| Sensitivity of Sparse Codes to Image Distortions | 0 | 0.34 | 2022 |
| Reward Prediction Error as an Exploration Objective in Deep RL | 0 | 0.34 | 2020 |
| Acoustic collision detection and localization for robot manipulators | 1 | 0.36 | 2020 |
| Q-Learning for Continuous Actions with Cross-Entropy Guided Policies. | 0 | 0.34 | 2019 |
| Learning Metric Graphs for Neuron Segmentation in Electron Microscopy Images | 1 | 0.35 | 2019 |
| Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy. | 2 | 0.39 | 2019 |
| Convergence of gradient descent-ascent analyzed as a Newtonian dynamical system with dissipation. | 0 | 0.34 | 2019 |
| Pixels To Plans: Learning Non-Prehensile Manipulation By Imitating A Planner | 0 | 0.34 | 2019 |
| Unsupervised Learning By A "Softened" Correlation Game: Duality And Convergence | 0 | 0.34 | 2019 |
| QXplore: Q-learning Exploration by Maximizing Temporal Difference Error. | 0 | 0.34 | 2019 |
| Siamese Encoding and Alignment by Multiscale Learning with Self-Supervision. | 0 | 0.34 | 2019 |
| Weakly Supervised Deep Metric Learning for Template Matching | 0 | 0.34 | 2019 |
| PZnet: Efficient 3D ConvNet Inference on Manycore CPUs | 0 | 0.34 | 2019 |
| Variance-Preserving Initialization Schemes Improve Deep Network Training: But Which Variance is Preserved? | 0 | 0.34 | 2019 |
| Chunkflow: Distributed Hybrid Cloud Processing of Large 3D Images by Convolutional Nets | 0 | 0.34 | 2019 |
| Program Synthesis Through Reinforcement Learning Guided Tree Search. | 0 | 0.34 | 2018 |
| Two "correlation games" for a nonlinear network with Hebbian excitatory neurons and anti-Hebbian inhibitory neurons. | 0 | 0.34 | 2018 |
| Unsupervised learning by a nonlinear network with Hebbian excitatory and anti-Hebbian inhibitory neurons. | 1 | 0.40 | 2018 |
| Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification. | 14 | 1.29 | 2017 |
| Compile-time optimized and statically scheduled N-D convnet primitives for multi-core and many-core (Xeon Phi) CPUs. | 4 | 0.41 | 2017 |
| Superhuman Accuracy on the SNEMI3D Connectomics Challenge. | 4 | 0.42 | 2017 |
| Deep Learning Improves Template Matching by Normalized Cross Correlation. | 0 | 0.34 | 2017 |
| A correlation game for unsupervised learning yields computational interpretations of Hebbian excitation, anti-Hebbian inhibition, and synapse elimination. | 0 | 0.34 | 2017 |
| Scalable training of 3D convolutional networks on multi- and many-cores. | 2 | 0.37 | 2017 |
| An Error Detection and Correction Framework for Connectomics | 1 | 0.35 | 2017 |
| ZNNi - Maximizing the Inference Throughput of 3D Convolutional Networks on Multi-Core CPUs and GPUs. | 0 | 0.34 | 2016 |
| ZNNi: maximizing the inference throughput of 3D convolutional networks on CPUs and GPUs. | 2 | 0.43 | 2016 |
| Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks. | 5 | 0.51 | 2016 |
| Image Segmentation by Size-Dependent Single Linkage Clustering of a Watershed Basin Graph | 5 | 0.46 | 2015 |
| Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction. | 0 | 0.34 | 2015 |
| ZNN -- A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-core and Many-Core Shared Memory Machines | 11 | 0.87 | 2015 |
| Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Detection | 9 | 0.58 | 2015 |
| Learning to Agglomerate Superpixel Hierarchies. | 25 | 1.03 | 2011 |
| Convolutional networks can learn to generate affinity graphs for image segmentation | 43 | 14.62 | 2010 |
| Boundary Learning by Optimization with Topological Constraints | 18 | 1.19 | 2010 |
| Maximin affinity learning of image segmentation | 28 | 2.54 | 2009 |
| Maximin affinity learning of image segmentation. | 0 | 0.34 | 2009 |
| Operant matching as a Nash equilibrium of an intertemporal game. | 4 | 0.53 | 2009 |
| Natural Image Denoising with Convolutional Networks | 35 | 4.43 | 2008 |
| Intrinsic bursting enhances the robustness of a neural network model of sequence generation by avian brain area HVC. | 12 | 0.92 | 2007 |
| Neural voting machines. | 2 | 0.38 | 2006 |
| Neural voting machines. | 2 | 0.38 | 2006 |
| Representing Part-Whole Relationships in Recurrent Neural Networks | 1 | 0.35 | 2005 |
| Actuating a simple 3D passive dynamic walker | 43 | 4.48 | 2004 |
| Bci Competition 2003 - Data Set Ia: Combining Gamma-Band Power With Slow Cortical Potentials To Improve Single-Trrial Classification Of Electroencephalographic Signals | 39 | 7.38 | 2004 |
| Stochastic policy gradient reinforcement learning on a simple 3D biped | 64 | 4.44 | 2004 |
| Equivalence of backpropagation and contrastive Hebbian learning in a layered network. | 28 | 1.82 | 2003 |
| Learning curves for stochastic gradient descent in linear feedforward networks. | 26 | 2.76 | 2003 |
| Selectively grouping neurons in recurrent networks of lateral inhibition. | 33 | 3.63 | 2002 |
| A theory of neural integration in the head-direction system | 0 | 0.34 | 2001 |
