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Neural Networks

11,300 papers

Papers per year

Papers

Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding NIPS 2018
Relational recurrent neural networks NIPS 2018
Improved Expressivity Through Dendritic Neural Networks NIPS 2018
Learning long-range spatial dependencies with horizontal gated recurrent units NIPS 2018
Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks NIPS 2018
Parsimonious Bayesian deep networks NIPS 2018
Neural Nearest Neighbors Networks NIPS 2018
LF-Net: Learning Local Features from Images NIPS 2018
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces NIPS 2018
PointCNN: Convolution On X-Transformed Points NIPS 2018
Non-Local Recurrent Network for Image Restoration NIPS 2018
Fast 3D Modeling with Approximated Convolutional Kernels CORL 2018
Conditional Affordance Learning for Driving in Urban Environments CORL 2018
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks CORL 2018
Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization CORL 2018
The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems CORL 2018
Learning Audio Feedback for Estimating Amount and Flow of Granular Material CORL 2018
HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems CORL 2018
Modular meta-learning CORL 2018
Robust and Scalable Differentiable Neural Computer for Question Answering ACL 2018
Comparative Analysis of Neural QA models on SQuAD ACL 2018
Compositional Morpheme Embeddings with Affixes as Functions and Stems as Arguments ACL 2018
Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL? ACL 2018
A Simple End-to-End Question Answering Model for Product Information ACL 2018
Joint Part-of-Speech and Language ID Tagging for Code-Switched Data ACL 2018