Meger
Adaptable Pouring: Teaching Robots Not to Spill using Fast but Approximate Fluid Simulation
Tatiana Lopez-Guevara, Nicholas K Taylor, Michael U Gutmann et al.
Opportunistic Active Learning for Grounding Natural Language Descriptions
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov et al.
Efficient Automatic Perception System Parameter Tuning On Site without Expert Supervision
Humphrey Hu, George Kantor
Deep Kernels for Optimizing Locomotion Controllers
Rika Antonova, Akshara Rai, Christopher G. Atkeson
Active Incremental Learning of Robot Movement Primitives
Guilherme Maeda, Marco Ewerton, Takayuki Osa et al.
Fast Residual Forests: Rapid Ensemble Learning for Semantic Segmentation
Yan Zuo, Tom Drummond
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
Vincenzo Lomonaco, Davide Maltoni
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla et al.
Detrended Partial Cross Correlation for Brain Connectivity Analysis
Jaime Ide, Fábio Cappabianco, Fabio Faria et al.
Value Prediction Network
Junhyuk Oh, Satinder Singh, Honglak Lee
NeuralFDR: Learning Discovery Thresholds from Hypothesis Features
Fei Xia, Martin J Zhang, James Y Zou et al.
Generating steganographic images via adversarial training
Jamie Hayes, George Danezis
The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities
Arun Suggala, Mladen Kolar, Pradeep K Ravikumar
Multi-way Interacting Regression via Factorization Machines
Mikhail Yurochkin, Xuanlong Nguyen, nikolaos Vasiloglou
Nonlinear Acceleration of Stochastic Algorithms
Damien Scieur, Francis Bach, Alexandre d'Aspremont
Balancing information exposure in social networks
Kiran Garimella, Aristides Gionis, Nikos Parotsidis et al.
Active Exploration for Learning Symbolic Representations
Garrett Andersen, George Konidaris
Natural Value Approximators: Learning when to Trust Past Estimates
Zhongwen Xu, Joseph Modayil, Hado P van Hasselt et al.
EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms
Yogatheesan Varatharajah, Min Jin Chong, Krishnakant Saboo et al.