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Model Architecture

4,354 papers

Papers per year

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22
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Papers

Splitting Steepest Descent for Growing Neural Architectures NIPS 2019
General E(2)-Equivariant Steerable CNNs NIPS 2019
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models NIPS 2019
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness NIPS 2019
Towards modular and programmable architecture search NIPS 2019
Superposition of many models into one NIPS 2019
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data NIPS 2019
Focused Quantization for Sparse CNNs NIPS 2019
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks NIPS 2019
Channel Gating Neural Networks NIPS 2019
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data NIPS 2019
Efficient Forward Architecture Search NIPS 2019
DATA: Differentiable ArchiTecture Approximation NIPS 2019
Neural Networks with Cheap Differential Operators NIPS 2019
Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models NIPS 2019
Lookahead Optimizer: k steps forward, 1 step back NIPS 2019
A Condition Number for Joint Optimization of Cycle-Consistent Networks NIPS 2019
Partially Encrypted Deep Learning using Functional Encryption NIPS 2019
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics NIPS 2019
Fast and Accurate Stochastic Gradient Estimation NIPS 2019
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning NIPS 2019
On Lazy Training in Differentiable Programming NIPS 2019
Towards Practical Alternating Least-Squares for CCA NIPS 2019
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks NIPS 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library NIPS 2019