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Neural Networks

11,300 papers

Papers per year

Papers

Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks NIPS 2018
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures NIPS 2018
Complex Gated Recurrent Neural Networks NIPS 2018
Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks NIPS 2018
Learning to Infer Graphics Programs from Hand-Drawn Images NIPS 2018
Neural Ordinary Differential Equations NIPS 2018
Task-Driven Convolutional Recurrent Models of the Visual System NIPS 2018
Image Inpainting via Generative Multi-column Convolutional Neural Networks NIPS 2018
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices NIPS 2018
BRITS: Bidirectional Recurrent Imputation for Time Series NIPS 2018
VideoCapsuleNet: A Simplified Network for Action Detection NIPS 2018
Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability NIPS 2018
FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction NIPS 2018
Improving Neural Program Synthesis with Inferred Execution Traces NIPS 2018
PCA of high dimensional random walks with comparison to neural network training NIPS 2018
Faster Neural Networks Straight from JPEG NIPS 2018
HitNet: Hybrid Ternary Recurrent Neural Network NIPS 2018
SLAYER: Spike Layer Error Reassignment in Time NIPS 2018
Neighbourhood Consensus Networks NIPS 2018
Compact Generalized Non-local Network NIPS 2018
SplineNets: Continuous Neural Decision Graphs NIPS 2018
Knowledge Distillation by On-the-Fly Native Ensemble NIPS 2018
Constructing Deep Neural Networks by Bayesian Network Structure Learning NIPS 2018
Bilinear Attention Networks NIPS 2018
Constructing Fast Network through Deconstruction of Convolution NIPS 2018