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Neural Networks

11,300 papers

Papers per year

Papers

Path-Level Network Transformation for Efficient Architecture Search ICML 2018
Learning and Memorization ICML 2018
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations ICML 2018
Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks ICML 2018
Noisin: Unbiased Regularization for Recurrent Neural Networks ICML 2018
Essentially No Barriers in Neural Network Energy Landscape ICML 2018
On the Power of Over-parametrization in Neural Networks with Quadratic Activation ICML 2018
Non-linear motor control by local learning in spiking neural networks ICML 2018
Learning One Convolutional Layer with Overlapping Patches ICML 2018
Deep Models of Interactions Across Sets ICML 2018
Learning Memory Access Patterns ICML 2018
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform ICML 2018
WSNet: Compact and Efficient Networks Through Weight Sampling ICML 2018
Kronecker Recurrent Units ICML 2018
Focused Hierarchical RNNs for Conditional Sequence Processing ICML 2018
ContextNet: Deep learning for Star Galaxy Classification ICML 2018
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) ICML 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups ICML 2018
Trainable Calibration Measures for Neural Networks from Kernel Mean Embeddings ICML 2018
Understanding the Loss Surface of Neural Networks for Binary Classification ICML 2018
The Multilinear Structure of ReLU Networks ICML 2018
Gated Path Planning Networks ICML 2018
Towards Binary-Valued Gates for Robust LSTM Training ICML 2018
The Dynamics of Learning: A Random Matrix Approach ICML 2018
Reviving and Improving Recurrent Back-Propagation ICML 2018