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Model Architecture

4,354 papers

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Papers

Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search ICML 2019
Graph Element Networks: adaptive, structured computation and memory ICML 2019
A fully differentiable beam search decoder ICML 2019
DL2: Training and Querying Neural Networks with Logic ICML 2019
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities ICML 2019
Rate Distortion For Model Compression:From Theory To Practice ICML 2019
Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications ICML 2019
On the Impact of the Activation function on Deep Neural Networks Training ICML 2019
Training CNNs with Selective Allocation of Channels ICML 2019
Geometry Aware Convolutional Filters for Omnidirectional Images Representation ICML 2019
Similarity of Neural Network Representations Revisited ICML 2019
Self-Attention Graph Pooling ICML 2019
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group ICML 2019
Area Attention ICML 2019
Same, Same But Different: Recovering Neural Network Quantization Error Through Weight Factorization ICML 2019
Understanding and correcting pathologies in the training of learned optimizers ICML 2019
Good Initializations of Variational Bayes for Deep Models ICML 2019
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation ICML 2019
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects ICML 2019
The Evolved Transformer ICML 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks ICML 2019
Adaptive Neural Trees ICML 2019
Manifold Mixup: Better Representations by Interpolating Hidden States ICML 2019
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis ICML 2019
Simplifying Graph Convolutional Networks ICML 2019